BACKGROUND Inappropriate selection of patients with early gastric cancer(EGC)for endoscopic submucosal dissection(ESD)may lead to non-curative resection,necessitating additional gastrectomy.Conversely,inappropriate se...BACKGROUND Inappropriate selection of patients with early gastric cancer(EGC)for endoscopic submucosal dissection(ESD)may lead to non-curative resection,necessitating additional gastrectomy.Conversely,inappropriate selection for gastrectomy may result in overtreatment,adversely affecting patients’quality of life.Few have systematically evaluated the concordance between therapeutic indications under current Japanese guidelines and pathological criteria in EGC.To minimize noncurative resection risks while sparing unnecessary surgery for low-risk patients’,we specifically assess the suitability of Japanese guidelines in non-Japanese populations.This work aims to optimize clinical practice by refining endoscopic treatment criteria for adoption beyond Japan.AIM To evaluate EGC clinical decision accuracy by comparing therapeutic indication with postoperative pathological criteria and analyzing factors influencing discrepancies.METHODS A retrospective analysis was conducted on 796 EGC cases diagnosed at Peking University Third Hospital between January 2010 and December 2022.Cases were categorized into three groups:Same-estimated(preoperative therapeutic indication with postoperative pathological criteria matched),underestimated(preoperative ESD indication but postoperative surgical criteria),and overestimated(preoperative surgical indication but postoperative ESD criteria).The rate of discrepancy and associated risk factors were assessed.RESULTS The accuracy rates of preoperative evaluation for ESD and gastrectomy indications were 73.0%(321/430)and 76.0%(278/366),respectively.The overall discrepancy rate was 25.6%(204/796).Multivariate analysis identified tumor location in the upper-third stomach(odds ratio=2.158,95%confidence interval:1.373-3.390,P=0.001)was significantly associated with a higher likelihood of being underestimated and undifferentiated histologic type on preoperative biopsy(odds ratio=2.005,95%confidence interval:1.036-3.879,P=0.039)was more likely to be overestimated.Significant differences were observed in tumor diameter(P<0.001),depth of infiltration(P<0.001),ulcerative findings(P<0.001),and histologic type(P<0.001)between preoperative and postoperative evaluations.CONCLUSION The accuracy of preoperative EGC indications is 74.4%.Upper-third stomach and undifferentiated histology are primary discrepancy predictors.Upper-third tumors are prone to underestimation,while undifferentiated tumors are prone to overestimation.展开更多
Parkinson's disease(PD)is the second most common neurodegenerative disorder.The clinical manifestations of PD include motor symptoms,such as bradykinesia,resting tremor,rigidity,and nonmotor symptoms,which include...Parkinson's disease(PD)is the second most common neurodegenerative disorder.The clinical manifestations of PD include motor symptoms,such as bradykinesia,resting tremor,rigidity,and nonmotor symptoms,which include disturbances in sleep,gastrointestinal function,and olfaction.PD misdiagnosis rates have been reported to reach approximately 30%,partly owing to the heterogeneity of parkinsonism with non-PD pathologies,and the differential diagnosis of PD from neurodegenerative diseases such as multiple systemic atrophy(MSA)and progressive supranuclear palsy poses another unmet need.展开更多
Small intestinal villi are essential for nutrient absorption,and their impairment can lead to malabsorption.Small intestinal villous atrophy(VA)encompasses a heterogeneous group of disorders,including immune-mediated ...Small intestinal villi are essential for nutrient absorption,and their impairment can lead to malabsorption.Small intestinal villous atrophy(VA)encompasses a heterogeneous group of disorders,including immune-mediated conditions(e.g.,celiac disease,autoimmune enteropathy,inborn errors of immunity),lymphoproliferative disorders(e.g.,enteropathy-associated T-cell lymphoma),infectious causes(e.g.,tropical sprue,Whipple’s disease),iatrogenic factors(e.g.,Olmesartanassociated enteropathy,graft-vs-host disease),as well as inflammatory and idiopathic types.These disorders are often rare and challenging to distinguish due to overlapping clinical,serological,endoscopic,and histopathological features.Through a systematic literature search using keywords such as small intestinal VA,malabsorption,and specific enteropathies,this review provides a comprehensive overview of diagnostic clues for VA and malabsorption.We systematically summarize the pathological characteristics of each condition to assist pathologists and clinicians in accurately identifying the underlying etiologies.Current studies still have many limitations and lack broader and deeper investigations into these diseases.Therefore,future research should focus on the development of novel diagnostic tools,predictive models,therapeutic targets,and mechanistic molecular studies to refine both diagnosis and management strategies.展开更多
The purpose of this perspective is to discuss the future development of a potential treatment of glial pathology in Alzheimer's disease(AD) and a new regulatory mechanism, nuclear lipids, which may be involved in ...The purpose of this perspective is to discuss the future development of a potential treatment of glial pathology in Alzheimer's disease(AD) and a new regulatory mechanism, nuclear lipids, which may be involved in the pathogenesis of the disease, based on the work of the authors(Takasugi et al., 2011;Komai et al., 2024).展开更多
As a practicing anatomic pathologist specialized in urologic pathology,a vast difference may be observed between what pathologists designate as neuroendocrine(or small cell)carcinoma of the prostate,and what clinician...As a practicing anatomic pathologist specialized in urologic pathology,a vast difference may be observed between what pathologists designate as neuroendocrine(or small cell)carcinoma of the prostate,and what clinicians or basic scientists define as such.展开更多
Objective:To enhance the reading skills of clinical pathology residents,it is essential to establish a well-structured electronic pathology reading library.Methods:In accordance with the Resident Standardization Train...Objective:To enhance the reading skills of clinical pathology residents,it is essential to establish a well-structured electronic pathology reading library.Methods:In accordance with the Resident Standardization Training Content and Standards(2022 Edition),clinical pathology residents are required to master pathological diagnoses across 11 systems:skin,head and neck,mediastinum and respiratory,digestive,urinary and male reproductive,female reproductive and breast,lymphatic and hematopoietic,bone and soft tissue,cardiovascular,central nervous,and endocrine diseases.Senior pathologists specializing in each subspecialty selected classic pathological slides,which were systematically scanned and compiled into an electronic pathology library.Results:A questionnaire survey was conducted to gather feedback on the electronic pathology reading library.Residents generally found it to be convenient,efficient,and conducive to learning.Conclusion:Training in clinical pathology diagnosis is a core component of standardized resident training.The electronic pathology reading library has been well-received and recognized by resident doctors.However,further efforts are needed to explore diverse teaching methods that align with modern educational approaches,ultimately contributing to the development of highly skilled resident doctors.展开更多
Objective:This study aims to develop a deep multiscale image learning system(DMILS)to differentiate malignant from benign thyroid follicular neoplasms on multiscale whole-slide images(WSIs)of intraoperative frozen pat...Objective:This study aims to develop a deep multiscale image learning system(DMILS)to differentiate malignant from benign thyroid follicular neoplasms on multiscale whole-slide images(WSIs)of intraoperative frozen pathological images.Methods:A total of 1,213 patients were divided into training and validation sets,an internal test set,a pooled external test set,and a pooled prospective test set at three centers.DMILS was constructed using a deep learningbased weakly supervised method based on multiscale WSIs at 10×,20×,and 40×magnifications.The performance of the DMILS was compared with that of a single magnification and validated in two pathologist-unidentified subsets.Results:The DMILS yielded good performance,with areas under the receiver operating characteristic curves(AUCs)of 0.848,0.857,0.810,and 0.787 in the training and validation sets,internal test set,pooled external test set,and pooled prospective test set,respectively.The AUC of the DMILS was higher than that of a single magnification,with 0.788 of 10×,0.824 of 20×,and 0.775 of 40×in the internal test set.Moreover,DMILS yielded satisfactory performance on the two pathologist-unidentified subsets.Furthermore,the most indicative region predicted by DMILS is the follicular epithelium.Conclusions:DMILS has good performance in differentiating thyroid follicular neoplasms on multiscale WSIs of intraoperative frozen pathological images.展开更多
