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Visual Assessment of 2-Dimensional Levels Within 3-Dimensional Pathology Data Sets of Prostate Needle Biopsies Reveals Substantial Spatial Heterogeneity.
Koyuncu, Can; Janowczyk, Andrew; Farre, Xavier; Pathak, Tilak; Mirtti, Tuomas; Fernandez, Pedro L; Pons, Laura; Reder, Nicholas P; Serafin, Robert; Chow, Sarah S L; Viswanathan, Vidya S; Glaser, Adam K; True, Lawrence D; Liu, Jonathan T C; Madabhushi, Anant.
Afiliación
  • Koyuncu C; Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia.
  • Janowczyk A; Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia; Department of Oncology, Division of Precision Oncology, University Hospital of Geneva, Geneva, Switzerland; Department of Clinical Pathology, Division of Clinical Pathology, University Hospi
  • Farre X; Public Health Agency of Catalonia, Lleida, Catalonia, Spain.
  • Pathak T; Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia.
  • Mirtti T; Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia; Department of Pathology, University of Helsinki and Helsinki University, Hospital, Helsinki, Finland; Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsi
  • Fernandez PL; Department of Pathology, Hospital Germans Trias i Pujol, IGTP, Universidad Autonoma de Barcelona, Barcelona, Spain.
  • Pons L; Department of Pathology, Hospital Germans Trias i Pujol, IGTP, Barcelona, Spain.
  • Reder NP; Department of Mechanical Engineering, University of Washington, Seattle, Washington; Department of Laboratory Medicine & Pathology, University of Washington, Seattle, Washington.
  • Serafin R; Department of Mechanical Engineering, University of Washington, Seattle, Washington.
  • Chow SSL; Department of Mechanical Engineering, University of Washington, Seattle, Washington.
  • Viswanathan VS; Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia.
  • Glaser AK; Department of Mechanical Engineering, University of Washington, Seattle, Washington.
  • True LD; Department of Laboratory Medicine & Pathology, University of Washington, Seattle, Washington; Department of Urology, University of Washington, Seattle, Washington.
  • Liu JTC; Department of Mechanical Engineering, University of Washington, Seattle, Washington; Department of Laboratory Medicine & Pathology, University of Washington, Seattle, Washington; Department of Bioengineering, University of Washington, Seattle, Washington.
  • Madabhushi A; Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia; Atlanta VA Medical Center, Atlanta, Georgia. Electronic address: anantm@emory.edu.
Lab Invest ; 103(12): 100265, 2023 12.
Article en En | MEDLINE | ID: mdl-37858679
Prostate cancer prognostication largely relies on visual assessment of a few thinly sectioned biopsy specimens under a microscope to assign a Gleason grade group (GG). Unfortunately, the assigned GG is not always associated with a patient's outcome in part because of the limited sampling of spatially heterogeneous tumors achieved by 2-dimensional histopathology. In this study, open-top light-sheet microscopy was used to obtain 3-dimensional pathology data sets that were assessed by 4 human readers. Intrabiopsy variability was assessed by asking readers to perform Gleason grading of 5 different levels per biopsy for a total of 20 core needle biopsies (ie, 100 total images). Intrabiopsy variability (Cohen κ) was calculated as the worst pairwise agreement in GG between individual levels within each biopsy and found to be 0.34, 0.34, 0.38, and 0.43 for the 4 pathologists. These preliminary results reveal that even within a 1-mm-diameter needle core, GG based on 2-dimensional images can vary dramatically depending on the location within a biopsy being analyzed. We believe that morphologic assessment of whole biopsies in 3 dimension has the potential to enable more reliable and consistent tumor grading.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Próstata / Neoplasias de la Próstata Límite: Humans / Male Idioma: En Revista: Lab Invest Año: 2023 Tipo del documento: Article País de afiliación: Georgia Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Próstata / Neoplasias de la Próstata Límite: Humans / Male Idioma: En Revista: Lab Invest Año: 2023 Tipo del documento: Article País de afiliación: Georgia Pais de publicación: Estados Unidos