{"title":"[Report of the German Society of Pathology Thoracic Pathology Working Group].","authors":"Christiane Kümpers, Maximilian von Laffert","doi":"10.1007/s00292-024-01362-1","DOIUrl":"10.1007/s00292-024-01362-1","url":null,"abstract":"","PeriodicalId":74402,"journal":{"name":"Pathologie (Heidelberg, Germany)","volume":" ","pages":"116-119"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142309307","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":"[Report of the German Society for Pathology Head and Neck Pathology Working Group : 107th Annual Meeting of the German Society for Pathology, Garching near Munich, May 2024].","authors":"N Rupp","doi":"10.1007/s00292-024-01388-5","DOIUrl":"10.1007/s00292-024-01388-5","url":null,"abstract":"","PeriodicalId":74402,"journal":{"name":"Pathologie (Heidelberg, Germany)","volume":" ","pages":"112-113"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142607026","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}
Julia Maier, Julian D Schwab, Silke D Werle, Ralf Marienfeld, Peter Möller, Nadine T Gaisa, Nensi Ikonomi, Hans A Kestler
{"title":"Boolean network modeling and its integration with experimental read-outs : An interdisciplinary presentation using a leukemia model.","authors":"Julia Maier, Julian D Schwab, Silke D Werle, Ralf Marienfeld, Peter Möller, Nadine T Gaisa, Nensi Ikonomi, Hans A Kestler","doi":"10.1007/s00292-024-01395-6","DOIUrl":"10.1007/s00292-024-01395-6","url":null,"abstract":"<p><p>The limited availability of suitable animal models and cell lines often impedes experimental cancer research. Wet-laboratory experiments are also time-consuming and cost-intensive. In this review, we present an in silico modeling strategy, namely, Boolean network (BN) models, and demonstrate how it could be applied to streamline experimental design and to focus the effort of experimental read-outs. Boolean network models allow for the dynamic analysis of large molecular signaling pathways and their crosstalks. After establishing and validating a specific tumor model, mechanistic insights into the tumor cell behavior can be gained by studying the trajectories of different tumor phenotypes. Also, tumor driver and drug target screenings can be performed. These automatic screenings can help to identify new intervention targets and putative biomarkers for tumor evolution, hence guiding new wet-laboratory experiments. The goal of this round-up is to demonstrate how to establish, validate, and use BN modeling and its crosstalks in classic wet-laboratory research using a chronic lymphocytic leukemia (CLL) BN model.</p>","PeriodicalId":74402,"journal":{"name":"Pathologie (Heidelberg, Germany)","volume":" ","pages":"26-30"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142634303","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":"[Report of the German Society for Pathology Working Group on Hematopathology].","authors":"Sylvia Hartmann","doi":"10.1007/s00292-024-01389-4","DOIUrl":"10.1007/s00292-024-01389-4","url":null,"abstract":"","PeriodicalId":74402,"journal":{"name":"Pathologie (Heidelberg, Germany)","volume":" ","pages":"103-104"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142670014","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":"Key considerations when implementing new diagnostic technologies in routine practice.","authors":"Jochen Lennerz","doi":"10.1007/s00292-024-01396-5","DOIUrl":"10.1007/s00292-024-01396-5","url":null,"abstract":"<p><strong>Background: </strong>The field of pathology is evolving with the integration of advanced and artificial-intelligence-powered diagnostic technologies. However, there remains a significant gap in clearly outlining the key considerations for the effective implementation of these innovations into clinical care.</p><p><strong>Objectives: </strong>The aim of this review was to identify and address the essential aspects required to bridge the implementation gap of new diagnostic technologies in pathology.</p><p><strong>Material and methods: </strong>This review synthesizes key elements from relevant scientific journals, organizational websites, and practical examples from pathology practice. The findings are presented as a structured framework of six key elements, supported by an infographic and illustrative cases from clinical settings.