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A review of testicular histopathology in nonobstructive azoospermia 被引量:1
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作者 Taymour Mostafa Kadir Bocu Vineet Malhotra 《Asian Journal of Andrology》 2025年第3期370-374,共5页
One major challenge in male factor infertility is nonobstructive azoospermia(NOA),which is characterized by spermatozoa-deficient semen without physical duct blockage.This review offers a thorough overview of the hist... One major challenge in male factor infertility is nonobstructive azoospermia(NOA),which is characterized by spermatozoa-deficient semen without physical duct blockage.This review offers a thorough overview of the histopathology of the testes in NOA cases,clarifying its complex etiology and emphasizing the possible value of histopathology inspection for both diagnosis and treatment.Variable histopathological findings have been linked to NOA,such as tubular hyalinization,Sertoli cell-only syndrome,hypospermatogenesis,and germ cell arrest.Understanding the pathophysiology and forecasting the effectiveness of treatment are further enhanced by both morphometric and ultrastructural analyses.The potential significance of testicular biopsy in forecasting reproductive outcomes is assessed,especially concerning assisted reproductive technologies like intracytoplasmic sperm injection(ICSI).Besides,testicular microlithiasis,serum hormone profiles,and testicular size are investigated concerning NOA histopathology.It is concluded that understanding the histopathological patterns in NOA is crucial for its accurate diagnosis and appropriate management.Further research is still warranted to improve understanding of the complex pathophysiology underlying NOA. 展开更多
关键词 AZOOSPERMIA histopathology male infertility nonobstructive azoospermia SEMEN
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Adaptable deep learning for holographic microscopy:a case study on tissue type and system variability in label-free histopathology
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作者 Jiseong Barg Chanseok Lee +1 位作者 Chunghyeong Lee Mooseok Jang 《Advanced Photonics Nexus》 2025年第2期39-53,共15页
Holographic microscopy has emerged as a vital tool in biomedicine,enabling visualization of microscopic morphological features of tissues and cells in a label-free manner.Recently,deep learning(DL)-based image reconst... Holographic microscopy has emerged as a vital tool in biomedicine,enabling visualization of microscopic morphological features of tissues and cells in a label-free manner.Recently,deep learning(DL)-based image reconstruction models have demonstrated state-of-the-art performance in holographic image reconstruction.However,their utility in practice is still severely limited,as conventional training schemes could not properly handle out-of-distribution data.Here,we leverage backpropagation operation and reparameterization of the forward propagator to enable an adaptable image reconstruction model for histopathologic inspection.Only given with a training dataset of rectum tissue images captured from a single imaging configuration,our scheme consistently shows high reconstruction performance even with the input hologram of diverse tissue types at different pathological states captured under various imaging configurations.Using the proposed adaptation technique,we show that the diagnostic features of cancerous colorectal tissues,such as dirty necrosis,captured with 5×magnification and a numerical aperture(NA)of 0.1,can be reconstructed with high accuracy,whereas a given training dataset is strictly confined to normal rectum tissues acquired under the imaging configuration of 20×magnification and an NA of 0.4.Our results suggest that the DL-based image reconstruction approaches,with sophisticated adaptation techniques,could offer an extensively generalizable solution for inverse mapping problems in imaging. 展开更多
关键词 holographic microscopy deep learning histopathology ADAPTABILITY GENERALIZATION phase imaging
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Histopathology of the Gills and Livers on African Catfish(Clarias gariepinus)Juvenile Exposed to Pentachlor
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作者 Josephine Nkechinyere Madu Chioma Nwakanma Alexander Nnamdi Madu 《Journal of Agricultural Science and Technology(A)》 2025年第1期25-30,共6页
The histopathological effect of pentachlor,an organochlorine pesticide,on the gill and liver tissues of the African catfish(Clarias gariepinus)juvenile was carried out to investigate the toxicity of pentachlor when ad... The histopathological effect of pentachlor,an organochlorine pesticide,on the gill and liver tissues of the African catfish(Clarias gariepinus)juvenile was carried out to investigate the toxicity of pentachlor when administered on the test sample within concentrations of 0.073 mg/L,0.036 mg/L,0.024 mg/L and 0.018 mg/L and a control in those replicates was used.The fish were acclimatized for 7 days under laboratory conditions before exposure.Sixteen(16)troughs,each of seven(7)juvenile samples of length 2.3 cm and average weight of 10-15 g,were used for the study.Twelve(12)troughs exposed to varying concentrations of pentachlor were used as treatment samples while four(4)troughs served as control.The juveniles were exposed to sub-lethal concentrations for 21 days with a break at every 48 h.The gills and livers were collected for histological examination.Histological data revealed that at 0.1 m/L pentachlor concentration,the gills showed epithelial hyperplasia with heamorrhage in the central venous of the cartilaginous core with the lifting of the epithelia and hypertrophy at 0.2 mg/L.At 0.3 mg/L exposure,epithelia hyperplasia,dilation of the secondary lamellae occurred and severe deformation of the secondary gill lamellae at 0.4 mg/L.However,the control presented normal mucous and epithelial cells with normal secondary and primary gill lamellae.The liver sample treated with 0.1 mg/L showed complete vascular degeneration.Control sample revealed normal blood vessels,sinusoid vessels and hypatocystes.This showed that pentachlor can accumulate in the liver and potentially cause damage to tissue over time. 展开更多
