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
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
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
A recent study by Luo et al examined the relationship between the pathological types of pancreatic cancer(PC)and their imaging characteristics.While this study presented an important step toward improving diagnostic a...A recent study by Luo et al examined the relationship between the pathological types of pancreatic cancer(PC)and their imaging characteristics.While this study presented an important step toward improving diagnostic accuracy for PC,we have several concerns regarding its generalizability,cohort selection,imaging variability,statistical methods,and potential confounding factors.We recommended that future research adopt multi-center,prospective designs to improve representation and minimize bias.Additionally,incorporating advanced imaging techniques such as radiomics and artificial intelligence and conducting more comprehensive statistical analyses would be valuable.By implementing these strategies,future studies can yield more reliable and externally validated findings that improve the clinical applicability of imaging-based differentiation of PC.Addressing these methodological issues could significantly advance the field of gastrointestinal oncology and improve patient management and outcomes.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
One in every eight men in the US is diagnosed with prostate cancer,making it the most common cancer in men.Gleason grading is one of the most essential diagnostic and prognostic factors for planning the treatment of p...One in every eight men in the US is diagnosed with prostate cancer,making it the most common cancer in men.Gleason grading is one of the most essential diagnostic and prognostic factors for planning the treatment of prostate cancer patients.Traditionally,urological pathologists perform the grading by scoring the morphological pattern,known as the Gleason pattern,in histopathology images.However,thismanual grading is highly subjective,suffers intra-and inter-pathologist variability and lacks reproducibility.An automated grading system could be more efficient,with no subjectivity and higher accuracy and reproducibility.Automated methods presented previously failed to achieve sufficient accuracy,lacked reproducibility and depended on high-resolution images such as 40×.This paper proposes an automated Gleason grading method,ProGENET,to accurately predict the grade using low-resolution images such as 10×.This method first divides the patient’s histopathology whole slide image(WSI)into patches.Then,it detects artifacts and tissue-less regions and predicts the patch-wise grade using an ensemble network of CNN and transformer models.The proposed method adapted the International Society of Urological Pathology(ISUP)grading system and achieved 90.8%accuracy in classifying the patches into healthy and Gleason grades 1 through 5 using 10×WSI,outperforming the state-of-the-art accuracy by 27%.Finally,the patient’s grade was determined by combining the patch-wise results.The method was also demonstrated for 4−class grading and binary classification of prostate cancer,achieving 93.0%and 99.6%accuracy,respectively.The reproducibility was over 90%.Since the proposedmethod determined the grades with higher accuracy and reproducibility using low-resolution images,it is more reliable and effective than existing methods and can potentially improve subsequent therapy decisions.展开更多
Dear Editor,We aimed to describe the management of the intraoperative injury of the right external iliac artery that occurred during robot-assisted right nephroureterectomy with bladder cuff excision.Surgery was sched...Dear Editor,We aimed to describe the management of the intraoperative injury of the right external iliac artery that occurred during robot-assisted right nephroureterectomy with bladder cuff excision.Surgery was scheduled for suspected urothelial carcinoma of the distal ureter in a 60-year-old woman.The patient involved in the present research signed a dedicated form to consent to the publication of images and/or information about her.Past medical history included Brugada syndrome diagnosed in 2015,and hypercholesterolemia.Past surgical history included one cesarean section only.Family history included ovarian cancer(sister),colorectal cancer(mother),and kidney cancer(father).展开更多
AIM:To describe the alterations of the vitreous pathology and anterior chamber(AC)angle structures following transscleral cyclophotocoagulation(TSCP)and better understand the mechanism of post-laser intraocular pressu...AIM:To describe the alterations of the vitreous pathology and anterior chamber(AC)angle structures following transscleral cyclophotocoagulation(TSCP)and better understand the mechanism of post-laser intraocular pressure(IOP)reduction in angle-closure glaucoma(ACG).METHODS:Porcine eyes ex vivo and rabbit eyes in vivo were used.In porcine eyes,permeability rates of the anterior vitreous cortex(AVC)and anterior hyaloid membrane(AHM)were assessed using Schirmer’s strips.Permeability rates in the circumlental space were compared with or without TSCP bursts.Fluorescein diffusion times from the vitreous to the AC were compared between eyes with and without TSCP.In rabbit eyes,changes in IOP and AC angle structures under ultrasound biomicroscopy(UBM)were evaluated at intervals of 30min,7d,and 14d after TSCP.Vitreous pathology was examined using scanning electron microscopy(SEM)immediately