Pathologie (Heidelberg, Germany)最新文献

{"title":"[Melanin bleaching-an (almost) forgotten technique].","authors":"Antonia Herrmann, Kirsten Utpatel, Matthias Evert","doi":"10.1007/s00292-023-01256-8","DOIUrl":"10.1007/s00292-023-01256-8","url":null,"abstract":"","PeriodicalId":74402,"journal":{"name":"Pathologie (Heidelberg, Germany)","volume":" ","pages":"87"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138296749","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}

{"title":"[Digital Pathology].","authors":"Nadine Flinner, Peter Boor, Peter J Wild","doi":"10.1007/s00292-024-01306-9","DOIUrl":"10.1007/s00292-024-01306-9","url":null,"abstract":"","PeriodicalId":74402,"journal":{"name":"Pathologie (Heidelberg, Germany)","volume":"45 2","pages":"88-89"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10902075/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139984774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Bone marrow histology of cytopenias : Contribution to hematological differential diagnosis].","authors":"Hans Kreipe","doi":"10.1007/s00292-024-01302-z","DOIUrl":"10.1007/s00292-024-01302-z","url":null,"abstract":"<p><p>Besides microscopic evaluation of smears, flow cytometric analysis, chromosomal and molecular studies, histological analysis of bone marrow biopsies (BMbx) is an important component of multiparameter diagnostics of cytopenias in hematology. More than in other fields of histopathology, correct interpretation of BMbx requires correlation with the results of these further studies and other clinical findings. Microcytic, normocytic and macrocytic anemia, isolated granulocytopenia and thromobocytopenia as well as pancytopenia represent frequent and recurrent diseases. With regard to aetiology, reactive and neoplastic causes must be differentiated. Reactive causes of cytopenia include substrate deficiencies, enhanced turn over and loss, and inflammatory processes. Neoplastic disorders with the exception of myeloproliferative neoplasms generally manifest as cytopenia and comprise myelodysplastic syndromes (MDS), acute myeloid leukemia (AML) and lymphoma.</p>","PeriodicalId":74402,"journal":{"name":"Pathologie (Heidelberg, Germany)","volume":" ","pages":"148-158"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139914224","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}

{"title":"[The model transferability of AI in digital pathology : Potential and reality].","authors":"Robin S Mayer, Maximilian N Kinzler, Alexandra K Stoll, Steffen Gretser, Paul K Ziegler, Anna Saborowski, Henning Reis, Arndt Vogel, Peter J Wild, Nadine Flinner","doi":"10.1007/s00292-024-01299-5","DOIUrl":"10.1007/s00292-024-01299-5","url":null,"abstract":"<p><strong>Objective: </strong>Artificial intelligence (AI) holds the potential to make significant advancements in pathology. However, its actual implementation and certification for practical use are currently limited, often due to challenges related to model transferability. In this context, we investigate the factors influencing transferability and present methods aimed at enhancing the utilization of AI algorithms in pathology.</p><p><strong>Materials and methods: </strong>Various convolutional neural networks (CNNs) and vision transformers (ViTs) were trained using datasets from two institutions, along with the publicly available TCGA-MIBC dataset. These networks conducted predictions in urothelial tissue and intrahepatic cholangiocarcinoma (iCCA). The objective was to illustrate the impact of stain normalization, the influence of various artifacts during both training and testing, as well as the effects of the NoisyEnsemble method.</p><p><strong>Results: </strong>We were able to demonstrate that stain normalization of slides from different institutions has a significant positive effect on the inter-institutional transferability of CNNs and ViTs (respectively +13% and +10%). In addition, ViTs usually achieve a higher accuracy in the external test (here +1.5%). Similarly, we showcased how artifacts in test data can negatively affect CNN predictions and how incorporating these artifacts during training leads to improvements. Lastly, NoisyEnsembles of CNNs (better than ViTs) were shown to enhance transferability across different tissues and research questions (+7% Bladder, +15% iCCA).</p><p><strong>Discussion: </strong>It is crucial to be aware of the transferability challenge: achieving good performance during development does not necessarily translate to good performance in real-world applications. The inclusion of existing methods to enhance transferability, such as stain normalization and NoisyEnsemble, and their ongoing refinement, is of importance.</p>","PeriodicalId":74402,"journal":{"name":"Pathologie (Heidelberg, Germany)","volume":" ","pages":"124-132"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10901943/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139900977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Digital transformation of a routine histopathology lab : Dos and don'ts!]","authors":"Viola Iwuajoku, Anette Haas, Kübra Ekici, Mohammad Zaid Khan, Fabian Stögbauer, Katja Steiger, Carolin Mogler, Peter J Schüffler","doi":"10.1007/s00292-023-01291-5","DOIUrl":"10.1007/s00292-023-01291-5","url":null,"abstract":"<p><p>The implementation of digital histopathology in the laboratory marks a crucial milestone in the overall digital transformation of pathology. This shift offers a range of new possibilities, including access to extensive datasets for AI-assisted analyses, the flexibility of remote work and home office arrangements for specialists, and the expedited and simplified sharing of images and data for research, conferences, and tumor boards. However, the transition to a fully digital workflow involves significant technological and personnel-related efforts. It necessitates careful and adaptable change management to minimize disruptions, particularly in the personnel domain, and to prevent the loss of valuable potential from employees who may be resistant to change. This article consolidates our institute's experiences, highlighting technical and personnel-related challenges encountered during the transition to digital pathology. It also presents a comprehensive overview of potential difficulties at various interfaces when converting routine operations to a digital workflow.</p>","PeriodicalId":74402,"journal":{"name":"Pathologie (Heidelberg, Germany)","volume":" ","pages":"98-105"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10902067/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139378963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Advances in computational quantitative nephropathology].","authors":"Roman D Bülow, Patrick Droste, Peter Boor","doi":"10.1007/s00292-024-01300-1","DOIUrl":"10.1007/s00292-024-01300-1","url":null,"abstract":"<p><strong>Background: </strong>Semiquantitative histological scoring systems are frequently used in nephropathology. In computational nephropathology, the focus is on generating quantitative data from histology (so-called pathomics). Several recent studies have collected such data using next-generation morphometry (NGM) based on segmentations by artificial neural networks and investigated their usability for various clinical or diagnostic purposes.</p><p><strong>Aim: </strong>To present an overview of the current state of studies regarding renal pathomics and to identify current challenges and potential solutions.</p><p><strong>Materials and methods: </strong>Due to the literature restriction (maximum of 30 references), studies were selected based on a database search that processed as much data as possible, used innovative methodologies, and/or were ideally multicentric in design.</p><p><strong>Results and discussion: </strong>Pathomics studies in the kidney have impressively demonstrated that morphometric data are useful clinically (for example, for prognosis assessment) and translationally. Further development of NGM requires overcoming some challenges, including better standardization and generation of prospective evidence.</p>","PeriodicalId":74402,"journal":{"name":"Pathologie (Heidelberg, Germany)","volume":" ","pages":"140-145"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139673813","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}