关键词 Pentachlor Clarius gariepinus histopathology SUB-LETHAL ORGANOCHLORINE
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An Advanced Medical Diagnosis of Breast Cancer Histopathology Using Convolutional Neural Networks
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作者 Ahmed Ben Atitallah Jannet Kamoun +3 位作者 Meshari D.Alanazi Turki M.Alanazi Mohammed Albekairi Khaled Kaaniche 《Computers, Materials & Continua》 2025年第6期5761-5779,共19页
Breast Cancer(BC)remains a leadingmalignancy among women,resulting in highmortality rates.Early and accurate detection is crucial for improving patient outcomes.Traditional diagnostic tools,while effective,have limita... Breast Cancer(BC)remains a leadingmalignancy among women,resulting in highmortality rates.Early and accurate detection is crucial for improving patient outcomes.Traditional diagnostic tools,while effective,have limitations that reduce their accessibility and accuracy.This study investigates the use ofConvolutionalNeuralNetworks(CNNs)to enhance the diagnostic process of BC histopathology.Utilizing the BreakHis dataset,which contains thousands of histopathological images,we developed a CNN model designed to improve the speed and accuracy of image analysis.Our CNN architecture was designed with multiple convolutional layers,max-pooling layers,and a fully connected network optimized for feature extraction and classification.Hyperparameter tuning was conducted to identify the optimal learning rate,batch size,and number of epochs,ensuring robust model performance.The dataset was divided into training(80%),validation(10%),and testing(10%)subsets,with performance evaluated using accuracy,precision,recall,and F1-score metrics.Our CNN model achieved a magnification-independent accuracy of 97.72%,with specific accuracies of 97.50%at 40×,97.61%at 100×,99.06%at 200×,and 97.25%at 400×magnification levels.These results demonstrate the model’s superior performance relative to existing methods.The integration of CNNs in diagnostic workflows can potentially reduce pathologist workload,minimize interpretation errors,and increase the availability of diagnostic testing,thereby improving BC management and patient survival rates.This study highlights the effectiveness of deep learning in automating BC histopathological classification and underscores the potential for AI-driven diagnostic solutions to improve patient care. 展开更多
关键词 histopathology breast cancer convolutional neural networks BreakHis dataset medical imaging healthcare technology
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Novel Feature Extractor Framework in Conjunction with Supervised Three Class-XGBoost Algorithm for Osteosarcoma Detection from Whole Slide Medical Histopathology Images
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作者 Tanzila Saba Muhammad Mujahid +2 位作者 Shaha Al-Otaibi Noor Ayesha Amjad Rehman Khan 《Computers, Materials & Continua》 2025年第2期3337-3353,共17页
Osteosarcomas are malignant neoplasms derived from undifferentiated osteogenic mesenchymal cells. It causes severe and permanent damage to human tissue and has a high mortality rate. The condition has the capacity to ... Osteosarcomas are malignant neoplasms derived from undifferentiated osteogenic mesenchymal cells. It causes severe and permanent damage to human tissue and has a high mortality rate. The condition has the capacity to occur in any bone;however, it often impacts long bones like the arms and legs. Prompt identification and prompt intervention are essential for augmenting patient longevity. However, the intricate composition and erratic placement of osteosarcoma provide difficulties for clinicians in accurately determining the scope of the afflicted area. There is a pressing requirement for developing an algorithm that can automatically detect bone tumors with tremendous accuracy. Therefore, in this study, we proposed a novel feature extractor framework associated with a supervised three-class XGBoost algorithm for the detection of osteosarcoma in whole slide histopathology images. This method allows for quicker and more effective data analysis. The first step involves preprocessing the imbalanced histopathology dataset, followed by augmentation and balancing utilizing two techniques: SMOTE and ADASYN. Next, a unique feature extraction framework is used to extract features, which are then inputted into the supervised three-class XGBoost algorithm for classification into three categories: non-tumor, viable tumor, and non-viable tumor. The experimental findings indicate that the proposed model exhibits superior efficiency, accuracy, and a more lightweight design in comparison to other current models for osteosarcoma detection. 展开更多
关键词 Medical image processing deep learning healthcare image classification histopathology
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WaveSeg-UNet model for overlapped nuclei segmentation from multi-organ histopathology images
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作者 Hameed Ullah Khan Basit Raza +1 位作者 Muhammad Asad Iqbal Khan Muhammad Faheem 《CAAI Transactions on Intelligence Technology》 2025年第1期253-267,共15页