and 14d after TSCP.RESULTS:In porcine eyes(n=20),the median(range)permeability rates were 10.3(range 9.8–10.8)mm/min for the AVC and 4.3(range 3.9–4.9)mm/min for the AHM(P=0.009).Permeability rates in the circumlental space were 4.2(range 3.8–4.9)mm/min in areas without TSCP,6.2(range 5.7–6.8)mm/min in areas with non-burst TSCP,and 11.3(range 10.9–11.8)mm/min in areas with burst TSCP(P=0.002).The median(range)fluorescein diffusion time was 5(range 3–8)min in eyes undergoing TSCP,whereas it was 40min(range 35–68)in eyes without TSCP(P<0.001).In rabbit eyes(n=20),SEM showed immediate localized damage to the AHM,AVC,and posterior lens zonules in areas subjected to TSCP bursts,and obvious lens zonule loss with cellular infiltration and possible vitreous liquefaction by post-op day 14.Persistent widening of AC angles was noted at postoperative days 7 and 14,although a significant reduction in IOP was only observed at postoperative day 7.CONCLUSION:TSCP-induced damage on the zonules,AHM,and AVC potentially enhances fluid outflow from the vitreous,leading to a widened AC angle and vitreous liquefaction in rabbits.These observations offer insights into mechanisms of TSCP in lowering IOP and pathogenic roles of vitreous in ACG.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
Digital pathology(DP)and its subsidiaries including artificial intelligence(AI)are rapidly making inroads into the area of diagnostic anatomic pathology(AP)including gastrointestinal(GI)pathology.It is poised to revol...Digital pathology(DP)and its subsidiaries including artificial intelligence(AI)are rapidly making inroads into the area of diagnostic anatomic pathology(AP)including gastrointestinal(GI)pathology.It is poised to revolutionize the field of diagnostic AP.Historically,AP has been slow to adopt digital technology,but this is changing rapidly,with many centers worldwide transitioning to DP.Coupled with advanced techniques of AI such as deep learning and machine learning,DP is likely to transform histopathology from a subjective field to an objective,efficient,and transparent discipline.AI is increasingly integrated into GI pathology,offering numerous advancements and improvements in overall diagnostic accuracy,efficiency,and patient care.Specifically,AI in GI pathology enhances diagnostic accuracy,streamlines workflows,provides predictive insights,integrates multimodal data,supports research,and aids in education and training,ultimately improving patient care and outcomes.This review summarized the latest developments in the role and scope of AI in AP with a focus on GI pathology.The main aim was to provide updates and create awareness among the pathology community.展开更多
Odontogenic keratocyst(OKC)is a common jaw cyst with a high recurrence rate.OKC combined with basal cell carcinoma as well as skeletal and other developmental abnormalities is thought to be associated with Gorlin synd...Odontogenic keratocyst(OKC)is a common jaw cyst with a high recurrence rate.OKC combined with basal cell carcinoma as well as skeletal and other developmental abnormalities is thought to be associated with Gorlin syndrome.Moreover,OKC needs to be differentiated from orthokeratinized odontogenic cyst and other jaw cysts.Because of the different prognosis,differential diagnosis of several cysts can contribute to clinical management.We collected 519 cases,comprising a total of 2157 hematoxylin and eosinstained images,to develop digital pathology-based artificial intelligence(AI)models for the diagnosis and prognosis of OKC.The Inception_v3 neural network was utilized to train and test models developed from patch-level images.Finally,whole slide imagelevel AI models were developed by integrating deep learning-generated pathology features with several machine learning algorithms.The AI models showed great performance in the diagnosis(AUC=0.935,95%CI:0.898–0.973)and prognosis(AUC=0.840,95%CI:0.751–0.930)of OKC.The advantages of multiple slides model for integrating of histopathological information are demonstrated through a comparison with the single slide model.Furthermore,the study investigates the correlation between AI features generated by deep learning and pathological findings,highlighting the interpretative potential of AI models in the pathology.Here,we have developed the robust diagnostic and prognostic models for OKC.The AI model that is based on digital pathology shows promise potential for applications in odontogenic diseases of the jaw.展开更多
Emerging evidence indicates that sleep deprivation(SD)can lead to Alzheimer’s disease(AD)-related pathological changes and cognitive decline.However,the underlying mechanisms remain obscure.In the present study,we id...Emerging evidence indicates that sleep deprivation(SD)can lead to Alzheimer’s disease(AD)-related pathological changes and cognitive decline.However,the underlying mechanisms remain obscure.In the present study,we identified the existence of a microbiota-gut-brain axis in cognitive deficits resulting from chronic SD and revealed a potential pathway by which gut microbiota affects cognitive functioning in chronic SD.Our findings demonstrated that chronic SD in mice not only led to cognitive decline but also induced gut microbiota dysbiosis,elevated NLRP3 inflammasome expression,GSK-3βactivation,autophagy dysfunction,and tau hyperphosphorylation in the hippocampus.Colonization with the“SD microbiota”replicated the pathological and behavioral abnormalities observed in chronic sleep-deprived mice.Remarkably,both the deletion of NLRP3 in NLRP3-/-mice and