BACKGROUND The heterogeneous group of disorders called peripheral vascular diseases(PVDs)occurs outside the heart and brain tissue to cause ischemia and severe health complications.Diagnosis accuracy is essential in s...BACKGROUND The heterogeneous group of disorders called peripheral vascular diseases(PVDs)occurs outside the heart and brain tissue to cause ischemia and severe health complications.Diagnosis accuracy is essential in starting appropriate patient management at the proper time.Modern medicine considers skin biopsies crucial diagnostic tools that yield histopathological and molecular evidence for examining PVD-related microvascular changes.AIM To evaluate skin biopsy applications in PVD diagnostics through artistic analysis of technical processes and examination of pathological and innovative molecular indicators.METHODS A systematic review of randomized controlled trials and original studies about skin biopsy utility in PVD diagnosis used PubMed,Scopus,and EMBASE search platforms.The reviewed studies met specific entry requirements,while all case reports and review articles remained excluded.RESULTS A total of 22 studies suited the research criteria that were evaluated.Researchers emphasized the value of skin biopsies for identifying inflammatory from non-inflammatory PVDs.At the same time,they detect systemic sclerosis and diabetic vasculopathy abnormalities of micro-vessels and identify endothelial dysfunction through measurements of vascular endothelial growth factor and intercellular adhesion molecule-1 and endothelial nitric oxide synthase markers.Skin biopsies require further improvement because they cause patient discomfort and produce variable diagnostic results that specialists must interpret.CONCLUSION Skin biopsies enable essential diagnostic findings about PVD and improve patient detection.The development of standardized biopsy procedures and molecular diagnosis techniques should be studied to advance PVD diagnoses in clinical practice.展开更多
BACKGROUND The discrepancy between endoscopic biopsy pathology and the overall pathology of gastric low-grade intraepithelial neoplasia(LGIN)presents challenges in developing diagnostic and treatment protocols.AIM To ...BACKGROUND The discrepancy between endoscopic biopsy pathology and the overall pathology of gastric low-grade intraepithelial neoplasia(LGIN)presents challenges in developing diagnostic and treatment protocols.AIM To develop a risk prediction model for the pathological upgrading of gastric LGIN to aid clinical diagnosis and treatment.METHODS We retrospectively analyzed data from patients newly diagnosed with gastric LGIN who underwent complete endoscopic resection within 6 months at the First Medical Center of Chinese People’s Liberation Army General Hospital between January 2008 and December 2023.A risk prediction model for the pathological progression of gastric LGIN was constructed and evaluated for accuracy and clinical applicability.RESULTS A total of 171 patients were included in this study:93 patients with high-grade intraepithelial neoplasia or early gastric cancer and 78 with LGIN.The logistic stepwise regression model demonstrated a sensitivity and specificity of 0.868 and 0.800,respectively,while the least absolute shrinkage and selection operator(LASSO)regression model showed sensitivity and specificity values of 0.842 and 0.840,respectively.The area under the curve(AUC)for the logistic model was 0.896,slightly lower than the AUC of 0.904 for the LASSO model.Internal validation with 30%of the data yielded AUC scores of 0.908 for the logistic model and 0.905 for the LASSO model.The LASSO model provided greater utility in clinical decision-making.CONCLUSION A risk prediction model for the pathological upgrading of gastric LGIN based on white-light and magnifying endoscopic features can accurately and effectively guide clinical diagnosis and treatment.展开更多
BACKGROUND Esophageal squamous cell carcinoma is a major histological subtype of esophageal cancer.Many molecular genetic changes are associated with its occurrence.Raman spectroscopy has become a new method for the e...BACKGROUND Esophageal squamous cell carcinoma is a major histological subtype of esophageal cancer.Many molecular genetic changes are associated with its occurrence.Raman spectroscopy has become a new method for the early diagnosis of tumors because it can reflect the structures of substances and their changes at the molecular level.AIM To detect alterations in Raman spectral information across different stages of esophageal neoplasia.METHODS Different grades of esophageal lesions were collected,and a total of 360 groups of Raman spectrum data were collected.A 1D-transformer network model was proposed to handle the task of classifying the spectral data of esophageal squamous cell carcinoma.In addition,a deep learning model was applied to visualize the Raman spectral data and interpret their molecular characteristics.RESULTS A comparison among Raman spectral data with different pathological grades and a visual analysis revealed that the Raman peaks with significant differences were concentrated mainly at 1095 cm^(-1)(DNA,symmetric PO,and stretching vibration),1132 cm^(-1)(cytochrome c),1171 cm^(-1)(acetoacetate),1216 cm^(-1)(amide III),and 1315 cm^(-1)(glycerol).A comparison among the training results of different models revealed that the 1Dtransformer network performed best.A 93.30%accuracy value,a 96.65%specificity value,a 93.30%sensitivity value,and a 93.17%F1 score were achieved.CONCLUSION Raman spectroscopy revealed significantly different waveforms for the different stages of esophageal neoplasia.The combination of Raman spectroscopy and deep learning methods could significantly improve the accuracy of classification.展开更多
Alzheimer'sdisease(AD)isaprogressive neurodegenerative disorder characterized by cognitive impairment and distinct neuropathological features,including amyloid-βplaques,neurofibrillary tangles,and reactive astrog...Alzheimer'sdisease(AD)isaprogressive neurodegenerative disorder characterized by cognitive impairment and distinct neuropathological features,including amyloid-βplaques,neurofibrillary tangles,and reactive astrogliosis.Developing effective diagnostic,preventative,and therapeutic strategies for AD necessitates the establishment of animal models that accurately recapitulate the pathophysiological processes of the disease.Existing transgenic mouse models have significantly contributed to understanding AD pathology but often fail to replicate the complexity of human AD.Additionally,these models are limited in their ability to elucidate the interplay among amyloid-βplaques,neurofibrillary tangles,and reactive astrogliosis due to the absence of spatially and temporally specific genetic manipulation.In this study,we introduce a novel AD mouse model(APP/PS1-TauP301L-Adeno mice)designed to rapidly induce pathological symptoms and enhance understanding of AD mechanisms.Neurofibrillary tangles and severe reactive astrogliosis were induced by injecting AAVDJ-EF1a-hTauP301L-EGFP and Adeno-GFAP-GFP viruses into the hippocampi of 5-month-old APP/PS1 mice.Three months post-injection,these mice exhibited pronounced astrogliosis,substantial amyloid-βplaque accumulation,extensiveneurofibrillarytangles,accelerated neuronal loss,elevated astrocytic GABA levels,and significant spatial memory deficits.Notably,these pathological features were less severe in AAVTauP301L-expressing APP/PS1 mice without augmented reactive astrogliosis.These findings indicate an exacerbating role of severe reactive astrogliosis in amyloid-βplaque and neurofibrillary tangle-associated pathology.The APP/PS1-TauP301L-Adeno mouse model provides a valuable tool for advancing therapeutic research aimed at mitigating the progression of AD.展开更多
Alzheimer's disease (AD) is characterized by an imbalance between excitatory and inhibitory brain networks,leading to aberrant homeostatic synaptic plasticity.AD has progressively been recognized as syna ptopathy ...Alzheimer's disease (AD) is characterized by an imbalance between excitatory and inhibitory brain networks,leading to aberrant homeostatic synaptic plasticity.AD has progressively been recognized as syna ptopathy and syna ptic dysfunction has been identified as a key component of its pathogenesis (Schirinzi et al.,2020).Syna ptic dysfunction is believed to precede synapse loss,a primary biological correlate of cognitive decline in AD,inevita bly associated with neuronal death.展开更多