Nuclei segmentation is a challenging task in histopathology images.It is challenging due to the small size of objects,low contrast,touching boundaries,and complex structure of nuclei.Their segmentation and counting pl... Nuclei segmentation is a challenging task in histopathology images.It is challenging due to the small size of objects,low contrast,touching boundaries,and complex structure of nuclei.Their segmentation and counting play an important role in cancer identification and its grading.In this study,WaveSeg-UNet,a lightweight model,is introduced to segment cancerous nuclei having touching boundaries.Residual blocks are used for feature extraction.Only one feature extractor block is used in each level of the encoder and decoder.Normally,images degrade quality and lose important information during down-sampling.To overcome this loss,discrete wavelet transform(DWT)alongside maxpooling is used in the down-sampling process.Inverse DWT is used to regenerate original images during up-sampling.In the bottleneck of the proposed model,atrous spatial channel pyramid pooling(ASCPP)is used to extract effective high-level features.The ASCPP is the modified pyramid pooling having atrous layers to increase the area of the receptive field.Spatial and channel-based attention are used to focus on the location and class of the identified objects.Finally,watershed transform is used as a post processing technique to identify and refine touching boundaries of nuclei.Nuclei are identified and counted to facilitate pathologists.The same domain of transfer learning is used to retrain the model for domain adaptability.Results of the proposed model are compared with state-of-the-art models,and it outperformed the existing studies. 展开更多
关键词 deep learning histopathology images machine learning nuclei segmentation U-Net
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Integrating Transformer and Bidirectional Long Short-Term Memory for Intelligent Breast Cancer Detection from Histopathology Biopsy Images
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作者 Prasanalakshmi Balaji Omar Alqahtani +2 位作者 Sangita Babu Mousmi Ajay Chaurasia Shanmugapriya Prakasam 《Computer Modeling in Engineering & Sciences》 SCIE EI 2024年第10期443-458,共16页
Breast cancer is a significant threat to the global population,affecting not only women but also a threat to the entire population.With recent advancements in digital pathology,Eosin and hematoxylin images provide enh... Breast cancer is a significant threat to the global population,affecting not only women but also a threat to the entire population.With recent advancements in digital pathology,Eosin and hematoxylin images provide enhanced clarity in examiningmicroscopic features of breast tissues based on their staining properties.Early cancer detection facilitates the quickening of the therapeutic process,thereby increasing survival rates.The analysis made by medical professionals,especially pathologists,is time-consuming and challenging,and there arises a need for automated breast cancer detection systems.The upcoming artificial intelligence platforms,especially deep learning models,play an important role in image diagnosis and prediction.Initially,the histopathology biopsy images are taken from standard data sources.Further,the gathered images are given as input to the Multi-Scale Dilated Vision Transformer,where the essential features are acquired.Subsequently,the features are subjected to the Bidirectional Long Short-Term Memory(Bi-LSTM)for classifying the breast cancer disorder.The efficacy of the model is evaluated using divergent metrics.When compared with other methods,the proposed work reveals that it offers impressive results for detection. 展开更多
关键词 Bidirectional long short-term memory breast cancer detection feature extraction histopathology biopsy images multi-scale dilated vision transformer
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Epidemiology and Histopathology of Cancers of the Upper Aerodigestive Tract in the ENT and Head and Neck Surgery Department of the Ignace Deen National Hospital
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作者 Mamadou Mouctar Ramata Diallo Oumou Amadou Diallo +3 位作者 Raphan Madi Kaba Keita Ousmane Barry Abdoulaye Keita Alpha Oumar Diallo 《International Journal of Otolaryngology and Head & Neck Surgery》 2024年第4期259-274,共16页
Introduction: Head and neck cancers represent a significant burden of cancer, collectively ranking fourth for cancer incidence and second for cancer mortality worldwide. Objective: To study the epidemiological and his... Introduction: Head and neck cancers represent a significant burden of cancer, collectively ranking fourth for cancer incidence and second for cancer mortality worldwide. Objective: To study the epidemiological and histopathological aspects of head and neck cancers in the ENT-CCF department of Ignace Deen National Hospital. Materials and Methods: This was a descriptive retrospective study covering a period of 5 years from September 1, 2016, to September 30, 2021. Results: We collected 43 cases of head and neck cancers, representing a hospital frequency of 1.85%. The mean age was 45.21 ± 13.23 years. Males predominated, accounting for 65.12%, compared to 34.88% for females, with a male-to-female ratio of 1.87. Housewives accounted for 27.90%, followed by farmers at 23.26% and traders/merchants at 18.60%, with 41.86% being uneducated. The main risk factors were tobacco (37.21%) and alcohol (34.88%). Pain (53.49%), dysphonia (51.16%), and dyspnea (39.53%) were the main presenting symptoms. Squamous cell carcinoma (74.42%) and large cell lymphoma (18.60%) were the most commonly cited histological types. Conclusion: Head and neck cancers remain relatively common in our country. Improving prognosis depends on early diagnosis of the condition, resuscitation resources, and prompt management. 展开更多
关键词 Cancer Head and Neck histopathology Ignace Deen National Hospital
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Relationship Between Histopathology and Clinical Prognosis of Invasive Pituitary Adenoma 被引量:2
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作者 李勇 舒凯 +3 位作者 董芳永 万锋 雷霆 李龄 《The Chinese-German Journal of Clinical Oncology》 CAS 2005年第3期179-182,190-191,共6页
