Department of Biomedical Engineering, Emory University and Georgia Institute of Technology, Atlanta, Georgia.
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 Hospital of Geneva, Geneva, Switzerland.
Lab Invest. 2023 Dec;103(12):100265. doi: 10.1016/j.labinv.2023.100265. Epub 2023 Oct 18.
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.
前列腺癌的预后在很大程度上依赖于在显微镜下观察少数薄切片活检标本,以确定格里森分级组(GG)。不幸的是,分配的 GG 并不总是与患者的结果相关,部分原因是二维组织病理学对空间异质性肿瘤的有限采样。在这项研究中,采用开放式光片显微镜获得了三维病理学数据集,由 4 名人类读者进行评估。通过要求读者对 20 个核心针活检中的每个活检进行 5 个不同级别的格里森分级(即总共 100 个图像),评估了活检内的变异性。活检内的变异性(Cohen κ)计算为每个活检内各级之间最差的 GG 配对一致性,4 名病理学家的结果分别为 0.34、0.34、0.38 和 0.43。这些初步结果表明,即使在 1 毫米直径的针芯内,基于二维图像的 GG 也会因分析活检内的位置而异。我们相信,对整个活检进行三维形态评估有可能实现更可靠和一致的肿瘤分级。