Literature DB >> 23199528

Reliability of whole slide images as a diagnostic modality for renal allograft biopsies.

Kuang-Yu Jen1, Jean L Olson, Sergey Brodsky, Xin J Zhou, Tibor Nadasdy, Zoltan G Laszik.   

Abstract

The use of digital whole slide images (WSI) in the field of pathology has become feasible for routine diagnostic purposes and has become more prevalent in recent years. This type of technology offers many advantages but must show the same degree of diagnostic reliability as conventional glass slides. Several studies have examined this issue in various settings and indicate that WSI are a reliable method for diagnostic pathology. Since transplant pathology is a highly specialized field that requires not only accurate but rapid diagnostic evaluation of biopsy materials, this field may greatly benefit from the use of WSI. In this study, we assessed the reliability of using WSI compared to conventional glass slides in renal allograft biopsies. We examined morphologic features and diagnostic categories defined by the Banff 07 Classification of Renal Allograft Pathology as well as additional morphologic features not included in this classification scheme. We found that intraobserver scores, when comparing the use of glass slides versus WSI, showed substantial agreement for both morphologic features (κ = 0.68) and acute rejection diagnostic categories (κ = 0.74). Furthermore, interobserver reliability was comparable for morphologic features (κ = 0.44 [glass] vs 0.42 [WSI]) and acute rejection diagnostic categories (κ = 0.49 [glass] vs 0.51 [WSI]). These data indicate that WSI are as reliable as glass slides for the evaluation of renal allograft biopsies.
Copyright © 2013 Elsevier Inc. All rights reserved.

Mesh:

Year:  2012        PMID: 23199528     DOI: 10.1016/j.humpath.2012.08.015

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  20 in total

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Authors:  Cynthia C Nast; Kevin V Lemley; Jeffrey B Hodgin; Serena Bagnasco; Carmen Avila-Casado; Stephen M Hewitt; Laura Barisoni
Journal:  Semin Nephrol       Date:  2015-05       Impact factor: 5.299

2.  Using computer-assisted morphometrics of 5-year biopsies to identify biomarkers of late renal allograft loss.

Authors:  Aleksandar Denic; Martha C Morales; Walter D Park; Byron H Smith; Walter K Kremers; Mariam P Alexander; Fernando G Cosio; Andrew D Rule; Mark D Stegall
Journal:  Am J Transplant       Date:  2019-05-06       Impact factor: 8.086

Review 3.  The Empirical Foundations of Telepathology: Evidence of Feasibility and Intermediate Effects.

Authors:  Rashid L Bashshur; Elizabeth A Krupinski; Ronald S Weinstein; Matthew R Dunn; Noura Bashshur
Journal:  Telemed J E Health       Date:  2017-02-07       Impact factor: 3.536

Review 4.  Enhancing the Value of Histopathological Assessment of Allograft Biopsy Monitoring.

Authors:  Michelle A Wood-Trageser; Andrew J Lesniak; Anthony J Demetris
Journal:  Transplantation       Date:  2019-07       Impact factor: 4.939

5.  Reproducibility of the NEPTUNE descriptor-based scoring system on whole-slide images and histologic and ultrastructural digital images.

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Journal:  Mod Pathol       Date:  2016-04-22       Impact factor: 7.842

Review 6.  Digital pathology in nephrology clinical trials, research, and pathology practice.

Authors:  Laura Barisoni; Jeffrey B Hodgin
Journal:  Curr Opin Nephrol Hypertens       Date:  2017-11       Impact factor: 2.894

7.  Reproducibility and Feasibility of Strategies for Morphologic Assessment of Renal Biopsies Using the Nephrotic Syndrome Study Network Digital Pathology Scoring System.

Authors:  Jarcy Zee; Jeffrey B Hodgin; Laura H Mariani; Joseph P Gaut; Matthew B Palmer; Serena M Bagnasco; Avi Z Rosenberg; Stephen M Hewitt; Lawrence B Holzman; Brenda W Gillespie; Laura Barisoni
Journal:  Arch Pathol Lab Med       Date:  2018-02-19       Impact factor: 5.534

8.  Automated Computational Detection of Interstitial Fibrosis, Tubular Atrophy, and Glomerulosclerosis.

Authors:  Brandon Ginley; Kuang-Yu Jen; Seung Seok Han; Luís Rodrigues; Sanjay Jain; Agnes B Fogo; Jonathan Zuckerman; Vighnesh Walavalkar; Jeffrey C Miecznikowski; Yumeng Wen; Felicia Yen; Donghwan Yun; Kyung Chul Moon; Avi Rosenberg; Chirag Parikh; Pinaki Sarder
Journal:  J Am Soc Nephrol       Date:  2021-02-23       Impact factor: 10.121

9.  Whole slide images for primary diagnostics of urinary system pathology: a feasibility study.

Authors:  Shaimaa Al-Janabi; André Huisman; Geertruida N Jonges; Fiebo J W Ten Kate; Roel Goldschmeding; Paul J van Diest
Journal:  J Renal Inj Prev       Date:  2014-12-01

10.  Clinical and pathological correlates of severity classifications in trigger fingers based on computer-aided image analysis.

Authors:  Tai-Hua Yang; Hsin-Chen Chen; Yung-Chun Liu; Hui-Hsuan Shih; Li-Chieh Kuo; Stephen Cha; Hsiao-Bai Yang; Dee-Shan Yang; I-Ming Jou; Yung-Nien Sun; Fong-Chin Su
Journal:  Biomed Eng Online       Date:  2014-07-23       Impact factor: 2.819

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