Objective: To study the relationship between histopathology and clinical prognosis of invasive pituitary adenoma subjected to transsphenoidal surgery. Methods: The enrolled were 82 patients with invasive pituitary ade... Objective: To study the relationship between histopathology and clinical prognosis of invasive pituitary adenoma subjected to transsphenoidal surgery. Methods: The enrolled were 82 patients with invasive pituitary adenomas undergoing transsphenoidal surgery during Jan. 2000 - May 2003 in our department with full MR imaging findings, pathology data and follow-up information. The follow-up duration was 5-30 months. Results: MR imaging findings of invasive pituitary adenoma included: depression of the sellar floor, involvement of sphenoid sinus and cavernous sinus, breakthrough of diaphragma sellae, encasement of internal carotid artery, etc. Pathological examination revealed that the invasion rate of dura in sella turcica was the highest among the structures around tumor. Pituitary adenoma apoplexy was found in 20 cases (24.4%). The total removal rate for PRL-secreting adenomas was significantly lower than that for non-secreting adenomas (P<0.01), but non-, GH-, ACTH-secreting adenomas had no significant differences. The recurrence rate of PRL-secreting adenomas was higher than that of non- and GH-secreting adenomas (P<0.05). Conclusion: Among invasive pituitary adenomas, the therapeutic effects of non-and GH-secreting pituitary adenomas are better than that of PRL-secreting adenomas. Invasive biological behaviors of invasive pituitary adenomas result in radical operation failure and postoperative recurrence. 展开更多
关键词 pituitary adenoma INVASION transsphenoidal surgery MRI histopathology
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Changing role of histopathology in the diagnosis and management of hepatocellular carcinoma 被引量:21
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作者 Archana Rastogi 《World Journal of Gastroenterology》 SCIE CAS 2018年第35期4000-4013,共14页
Hepatocellular carcinoma (HCC) is one of the most common and fatal cancer in the world. HCC frequently presents with advanced disease, has a high recurrence rate and limited treatment options, which leads to very poor... Hepatocellular carcinoma (HCC) is one of the most common and fatal cancer in the world. HCC frequently presents with advanced disease, has a high recurrence rate and limited treatment options, which leads to very poor prognosis. This warrants urgent improvement in the diagnosis and treatment. Liver biopsy plays very important role in the diagnosis and prognosis of HCC, but with technical advancements and progression in the field of imaging, clinical guidelines have restricted the role of biopsy to very limited situations. Biopsy also has its own problems of needle tract seeding of tumor, small risk of complications, technical and sampling errors along with interpretative errors. Despite this, tissue analysis is often required because imaging is not always specific, limited expertise and lack of advanced imaging in many centers and limitations of imaging in the diagnosis of small, mixed and other variant forms of HCC. In addition, biopsy confirmation is often required for clinical trials of new drugs and targeted therapies. Tissue biomarkers along with certain morphological features, phenotypes and immune-phenotypes that serve as important prognostic and outcome predictors and as decisive factors for therapy decisions, add to the continuing role of histopathology. Advancements in cancer biology and development of molecular classification of HCC with clinic pathological correlation, lead to discovery of HCC phenotypic surrogates of prognostic and therapeutically significant molecular signatures. Thus tissue characteristics and morphology based correlates of molecular subtypes provide invaluable information for management and prognosis. This review thus focuses on the importance of histopathology and resurgence of role of biopsy in the diagnosis, management and prognostication of HCC. 展开更多
关键词 HEPATOCELLULAR carcinoma BIOMARKER BIOPSY histopathology IMMUNOHISTOCHEMISTRY TARGETED therapy Molecular Diagnosis Prognosis
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Time-effect relationship of acupuncture on histopathology, ultrastructure, and neuroethology in the acute phase of cerebral hemorrhage 被引量:28
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作者 Zuo-Wei Li Xiao-Nan Zheng Ping Li 《Neural Regeneration Research》 SCIE CAS CSCD 2019年第1期107-113,共7页
Many clinical studies have addressed the treatment of acute cerebral hemorrhage using acupuncture. However, few studies have examined the relationship between time of acupuncture and curative effect on cerebral hemorr... Many clinical studies have addressed the treatment of acute cerebral hemorrhage using acupuncture. However, few studies have examined the relationship between time of acupuncture and curative effect on cerebral hemorrhage. By observing the effect of acupuncture on changes in histopathology, ultrastructure, and neuroethology in a cerebral hemorrhage model of rats, we have directly examined the time-effect relationship of acupuncture. The rat model of cerebral hemorrhage was produced by slowly injecting autologous blood to the right caudate nucleus. The experimental groups were: 3-, 9-, 24-, and 48-hour model groups; and 3-, 9-, 24-, and 48-hour acupuncture groups. The sham-operation group was used for comparison. Acupuncture was performed at the Neiguan(PC6) and Renzhong(DU26) acupoints, twice a day, 6 hours apart, for 5 consecutive days. Brain tissue changes were observed by light microscopy and transmission electron microscopy. Neuroethology was assessed using Bederson and Longa scores. Our results show that compared with the sham-operation and model groups, Bederson and Longa scores were lower in each acupuncture group, with visibly improved histopathology and brain tissue ultrastructure. Further, the results were better in the 3-and 9-hour acupuncture groups than the 24-and 48-hour acupuncture groups. Our findings show that acupuncture treatment can relieve pathological and ultrastructural deterioration and neurological impairment caused by the acute phase of cerebral hemorrhage, and may protect brain tissue during this period. In addition, earlier acupuncture intervention following cerebral hemorrhage(by 3 or 9 hours) is associated with a better treatment outcome. 展开更多