BACKGROUND Pancreatic cancer remains one of the most lethal malignancies worldwide,with a poor prognosis often attributed to late diagnosis.Understanding the correlation between pathological type and imaging features ...BACKGROUND Pancreatic cancer remains one of the most lethal malignancies worldwide,with a poor prognosis often attributed to late diagnosis.Understanding the correlation between pathological type and imaging features is crucial for early detection and appropriate treatment planning.AIM To retrospectively analyze the relationship between different pathological types of pancreatic cancer and their corresponding imaging features.METHODS We retrospectively analyzed the data of 500 patients diagnosed with pancreatic cancer between January 2010 and December 2020 at our institution.Pathological types were determined by histopathological examination of the surgical spe-cimens or biopsy samples.The imaging features were assessed using computed tomography,magnetic resonance imaging,and endoscopic ultrasound.Statistical analyses were performed to identify significant associations between pathological types and specific imaging characteristics.RESULTS There were 320(64%)cases of pancreatic ductal adenocarcinoma,75(15%)of intraductal papillary mucinous neoplasms,50(10%)of neuroendocrine tumors,and 55(11%)of other rare types.Distinct imaging features were identified in each pathological type.Pancreatic ductal adenocarcinoma typically presents as a hypodense mass with poorly defined borders on computed tomography,whereas intraductal papillary mucinous neoplasms present as characteristic cystic lesions with mural nodules.Neuroendocrine tumors often appear as hypervascular lesions in contrast-enhanced imaging.Statistical analysis revealed significant correlations between specific imaging features and pathological types(P<0.001).CONCLUSION This study demonstrated a strong association between the pathological types of pancreatic cancer and imaging features.These findings can enhance the accuracy of noninvasive diagnosis and guide personalized treatment approaches.展开更多
This study aims to explore the unconscious motivations underlying migration in Niger, with an emphasis on understanding the phenomenon of pathological travel. Its aim is to identify the unconscious factors of patholog...This study aims to explore the unconscious motivations underlying migration in Niger, with an emphasis on understanding the phenomenon of pathological travel. Its aim is to identify the unconscious factors of pathological travel among migrants. Pathological travel, as discussed in the scientific literature on psychopathology, is characterised by movements initiated under the influence of delusions, hallucinations or other serious psychiatric disorders. The aim of this research is to contribute to our understanding of how these unconscious factors influence migration decisions. Using a retrospective analysis of five cases, this study examines the psychological and psychiatric dimensions of migration, particularly among patients referred to the psychiatry department of the Niamey National Hospital between 2017 and 2018. The five cases analysed, representing 12% of a cohort of 40 migrant patients, suffered from chronic psychotic disorders, including schizophrenia and chronic hallucinatory psychosis. By means of diagnostic interviews and categorical sorting, three main unconscious motivations were identified: the delusional state with themes of filiation and persecution, the hallucinations that dictated the travel behaviour, and the dissociative states manifested by depersonalisation and derealisation. It also emerges from this analysis that pathological travel often involves prolonged journeys on foot and without purpose. Thus, untreated mental illness plays a significant role in shaping and influencing individual and social behaviour. The results of this study have important implications for public health and migration policy. They highlight the need to integrate health assessments into migration management systems, particularly in regions serving as transit hubs for migrants. The research also highlights the need for culturally sensitive psychiatric interventions to address the interaction between pre-existing mental disorders and migration. This study contributes to a better understanding of the psychological dimensions of migration by highlighting the importance of addressing mental health as an integral part of humanitarian action. The knowledge gained paves the way for future research to explore this understudied aspect of migration on a broader scale.展开更多
The damage map is an important tool for the investigation of the conservation state of a building,especially when the surveyed element is a property with historical preservation interest.Thereby,we consider that the f...The damage map is an important tool for the investigation of the conservation state of a building,especially when the surveyed element is a property with historical preservation interest.Thereby,we consider that the full understanding of the construction techniques is crucial to diagnose anomalies found in the facades of the buildings.It is very important to know the materials used in the construction and the routine of building maintenance.It is also necessary to emphasize the importance of having historical information about interventions and modifications that the building’s structure suffered over the years in order to obtain data and requirements for the complete configuration of the analyzed building.This article results from a master's research in progress and it aims to present the process of the development of a damage map,seeking its implementation in a real case study,the facades of the Carmo’s Church in the city of Olinda.There are three reasons why we chose this church to study.First,this building is inserted in the Historic Centre of the Town of Olinda,which is inscribed on the UNESCO’s World Heritage list since 1982;second it was built in 1588 configuring the oldest church of the Carmelite Order in Brazil and finally the building has been restored and recovered recently in July 2012 and it is observed that,after four years,we observe some pathological manifestations in their facades.展开更多
AIM:To investigate the clinicopathological features of cranial-nasal-orbital communicating lesions and identify key diagnostic indicators for differentiating benign and malignant neoplasms.METHODS:The retrospective co...AIM:To investigate the clinicopathological features of cranial-nasal-orbital communicating lesions and identify key diagnostic indicators for differentiating benign and malignant neoplasms.METHODS:The retrospective cohort study analyzed 74 histologically confirmed cases stratified by anatomical involvement at the Wuhan Union Hospital between January 2010 and December 2020:Group A(orbital-nasal group,n=29),Group B(orbital-cranial group,n=27),and Group C(cranial-nasal-orbital group,n=18).Clinicopathological profiles including symptom presentation,histopathology,and invasion patterns were systematically evaluated.RESULTS:The cohort comprised 49(66.2%)benign and 25(33.8%)malignant lesions.Compared with benign lesions,malignant lesions had a shorter onset time(12mo vs 2.5mo,P=0.004)and resulted in poorer vision(0.6 vs 1.53,P=0.025).Headache was reported in 28.6%of patients with benign lesions,but none in those with malignant lesions(P=0.002).Conjunctival congestion and edema were observed in 32.7%of patients with benign lesions and 60%of patients with malignant lesions(P=0.028).The ethmoid sinus was the most frequently invaded site(35 cases).Malignant lesions showed greater invasion in the nasal cavity(28.0%vs 0,P=0.000)and anterior cranial fossa(40.0%vs 8.2%,P=0.003)than benign lesions.The orbital-cranial group was more likely to invade through osseous foramina compared with the orbitalnasal group(P=0.002).Neurogenic tumors predominated benign cases(34.7%),whereas blood derived(28%)and glandular tumors(28%)were most prevalent in malignant subgroups.The proportion of malignant tumors in multidisciplinary combined surgery was higher than that of benign lesions(61.5%vs 38.5%).CONCLUSION:Malignant cranial-nasal-orbital communicating lesions exhibit distinct clinicopathological signatures characterized by rapid progression,aggressive anterior fossa and nasal region,and severe visual morbidity.展开更多