specific knockdown of NLRP3 in the hippocampus restored autophagic flux,suppressed tau hyperphosphorylation,and ameliorated cognitive deficits induced by chronic SD,while GSK-3βactivity was not regulated by the NLRP3 inflammasome in chronic SD.Notably,deletion of NLRP3 reversed NLRP3 inflammasome activation,autophagy deficits,and tau hyperphosphorylation induced by GSK-3βactivation in primary hippocampal neurons,suggesting that GSK-3β,as a regulator of NLRP3-mediated autophagy dysfunction,plays a significant role in promoting tau hyperphosphorylation.Thus,gut microbiota dysbiosis was identified as a contributor to chronic SD-induced tau pathology via NLRP3-mediated autophagy dysfunction,ultimately leading to cognitive deficits.Overall,these findings highlight GSK-3βas a regulator of NLRP3-mediated autophagy dysfunction,playing a critical role in promoting tau hyperphosphorylation.展开更多
Neurological manifestations of coronavirus disease 2019(COVID-19)are less noticeable than the respiratory symptoms,but they may be associated with disability and mortality in COVID-19.Even though Omicron caused less s...Neurological manifestations of coronavirus disease 2019(COVID-19)are less noticeable than the respiratory symptoms,but they may be associated with disability and mortality in COVID-19.Even though Omicron caused less severe disease than Delta,the incidence of neurological manifestations is similar.More than 30%of patients experienced“brain fog”,delirium,stroke,and cognitive impairment,and over half of these patients presented abnormal neuroimaging outcomes.In this review,we summarize current advances in the clinical findings of neurological manifestations in COVID-19 patients and compare them with those in patients with influenza infection.We also illustrate the structure and cellular invasion mechanisms of SARS-CoV-2 and describe the pathway for central SARS-CoV-2 invasion.In addition,we discuss direct damage and other pathological conditions caused by SARS-CoV-2,such as an aberrant interferon response,cytokine storm,lymphopenia,and hypercoagulation,to provide treatment ideas.This review may offer new insights into preventing or treating brain damage in COVID-19.展开更多
Clear cell renal cell carcinoma(ccRCC)represents the most frequent form of renal cell carcinoma(RCC),and accurate International Society of Urological Pathology(ISUP)grading is crucial for prognosis and treatment selec...Clear cell renal cell carcinoma(ccRCC)represents the most frequent form of renal cell carcinoma(RCC),and accurate International Society of Urological Pathology(ISUP)grading is crucial for prognosis and treatment selection.This study presents a new deep network called Multi-scale Fusion Network(MsfNet),which aims to enhance the automatic ISUP grade of ccRCC with digital histopathology pathology images.The MsfNet overcomes the limitations of traditional ResNet50 by multi-scale information fusion and dynamic allocation of channel quantity.The model was trained and tested using 90 Hematoxylin and Eosin(H&E)stained whole slide images(WSIs),which were all cropped into 320×320-pixel patches at 40×magnification.MsfNet achieved a micro-averaged area under the curve(AUC)of 0.9807,a macro-averaged AUC of 0.9778 on the test dataset.The Gradient-weighted Class Activation Mapping(Grad-CAM)visually demonstrated MsfNet’s ability to distinguish and highlight abnormal areas more effectively than ResNet50.The t-Distributed Stochastic Neighbor Embedding(t-SNE)plot indicates our model can efficiently extract critical features from images,reducing the impact of noise and redundant information.The results suggest that MsfNet offers an accurate ISUP grade of ccRCC in digital images,emphasizing the potential of AI-assisted histopathological systems in clinical practice.展开更多
BACKGROUND Autoimmune phenomena can be used in some patients with nonalcoholic fatty liver disease(NAFLD)in the clinic,but these patients are not autoimmune hepatitis patients.AIM To determine whether autoimmunity is ...BACKGROUND Autoimmune phenomena can be used in some patients with nonalcoholic fatty liver disease(NAFLD)in the clinic,but these patients are not autoimmune hepatitis patients.AIM To determine whether autoimmunity is present in patients with NAFLD,this study was performed.METHODS A total of 104 patients with NAFLD diagnosed by liver biopsy at Tianjin Second People’s Hospital between 2019 and 2023 were enrolled.The patients were divided into three groups according to their biopsy results:The NAFL(n=36),nonalcoholic steatohepatitis(n=51),and liver cirrhosis groups(n=17).RESULTS The differences in IgA,an immune marker,among the three groups of patients were statistically significant(P=0.025).In all NAFLD patients,antinuclear antibody and anti-smooth muscle antibody were the most common autoantibodies.The antinuclear antibody detection rate was the highest at 48.1%.The cirrhosis group had the highest autoantibody positivity rate(64.7%).Portal enlargement is also common in NAFLD patients.The rates of positivity for portal lymphoplasmacytic infiltration,small bile duct hyperplasia and interfacial hepatitis were highest in the cirrhosis group;the differences between the cirrhosis group and the other two groups were significant(P<0.05).Hepatocellular rosettes were identified only in the cirrhosis group(11.8%).CONCLUSION Autoimmune phenomena occur in NAFLD patients,especially in patients with NAFLD-related cirrhosis,in whom this phenomenon may be more pronounced.展开更多
