Diagnostic Histopathology最新文献_第4页

Sarcomatoid plasma cell tumour: a rare entity 肉瘤样浆细胞瘤：一种罕见的肿瘤

Diagnostic Histopathology Pub Date : 2025-05-01 DOI: 10.1016/j.mpdhp.2025.03.006

Sarah Ruane, Christian Seghetti, Jonathan Shanks, Adrienne Flanagan

{"title":"Sarcomatoid plasma cell tumour: a rare entity","authors":"Sarah Ruane, Christian Seghetti, Jonathan Shanks, Adrienne Flanagan","doi":"10.1016/j.mpdhp.2025.03.006","DOIUrl":"10.1016/j.mpdhp.2025.03.006","url":null,"abstract":"<div><div>Sarcomatoid plasma cell tumours are rare entities, and often present histopathologists with great diagnostic difficulty as they can exhibit a wide range of morphological and immunohistochemical profiles. Herein we present a case report of a 76-year-old man, with an enlarging knee mass, in whom an open biopsy showed solid sheets of pleomorphic cells with plasmacytoid, epithelioid and spindled morphology. Cytokeratin, melanocytic and mesenchymal markers were negative, so a provisional diagnosis of undifferentiated pleomorphic sarcoma (UPS), grade 3 was suggested. However, upon tertiary review of the CD138, there was focal weak positivity, triggering further haematological work up, including immunoglobulin heavy chain gene analysis which ultimately detected a heavy chain gene rearrangement. Thus, a diagnosis of a sarcomatoid plasma cell tumour was made. This case demonstrates the importance having plasma cell tumours within histopathologist's differential diagnoses when posed with a sarcomatoid tumour. It also highlights the need for judicious interpretation of IHC, and the use of a wide panel of IHC to ensure that correct histopathological diagnoses are made.</div></div>","PeriodicalId":39961,"journal":{"name":"Diagnostic Histopathology","volume":"31 5","pages":"Pages 300-303"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143924814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrating histopathology and epidemiology to explore cancer aetiology and survival 结合组织病理学和流行病学探讨癌症的病因和生存

Diagnostic Histopathology Pub Date : 2025-05-01 DOI: 10.1016/j.mpdhp.2025.03.005

Kezia Gaitskell

{"title":"Integrating histopathology and epidemiology to explore cancer aetiology and survival","authors":"Kezia Gaitskell","doi":"10.1016/j.mpdhp.2025.03.005","DOIUrl":"10.1016/j.mpdhp.2025.03.005","url":null,"abstract":"<div><div>Cancer epidemiology involves using large population studies to describe disease patterns and investigate factors associated with cancer incidence and survival. As the classification of cancers grows ever more complex, with subtypes defined by both conventional histopathological features and novel molecular techniques, it is becoming increasingly important to take account of histopathology in cancer epidemiology research. This review discusses selected examples of where appropriate integration of histopathology into clinical trials and observational epidemiological studies has enabled clinically-important insights into cancer aetiology and survival, including: identifying drugs which are effective in specific molecularly-defined cancer subtypes; demonstrating the value of histopathological variables in predicting survival in breast and ovarian cancers; gaining novel insights into contrasting risk factors for histological types of oesophageal cancer; and using epidemiology to complement histopathology in strengthening the evidence base for the origins and prevention of ovarian cancer. Work is ongoing to integrate histopathology data, including digital slides, into large population health resources such as the 100,000 Genomes Project and the UK Biobank cohort, which will eventually provide rich and complex datasets for exploring histopathology-related questions on a population level. However, expert clinical pathology involvement will be essential to ensure this future work remains scientifically robust and clinically relevant.</div></div>","PeriodicalId":39961,"journal":{"name":"Diagnostic Histopathology","volume":"31 5","pages":"Pages 290-299"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143924822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Academic training pathways in histopathology: practical perspectives 组织病理学的学术培训途径：实践观点

Diagnostic Histopathology Pub Date : 2025-05-01 DOI: 10.1016/j.mpdhp.2025.03.004

Rosalin A Cooper

引用次数: 0

Developing AI-powered tools for histopathology: opportunities, challenges and new friends along the way 为组织病理学开发人工智能工具：机遇、挑战和新朋友