AIM:To explore the methylation status of MSH6 in retinoblastoma(RB)and its impact on clinicopathological features and diagnosis.METHODS:Differentially expressed genes were identified through bioinformatics screening o...AIM:To explore the methylation status of MSH6 in retinoblastoma(RB)and its impact on clinicopathological features and diagnosis.METHODS:Differentially expressed genes were identified through bioinformatics screening of the GSE24673 and GSE125903 datasets,combined with GeneCards database analysis.A total of 102 RB patients and 62 traumaenucleated controls between January 2018 and December 2023 were enrolled,with their clinicopathological data and retinal tissues collected.The mRNA and methylation levels of MSH6 in retinal tissues were detected using real-time quantitative polymerase chain reaction(PCR)and methylation-specific PCR.Western blot analysis was conducted in one pair of RB and control tissues for preliminary protein-level validation of MSH6 expression.Based on the methylation status of MSH6,RB patients were categorized into two groups:low-methylation and highmethylation.Both univariate and multivariate analyses were conducted to identify independent factors influencing the methylation levels using clinicopathological data.Receiver operating characteristic(ROC)curves were applied to evaluate the diagnostic potential of MSH6 methylation in RB.RESULTS:Bioinformatics analysis of public datasets revealed that MSH6 expression was downregulated across multiple cancers,RB.Consistently,in clinical RB tissues,MSH6 mRNA expression was significantly lower than that in control retinal tissues,whereas the promoter methylation level of MSH6 was markedly higher(both P<0.001),indicating that promoter hypermethylation may contribute to transcriptional silencing of MSH6 in RB.Patients with higher MSH6 methylation levels showed more advanced pathological classification and a higher frequency of metastasis.Multivariate logistic regression confirmed that metastatic status(P=0.008,OR=3.51)and pathological classification(P=0.005,OR=3.7)were independent factors associated with MSH6 methylation.Receiver operating characteristic(ROC)analysis demonstrated that MSH6 methylation could effectively distinguish RB tissues from non-tumorous controls(AUC=0.847,sensitivity=78.43%,specificity=80.65%),suggesting that MSH6 hypermethylation may serve as a potential diagnostic biomarker for RB.CONCLUSION:The methylation level of the MSH6 gene may be a key factor in RB pathogenesis.The methylation status of the MSH6 gene is closely associated with clinicopathological features and shows diagnostic potential.展开更多
BACKGROUND Chronic hepatitis B virus(HBV)infection acquired in childhood frequently presents with mild or nonspecific symptoms,yet a distinct subset of pediatric patients develops rapid progression to liver cirrhosis(...BACKGROUND Chronic hepatitis B virus(HBV)infection acquired in childhood frequently presents with mild or nonspecific symptoms,yet a distinct subset of pediatric patients develops rapid progression to liver cirrhosis(LC)before adulthood.AIM To identify clinical and pathological characteristics of pediatric HBV-related LC.METHODS A total of 1332 pediatric patients with chronic HBV infection from the Fifth Medical Center of PLA General Hospital from January 2010 to January 2023 were included in this study.We identified 62 pediatric HBV-related LC by liver biopsy from the group.Subsequently,we described the clinical and pathological characteristics of pediatric LC.And 64 pediatric chronic hepatitis B(CHB;age and sex were matched with pediatric LC group)and 69 adult HBV-related LC(sex were matched with pediatric LC group)were enrolled to further demonstrate clinical and pathological differences between pediatric LC,pediatric CHB and adult LC.RESULTS We enrolled 62 pediatric LC,including 54(87.1%)males and 8(12.9%)females.The median age was 11(4-14)years old.The pediatric LC group showed significantly lower median quantitative HBV DNA loads(log10IU/mL:6.3 vs 17.4,P<0.001),reduced HBsAg titers(log10IU/mL:3.11 vs 8.956,P<0.0001),and diminished hepatitis B e antigen-positive positive rate(81.4%vs 93.8%,P<0.05)compared with pediatric CHB.A higher proportion of pediatric patients were asymptomatic(77.4%)compared to adult patients(11.6%)as they first diagnosed as LC,pediatric LC showed milder initial symptoms compared with adult patients such as fatigue(4.8%vs 27.5%),abdominal discomfort(9.7%vs 23.2%),nausea(0%vs 10.1%),and poor appetite(6.5%vs 8.7%;all P<0.0001).Notably,pediatric LC can achieve a significant percentage of functional cure compared with adult LC as 17.4%and 0%.The incidence of progression of LC in children after antiviral therapy continues to be much lower than that in adult LC(hazard ratio=6.102,95%confidence interval:1.72-21.65,P=0.00051).While the incidence of LC remission in children after antiviral therapy continues to be much higher than that in adult LC(hazard ratio=0.055,95%confidence interval:0.07128-0.2802,P<0.0001).CONCLUSION Pediatric patients with HBV-related cirrhosis exhibit elevated virological parameters and heightened transaminase levels than adult patients.However,the frequent paucity of overt clinical symptoms contributes to diagnostic challenges.Notably,early initiation of antiviral therapy in this population substantially improved clinical outcomes.展开更多
BACKGROUND Esophageal cancer is the sixth most common cancer worldwide,with a high mortality rate.Early prognosis of esophageal abnormalities can improve patient survival rates.The progression of esophageal cancer fol...BACKGROUND Esophageal cancer is the sixth most common cancer worldwide,with a high mortality rate.Early prognosis of esophageal abnormalities can improve patient survival rates.The progression of esophageal cancer follows a sequence from esophagitis to non-dysplastic Barrett’s esophagus,dysplastic Barrett’s esophagus,and eventually esophageal adenocarcinoma(EAC).This study explored the application of deep learning technology in the precise diagnosis of pathological classification and staging of EAC to enhance diagnostic accuracy and efficiency.AIM To explore the application of deep learning models,particularly Wave-Vision Transformer(Wave-ViT),in the pathological classification and staging of esophageal cancer to enhance diagnostic accuracy and efficiency.METHODS We applied several deep learning models,including multi-layer perceptron,residual network,transformer,and Wave-ViT,to a dataset of clinically validated esophageal pathology images.The models were trained to identify pathological features and assist in the classification and staging of different stages of esophageal cancer.The models were compared based on accuracy,computational complexity,and efficiency.RESULTS The Wave-ViT model demonstrated the highest accuracy at 88.97%,surpassing the transformer(87.65%),residual network(85.44%),and multi-layer perceptron(81.17%).Additionally,Wave-ViT exhibited low computational complexity with significantly reduced parameter size,making it highly efficient for real-time clinical applications.CONCLUSION Deep learning technology,particularly the Frequency-Domain Transformer model,shows promise in improving the precision of pathological classification and staging of EAC.The application of the Frequency-Domain Transformer model enhances the automation of the diagnostic process and may support early detection and treatment of EAC.Future research may further explore the potential of this model in broader medical image analysis applications,particularly in the field of precision medicine.展开更多
Li et al’s recent work on the risk factors for autoimmune gastritis provides clinical context for the vast majority of gastric neuroendocrine tumors(G-NETs).However,a deeper understanding of the underlying pathology ...Li et al’s recent work on the risk factors for autoimmune gastritis provides clinical context for the vast majority of gastric neuroendocrine tumors(G-NETs).However,a deeper understanding of the underlying pathology is needed for precise clinical management.Our letter details the predictable stepwise progression of type 1 G-NETs from autoimmune-driven corporal atrophy and hypergastrinemia to a clear microscopic sequence of enterochromaffin-like cell precursor lesions,including linear hyperplasia,micronodular hyperplasia,and dysplasia.We highlight the definitive diagnostic thresholds that separate these precursors from overt neoplasia:The 0.5 mm size rule and the presence of submucosal invasion.We advocate for a“prognostic biopsy protocol”in which pathologists actively report these precursor lesions and use Ki-67 to grade G-NETs,providing a quantitative risk assessment.This pathology-centric approach transforms surveillance,allowing clinicians to act on objective microscopic milestones rather than waiting for macroscopically visible tumors.展开更多
基金Supported by China Health&Medical Development Foundation,No.M2021551.