This perspective focuses on the recent literature regarding the role of the gut-brain axis(GBA) in fecal microbiota transplantation(FMT) and stem cell therapy(SCT) in Parkinson's disease(PD).PD is the second most ...This perspective focuses on the recent literature regarding the role of the gut-brain axis(GBA) in fecal microbiota transplantation(FMT) and stem cell therapy(SCT) in Parkinson's disease(PD).PD is the second most common neurodegenerative disease in the United States,yet therapies remain limited.Current research suggests that the GBA may play a role in the pathogenesis of PD.GBAbased FMT as well as SCT offer promising new avenues for PD treatment.Pro bing the interactions between FMT and SCT with the GBA may reveal novel therapeutics for PD.展开更多
Introduction: Hysterectomy is a surgical procedure involving partial or total removal of the uterus. It is the most common gynaecological surgery in the world. Objective: To describe the epidemio-clinical and prognost...Introduction: Hysterectomy is a surgical procedure involving partial or total removal of the uterus. It is the most common gynaecological surgery in the world. Objective: To describe the epidemio-clinical and prognostic aspects of gynaecological hysterectomies. Patients and methods: This was an 18-month retrospective prospective descriptive study with a six-month follow-up period from 1 December 2020 to 31 May 2022 carried out in the gynaecology department of the Segou regional hospital. Results: Fifty-six (56) hysterectomies were performed out of 118 gynaecological surgical procedures (47.45%). The mean age was 47 ± 11.77 years. Large multiparous women were the most common (50%), with an average parity of 4.58. The main indications were uterine fibroids (30.4%), precancerous lesions of the cervix (17.85%) and uterine prolapse (17.85%). The abdominal route was the most commonly used surgical route (82.14%). Hysterectomy was total in 100% of cases and associated with bilateral adnexectomy in 48.2% of cases. The intra- and post-operative prognosis was satisfactory in 94.6% of cases. No deaths were recorded. The average length of stay was 3.28 days, irrespective of the surgical approach. Three cases of dyspareunia were noted among those who had resumed sexual activity.展开更多
Thoracic diseases pose significant risks to an individual's chest health and are among the most perilous medical diseases. They can impact either one or both lungs, which leads to a severe impairment of a person’...Thoracic diseases pose significant risks to an individual's chest health and are among the most perilous medical diseases. They can impact either one or both lungs, which leads to a severe impairment of a person’s ability to breathe normally. Some notable examples of such diseases encompass pneumonia, lung cancer, coronavirus disease 2019 (COVID-19), tuberculosis, and chronic obstructive pulmonary disease (COPD). Consequently, early and precise detection of these diseases is paramount during the diagnostic process. Traditionally, the primary methods employed for the detection involve the use of X-ray imaging or computed tomography (CT) scans. Nevertheless, due to the scarcity of proficient radiologists and the inherent similarities between these diseases, the accuracy of detection can be compromised, leading to imprecise or erroneous results. To address this challenge, scientists have turned to computer-based solutions, aiming for swift and accurate diagnoses. The primary objective of this study is to develop two machine learning models, utilizing single-task and multi-task learning frameworks, to enhance classification accuracy. Within the multi-task learning architecture, two principal approaches exist soft parameter sharing and hard parameter sharing. Consequently, this research adopts a multi-task deep learning approach that leverages CNNs to achieve improved classification performance for the specified tasks. These tasks, focusing on pneumonia and COVID-19, are processed and learned simultaneously within a multi-task model. To assess the effectiveness of the trained model, it is rigorously validated using three different real-world datasets for training and testing.展开更多
With the advent of the era of“Internet plus New Medical Science,”the teaching mode for pathology courses in colleges and universities faces unprecedented opportunities for transformation.In this context,a pathology ...With the advent of the era of“Internet plus New Medical Science,”the teaching mode for pathology courses in colleges and universities faces unprecedented opportunities for transformation.In this context,a pathology teaching model centered on theoretical explanations alone can no longer fully meet the demands of modern medical education.Therefore,it is essential to study and explore pathways for reforming pathology teaching in higher education within the framework of“Internet plus New Medical Science.”Research reveals a series of issues in current pathology teaching in universities,such as the uneven distribution of teaching resources,limited teaching methods,a disconnect between theory and practice,and incomplete evaluation systems.To address these challenges,universities should adopt a series of measures:optimizing resource allocation,innovating teaching methods and approaches,strengthening the integration of theory and practice,enhancing evaluation systems,and building robust teaching teams.These reforms aim to stimulate students’interest in learning and improve the effectiveness of pathology instruction.展开更多
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 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.
