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[Meeting of the Gastroenteropathology Working Group on 10 June 2021 : 105th annual conference of the German Society of Pathology, online conference]. [2021年6月10日胃肠病理学工作组会议:德国病理学会第105届年会，在线会议]。
4区 医学 Q3 Medicine
Pathologe
Pub Date : 2021-12-01 Epub Date: 2021-10-20 DOI: 10.1007/s00292-021-01008-6
Hendrik Bläker
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引用次数: 0
[Development of a cooperative autopsy network of pathology, neuropathology and forensic medicine]. [病理学、神经病理学和法医学合作尸检网络的发展]。
4区 医学 Q3 Medicine
Pathologe
Pub Date : 2021-12-01 DOI: 10.1007/s00292-021-01004-w
Saskia von Stillfried, Peter Boor

Background: Autopsies are an important tool for understanding novel diseases, including COVID-19.

Materials and methods: The German Registry of COVID-19 Autopsies (DeRegCOVID) was established and launched in April 2020. DeRegCOVID acts as the electronic backbone of the German Network for Autopsies in Pandemics (DEFEAT PANDEMIcs), which started in September 2020.

Results: The results of DeRegCOVID and DEFEAT PANDEMIcs are characterized by an unprecedented collaboration of more than 35 university and non-university autopsy centers linking pathological, neuropathological, and forensic medicine institutes. DeRegCOVID has evolved, adapted to new challenges, and currently contains the largest international autopsy dataset. After only a short period of operation, more than 80 publications have been produced, which have contributed to the understanding of the pathogenesis of COVID-19, e.g., through the discovery of thromboembolic events, multiorgan tropism, and NeuroCovid-19. The autopsy centers have carried out extensive educational work and, beyond the scientific gain in knowledge, have explained to politicians and the general public the essential role of autopsies in pandemic management. To further develop autopsy-driven research, a continuation of DEFEAT PANDEMIcs was conceived, the National Autopsy Network (NATON).

Conclusions: The registry and network, in which all interested centers can participate, have demonstrated the value of networked medical research and the high value of autopsy for medicine.

背景:尸检是了解新型疾病(包括COVID-19)的重要工具。材料和方法:德国COVID-19尸检登记处(DeRegCOVID)于2020年4月成立并启动。“解除covid”是德国流行病尸检网络(DEFEAT pandemic)的电子骨干，该网络于2020年9月启动。结果:“解除covid”和“战胜流行病”的成果特点是，超过35所大学和非大学尸检中心将病理学、神经病理学和法医学研究所联系起来，进行了前所未有的合作。“解除covid”已经发展，适应了新的挑战，目前包含最大的国际解剖数据集。仅在短时间的手术后，就发表了80多篇论文，这些论文有助于了解COVID-19的发病机制，例如通过发现血栓栓塞事件、多器官趋向性和神经COVID-19。尸检中心开展了广泛的教育工作，除了科学知识的增长之外，还向政治家和公众解释了尸检在大流行管理中的重要作用。为了进一步发展以尸检为导向的研究，设想了“战胜流行病”的延续，即国家尸检网络(National Autopsy Network, NATON)。结论:所有感兴趣的中心都可以参与的登记和网络，证明了网络化医学研究的价值和尸检医学的高价值。
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引用次数: 0
Satzung der Deutschen Gesellschaft für Pathologie e. V. 德国病理学协会章程
4区 医学 Q3 Medicine
Pathologe
Pub Date : 2021-12-01 DOI: 10.1007/s00292-021-01033-5
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引用次数: 0
[Report of the scientific meeting of the Informatics Working Group : Virtual Pathology Days of the DGP 2021]. [信息学工作组科学会议报告:2021年DGP虚拟病理日]。
4区 医学 Q3 Medicine
Pathologe
Pub Date : 2021-12-01 Epub Date: 2021-11-30 DOI: 10.1007/s00292-021-01021-9
Norman Zerbe
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引用次数: 0
[Updated WHO classification of tumors of the breast]. [更新世卫组织乳腺肿瘤分类]。
4区 医学 Q3 Medicine
Pathologe
Pub Date : 2021-12-01 Epub Date: 2021-11-09 DOI: 10.1007/s00292-021-01019-3
Annette Lebeau

In the fifth edition of the World Health Organization (WHO) classification of tumors of the breast, the histological features of the lesions continue to form the basis of the classification; however, molecular pathology nowadays provides approaches for improved diagnostics and prediction of prognosis and treatment response, which have been incorporated into the update of the classification. The most important changes are presented, which include changes in the histological classification of invasive carcinomas, the subtyping of lobular carcinoma in situ (LCIS) and the dignity criteria of phyllodes tumors.