Diagnostic Histopathology Pub Date : 2025-05-01 DOI: 10.1016/j.mpdhp.2025.03.003

Sharon Ruane, Korsuk Sirinukunwattana, Anna Kotanska, Alan Aberdeen

{"title":"Developing AI-powered tools for histopathology: opportunities, challenges and new friends along the way","authors":"Sharon Ruane, Korsuk Sirinukunwattana, Anna Kotanska, Alan Aberdeen","doi":"10.1016/j.mpdhp.2025.03.003","DOIUrl":"10.1016/j.mpdhp.2025.03.003","url":null,"abstract":"<div><div>Advancements in slide digitization and artificial intelligence (AI) offer immense transformative potential for pathology. While much focus is placed on AI's potential to automate tasks and standardize assessments, its most significant impact may come from uncovering novel tissue-based biomarkers and deepening our understanding of disease. Properly developed and validated AI-based tools could improve the quantification of known biomarkers, identify novel tissue-based biomarkers beyond human perception, and enable inter-sample comparisons to reveal disease subtypes and heterogeneity. This article draws on our practical experience working with pathologists to develop AI-based algorithms for assessing bone marrow in patients with blood cancer. We provide an overview of approaches to AI model development from perspectives typically of most interest to our pathologist collaborators: the data requirements and the resulting model interpretability. We discuss the limitations of the current manual assessment of histopathology samples and the opportunities provided by AI-based approaches. We then address major challenges in the field and discuss how an interdisciplinary approach combining expertise across disciplines is essential to maximizing the potential of AI-powered pathology tools.</div></div>","PeriodicalId":39961,"journal":{"name":"Diagnostic Histopathology","volume":"31 5","pages":"Pages 277-283"},"PeriodicalIF":0.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143924810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Transforming pathology into digital pathology: highway to hell or stairway to heaven? 将病理学转变为数字病理学：通往地狱的高速公路还是通往天堂的阶梯？

Diagnostic Histopathology Pub Date : 2025-04-30 DOI: 10.1016/j.mpdhp.2025.04.002

Rainer Grobholz, Andrew Janowczyk, Inti Zlobec

{"title":"Transforming pathology into digital pathology: highway to hell or stairway to heaven?","authors":"Rainer Grobholz, Andrew Janowczyk, Inti Zlobec","doi":"10.1016/j.mpdhp.2025.04.002","DOIUrl":"10.1016/j.mpdhp.2025.04.002","url":null,"abstract":"<div><div>Digital Pathology (DP) is revolutionizing diagnostic surgical pathology, transitioning from traditional microscopy to digital workflows that enhance diagnostic accuracy, streamline processes, and enable cost efficiency. While fully digitized laboratories demonstrate improved efficiency and engagement, adoption remains uneven globally due to infrastructure, cost, and organizational barriers. As a result, European and Asian institutions demonstrate adoption of DP with varying strategies tailored to resource availability and goals. Here we highlight important issues when planning and implementing DP systems. Successful implementation requires robust IT infrastructure (server, random access memory, network speed), including integrated image management and laboratory information systems, and scalable storage solutions. Selecting the appropriate scanners and optimizing workflows are critical, guided by specific institutional needs such as slide volume, turnaround times, and digitization scope. Financially, DP demands significant initial investment but offers long-term benefits in operational efficiency, cost savings, and workforce optimization. Image analysis integration and national initiatives are key drivers for DP adoption, addressing diagnostic challenges and fostering collaboration. Overcoming obstacles such as high costs, technical complexity, and resistance from pathologists is essential. As technology advances and costs decrease, DP is poised to transform pathology with improved diagnostic workflows, quality control, and accessibility.</div></div>","PeriodicalId":39961,"journal":{"name":"Diagnostic Histopathology","volume":"31 7","pages":"Pages 410-415"},"PeriodicalIF":0.0,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144489741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Podocyte infolding glomerulopathy: a rare entity 足细胞与折叠性肾小球病变：一种罕见的疾病

Diagnostic Histopathology Pub Date : 2025-04-28 DOI: 10.1016/j.mpdhp.2025.04.008

Anastasiya Kret, Ali Al-Omari, Bart Wagner

引用次数: 0

Pathology in the artificial intelligence era: practical insights for immunohistochemistry and molecular pathology 人工智能时代的病理学：免疫组织化学和分子病理学的实践见解