文摘A recent study by Luo et al examined the relationship between the pathological types of pancreatic cancer(PC)and their imaging characteristics.While this study presented an important step toward improving diagnostic accuracy for PC,we have several concerns regarding its generalizability,cohort selection,imaging variability,statistical methods,and potential confounding factors.We recommended that future research adopt multi-center,prospective designs to improve representation and minimize bias.Additionally,incorporating advanced imaging techniques such as radiomics and artificial intelligence and conducting more comprehensive statistical analyses would be valuable.By implementing these strategies,future studies can yield more reliable and externally validated findings that improve the clinical applicability of imaging-based differentiation of PC.Addressing these methodological issues could significantly advance the field of gastrointestinal oncology and improve patient management and outcomes.
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 Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2025R104),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.
文摘One in every eight men in the US is diagnosed with prostate cancer,making it the most common cancer in men.Gleason grading is one of the most essential diagnostic and prognostic factors for planning the treatment of prostate cancer patients.Traditionally,urological pathologists perform the grading by scoring the morphological pattern,known as the Gleason pattern,in histopathology images.However,thismanual grading is highly subjective,suffers intra-and inter-pathologist variability and lacks reproducibility.An automated grading system could be more efficient,with no subjectivity and higher accuracy and reproducibility.Automated methods presented previously failed to achieve sufficient accuracy,lacked reproducibility and depended on high-resolution images such as 40×.This paper proposes an automated Gleason grading method,ProGENET,to accurately predict the grade using low-resolution images such as 10×.This method first divides the patient’s histopathology whole slide image(WSI)into patches.Then,it detects artifacts and tissue-less regions and predicts the patch-wise grade using an ensemble network of CNN and transformer models.The proposed method adapted the International Society of Urological Pathology(ISUP)grading system and achieved 90.8%accuracy in classifying the patches into healthy and Gleason grades 1 through 5 using 10×WSI,outperforming the state-of-the-art accuracy by 27%.Finally,the patient’s grade was determined by combining the patch-wise results.The method was also demonstrated for 4−class grading and binary classification of prostate cancer,achieving 93.0%and 99.6%accuracy,respectively.The reproducibility was over 90%.Since the proposedmethod determined the grades with higher accuracy and reproducibility using low-resolution images,it is more reliable and effective than existing methods and can potentially improve subsequent therapy decisions.
文摘Dear Editor,We aimed to describe the management of the intraoperative injury of the right external iliac artery that occurred during robot-assisted right nephroureterectomy with bladder cuff excision.Surgery was scheduled for suspected urothelial carcinoma of the distal ureter in a 60-year-old woman.The patient involved in the present research signed a dedicated form to consent to the publication of images and/or information about her.Past medical history included Brugada syndrome diagnosed in 2015,and hypercholesterolemia.Past surgical history included one cesarean section only.Family history included ovarian cancer(sister),colorectal cancer(mother),and kidney cancer(father).
基金Supported by National Natural Science Foundation of China(No.82201171,No.82171050,No.82471072).
