Title of article :
Agreement in Histological Assessment of Mitotic Activity Between Microscopy and Digital Whole Slide Images Informs Conversion for Clinical Diagnosis
Author/Authors :
Wei, Bih-Rong Laboratory of Cancer Biology and Genetics - Center for Cancer Research - National Cancer Institute - National Institutes of Health, Bethesda, MD, USA , Halsey, Charles H. Laboratory of Cancer Biology and Genetics - Center for Cancer Research - National Cancer Institute - National Institutes of Health, Bethesda, MD, USA , Hoover, Shelley B. Laboratory of Cancer Biology and Genetics - Center for Cancer Research - National Cancer Institute - National Institutes of Health, Bethesda, MD, USA , Puri, Munish Laboratory of Cancer Biology and Genetics - Center for Cancer Research - National Cancer Institute - National Institutes of Health, Bethesda, MD, USA , Yang, Howard H. Laboratory of Cancer Biology and Genetics - Center for Cancer Research - National Cancer Institute - National Institutes of Health, Bethesda, MD, USA , Gallas, Brandon D. Division of Imaging - Diagnostics, and Software Reliability - Office of Science and Engineering Laboratories, Center for Devices and Radiological Health - US Food and Drug Administration - Silver Spring, MD, USA , Lee, Maxwell P. Laboratory of Cancer Biology and Genetics - Center for Cancer Research - National Cancer Institute - National Institutes of Health, Bethesda, MD, USA , Chen, Weijie Division of Imaging - Diagnostics, and Software Reliability - Office of Science and Engineering Laboratories, Center for Devices and Radiological Health - US Food and Drug Administration - Silver Spring, MD, USA , Durham, Amy C. Department of Pathobiology - University of Pennsylvania, Philadelphia, PA, USA , Dwyer, Jennifer E. Laboratory of Cancer Biology and Genetics - Center for Cancer Research - National Cancer Institute - National Institutes of Health, Bethesda, MD, USA , Sanchez, Melissa D. Department of Pathobiology - University of Pennsylvania, Philadelphia, PA, USA , Traslavina, Ryan P. Section of Infections of the Nervous System - National Institute of Neurological Disorders and Stroke - National Institutes of Health, Bethesda, MD, USA , Frank, Chad Department of Microbiology, Immunology, and Pathology - Colorado State University, Fort Collins, CO, USA , Bradley, Charles Department of Pathobiology - University of Pennsylvania, Philadelphia, PA, USA , McGill, Lawrence D. Animal Reference Pathology - Salt Lake City, UT, USA , Esplin, D. Glen Animal Reference Pathology - Salt Lake City, UT, USA , Schaffer, Paula A. Department of Microbiology, Immunology, and Pathology - Colorado State University - Fort Collins, CO, USA , Cramer, Sarah D. Cancer and Inflammation Program, Center for Cancer Research - National Cancer Institute - National Institutes of Health, Bethesda, MD, USA , Lyle, L. Tiffany Cancer and Inflammation Program, Center for Cancer Research - National Cancer Institute - National Institutes of Health, Bethesda, MD, USA , Beck, Jessica Laboratory of Human Carcinogenesis, Center for Cancer Research - National Cancer Institute - National Institutes of Health, Bethesda, MD, USA , Buza, Elizabeth Department of Pathobiology - University of Pennsylvania, Philadelphia, PA, USA , Gong, Qi Division of Imaging - Diagnostics, and Software Reliability - Office of Science and Engineering Laboratories - Center for Devices and Radiological Health - US Food and Drug Administration, Silver Spring, MD, USA , M. Hewitt, Stephen Laboratory of Pathology - Center for Cancer Researc - National Cancer Institute, National Institutes of Health, Bethesda, MD, USA , Simpson, R. Mark Laboratory of Cancer Biology and Genetics - Center for Cancer Research - National Cancer Institute - National Institutes of Health, Bethesda, MD, USA 2 Halsey, Charles H. Laboratory of Cancer Biology and Genetics - Center for Cancer Research - National Cancer Institute - National Institutes of Health, Bethesda, MD, USA
Pages :
11
From page :
1
To page :
11
Abstract :
Validating digital pathology as substitute for conventional microscopy in diagnosis remains a priority to assure effectiveness. Intermodality concordance studies typically focus on achieving the same diagnosis by digital display of whole slide images and conventional microscopy. Assessment of discrete histological features in whole slide images, such as mitotic figures, has not been thoroughly evaluated in diagnostic practice. To further gauge the interchangeability of conventional microscopy with digital display for primary diagnosis, 12 pathologists examined 113 canine naturally occurring mucosal melanomas exhibiting a wide range of mitotic activity. Design reflected diverse diagnostic settings and investigated independent location, interpretation, and enumeration of mitotic figures. Intermodality agreement was assessed employing conventional microscopy (CM40×), and whole slide image specimens scanned at 20× (WSI20×) and at 40× (WSI40×) objective magnifications. An aggregate 1647 mitotic figure count observations were available from conventional microscopy and whole slide images for comparison. The intraobserver concordance rate of paired observations was 0.785 to 0.801; interobserver rate was 0.784 to 0.794. Correlation coefficients between the 2 digital modes, and as compared to conventional microscopy, were similar and suggest noninferiority among modalities, including whole slide image acquired at lower 20× resolution. As mitotic figure counts serve for prognostic grading of several tumor types, including melanoma, 6 of 8 pathologists retrospectively predicted survival prognosis using whole slide images, compared to 9 of 10 by conventional microscopy, a first evaluation of whole slide image for mitotic figure prognostic grading. This study demonstrated agreement of replicate reads obtained across conventional microscopy and whole slide images. Hence, quantifying mitotic figures served as surrogate histological feature with which to further credential the interchangeability of whole slide images for primary diagnosis
Keywords :
cancer grading , informatics , prognosis , reproducibility study , validation , digital pathology , technology adoption , training
Journal title :
Academic Pathology
Serial Year :
2019
Full Text URL :
Record number :
2613761
Link To Document :
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