在世界卫生组织(WHO)第五版乳腺肿瘤分类中，病变的组织学特征继续构成分类的基础;然而，分子病理学如今为改进诊断和预测预后和治疗反应提供了途径，这些已被纳入分类的更新。其中最重要的变化包括浸润性癌的组织学分类、小叶原位癌(LCIS)的亚型和叶状肿瘤的尊严标准的变化。
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引用次数: 4
[Report of the Heart, Vascular, Kidney, and Transplant Pathology Working Group]. [心脏、血管、肾脏和移植病理工作组报告]。
4区 医学 Q3 Medicine
Pathologe
Pub Date : 2021-12-01 Epub Date: 2021-09-10 DOI: 10.1007/s00292-021-00983-0
R M Bohle, J Wohlschläger, H A Baba
{"title":"[Report of the Heart, Vascular, Kidney, and Transplant Pathology Working Group].","authors":"R M Bohle,&nbsp;J Wohlschläger,&nbsp;H A Baba","doi":"10.1007/s00292-021-00983-0","DOIUrl":"https://doi.org/10.1007/s00292-021-00983-0","url":null,"abstract":"","PeriodicalId":54641,"journal":{"name":"Pathologe","volume":" ","pages":"186-187"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8431255/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39404481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Report of the Dermatopathology Working Group meeting during the Virtual Pathology Days of the DGP 2021, Berlin : 8 June 2021 at 7:00 p.m. s.t.] [2021年DGP虚拟病理日期间皮肤病理学工作组会议报告，柏林:2021年6月8日下午7:00 s.t]
4区 医学 Q3 Medicine
Pathologe
Pub Date : 2021-12-01 Epub Date: 2021-11-23 DOI: 10.1007/s00292-021-01027-3
E Bierhoff, D Metze
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引用次数: 0
[EMPAIA-ecosystem for pathology diagnostics with AI assistance]. [empaia -人工智能辅助病理诊断生态系统]。
4区 医学 Q3 Medicine
Pathologe
Pub Date : 2021-12-01 Epub Date: 2021-12-17 DOI: 10.1007/s00292-021-01029-1
Peter Hufnagl

Applications of deep learning and other artificial intelligence techniques play an increasing role in pathological research. In contrast to research, applications in clinical routine are rare so far, although the first certified solutions have already been established (analysis of prostate sections, ER, PR, and Her2 in breast cancer). Besides the still low use of virtual microscopy in practice, there are a number of hurdles that stand in the way of a rapid diffusion of AI applications. The EMPAIA project has a goal of removing these hurdles. The path taken to build an ecosystem for this purpose is intended to exemplify that the introduction of AI applications in image-based diagnostics is possible on a broad basis if the existing hurdles are removed in a joint, moderated process. The components of the EMPAIA ecosystem and its strategy will be described, and reference will be made to the technical solution approaches.

深度学习和其他人工智能技术在病理研究中的应用越来越重要。与研究相比，迄今为止在临床常规中的应用很少，尽管已经建立了第一个经过认证的解决方案(分析前列腺切片，ER, PR和乳腺癌中的Her2)。除了虚拟显微镜在实践中的使用率仍然很低之外，还有许多障碍阻碍着人工智能应用的快速传播。EMPAIA项目的目标是消除这些障碍。为此目的建立生态系统的路径旨在证明，如果在一个共同的、适度的过程中消除现有障碍，人工智能应用在基于图像的诊断中的广泛应用是可能的。将描述EMPAIA生态系统的组成部分及其战略，并参考技术解决方法。
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引用次数: 2
[Report of the meeting of the Gynecological and Breast Pathology Group on June 9, 2021 : The DGP Virtual Pathology Days 2021]. 【2021年6月9日妇科和乳腺病理组会议报告:2021年DGP虚拟病理日】。
4区 医学 Q3 Medicine
Pathologe
Pub Date : 2021-12-01 Epub Date: 2021-09-01 DOI: 10.1007/s00292-021-00981-2
Doris Mayr
{"title":"[Report of the meeting of the Gynecological and Breast Pathology Group on June 9, 2021 : The DGP Virtual Pathology Days 2021].","authors":"Doris Mayr","doi":"10.1007/s00292-021-00981-2","DOIUrl":"https://doi.org/10.1007/s00292-021-00981-2","url":null,"abstract":"","PeriodicalId":54641,"journal":{"name":"Pathologe","volume":" ","pages":"182-183"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39373417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
[Virtual Pathology Days of the German Society for Pathology 2021-a review]. [德国病理学学会 2021 年虚拟病理学日--回顾]。
4区 医学 Q3 Medicine
Pathologe
Pub Date : 2021-12-01 Epub Date: 2021-12-22 DOI: 10.1007/s00292-021-01030-8
Beatrix Zeller, Gustavo Baretton
{"title":"[Virtual Pathology Days of the German Society for Pathology 2021-a review].","authors":"Beatrix Zeller, Gustavo Baretton","doi":"10.1007/s00292-021-01030-8","DOIUrl":"10.1007/s00292-021-01030-8","url":null,"abstract":"","PeriodicalId":54641,"journal":{"name":"Pathologe","volume":" ","pages":"119-121"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8692824/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39609059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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