Agreement in Histological Assessment of Mitotic Activity Between Microscopy and Digital Whole Slide Images Informs Conversion for Clinical Diagnosis
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 discre...
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2019-07-01
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| Series: | Academic Pathology |
| Online Access: | https://doi.org/10.1177/2374289519859841 |
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Article |
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DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Bih-Rong Wei PhD Charles H. Halsey DVM, PhD Shelley B. Hoover BS Munish Puri PhD Howard H. Yang PhD Brandon D. Gallas PhD Maxwell P. Lee PhD Weijie Chen PhD Amy C. Durham MS, VMD Jennifer E. Dwyer MS Melissa D. Sánchez VMD, PhD Ryan P. Traslavina DVM Chad Frank MS, DVM Charles Bradley VMD Lawrence D. McGill DVM, PhD D. Glen Esplin DVM, PhD Paula A. Schaffer DVM, MS Sarah D. Cramer DVM, PhD L. Tiffany Lyle DVM, PhD Jessica Beck DVM Elizabeth Buza DVM Qi Gong MS Stephen M. Hewitt MD, PhD R. Mark Simpson DVM, PhD |
| spellingShingle |
Bih-Rong Wei PhD Charles H. Halsey DVM, PhD Shelley B. Hoover BS Munish Puri PhD Howard H. Yang PhD Brandon D. Gallas PhD Maxwell P. Lee PhD Weijie Chen PhD Amy C. Durham MS, VMD Jennifer E. Dwyer MS Melissa D. Sánchez VMD, PhD Ryan P. Traslavina DVM Chad Frank MS, DVM Charles Bradley VMD Lawrence D. McGill DVM, PhD D. Glen Esplin DVM, PhD Paula A. Schaffer DVM, MS Sarah D. Cramer DVM, PhD L. Tiffany Lyle DVM, PhD Jessica Beck DVM Elizabeth Buza DVM Qi Gong MS Stephen M. Hewitt MD, PhD R. Mark Simpson DVM, PhD Agreement in Histological Assessment of Mitotic Activity Between Microscopy and Digital Whole Slide Images Informs Conversion for Clinical Diagnosis Academic Pathology |
| author_facet |
Bih-Rong Wei PhD Charles H. Halsey DVM, PhD Shelley B. Hoover BS Munish Puri PhD Howard H. Yang PhD Brandon D. Gallas PhD Maxwell P. Lee PhD Weijie Chen PhD Amy C. Durham MS, VMD Jennifer E. Dwyer MS Melissa D. Sánchez VMD, PhD Ryan P. Traslavina DVM Chad Frank MS, DVM Charles Bradley VMD Lawrence D. McGill DVM, PhD D. Glen Esplin DVM, PhD Paula A. Schaffer DVM, MS Sarah D. Cramer DVM, PhD L. Tiffany Lyle DVM, PhD Jessica Beck DVM Elizabeth Buza DVM Qi Gong MS Stephen M. Hewitt MD, PhD R. Mark Simpson DVM, PhD |
| author_sort |
Bih-Rong Wei PhD |
| title |
Agreement in Histological Assessment of Mitotic Activity Between Microscopy and Digital Whole Slide Images Informs Conversion for Clinical Diagnosis |
| title_short |
Agreement in Histological Assessment of Mitotic Activity Between Microscopy and Digital Whole Slide Images Informs Conversion for Clinical Diagnosis |
| title_full |
Agreement in Histological Assessment of Mitotic Activity Between Microscopy and Digital Whole Slide Images Informs Conversion for Clinical Diagnosis |
| title_fullStr |
Agreement in Histological Assessment of Mitotic Activity Between Microscopy and Digital Whole Slide Images Informs Conversion for Clinical Diagnosis |
| title_full_unstemmed |
Agreement in Histological Assessment of Mitotic Activity Between Microscopy and Digital Whole Slide Images Informs Conversion for Clinical Diagnosis |
| title_sort |
agreement in histological assessment of mitotic activity between microscopy and digital whole slide images informs conversion for clinical diagnosis |
| publisher |
SAGE Publishing |
| series |
Academic Pathology |
| issn |
2374-2895 |
| publishDate |
2019-07-01 |
| description |
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. |
| url |
https://doi.org/10.1177/2374289519859841 |
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doaj-5fda47df28cb483994b0c7c61cbbc9492020-11-25T03:24:45ZengSAGE PublishingAcademic Pathology2374-28952019-07-01610.1177/2374289519859841Agreement in Histological Assessment of Mitotic Activity Between Microscopy and Digital Whole Slide Images Informs Conversion for Clinical DiagnosisBih-Rong Wei PhD0Charles H. Halsey DVM, PhD1Shelley B. Hoover BS2Munish Puri PhD3Howard H. Yang PhD4Brandon D. Gallas PhD5Maxwell P. Lee PhD6Weijie Chen PhD7Amy C. Durham MS, VMD8Jennifer E. Dwyer MS9Melissa D. Sánchez VMD, PhD10Ryan P. Traslavina DVM11Chad Frank MS, DVM12Charles Bradley VMD13Lawrence D. McGill DVM, PhD14D. Glen Esplin DVM, PhD15Paula A. Schaffer DVM, MS16Sarah D. Cramer DVM, PhD17L. Tiffany Lyle DVM, PhD18Jessica Beck DVM19Elizabeth Buza DVM20Qi Gong MS21Stephen M. Hewitt MD, PhD22R. Mark Simpson DVM, PhD23 Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD, USA Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA 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 Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA 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 Department of Pathobiology, University of Pennsylvania, Philadelphia, PA, USA Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA Department of Pathobiology, University of Pennsylvania, Philadelphia, PA, USA Section of Infections of the Nervous System, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO, USA Department of Pathobiology, University of Pennsylvania, Philadelphia, PA, USA Animal Reference Pathology, Salt Lake City, UT, USA Animal Reference Pathology, Salt Lake City, UT, USA Department of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, CO, USA Cancer and Inflammation Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA Women’s Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA Department of Pathobiology, University of Pennsylvania, Philadelphia, PA, USA 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 Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USAValidating 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.https://doi.org/10.1177/2374289519859841 |