Digital breast pathology: validation and training for primary digital practice |
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Institution: | 1. Department of Radiology, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin''s Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.;2. Department of Breast Imaging, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin''s Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.;3. Department of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin''s Clinical Research Center for Cancer, Tianjin, China. |
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Abstract: | Digital pathology is a technology which is transforming the way in which breast histopathology specimens are assessed, reported and reviewed. Large scale clinical laboratory deployments of whole slide imaging systems are occurring in diagnostic pathology departments across the world, requiring laboratory and diagnostic staff to navigate new skills and workflows. Transferring from conventional light microscopy assessment of breast specimens to the use of whole slide images (WSI) can be a challenging experience. This article describes an approach to training and validation for breast consultant histopathologists, which has been used and adapted at a number of sites. Examples of types of case that are suitable for training, and some of the potential “pitfalls” of digital reporting for the novice are described, and practical advice regarding clinical digital breast workflow is shared. |
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Keywords: | breast pathology digital pathology training validation whole slide imaging |
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