</p><p><strong>Results: </strong>The key elements are: (1) Innovation depends more on the people driving it than on the work it demands, highlighting the importance of team collaboration and communication; (2) in-depth knowledge of the delivery system emphasizing the importance of care, IT, and administrative layers is crucial; (3) data-driven decision-making in healthcare transformation is central, with an emphasis on the process of converting real-world data (RWD) into actionable real-world evidence (RWE); (4) a proven approach for practice transformation uses a structured (utilization management strategy, UMS) framework; (5) a balanced approach toward financial sustainability, including local and systemic financial strategies, is important; and (6) ensuring safe and effective progress requires a new, collaborative definition of regulatory science, aligning innovation with regulatory oversight to support technological advancements.</p><p><strong>Conclusion: </strong>These key aspects offer a foundational framework for integrating new technologies into healthcare. Although not exhaustive, overlooking them would miss a significant opportunity to enhance patient care.</p>","PeriodicalId":74402,"journal":{"name":"Pathologie (Heidelberg, Germany)","volume":" ","pages":"83-92"},"PeriodicalIF":0.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142683703","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":"[A lump in the male breast-case report of an unusual tumor manifestation].","authors":"Torsten Hansen, E Z Kovacs, J Kriegsmann, S M Jud","doi":"10.1007/s00292-024-01369-8","DOIUrl":"https://doi.org/10.1007/s00292-024-01369-8","url":null,"abstract":"","PeriodicalId":74402,"journal":{"name":"Pathologie (Heidelberg, Germany)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142482561","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":"[Histopathological diagnostics for assessment questions of tendo-, ligamento-, and meniscus pathologies].","authors":"Veit Krenn, Lara Blümke, Ralf Dieckmann","doi":"10.1007/s00292-024-01354-1","DOIUrl":"https://doi.org/10.1007/s00292-024-01354-1","url":null,"abstract":"<p><p>This review article presents the possibilities and limitations of histopathological diagnostics on the issues of joint diseases, including in the context of the medical insurance inquiries, which consider the important articular, non-osseous compartments, especially of the tendons, ligaments, and meniscus. Essential for expert assessments is the causal clarification of whether the continuity disruption has been induced exogenously by trauma or endogenously based on tissue that is functionally impaired and thus degeneratively altered. The degree of degeneration/texture disorder is determined by means of the degeneration-score, which is set in a semiquantitative, three-stage grading. Grades 1 and 2 are summed up as low-grade degeneration and compared to grade 3, high-grade degeneration. Age determination of continuity disruption is based on the assessment of the morphology of discontinuity and on the assessment of hemosiderin deposits. The tasks of histopathological diagnostics thus consist of the detection and grading of textural disorder (degeneration), the determination of the histopathologic age of existing continuity disruptions, and particularly the diagnosis of clinically/radiologically undiagnosed diseases, which may be relevant for pathogenesis. In the case of contradictory diagnoses from different diagnostic disciplines and in the case of imprecise and potentially even contradictory patient information, purely legal, judicial decisions may be necessary. In this case the legally binding assessment within the framework of legal evidence evaluation then arises.</p>","PeriodicalId":74402,"journal":{"name":"Pathologie (Heidelberg, Germany)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142309306","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":"[Endometrial carcinoma: molecular classification in routine pathology].","authors":"Udo Siebolts, Birgid Schömig-Markiefka, Janna Siemanowski-Hrach, Sabine Merkelbach-Bruse","doi":"10.1007/s00292-024-01345-2","DOIUrl":"10.1007/s00292-024-01345-2","url":null,"abstract":"<p><p>The molecular classification of endometrial carcinoma defines four main groups: polymerase‑ɛ(PolE) gene mutated, microsatellite unstable (MSI), p53 abnormal tumors and tumors with no specific molecular profile (NSMP). This classification provides significant insights into the prognosis and therapeutic decisions. Each group exhibits unique genetic profiles identified through immunohistochemistry and molecular diagnostics, enabling personalized treatment. The identification of these molecular signatures necessitates precise analytical methods, selected based on the local circumstances at each site. The approach to molecular classification highlights the critical role of pathology in the diagnosis and emphasizes the necessity of collaboration between the clinic and pathology.</p>","PeriodicalId":74402,"journal":{"name":"Pathologie (Heidelberg, Germany)","volume":" ","pages":"347-354"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141977413","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}