{"title":"[Fundamentals in the pathology of testicular tumours].","authors":"Alexander Fichtner, Felix Bremmer","doi":"10.1007/s00292-023-01294-2","DOIUrl":"10.1007/s00292-023-01294-2","url":null,"abstract":"<p><p>The most common group of testicular tumours comprises germ cell tumours. Other primary testicular tumours are rare, but it is important to be aware of the wide variety of other, much rarer testicular tumours for the differential diagnosis. These tumours include sex cord stromal tumours and testicular adnexal tumours, which must be distinguished from metastases or somatic-type malignancies in germ cell tumours. Immunohistochemical markers and molecular alterations can help to correctly diagnose these tumours.</p>","PeriodicalId":74402,"journal":{"name":"Pathologie (Heidelberg, Germany)","volume":" ","pages":"71-82"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139542599","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}

{"title":"[The biomarker POLE in tumor pathology].","authors":"Ulrich Lehmann, Albrecht Stenzinger","doi":"10.1007/s00292-023-01284-4","DOIUrl":"10.1007/s00292-023-01284-4","url":null,"abstract":"","PeriodicalId":74402,"journal":{"name":"Pathologie (Heidelberg, Germany)","volume":" ","pages":"67-68"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138489301","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}

{"title":"DKK 2024: „Gemeinsam für die beste Versorgung unserer Patient*innen“ : Interview mit Prof. Dr. Reinhard Büttner, Köln, Kongresspräsident des DKK 2024.","authors":"Reinhard Büttner","doi":"10.1007/s00292-023-01287-1","DOIUrl":"10.1007/s00292-023-01287-1","url":null,"abstract":"","PeriodicalId":74402,"journal":{"name":"Pathologie (Heidelberg, Germany)","volume":" ","pages":"69-70"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138464909","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}

{"title":"[Exocrine meets neuroendocrine: mimickers of pancreatic neuroendocrine neoplasms].","authors":"Eva Karamitopoulou-Diamantis","doi":"10.1007/s00292-023-01286-2","DOIUrl":"10.1007/s00292-023-01286-2","url":null,"abstract":"<p><p>Neuroendocrine neoplasms (NENs) originate from various epithelial or neuroectodermal tissues, can occur in any organ, including the pancreas, and are characterized by the expression of the neuroendocrine markers synaptophysin and chromogranin A. Pancreatic neuroendocrine tumors (PanNETs) are well-differentiated epithelial neoplasms with morphological and immunohistochemical features of neuroendocrine differentiation of low, intermediate, or high grade. Pancreatic neuroendocrine carcinomas (PanNECs) are clinically aggressive, high-grade (poorly differentiated) carcinomas with morphologic features suggesting neuroendocrine differentiation, a high proliferative rate (> 20 mitoses per 2 mm² and Ki67 index > 20%), and immunohistochemical labeling for neuroendocrine markers. They include the small cell neuroendocrine carcinoma and the large cell neuroendocrine carcinoma categories.Neuroendocrine-like morphology coupled with immunohistochemical markers of neuroendocrine differentiation are highly specific. However, neuroendocrine markers may also be expressed in non-neuroendocrine neoplasms, which can therefore be confused with NENs. Mimickers of pancreatic NENs comprise a number of important pitfall tumors, including epithelial and non-epithelial neoplasms, such as acinar cell carcinomas, solid pseudopapillary neoplasms (SPNs), or even non-neoplastic lesions. All of these lesions have the expression of neuroendocrine markers in common, such as synaptophysin and chromogranin A, and although they are comparatively rare, they can cause considerable diagnostic problems. This review article deals with some of the most important mimickers of pancreatic neuroendocrine neoplasms and even non-neoplastic lesions, such as islet aggregation. The similarities and differences between these entities and pancreatic neuroendocrine neoplasms are highlighted, and key findings that facilitate the correct diagnosis are discussed.</p>","PeriodicalId":74402,"journal":{"name":"Pathologie (Heidelberg, Germany)","volume":" ","pages":"42-49"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138813539","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}