关键词 nerve regeneration ACUPUNCTURE acute phase cerebral hemorrhage time-effect ULTRASTRUCTURE FUNCTION histopathology NEUROETHOLOGY brain injury neural regeneration
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Histopathology and TB-PCR kit analysis in differentiating the diagnosis of intestinal tuberculosis and Crohn’s disease 被引量:21
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作者 Joon Mee Kim Hyung Kil Kim +6 位作者 Lucia Kim Suk Jin Choi In Suh Park Jee Young Han Young Chae Chu Kye Sook Kwon Eun Joo Kim 《World Journal of Gastroenterology》 SCIE CAS CSCD 2010年第20期2496-2503,共8页
AIM: To compare the histopathologic features of intestinal tuberculosis (ITB) and Crohn’s disease (CD) and to identify whether polymerase chain reaction for Mycobacterium tuberculosis (TB-PCR) would be helpful for di... AIM: To compare the histopathologic features of intestinal tuberculosis (ITB) and Crohn’s disease (CD) and to identify whether polymerase chain reaction for Mycobacterium tuberculosis (TB-PCR) would be helpful for differential diagnosis between ITB and CD.METHODS: We selected 97 patients with established diagnoses (55 cases of ITB and 42 cases of CD) who underwent colonoscopic biopsies.Microscopic features of ITB and CD were reviewed,and eight pathologic parameters were evaluated.Nine cases of acid fast bacilli culture-positive specimens and 10 normal colonic tissue specimens were evaluated as the positive and negative control of the TB-PCR test,respectively.PCR assays were done using two commercial kits: kit <A> detected IS6110 and MPB64,and kit <B> detected IS6110 only;a manual in-house PCR method was also performed on formalin-fi xed,paraffi n-embedded colonoscopic biopsy specimens.RESULTS: Statistically significant differences were noted between ITB and CD with regard histopathologic criteria: size of granulomas (P = 0.000),giant cells (P = 0.015),caseation necrosis (P = 0.003),confluent granulomas (P = 0.001),discrete granulomas (P = 0.000),and granulomas with lymphoid cuffs (P = 0.037).However,29 cases (52.7%) of ITB showed less than fi ve kinds of pathologic parameters,resulting in confusion with CD.The sensitivities and specificities of the TB-PCR test by kit <A>,kit <B>,and the in-house PCR method were 88.9% and 100%,88.9% and 100%,and 66.7% and 100% in positive and negative controls,respectively.The PCR test done on endoscopic biopsy specimens of ITB and CD were signifi cantly different with kit <A> (P = 0.000) and kit <B> (P = 0.000).The sensitivities and specifi cities of TB-PCR were 45.5% and 88.1%,36.4% and 100%,and 5.8% and 100%,for kit <A> and kit <B> and inhouse PCR method on endoscopic biopsy specimens.Among the 29 cases of histopathologically confusing CD,10 cases assayed using kit <A> and 6 cases assayed using kit <B> were TB-PCR positive.A combination of histologic fi ndings and TB-PCR testing led to an increase of diagnostic sensitivity and the increase (from 47.3% to 58.2) was statistically signifi cant with kit <B> (P = 0.000).CONCLUSION: The TB-PCR test combined with histopathologic factors appears to be a helpful technique in formulating the differential diagnosis of ITB and CD in endoscopic biopsy samples. 展开更多
关键词 Intestine Tuberculosis Crohn’s disease histopathology Polymerase chain reaction KIT IS6110 MPB64
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Histopathology of nonalcoholic fatty liver disease/nonalcoholic steatohepatitis 被引量:22
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作者 Yoshihisa Takahashi Toshio Fukusato 《World Journal of Gastroenterology》 SCIE CAS 2014年第42期15539-15548,共10页
Nonalcoholic fatty liver disease(NAFLD), a hepatic manifestation of metabolic syndrome, is the most common chronic liver disease, and the prevalence is rapidly increasing worldwide. Nonalcoholic steatohepatitis(NASH),... Nonalcoholic fatty liver disease(NAFLD), a hepatic manifestation of metabolic syndrome, is the most common chronic liver disease, and the prevalence is rapidly increasing worldwide. Nonalcoholic steatohepatitis(NASH), the severe form of NAFLD, can progress to liver cirrhosis and hepatocellular carcinoma(HCC). Although noninvasive clinical scores and image-based diagnosis for NAFLD have improved, histopathological evaluation of biopsy specimens remains the gold standard for diagnosing NAFLD/NASH. Steatosis, lobular inflammation, and hepatocellular ballooning are all necessary components for the diagnosis of NASH; fibrosis is also typically observed. Other histopathological abnormalities commonly observed in NASH include hepatocellular glycogenated nuclei, lipogranulomas, and acidophil bodies. The characteristics of pediatric NAFLD/NASH differ from adult NAFLD/NASH. Specifically, steatosis and portal inflammation are more severe in pediatric NAFLD, while intralobular inflammation and perisinusoidal fibrosis are milder. Although interobserver agreement for evaluating the extent of steatosis and fibrosis is high, agreement is low for intralobular and portal inflammation. A recently reported histological variant of HCC, steatohepatitic HCC(SH-HCC), showsfeatures that resemble non-neoplastic steatohepatitis,and is thought to be strongly associated with underlying NASH.In this report,we review the histopathological features of NAFLD/NASH. 展开更多