文摘BACKGROUND Inappropriate selection of patients with early gastric cancer(EGC)for endoscopic submucosal dissection(ESD)may lead to non-curative resection,necessitating additional gastrectomy.Conversely,inappropriate selection for gastrectomy may result in overtreatment,adversely affecting patients’quality of life.Few have systematically evaluated the concordance between therapeutic indications under current Japanese guidelines and pathological criteria in EGC.To minimize noncurative resection risks while sparing unnecessary surgery for low-risk patients’,we specifically assess the suitability of Japanese guidelines in non-Japanese populations.This work aims to optimize clinical practice by refining endoscopic treatment criteria for adoption beyond Japan.AIM To evaluate EGC clinical decision accuracy by comparing therapeutic indication with postoperative pathological criteria and analyzing factors influencing discrepancies.METHODS A retrospective analysis was conducted on 796 EGC cases diagnosed at Peking University Third Hospital between January 2010 and December 2022.Cases were categorized into three groups:Same-estimated(preoperative therapeutic indication with postoperative pathological criteria matched),underestimated(preoperative ESD indication but postoperative surgical criteria),and overestimated(preoperative surgical indication but postoperative ESD criteria).The rate of discrepancy and associated risk factors were assessed.RESULTS The accuracy rates of preoperative evaluation for ESD and gastrectomy indications were 73.0%(321/430)and 76.0%(278/366),respectively.The overall discrepancy rate was 25.6%(204/796).Multivariate analysis identified tumor location in the upper-third stomach(odds ratio=2.158,95%confidence interval:1.373-3.390,P=0.001)was significantly associated with a higher likelihood of being underestimated and undifferentiated histologic type on preoperative biopsy(odds ratio=2.005,95%confidence interval:1.036-3.879,P=0.039)was more likely to be overestimated.Significant differences were observed in tumor diameter(P<0.001),depth of infiltration(P<0.001),ulcerative findings(P<0.001),and histologic type(P<0.001)between preoperative and postoperative evaluations.CONCLUSION The accuracy of preoperative EGC indications is 74.4%.Upper-third stomach and undifferentiated histology are primary discrepancy predictors.Upper-third tumors are prone to underestimation,while undifferentiated tumors are prone to overestimation.
基金supported by Swiss Center for Applied Human Toxicology(SCAHT AP22-01)(to RN)。
文摘Parkinson's disease(PD)is the second most common neurodegenerative disorder.The clinical manifestations of PD include motor symptoms,such as bradykinesia,resting tremor,rigidity,and nonmotor symptoms,which include disturbances in sleep,gastrointestinal function,and olfaction.PD misdiagnosis rates have been reported to reach approximately 30%,partly owing to the heterogeneity of parkinsonism with non-PD pathologies,and the differential diagnosis of PD from neurodegenerative diseases such as multiple systemic atrophy(MSA)and progressive supranuclear palsy poses another unmet need.
基金Supported by National High-Level Hospital Clinical Research Funding,No.2022-PUMCH-B-022,and No.2022-PUMCH-D-002CAMS Innovation Fund for Medical Sciences,No.CIFMS 2021-1-I2M-003Undergraduate Innovation Program,No.2024dcxm025.
文摘Small intestinal villi are essential for nutrient absorption,and their impairment can lead to malabsorption.Small intestinal villous atrophy(VA)encompasses a heterogeneous group of disorders,including immune-mediated conditions(e.g.,celiac disease,autoimmune enteropathy,inborn errors of immunity),lymphoproliferative disorders(e.g.,enteropathy-associated T-cell lymphoma),infectious causes(e.g.,tropical sprue,Whipple’s disease),iatrogenic factors(e.g.,Olmesartanassociated enteropathy,graft-vs-host disease),as well as inflammatory and idiopathic types.These disorders are often rare and challenging to distinguish due to overlapping clinical,serological,endoscopic,and histopathological features.Through a systematic literature search using keywords such as small intestinal VA,malabsorption,and specific enteropathies,this review provides a comprehensive overview of diagnostic clues for VA and malabsorption.We systematically summarize the pathological characteristics of each condition to assist pathologists and clinicians in accurately identifying the underlying etiologies.Current studies still have many limitations and lack broader and deeper investigations into these diseases.Therefore,future research should focus on the development of novel diagnostic tools,predictive models,therapeutic targets,and mechanistic molecular studies to refine both diagnosis and management strategies.
基金supported by a grant from the Japan Foundation for applied enzymology (to NT)the Grant-in-Aid for Scientific Research (C) from the Japan Society for the Promotion of Science (26430059, 17K08272, and 20K07014 to NT)+1 种基金the establishment of university fellowships toward the creation of science technology innovation (JPMJFS2128)a Grant-in-Aid for JSPS Fellows (23KJ1603)(to MK)。
文摘The purpose of this perspective is to discuss the future development of a potential treatment of glial pathology in Alzheimer's disease(AD) and a new regulatory mechanism, nuclear lipids, which may be involved in the pathogenesis of the disease, based on the work of the authors(Takasugi et al., 2011;Komai et al., 2024).
文摘As a practicing anatomic pathologist specialized in urologic pathology,a vast difference may be observed between what pathologists designate as neuroendocrine(or small cell)carcinoma of the prostate,and what clinicians or basic scientists define as such.
文摘Objective:To enhance the reading skills of clinical pathology residents,it is essential to establish a well-structured electronic pathology reading library.Methods:In accordance with the Resident Standardization Training Content and Standards(2022 Edition),clinical pathology residents are required to master pathological diagnoses across 11 systems:skin,head and neck,mediastinum and respiratory,digestive,urinary and male reproductive,female reproductive and breast,lymphatic and hematopoietic,bone and soft tissue,cardiovascular,central nervous,and endocrine diseases.Senior pathologists specializing in each subspecialty selected classic pathological slides,which were systematically scanned and compiled into an electronic pathology library.Results:A questionnaire survey was conducted to gather feedback on the electronic pathology reading library.Residents generally found it to be convenient,efficient,and conducive to learning.Conclusion:Training in clinical pathology diagnosis is a core component of standardized resident training.The electronic pathology reading library has been well-received and recognized by resident doctors.However,further efforts are needed to explore diverse teaching methods that align with modern educational approaches,ultimately contributing to the development of highly skilled resident doctors.