Diagnostic Histopathology Pub Date : 2025-04-26 DOI: 10.1016/j.mpdhp.2025.04.003

Gabriel Wasinger, Maximilian C Koeller, Eva Compérat

{"title":"Pathology in the artificial intelligence era: practical insights for immunohistochemistry and molecular pathology","authors":"Gabriel Wasinger, Maximilian C Koeller, Eva Compérat","doi":"10.1016/j.mpdhp.2025.04.003","DOIUrl":"10.1016/j.mpdhp.2025.04.003","url":null,"abstract":"<div><div>Artificial intelligence (AI) is driving a revolution in pathology, transforming traditional workflows and addressing critical challenges in the field. This review highlights the integration of AI into immunohistochemistry (IHC) and molecular pathology (MP), where its potential to enhance diagnostic accuracy, efficiency, and reproducibility is becoming increasingly evident. In IHC, AI tools offer solutions to limitations such as subjective biomarker scoring, interobserver variability, and growing workloads by enabling automated and consistent analysis of diagnostic and predictive markers. Similarly, in MP, AI addresses challenges in tumor annotation, genetic mutation interpretation and prediction, and integration of multidimensional data to streamline workflows and enhance precision medicine. By combining computational power with pathologists' expertise, AI holds the promise of reshaping pathology into a more efficient, reliable, and scalable discipline. However, continued efforts in validation, transparency, and cost optimization will be crucial to fully realize AI's transformative potential in clinical pathology.</div></div>","PeriodicalId":39961,"journal":{"name":"Diagnostic Histopathology","volume":"31 7","pages":"Pages 416-423"},"PeriodicalIF":0.0,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144489540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Schistosomiasis: extensive urinary bladder infiltration in an unusual case of suspected cancer 血吸虫病：怀疑癌症的罕见病例膀胱广泛浸润

Diagnostic Histopathology Pub Date : 2025-04-25 DOI: 10.1016/j.mpdhp.2025.04.006

Caroline Cartlidge, Selina Bhattarai

引用次数: 0

Decoding liver biopsies: a pattern-based approach 解码肝活检：一种基于模式的方法

Diagnostic Histopathology Pub Date : 2025-04-23 DOI: 10.1016/j.mpdhp.2025.03.010

Nemencio Ronquillo, Monica T Garcia-Buitrago

{"title":"Decoding liver biopsies: a pattern-based approach","authors":"Nemencio Ronquillo, Monica T Garcia-Buitrago","doi":"10.1016/j.mpdhp.2025.03.010","DOIUrl":"10.1016/j.mpdhp.2025.03.010","url":null,"abstract":"<div><div>The histological evaluation of liver biopsies is a crucial component in the diagnosis and management of a wide range of liver diseases. This process, often complex and detailed, requires a systematic, stepwise approach. Initially, pathologists must identify the overall injury pattern at low magnification, providing a foundation for further investigation. Once the injury pattern is recognized, it is essential to carefully examine the biopsy for distinctive microscopic features that may provide additional diagnostic clues. Many hepatic injury patterns are linked to well-established differential diagnoses, which help guide the diagnostic process. The assessment of a liver biopsy extends beyond simply identifying injury patterns. It requires a thoughtful integration of pathological findings, differential diagnoses, the patient's clinical presentation, as well as relevant laboratory tests and imaging studies. This comprehensive approach is essential, as it offers invaluable insights into the underlying etiology of the liver disease. In this review, we will focus on the most commonly encountered hepatic injury patterns. By enhancing the diagnostic accuracy and ensuring a thorough interpretation of liver biopsies, pathologists can significantly contribute to the effective management and treatment of liver disorders.</div></div>","PeriodicalId":39961,"journal":{"name":"Diagnostic Histopathology","volume":"31 6","pages":"Pages 325-339"},"PeriodicalIF":0.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144138315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Gallbladder pathology: unveiling the latest breakthroughs 胆囊病理学：揭示最新突破

Diagnostic Histopathology Pub Date : 2025-04-21 DOI: 10.1016/j.mpdhp.2025.03.009

Ashwin S Akki, Daniela S Allende

引用次数: 0