关键词 histopathology Nonalcoholic fatty liver disease Nonalcoholic steatohepatitis PEDIATRIC Interobserver variation
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Histopathology and Ultrastructural Pathology of Cyprinid Herpesvirus Ⅱ(CyHV-2) Infection in Gibel Carp, Carassius auratus gibelio 被引量:7
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作者 JIANG Nan XU Jin +4 位作者 MA Jie FAN Yuding ZHOU Yong LIU Wenzhi ZENG Lingbing 《Wuhan University Journal of Natural Sciences》 CAS CSCD 2015年第5期413-420,共8页
Cyprinid herpesvirus II (CyHV-2) infection is identi- fied in cultured gibel carp, Carassius auratus gibelio, with high mortality in China in recent years. Histological pathology includes acute hepatocellular necros... Cyprinid herpesvirus II (CyHV-2) infection is identi- fied in cultured gibel carp, Carassius auratus gibelio, with high mortality in China in recent years. Histological pathology includes acute hepatocellular necrosis, splenic necrosis, kidney necrosis, hyperplasia of the secondary lamellae with focal necrosis. Acute necrotic myocarditis and granulocytes are prominent within the cardiac lumen in infected fish. In addition, necrosis is observed in the submucosa and mucosa epithelium of intestinal tract. Edemas are observed in renal glomerulus, submucosa and mucosa epithe- lium of intestinal tract, myocardial cells and neurons. Transmis- sion electron microscopy indicates the cytoplasmic inclusions in splenocytes, glomerulus cells and hematopoietic tissue cells of kidney, epithelial cells of gills and brain cells. The histopathology and ultrastructural pathology in CyHV-2 infected gibel carp are characterized with extensive necrosis and cytoplasmic inclusions in spleen, kidney, gill and brain, which suggests that CyHV-2 may mainly infect the spleen, kidney, gill and brain of fish. 展开更多
关键词 Cyprinid herpesvirus II gibel carp histopathology ultrastructural pathology NECROSIS
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In vivo gastric mucosal histopathology using endocytoscopy 被引量:3
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作者 Hiroki Sato Haruhiro Inoue +6 位作者 Haruo Ikeda Chiaki Sato Chainarong Phlanusittepha Bu'Hussain Hayee Esperanza Grace R Santi Yasutoshi Kobayashi Shin-ei Kudo 《World Journal of Gastroenterology》 SCIE CAS 2015年第16期5002-5008,共7页
AIM:To study the ability of endocytoscopy to identify normal gastric mucosa and to exclude Helicobacter pylori(H.pylori) infection.METHODS:Endocytoscopic examination of the gastric corpus and antrum was performed in 7... AIM:To study the ability of endocytoscopy to identify normal gastric mucosa and to exclude Helicobacter pylori(H.pylori) infection.METHODS:Endocytoscopic examination of the gastric corpus and antrum was performed in 70 consecutive patients.Target biopsy specimens were also obtained from the assessed region and multiple H.pylori tests were performed.The normal endocytoscopy patterns of the corpus and antrum were divided into the normal pit-dominant type(n-Pit) or the normal papilladominant type(n-Pap), respectively characterized as either regular pits with capillary networks or round, smooth papillary structures with spiral capillaries.On the other hand, normal mucosa was defined as mucosa not demonstrating histological abnormalities, including inflammation and atrophy.RESULTS:The sensitivity and specificity of n-Pit for normal mucosa in the gastric corpus were 94.4%and 97.1%,respectively,whereas those of n-Pap for normal mucosa in the antrum were 92.0%and 86.7%,respectively.The positive predictive values of n-Pit and n-Pap for H.pylori-negative tissue were 88.6%and 93.1%,respectively,and their negative predictive values for H.pylori-negative tissues were 42.9%and41.5%,respectively.The inter-observer agreement for determining n-Pit and n-Pap for normal mucosa were0.857 and 0.769,respectively,which is considered reliable.CONCLUSION:N-Pit and n-Pap,seen using EC,are considered useful predictors of normal mucosa and theabsence of H.pylori infection. 展开更多
关键词 ATROPHY ENDOCYTOSCOPY Gastric MUCOSA HELICOBACTER PYLORI In vivo histopathology
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Histopathology of type C liver disease for determining hepatocellular carcinoma risk factors 被引量:3
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作者 Hiroshi Matsumura Kazushige Nirei +5 位作者 Hitomi Nakamura Teruhisa Higuchi Yasuo Arakawa Masahiro Ogawa Naohide Tanaka Mitsuhiko Moriyama 《World Journal of Gastroenterology》 SCIE CAS 2013年第30期4887-4896,共10页
AIM:To evaluate the histopathological findings of type C liver disease to determine risk factors for development of hepatocellular carcinoma(HCC).METHODS:We studied 232 patients,who underwent liver biopsy for type C c... AIM:To evaluate the histopathological findings of type C liver disease to determine risk factors for development of hepatocellular carcinoma(HCC).METHODS:We studied 232 patients,who underwent liver biopsy for type C chronic liver disease between 1992 and 2009,with sustained virological response(SVR)after interferon therapy.The patients were divided into two groups according to the F stage 0+1+2 group(n = 182)and F3+4 group(n = 50).We prospectively observed and compared the incidence of HCC of the patients with SVR in the F0+1+2 and F3+4 groups.Then,the background factors and liver histopathological findings,including the degree of fibrosis,F stage,inflammation,necrosis,bile duct obstruction,fat deposition,and degree of irregular regeneration(IR)of hepatocytes,were correlated with the risk of developing HCC.RESULTS:HCC developed in three of 182(1.6%)patients in the F0+1+2 group,and four of 50(8.0%)in the F3+4 group.The cumulative incidence of HCC in the former group was found to be significantly lower than in the F3+4 group(log rank test P = 0.0224).The presence of atypical hepatocytes among IR of hepatocytes in the F3+4 group resulted in a higher cumulative incidence of HCC,and was significantly correlated with risk of HCC development(RR = 20.748,95%CI:1.335-322.5,P = 0.0303).CONCLUSION:Atypical hepatocytes among the histopathological findings of type C liver disease may be an important risk factor for HCC development along with progression of liver fibrosis. 展开更多