基金supported by the Taishan Scholar Project(No.ts20190991,tsqn202211378)the Key R&D Project of Shandong Province(No.2022CXPT023)the General Program of National Natural Science Foundation of China(No.82371933)。
文摘Objective:This study aims to develop a deep multiscale image learning system(DMILS)to differentiate malignant from benign thyroid follicular neoplasms on multiscale whole-slide images(WSIs)of intraoperative frozen pathological images.Methods:A total of 1,213 patients were divided into training and validation sets,an internal test set,a pooled external test set,and a pooled prospective test set at three centers.DMILS was constructed using a deep learningbased weakly supervised method based on multiscale WSIs at 10×,20×,and 40×magnifications.The performance of the DMILS was compared with that of a single magnification and validated in two pathologist-unidentified subsets.Results:The DMILS yielded good performance,with areas under the receiver operating characteristic curves(AUCs)of 0.848,0.857,0.810,and 0.787 in the training and validation sets,internal test set,pooled external test set,and pooled prospective test set,respectively.The AUC of the DMILS was higher than that of a single magnification,with 0.788 of 10×,0.824 of 20×,and 0.775 of 40×in the internal test set.Moreover,DMILS yielded satisfactory performance on the two pathologist-unidentified subsets.Furthermore,the most indicative region predicted by DMILS is the follicular epithelium.Conclusions:DMILS has good performance in differentiating thyroid follicular neoplasms on multiscale WSIs of intraoperative frozen pathological images.
文摘BACKGROUND The heterogeneous group of disorders called peripheral vascular diseases(PVDs)occurs outside the heart and brain tissue to cause ischemia and severe health complications.Diagnosis accuracy is essential in starting appropriate patient management at the proper time.Modern medicine considers skin biopsies crucial diagnostic tools that yield histopathological and molecular evidence for examining PVD-related microvascular changes.AIM To evaluate skin biopsy applications in PVD diagnostics through artistic analysis of technical processes and examination of pathological and innovative molecular indicators.METHODS A systematic review of randomized controlled trials and original studies about skin biopsy utility in PVD diagnosis used PubMed,Scopus,and EMBASE search platforms.The reviewed studies met specific entry requirements,while all case reports and review articles remained excluded.RESULTS A total of 22 studies suited the research criteria that were evaluated.Researchers emphasized the value of skin biopsies for identifying inflammatory from non-inflammatory PVDs.At the same time,they detect systemic sclerosis and diabetic vasculopathy abnormalities of micro-vessels and identify endothelial dysfunction through measurements of vascular endothelial growth factor and intercellular adhesion molecule-1 and endothelial nitric oxide synthase markers.Skin biopsies require further improvement because they cause patient discomfort and produce variable diagnostic results that specialists must interpret.CONCLUSION Skin biopsies enable essential diagnostic findings about PVD and improve patient detection.The development of standardized biopsy procedures and molecular diagnosis techniques should be studied to advance PVD diagnoses in clinical practice.
基金Supported by the National Key Research and Development Program of China,No.2022YFC2503600。
文摘BACKGROUND The discrepancy between endoscopic biopsy pathology and the overall pathology of gastric low-grade intraepithelial neoplasia(LGIN)presents challenges in developing diagnostic and treatment protocols.AIM To develop a risk prediction model for the pathological upgrading of gastric LGIN to aid clinical diagnosis and treatment.METHODS We retrospectively analyzed data from patients newly diagnosed with gastric LGIN who underwent complete endoscopic resection within 6 months at the First Medical Center of Chinese People’s Liberation Army General Hospital between January 2008 and December 2023.A risk prediction model for the pathological progression of gastric LGIN was constructed and evaluated for accuracy and clinical applicability.RESULTS A total of 171 patients were included in this study:93 patients with high-grade intraepithelial neoplasia or early gastric cancer and 78 with LGIN.The logistic stepwise regression model demonstrated a sensitivity and specificity of 0.868 and 0.800,respectively,while the least absolute shrinkage and selection operator(LASSO)regression model showed sensitivity and specificity values of 0.842 and 0.840,respectively.The area under the curve(AUC)for the logistic model was 0.896,slightly lower than the AUC of 0.904 for the LASSO model.Internal validation with 30%of the data yielded AUC scores of 0.908 for the logistic model and 0.905 for the LASSO model.The LASSO model provided greater utility in clinical decision-making.CONCLUSION A risk prediction model for the pathological upgrading of gastric LGIN based on white-light and magnifying endoscopic features can accurately and effectively guide clinical diagnosis and treatment.
基金Supported by Beijing Hospitals Authority Youth Programme,No.QML20200505.
文摘BACKGROUND Esophageal squamous cell carcinoma is a major histological subtype of esophageal cancer.Many molecular genetic changes are associated with its occurrence.Raman spectroscopy has become a new method for the early diagnosis of tumors because it can reflect the structures of substances and their changes at the molecular level.AIM To detect alterations in Raman spectral information across different stages of esophageal neoplasia.METHODS Different grades of esophageal lesions were collected,and a total of 360 groups of Raman spectrum data were collected.A 1D-transformer network model was proposed to handle the task of classifying the spectral data of esophageal squamous cell carcinoma.In addition,a deep learning model was applied to visualize the Raman spectral data and interpret their molecular characteristics.RESULTS A comparison among Raman spectral data with different pathological grades and a visual analysis revealed that the Raman peaks with significant differences were concentrated mainly at 1095 cm^(-1)(DNA,symmetric PO,and stretching vibration),1132 cm^(-1)(cytochrome c),1171 cm^(-1)(acetoacetate),1216 cm^(-1)(amide III),and 1315 cm^(-1)(glycerol).A comparison among the training results of different models revealed that the 1Dtransformer network performed best.A 93.30%accuracy value,a 96.65%specificity value,a 93.30%sensitivity value,and a 93.17%F1 score were achieved.CONCLUSION Raman spectroscopy revealed significantly different waveforms for the different stages of esophageal neoplasia.The combination of Raman spectroscopy and deep learning methods could significantly improve the accuracy of classification.
基金supported by the National Research Foundation of Korea (NRF)funded by the Ministry of Science,ICT&Future Planning (2022R1A2C2006229,2022R1A6A3A01086868)Korea Dementia Research Project through the Korea Dementia Research Center (KDRC)funded by the Ministry of Health&Welfare and Ministry of Science and ICT,Republic of Korea (RS-2024-00345328)KIST Institutional Grant (2E32851)。
文摘Alzheimer'sdisease(AD)isaprogressive neurodegenerative disorder characterized by cognitive impairment and distinct neuropathological features,including amyloid-βplaques,neurofibrillary tangles,and reactive astrogliosis.Developing effective diagnostic,preventative,and therapeutic strategies for AD necessitates the establishment of animal models that accurately recapitulate the pathophysiological processes of the disease.Existing transgenic mouse models have significantly contributed to understanding AD pathology but often fail to replicate the complexity of human AD.Additionally,these models are limited in their ability to elucidate the interplay among amyloid-βplaques,neurofibrillary tangles,and reactive astrogliosis due to the absence of spatially and temporally specific genetic manipulation.In this study,we introduce a novel AD mouse model(APP/PS1-TauP301L-Adeno mice)designed to rapidly induce pathological symptoms and enhance understanding of AD mechanisms.Neurofibrillary tangles and severe reactive astrogliosis were induced by injecting AAVDJ-EF1a-hTauP301L-EGFP and Adeno-GFAP-GFP viruses into the hippocampi of 5-month-old APP/PS1 mice.Three months post-injection,these mice exhibited pronounced astrogliosis,substantial amyloid-βplaque accumulation,extensiveneurofibrillarytangles,accelerated neuronal loss,elevated astrocytic GABA levels,and significant spatial memory deficits.Notably,these pathological features were less severe in AAVTauP301L-expressing APP/PS1 mice without augmented reactive astrogliosis.These findings indicate an exacerbating role of severe reactive astrogliosis in amyloid-βplaque and neurofibrillary tangle-associated pathology.The APP/PS1-TauP301L-Adeno mouse model provides a valuable tool for advancing therapeutic research aimed at mitigating the progression of AD.