文摘AIM:To describe the alterations of the vitreous pathology and anterior chamber(AC)angle structures following transscleral cyclophotocoagulation(TSCP)and better understand the mechanism of post-laser intraocular pressure(IOP)reduction in angle-closure glaucoma(ACG).METHODS:Porcine eyes ex vivo and rabbit eyes in vivo were used.In porcine eyes,permeability rates of the anterior vitreous cortex(AVC)and anterior hyaloid membrane(AHM)were assessed using Schirmer’s strips.Permeability rates in the circumlental space were compared with or without TSCP bursts.Fluorescein diffusion times from the vitreous to the AC were compared between eyes with and without TSCP.In rabbit eyes,changes in IOP and AC angle structures under ultrasound biomicroscopy(UBM)were evaluated at intervals of 30min,7d,and 14d after TSCP.Vitreous pathology was examined using scanning electron microscopy(SEM)immediately and 14d after TSCP.RESULTS:In porcine eyes(n=20),the median(range)permeability rates were 10.3(range 9.8–10.8)mm/min for the AVC and 4.3(range 3.9–4.9)mm/min for the AHM(P=0.009).Permeability rates in the circumlental space were 4.2(range 3.8–4.9)mm/min in areas without TSCP,6.2(range 5.7–6.8)mm/min in areas with non-burst TSCP,and 11.3(range 10.9–11.8)mm/min in areas with burst TSCP(P=0.002).The median(range)fluorescein diffusion time was 5(range 3–8)min in eyes undergoing TSCP,whereas it was 40min(range 35–68)in eyes without TSCP(P<0.001).In rabbit eyes(n=20),SEM showed immediate localized damage to the AHM,AVC,and posterior lens zonules in areas subjected to TSCP bursts,and obvious lens zonule loss with cellular infiltration and possible vitreous liquefaction by post-op day 14.Persistent widening of AC angles was noted at postoperative days 7 and 14,although a significant reduction in IOP was only observed at postoperative day 7.CONCLUSION:TSCP-induced damage on the zonules,AHM,and AVC potentially enhances fluid outflow from the vitreous,leading to a widened AC angle and vitreous liquefaction in rabbits.These observations offer insights into mechanisms of TSCP in lowering IOP and pathogenic roles of vitreous in ACG.
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Digital pathology(DP)and its subsidiaries including artificial intelligence(AI)are rapidly making inroads into the area of diagnostic anatomic pathology(AP)including gastrointestinal(GI)pathology.It is poised to revolutionize the field of diagnostic AP.Historically,AP has been slow to adopt digital technology,but this is changing rapidly,with many centers worldwide transitioning to DP.Coupled with advanced techniques of AI such as deep learning and machine learning,DP is likely to transform histopathology from a subjective field to an objective,efficient,and transparent discipline.AI is increasingly integrated into GI pathology,offering numerous advancements and improvements in overall diagnostic accuracy,efficiency,and patient care.Specifically,AI in GI pathology enhances diagnostic accuracy,streamlines workflows,provides predictive insights,integrates multimodal data,supports research,and aids in education and training,ultimately improving patient care and outcomes.This review summarized the latest developments in the role and scope of AI in AP with a focus on GI pathology.The main aim was to provide updates and create awareness among the pathology community.
基金supported by the National Nature Science Foundation of China(81671006,81300894)CAMS Innovation Fund for Medical Sciences(2019-I2M-5-038)National Clinical Key Discipline Construction Project(PKUSSNKP202102).
文摘Odontogenic keratocyst(OKC)is a common jaw cyst with a high recurrence rate.OKC combined with basal cell carcinoma as well as skeletal and other developmental abnormalities is thought to be associated with Gorlin syndrome.Moreover,OKC needs to be differentiated from orthokeratinized odontogenic cyst and other jaw cysts.Because of the different prognosis,differential diagnosis of several cysts can contribute to clinical management.We collected 519 cases,comprising a total of 2157 hematoxylin and eosinstained images,to develop digital pathology-based artificial intelligence(AI)models for the diagnosis and prognosis of OKC.The Inception_v3 neural network was utilized to train and test models developed from patch-level images.Finally,whole slide imagelevel AI models were developed by integrating deep learning-generated pathology features with several machine learning algorithms.The AI models showed great performance in the diagnosis(AUC=0.935,95%CI:0.898–0.973)and prognosis(AUC=0.840,95%CI:0.751–0.930)of OKC.The advantages of multiple slides model for integrating of histopathological information are demonstrated through a comparison with the single slide model.Furthermore,the study investigates the correlation between AI features generated by deep learning and pathological findings,highlighting the interpretative potential of AI models in the pathology.Here,we have developed the robust diagnostic and prognostic models for OKC.The AI model that is based on digital pathology shows promise potential for applications in odontogenic diseases of the jaw.