关键词 HEPATOCELLULAR carcinoma Irregular regeneration of HEPATOCYTES LIVER fibrosis TYPE C chronic LIVER disease histopathology of LIVER BIOPSY
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ResNet50-Based Effective Model for Breast Cancer Classification Using Histopathology Images 被引量:4
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作者 Nishant Behar Manish Shrivastava 《Computer Modeling in Engineering & Sciences》 SCIE EI 2022年第2期823-839,共17页
Breast cancer is considered an immense threat and one of the leading causes of mortality in females.It is curable only when detected at an early stage.A standard cancer diagnosis approach involves detection of cancer-... Breast cancer is considered an immense threat and one of the leading causes of mortality in females.It is curable only when detected at an early stage.A standard cancer diagnosis approach involves detection of cancer-related anomalies in tumour histopathology images.Detection depends on the accurate identification of the landmarks in the visual artefacts present in the slide images.Researchers are continuously striving to develop automatic machine-learning algorithms for processing medical images to assist in tumour detection.Nowadays,computerbased automated systems play an important role in cancer image analysis and help healthcare experts make rapid and correct inferences about the type of cancer.This study proposes an effective convolutional neural networkbased(CNN-based)model that exploits the transfer-learning technique for automatic image classification between malignant and benign tumour,using histopathology images.Resnet50 architecture has been trained on new dataset for feature extraction,and fully connected layers have been fine-tuned for achieving highest training,validation and test accuracies.The result illustrated state-of-the-art performance of the proposed model with highest training,validation and test accuracies as 99.70%,99.24%and 99.24%,respectively.Classification accuracy is increased by 0.66%and 0.2%when compared with similar recent studies on training and test data results.Average precision and F1 score have also improved,and receiver operating characteristic(RoC)area has been achieved to 99.1%.Thus,a reliable,accurate and consistent CNN model based on pre-built Resnet50 architecture has been developed. 展开更多
关键词 CLASSIFICATION histopathology images convolutional neural network breast cancer breakHis
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Chronic acalculous cholecystitis:correlation of clinical assessment,laboratory data and final histopathology 被引量:4
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作者 Yan Jianjun Zhu Qian Shen Jun Zhou Feiguo Huang Liang Liu Caifeng Zhang Xianghua Cong Wenming Yan Yiqun 《Journal of Medical Colleges of PLA(China)》 CAS 2012年第2期101-112,共12页
Objective:To summarize and analyze the clinical and histopathological features of chronic acalculous cholecystitis (CAC) and to investigate the diagnosis and surgical treatment of chronic acalculous cholecystit.Method... Objective:To summarize and analyze the clinical and histopathological features of chronic acalculous cholecystitis (CAC) and to investigate the diagnosis and surgical treatment of chronic acalculous cholecystit.Methods:The study subjects were 39 patients with chronic biliary symptoms but no evidence of stones in the gallbladder by B ultrasonography and magnetic resonance cholopancreatography (MRCP) (CAC group).The CCC group consisted of 66 patients taken randomly from concurrent all patients of chronic calculous cholecystitis (CCC).All patients accepted fibergastroscopy,B ultrasonography,MRCP,laboratory examination preoperatively.We retrospectively analyzed the clinical features,B ultrasonography and MRCP findings,histopathological results and clinical outcomes between the two groups.Results:All the 39 patients were diagnosed by clinical symptoms,B ultrasonography,fatty meal gallbladder contractability studies under ultrasound,fibergastroscopy and magnetic resonance cholangiopancreatography (MRCP),what's more,they were pathologically verified postoperatively.In all patients,there was a complete absence of gallbladder wall contractability.Mucosa epithelial defect was found in 21 patients in CAC group (53.8%) and 16 patients in CCC group (24.2%) respectively (P<0.005).Thickened arteriole wall was found in 29 patients in CAC group (74.4%) and none patient in CCC group (P<0.0001).Thickened gallbladder wall (4 mm or more in thickness) was found in 33 patients in CAC group (84.6%) and 28 patients in CCC group (42.4%) respectively (P<0.005).Bile stasis was found in 23 patients in CAC group (59.0%) and 14 patients in CCC group (21.2%) respectively by ultrasonography preoperatively and confirmed in operation (P<0.005).The outcomes of cholecystectomy,expressed as total or near total relief,was similar in the two groups.No statistically significant differences were observed between patients with CAC (90%) and CCC (80%),the P-value >0.05.Conclusion:Chronic acalculous cholecystitis could be diagnosed by symptoms,ultrasound,fatty meal gallbladder contractability studies under untrasoundand MRCP.The optimal treatment of chronic acalculous cholecystitis characterized by thickened arteriole wall and mucosa epithelial defect is cholecystectomy. 展开更多
关键词 CHOLECYSTITIS histopathology CHOLECYSTECTOMY Gallbladder contractability Magnetic resonance cholangiopancreatography
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Histopathology and the predominantly progressive,indeterminate and predominately regressive score in hepatitis C virus patients after direct-acting antivirals therapy 被引量:4