文摘Alzheimer's disease (AD) is characterized by an imbalance between excitatory and inhibitory brain networks,leading to aberrant homeostatic synaptic plasticity.AD has progressively been recognized as syna ptopathy and syna ptic dysfunction has been identified as a key component of its pathogenesis (Schirinzi et al.,2020).Syna ptic dysfunction is believed to precede synapse loss,a primary biological correlate of cognitive decline in AD,inevita bly associated with neuronal death.
文摘BACKGROUND Pancreatic cancer remains one of the most lethal malignancies worldwide,with a poor prognosis often attributed to late diagnosis.Understanding the correlation between pathological type and imaging features is crucial for early detection and appropriate treatment planning.AIM To retrospectively analyze the relationship between different pathological types of pancreatic cancer and their corresponding imaging features.METHODS We retrospectively analyzed the data of 500 patients diagnosed with pancreatic cancer between January 2010 and December 2020 at our institution.Pathological types were determined by histopathological examination of the surgical spe-cimens or biopsy samples.The imaging features were assessed using computed tomography,magnetic resonance imaging,and endoscopic ultrasound.Statistical analyses were performed to identify significant associations between pathological types and specific imaging characteristics.RESULTS There were 320(64%)cases of pancreatic ductal adenocarcinoma,75(15%)of intraductal papillary mucinous neoplasms,50(10%)of neuroendocrine tumors,and 55(11%)of other rare types.Distinct imaging features were identified in each pathological type.Pancreatic ductal adenocarcinoma typically presents as a hypodense mass with poorly defined borders on computed tomography,whereas intraductal papillary mucinous neoplasms present as characteristic cystic lesions with mural nodules.Neuroendocrine tumors often appear as hypervascular lesions in contrast-enhanced imaging.Statistical analysis revealed significant correlations between specific imaging features and pathological types(P<0.001).CONCLUSION This study demonstrated a strong association between the pathological types of pancreatic cancer and imaging features.These findings can enhance the accuracy of noninvasive diagnosis and guide personalized treatment approaches.
文摘This study aims to explore the unconscious motivations underlying migration in Niger, with an emphasis on understanding the phenomenon of pathological travel. Its aim is to identify the unconscious factors of pathological travel among migrants. Pathological travel, as discussed in the scientific literature on psychopathology, is characterised by movements initiated under the influence of delusions, hallucinations or other serious psychiatric disorders. The aim of this research is to contribute to our understanding of how these unconscious factors influence migration decisions. Using a retrospective analysis of five cases, this study examines the psychological and psychiatric dimensions of migration, particularly among patients referred to the psychiatry department of the Niamey National Hospital between 2017 and 2018. The five cases analysed, representing 12% of a cohort of 40 migrant patients, suffered from chronic psychotic disorders, including schizophrenia and chronic hallucinatory psychosis. By means of diagnostic interviews and categorical sorting, three main unconscious motivations were identified: the delusional state with themes of filiation and persecution, the hallucinations that dictated the travel behaviour, and the dissociative states manifested by depersonalisation and derealisation. It also emerges from this analysis that pathological travel often involves prolonged journeys on foot and without purpose. Thus, untreated mental illness plays a significant role in shaping and influencing individual and social behaviour. The results of this study have important implications for public health and migration policy. They highlight the need to integrate health assessments into migration management systems, particularly in regions serving as transit hubs for migrants. The research also highlights the need for culturally sensitive psychiatric interventions to address the interaction between pre-existing mental disorders and migration. This study contributes to a better understanding of the psychological dimensions of migration by highlighting the importance of addressing mental health as an integral part of humanitarian action. The knowledge gained paves the way for future research to explore this understudied aspect of migration on a broader scale.
文摘The damage map is an important tool for the investigation of the conservation state of a building,especially when the surveyed element is a property with historical preservation interest.Thereby,we consider that the full understanding of the construction techniques is crucial to diagnose anomalies found in the facades of the buildings.It is very important to know the materials used in the construction and the routine of building maintenance.It is also necessary to emphasize the importance of having historical information about interventions and modifications that the building’s structure suffered over the years in order to obtain data and requirements for the complete configuration of the analyzed building.This article results from a master's research in progress and it aims to present the process of the development of a damage map,seeking its implementation in a real case study,the facades of the Carmo’s Church in the city of Olinda.There are three reasons why we chose this church to study.First,this building is inserted in the Historic Centre of the Town of Olinda,which is inscribed on the UNESCO’s World Heritage list since 1982;second it was built in 1588 configuring the oldest church of the Carmelite Order in Brazil and finally the building has been restored and recovered recently in July 2012 and it is observed that,after four years,we observe some pathological manifestations in their facades.
基金Supported by Natural Science Foundation of Hubei Province(No.2023BCB147,No.2023AFB1026).
文摘AIM:To investigate the clinicopathological features of cranial-nasal-orbital communicating lesions and identify key diagnostic indicators for differentiating benign and malignant neoplasms.METHODS:The retrospective cohort study analyzed 74 histologically confirmed cases stratified by anatomical involvement at the Wuhan Union Hospital between January 2010 and December 2020:Group A(orbital-nasal group,n=29),Group B(orbital-cranial group,n=27),and Group C(cranial-nasal-orbital group,n=18).Clinicopathological profiles including symptom presentation,histopathology,and invasion patterns were systematically evaluated.RESULTS:The cohort comprised 49(66.2%)benign and 25(33.8%)malignant lesions.Compared with benign lesions,malignant lesions had a shorter onset time(12mo vs 2.5mo,P=0.004)and resulted in poorer vision(0.6 vs 1.53,P=0.025).Headache was reported in 28.6%of patients with benign lesions,but none in those with malignant lesions(P=0.002).Conjunctival congestion and edema were observed in 32.7%of patients with benign lesions and 60%of patients with malignant lesions(P=0.028).The ethmoid sinus was the most frequently invaded site(35 cases).Malignant lesions showed greater invasion in the nasal cavity(28.0%vs 0,P=0.000)and anterior cranial fossa(40.0%vs 8.2%,P=0.003)than benign lesions.The orbital-cranial group was more likely to invade through osseous foramina compared with the orbitalnasal group(P=0.002).Neurogenic tumors predominated benign cases(34.7%),whereas blood derived(28%)and glandular tumors(28%)were most prevalent in malignant subgroups.The proportion of malignant tumors in multidisciplinary combined surgery was higher than that of benign lesions(61.5%vs 38.5%).CONCLUSION:Malignant cranial-nasal-orbital communicating lesions exhibit distinct clinicopathological signatures characterized by rapid progression,aggressive anterior fossa and nasal region,and severe visual morbidity.