基金National Natural Science Foundation of China(81870850)Postgraduate Research&Practice Innovation Program of Jiangsu Province(KYCX23_0322)。
文摘Emerging evidence indicates that sleep deprivation(SD)can lead to Alzheimer’s disease(AD)-related pathological changes and cognitive decline.However,the underlying mechanisms remain obscure.In the present study,we identified the existence of a microbiota-gut-brain axis in cognitive deficits resulting from chronic SD and revealed a potential pathway by which gut microbiota affects cognitive functioning in chronic SD.Our findings demonstrated that chronic SD in mice not only led to cognitive decline but also induced gut microbiota dysbiosis,elevated NLRP3 inflammasome expression,GSK-3βactivation,autophagy dysfunction,and tau hyperphosphorylation in the hippocampus.Colonization with the“SD microbiota”replicated the pathological and behavioral abnormalities observed in chronic sleep-deprived mice.Remarkably,both the deletion of NLRP3 in NLRP3-/-mice and specific knockdown of NLRP3 in the hippocampus restored autophagic flux,suppressed tau hyperphosphorylation,and ameliorated cognitive deficits induced by chronic SD,while GSK-3βactivity was not regulated by the NLRP3 inflammasome in chronic SD.Notably,deletion of NLRP3 reversed NLRP3 inflammasome activation,autophagy deficits,and tau hyperphosphorylation induced by GSK-3βactivation in primary hippocampal neurons,suggesting that GSK-3β,as a regulator of NLRP3-mediated autophagy dysfunction,plays a significant role in promoting tau hyperphosphorylation.Thus,gut microbiota dysbiosis was identified as a contributor to chronic SD-induced tau pathology via NLRP3-mediated autophagy dysfunction,ultimately leading to cognitive deficits.Overall,these findings highlight GSK-3βas a regulator of NLRP3-mediated autophagy dysfunction,playing a critical role in promoting tau hyperphosphorylation.
基金supported by the National Natural Science Foundation of China(82174005)The Natural Science Foundation of Zhejiang Province(LY22H280007 and LEZ20H190001).
文摘Neurological manifestations of coronavirus disease 2019(COVID-19)are less noticeable than the respiratory symptoms,but they may be associated with disability and mortality in COVID-19.Even though Omicron caused less severe disease than Delta,the incidence of neurological manifestations is similar.More than 30%of patients experienced“brain fog”,delirium,stroke,and cognitive impairment,and over half of these patients presented abnormal neuroimaging outcomes.In this review,we summarize current advances in the clinical findings of neurological manifestations in COVID-19 patients and compare them with those in patients with influenza infection.We also illustrate the structure and cellular invasion mechanisms of SARS-CoV-2 and describe the pathway for central SARS-CoV-2 invasion.In addition,we discuss direct damage and other pathological conditions caused by SARS-CoV-2,such as an aberrant interferon response,cytokine storm,lymphopenia,and hypercoagulation,to provide treatment ideas.This review may offer new insights into preventing or treating brain damage in COVID-19.
基金supported by the Scientific Research and Innovation Team of Hebei University(IT2023B07)the Natural Science Foundation of Hebei Province(F2023201069)the Postgraduate’s Innovation Fund Project of Hebei University(HBU2024BS021).
文摘Clear cell renal cell carcinoma(ccRCC)represents the most frequent form of renal cell carcinoma(RCC),and accurate International Society of Urological Pathology(ISUP)grading is crucial for prognosis and treatment selection.This study presents a new deep network called Multi-scale Fusion Network(MsfNet),which aims to enhance the automatic ISUP grade of ccRCC with digital histopathology pathology images.The MsfNet overcomes the limitations of traditional ResNet50 by multi-scale information fusion and dynamic allocation of channel quantity.The model was trained and tested using 90 Hematoxylin and Eosin(H&E)stained whole slide images(WSIs),which were all cropped into 320×320-pixel patches at 40×magnification.MsfNet achieved a micro-averaged area under the curve(AUC)of 0.9807,a macro-averaged AUC of 0.9778 on the test dataset.The Gradient-weighted Class Activation Mapping(Grad-CAM)visually demonstrated MsfNet’s ability to distinguish and highlight abnormal areas more effectively than ResNet50.The t-Distributed Stochastic Neighbor Embedding(t-SNE)plot indicates our model can efficiently extract critical features from images,reducing the impact of noise and redundant information.The results suggest that MsfNet offers an accurate ISUP grade of ccRCC in digital images,emphasizing the potential of AI-assisted histopathological systems in clinical practice.