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作者 Rui Huang Hui-Ying Rao +5 位作者 Ming Yang Ying-Hui Gao Jian Wang Qian Jin Dan-Li Ma Lai Wei 《World Journal of Gastroenterology》 SCIE CAS 2021年第5期404-415,共12页
BACKGROUND Histological changes after direct-acting antivirals(DAAs)therapy in hepatitis C virus(HCV)patients has not been elucidated.Whether the predominantly progressive,indeterminate and predominately regressive(P-... BACKGROUND Histological changes after direct-acting antivirals(DAAs)therapy in hepatitis C virus(HCV)patients has not been elucidated.Whether the predominantly progressive,indeterminate and predominately regressive(P-I-R)score,evaluating fibrosis activity in hepatitis B virus patients has predictive value in HCV patients has not been investigated.AIM To identify histological changes after DAAs therapy and to evaluate the predictive value of the P-I-R score in HCV patients.METHODS Chronic HCV patients with paired liver biopsy specimens before and after DAAs treatment were included.Sustained virologic response(SVR)was defined as an undetectable serum HCV RNA level at 24 wk after treatment cessation.The Ishak system and P-I-R score were assessed.Inflammation improvement and fibrosis regression were defined as a≥2-points decrease in the histology activity index(HAI)score and a≥1-point decrease in the Ishak fibrosis score,respectively.Fibrosis progression was defined as a≥1-point increase in the Ishak fibrosis score.Histologic improvement was defined as a≥2-points decrease in the HAI score without worsening of the Ishak fibrosis score after DAAs therapy.The P-I-R score was also assessed.“absolutely reversing or advancing”was defined as the same directionality implied by both change in the Ishak score and posttreatment P-I-R score;and“probably reversing or advancing”was defined as only one parameter showing directionality.RESULTS Thirty-eight chronic HCV patients with paired liver biopsy specimens before and after DAAs treatment were included.The mean age of these patients was 40.9±14.6 years and there were 53%(20/38)males.Thirty-four percent(13/38)of patients were cirrhotic.Eighty-two percent(31/38)of patients achieved inflammation improvement.The median HAI score decreased significantly after SVR(pretreatment 7.0 vs posttreatment 2.0,Z=-5.146,P=0.000).Thirty-seven percent(14/38)of patients achieved fibrosis improvement.The median Ishak score decreased significantly after SVR(pretreatment 4.0 vs posttreatment 3.0,Z=-2.354,P=0.019).Eighty-two percent(31/38)of patients showed histological improvement.The P-I-R score was evaluated in 61%(23/38)of patients.The progressive group showed lower platelet(P=0.024)and higher HAI scores(P=0.070)before treatment.In patients with stable Ishak stage after treatment:Progressive injury was seen in 22%(4/18)of patients,33%(6/18)were classified as indeterminate and regressive changes were seen in 44%(8/18)of patients who were judged as probably reversing by the Ishak and P-I-R systems.CONCLUSION Significant improvement of necroinflammation and partial remission of fibrosis in HCV patients occurred shortly after DAAs therapy.The P-I-R score has potential in predicting fibrosis in HCV patients. 展开更多
关键词 Hepatitis C virus Direct-acting antiviral agents Necroinflammation Fibrosis Predominantly progressive indeterminate and predominately regressive score histopathology
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Incidental non-benign gallbladder histopathology after cholecystectomy in an United Kingdom population: Need for routine histological analysis? 被引量:3
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作者 Krashna Patel Khaled Dajani +9 位作者 Satheesh Iype Nikolaos A Chatzizacharias Saranya Vickramarajah Susan Davies Rebecca Brais Siong S Liau Simon Harper Asif Jah Raaj K Praseedom Emmanuel L Huguet 《World Journal of Gastrointestinal Surgery》 SCIE CAS 2016年第10期685-692,共8页
AIM To analyse the range of histopathology detected in the largest published United Kingdom series of cholecystectomy specimens and to evaluate the rational for selective histopathological analysis.METHODS Incidental ... AIM To analyse the range of histopathology detected in the largest published United Kingdom series of cholecystectomy specimens and to evaluate the rational for selective histopathological analysis.METHODS Incidental gallbladder malignancy is rare in the United Kingdom with recent literature supporting selective histological assessment of gallbladders after routine cholecystectomy.All cholecystectomy gallbladder specimens examined by the histopathology department at our hospital during a five year period between March 2008 and March 2013 were retrospectively analysed.Further data was collected on all specimens demonstrating carcinoma,dysplasia and polypoid growths.RESULTS The study included 4027 patients.The majority(97%) of specimens exhibited gallstone or cholecystitis related disease.Polyps were demonstrated in 44(1.09%),the majority of which were cholesterol based(41/44).Dysplasia,ranging from low to multifocal high-grade was demonstrated in 55(1.37%).Incidental primary gallbladder adenocarcinoma was detected in 6 specimens(0.15%,5 female and 1 male),and a single gallbladder revealed carcinoma in situ(0.02%).This large single centre study demonstrated a full range of gallbladder disease from cholecystectomy specimens,including more than 1% neoplastic histology and two cases of macroscopically occult gallbladder malignancies.CONCLUSION Routine histological evaluation of all elective and emergency cholecystectomies is justified in a United Kingdom population as selective analysis has potential to miss potentially curable life threatening pathology. 展开更多
关键词 GALLBLADDER INCIDENTAL CHOLECYSTECTOMY histopathology Carcinoma
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