文摘AIM:To explore the methylation status of MSH6 in retinoblastoma(RB)and its impact on clinicopathological features and diagnosis.METHODS:Differentially expressed genes were identified through bioinformatics screening of the GSE24673 and GSE125903 datasets,combined with GeneCards database analysis.A total of 102 RB patients and 62 traumaenucleated controls between January 2018 and December 2023 were enrolled,with their clinicopathological data and retinal tissues collected.The mRNA and methylation levels of MSH6 in retinal tissues were detected using real-time quantitative polymerase chain reaction(PCR)and methylation-specific PCR.Western blot analysis was conducted in one pair of RB and control tissues for preliminary protein-level validation of MSH6 expression.Based on the methylation status of MSH6,RB patients were categorized into two groups:low-methylation and highmethylation.Both univariate and multivariate analyses were conducted to identify independent factors influencing the methylation levels using clinicopathological data.Receiver operating characteristic(ROC)curves were applied to evaluate the diagnostic potential of MSH6 methylation in RB.RESULTS:Bioinformatics analysis of public datasets revealed that MSH6 expression was downregulated across multiple cancers,RB.Consistently,in clinical RB tissues,MSH6 mRNA expression was significantly lower than that in control retinal tissues,whereas the promoter methylation level of MSH6 was markedly higher(both P<0.001),indicating that promoter hypermethylation may contribute to transcriptional silencing of MSH6 in RB.Patients with higher MSH6 methylation levels showed more advanced pathological classification and a higher frequency of metastasis.Multivariate logistic regression confirmed that metastatic status(P=0.008,OR=3.51)and pathological classification(P=0.005,OR=3.7)were independent factors associated with MSH6 methylation.Receiver operating characteristic(ROC)analysis demonstrated that MSH6 methylation could effectively distinguish RB tissues from non-tumorous controls(AUC=0.847,sensitivity=78.43%,specificity=80.65%),suggesting that MSH6 hypermethylation may serve as a potential diagnostic biomarker for RB.CONCLUSION:The methylation level of the MSH6 gene may be a key factor in RB pathogenesis.The methylation status of the MSH6 gene is closely associated with clinicopathological features and shows diagnostic potential.
基金Supported by National Key R&D Program of China,No.2023YFC2308104Beijing Hospitals Authority Clinical Medicine Development of Special Funding Support,No.ZLRK202301National Natural Science Foundation of China,No.92159305.
文摘BACKGROUND Chronic hepatitis B virus(HBV)infection acquired in childhood frequently presents with mild or nonspecific symptoms,yet a distinct subset of pediatric patients develops rapid progression to liver cirrhosis(LC)before adulthood.AIM To identify clinical and pathological characteristics of pediatric HBV-related LC.METHODS A total of 1332 pediatric patients with chronic HBV infection from the Fifth Medical Center of PLA General Hospital from January 2010 to January 2023 were included in this study.We identified 62 pediatric HBV-related LC by liver biopsy from the group.Subsequently,we described the clinical and pathological characteristics of pediatric LC.And 64 pediatric chronic hepatitis B(CHB;age and sex were matched with pediatric LC group)and 69 adult HBV-related LC(sex were matched with pediatric LC group)were enrolled to further demonstrate clinical and pathological differences between pediatric LC,pediatric CHB and adult LC.RESULTS We enrolled 62 pediatric LC,including 54(87.1%)males and 8(12.9%)females.The median age was 11(4-14)years old.The pediatric LC group showed significantly lower median quantitative HBV DNA loads(log10IU/mL:6.3 vs 17.4,P<0.001),reduced HBsAg titers(log10IU/mL:3.11 vs 8.956,P<0.0001),and diminished hepatitis B e antigen-positive positive rate(81.4%vs 93.8%,P<0.05)compared with pediatric CHB.A higher proportion of pediatric patients were asymptomatic(77.4%)compared to adult patients(11.6%)as they first diagnosed as LC,pediatric LC showed milder initial symptoms compared with adult patients such as fatigue(4.8%vs 27.5%),abdominal discomfort(9.7%vs 23.2%),nausea(0%vs 10.1%),and poor appetite(6.5%vs 8.7%;all P<0.0001).Notably,pediatric LC can achieve a significant percentage of functional cure compared with adult LC as 17.4%and 0%.The incidence of progression of LC in children after antiviral therapy continues to be much lower than that in adult LC(hazard ratio=6.102,95%confidence interval:1.72-21.65,P=0.00051).While the incidence of LC remission in children after antiviral therapy continues to be much higher than that in adult LC(hazard ratio=0.055,95%confidence interval:0.07128-0.2802,P<0.0001).CONCLUSION Pediatric patients with HBV-related cirrhosis exhibit elevated virological parameters and heightened transaminase levels than adult patients.However,the frequent paucity of overt clinical symptoms contributes to diagnostic challenges.Notably,early initiation of antiviral therapy in this population substantially improved clinical outcomes.
文摘BACKGROUND Esophageal cancer is the sixth most common cancer worldwide,with a high mortality rate.Early prognosis of esophageal abnormalities can improve patient survival rates.The progression of esophageal cancer follows a sequence from esophagitis to non-dysplastic Barrett’s esophagus,dysplastic Barrett’s esophagus,and eventually esophageal adenocarcinoma(EAC).This study explored the application of deep learning technology in the precise diagnosis of pathological classification and staging of EAC to enhance diagnostic accuracy and efficiency.AIM To explore the application of deep learning models,particularly Wave-Vision Transformer(Wave-ViT),in the pathological classification and staging of esophageal cancer to enhance diagnostic accuracy and efficiency.METHODS We applied several deep learning models,including multi-layer perceptron,residual network,transformer,and Wave-ViT,to a dataset of clinically validated esophageal pathology images.The models were trained to identify pathological features and assist in the classification and staging of different stages of esophageal cancer.The models were compared based on accuracy,computational complexity,and efficiency.RESULTS The Wave-ViT model demonstrated the highest accuracy at 88.97%,surpassing the transformer(87.65%),residual network(85.44%),and multi-layer perceptron(81.17%).Additionally,Wave-ViT exhibited low computational complexity with significantly reduced parameter size,making it highly efficient for real-time clinical applications.CONCLUSION Deep learning technology,particularly the Frequency-Domain Transformer model,shows promise in improving the precision of pathological classification and staging of EAC.The application of the Frequency-Domain Transformer model enhances the automation of the diagnostic process and may support early detection and treatment of EAC.Future research may further explore the potential of this model in broader medical image analysis applications,particularly in the field of precision medicine.
基金Supported by the Chongqing Health Commission and Science and Technology Bureau,No.2023MSXM060.
文摘Li et al’s recent work on the risk factors for autoimmune gastritis provides clinical context for the vast majority of gastric neuroendocrine tumors(G-NETs).However,a deeper understanding of the underlying pathology is needed for precise clinical management.Our letter details the predictable stepwise progression of type 1 G-NETs from autoimmune-driven corporal atrophy and hypergastrinemia to a clear microscopic sequence of enterochromaffin-like cell precursor lesions,including linear hyperplasia,micronodular hyperplasia,and dysplasia.We highlight the definitive diagnostic thresholds that separate these precursors from overt neoplasia:The 0.5 mm size rule and the presence of submucosal invasion.We advocate for a“prognostic biopsy protocol”in which pathologists actively report these precursor lesions and use Ki-67 to grade G-NETs,providing a quantitative risk assessment.This pathology-centric approach transforms surveillance,allowing clinicians to act on objective microscopic milestones rather than waiting for macroscopically visible tumors.