文摘BACKGROUND Autoimmune phenomena can be used in some patients with nonalcoholic fatty liver disease(NAFLD)in the clinic,but these patients are not autoimmune hepatitis patients.AIM To determine whether autoimmunity is present in patients with NAFLD,this study was performed.METHODS A total of 104 patients with NAFLD diagnosed by liver biopsy at Tianjin Second People’s Hospital between 2019 and 2023 were enrolled.The patients were divided into three groups according to their biopsy results:The NAFL(n=36),nonalcoholic steatohepatitis(n=51),and liver cirrhosis groups(n=17).RESULTS The differences in IgA,an immune marker,among the three groups of patients were statistically significant(P=0.025).In all NAFLD patients,antinuclear antibody and anti-smooth muscle antibody were the most common autoantibodies.The antinuclear antibody detection rate was the highest at 48.1%.The cirrhosis group had the highest autoantibody positivity rate(64.7%).Portal enlargement is also common in NAFLD patients.The rates of positivity for portal lymphoplasmacytic infiltration,small bile duct hyperplasia and interfacial hepatitis were highest in the cirrhosis group;the differences between the cirrhosis group and the other two groups were significant(P<0.05).Hepatocellular rosettes were identified only in the cirrhosis group(11.8%).CONCLUSION Autoimmune phenomena occur in NAFLD patients,especially in patients with NAFLD-related cirrhosis,in whom this phenomenon may be more pronounced.
文摘This perspective focuses on the recent literature regarding the role of the gut-brain axis(GBA) in fecal microbiota transplantation(FMT) and stem cell therapy(SCT) in Parkinson's disease(PD).PD is the second most common neurodegenerative disease in the United States,yet therapies remain limited.Current research suggests that the GBA may play a role in the pathogenesis of PD.GBAbased FMT as well as SCT offer promising new avenues for PD treatment.Pro bing the interactions between FMT and SCT with the GBA may reveal novel therapeutics for PD.
文摘Introduction: Hysterectomy is a surgical procedure involving partial or total removal of the uterus. It is the most common gynaecological surgery in the world. Objective: To describe the epidemio-clinical and prognostic aspects of gynaecological hysterectomies. Patients and methods: This was an 18-month retrospective prospective descriptive study with a six-month follow-up period from 1 December 2020 to 31 May 2022 carried out in the gynaecology department of the Segou regional hospital. Results: Fifty-six (56) hysterectomies were performed out of 118 gynaecological surgical procedures (47.45%). The mean age was 47 ± 11.77 years. Large multiparous women were the most common (50%), with an average parity of 4.58. The main indications were uterine fibroids (30.4%), precancerous lesions of the cervix (17.85%) and uterine prolapse (17.85%). The abdominal route was the most commonly used surgical route (82.14%). Hysterectomy was total in 100% of cases and associated with bilateral adnexectomy in 48.2% of cases. The intra- and post-operative prognosis was satisfactory in 94.6% of cases. No deaths were recorded. The average length of stay was 3.28 days, irrespective of the surgical approach. Three cases of dyspareunia were noted among those who had resumed sexual activity.
文摘Thoracic diseases pose significant risks to an individual's chest health and are among the most perilous medical diseases. They can impact either one or both lungs, which leads to a severe impairment of a person’s ability to breathe normally. Some notable examples of such diseases encompass pneumonia, lung cancer, coronavirus disease 2019 (COVID-19), tuberculosis, and chronic obstructive pulmonary disease (COPD). Consequently, early and precise detection of these diseases is paramount during the diagnostic process. Traditionally, the primary methods employed for the detection involve the use of X-ray imaging or computed tomography (CT) scans. Nevertheless, due to the scarcity of proficient radiologists and the inherent similarities between these diseases, the accuracy of detection can be compromised, leading to imprecise or erroneous results. To address this challenge, scientists have turned to computer-based solutions, aiming for swift and accurate diagnoses. The primary objective of this study is to develop two machine learning models, utilizing single-task and multi-task learning frameworks, to enhance classification accuracy. Within the multi-task learning architecture, two principal approaches exist soft parameter sharing and hard parameter sharing. Consequently, this research adopts a multi-task deep learning approach that leverages CNNs to achieve improved classification performance for the specified tasks. These tasks, focusing on pneumonia and COVID-19, are processed and learned simultaneously within a multi-task model. To assess the effectiveness of the trained model, it is rigorously validated using three different real-world datasets for training and testing.
文摘With the advent of the era of“Internet plus New Medical Science,”the teaching mode for pathology courses in colleges and universities faces unprecedented opportunities for transformation.In this context,a pathology teaching model centered on theoretical explanations alone can no longer fully meet the demands of modern medical education.Therefore,it is essential to study and explore pathways for reforming pathology teaching in higher education within the framework of“Internet plus New Medical Science.”Research reveals a series of issues in current pathology teaching in universities,such as the uneven distribution of teaching resources,limited teaching methods,a disconnect between theory and practice,and incomplete evaluation systems.To address these challenges,universities should adopt a series of measures:optimizing resource allocation,innovating teaching methods and approaches,strengthening the integration of theory and practice,enhancing evaluation systems,and building robust teaching teams.These reforms aim to stimulate students’interest in learning and improve the effectiveness of pathology instruction.
