Literature DB >> 26547252

Digital reporting of whole-slide images is safe and suitable for assessing organ quality in preimplantation renal biopsies.

Albino Eccher1, Desley Neil2, Andrea Ciangherotti3, Luca Cima4, Luigino Boschiero5, Guido Martignoni6, Claudio Ghimenton7, Marco Chilosi8, Luca Giobelli9, Laura Zampicinini10, Marilena Casartelli11, Matteo Brunelli12.   

Abstract

Digital pathology allows networks of "remote" specialist pathologists to report the findings of preimplantation kidney biopsies. We sought to validate the assessment of preimplantation kidney transplant biopsies for diagnostic purposes using whole-slide images according to the recommendations of the College of American Pathologists. Sixty-two consecutive, previously reported, preimplantation kidney biopsies were scanned using the ScanScope Digital Slide Scanner at 0.5 μm/pixel (20× objective). The slides were assessed for percent glomerulosclerosis, tubular atrophy, interstitial fibrosis and vascular narrowing using the Remuzzi criteria by two pathologists, one using glass slides and the other using the whole-slide images viewed on a widescreen computer monitor. After a 2-week washout period, all of the slides were re-assessed by the same pathologists using the opposite mode of reporting to that used in the first evaluation. Very high glass-digital intraobserver concordance was achieved for the overall score and for individual grades by both pathologists (κ range, 0.841-0.973). The overall scores obtained by both pathologists and using both methods were identical. The times needed to assess the biopsies were 14 minutes when using a light microscope and 18 minutes, including scanning time, which averaged 2 minutes 20 seconds per slide, when using digital microscopy. Digital microscopy is a reliable, fast, and safe method for the assessment of preimplantation kidney biopsies.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Digital pathology; Donor; Kidney biopsies; Organ quality; Transplantation

Mesh:

Year:  2015        PMID: 26547252     DOI: 10.1016/j.humpath.2015.09.012

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


  17 in total

Review 1.  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

2.  Evaluating tubulointerstitial compartments in renal biopsy specimens using a deep learning-based approach for classifying normal and abnormal tubules.

Authors:  Satoshi Hara; Emi Haneda; Masaki Kawakami; Kento Morita; Ryo Nishioka; Takeshi Zoshima; Mitsuhiro Kometani; Takashi Yoneda; Mitsuhiro Kawano; Shigehiro Karashima; Hidetaka Nambo
Journal:  PLoS One       Date:  2022-07-11       Impact factor: 3.752

3.  Technical and Diagnostic Issues in Whole Slide Imaging Published Validation Studies.

Authors:  Paola Chiara Rizzo; Ilaria Girolami; Stefano Marletta; Liron Pantanowitz; Pietro Antonini; Matteo Brunelli; Nicola Santonicco; Paola Vacca; Nicola Tumino; Lorenzo Moretta; Anil Parwani; Swati Satturwar; Albino Eccher; Enrico Munari
Journal:  Front Oncol       Date:  2022-06-16       Impact factor: 5.738

Review 4.  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

5.  Digital Slides as an Effective Tool for Programmed Death Ligand 1 Combined Positive Score Assessment and Training: Lessons Learned from the "Programmed Death Ligand 1 Key Learning Program in Head-and-Neck Squamous Cell Carcinoma".

Authors:  Albino Eccher; Gabriella Fontanini; Nicola Fusco; Ilaria Girolami; Paolo Graziano; Elena Guerini Rocco; Maurizio Martini; Patrizia Morbini; Liron Pantanowitz; Anil Parwani; Anna Maria Pisano; Giancarlo Troncone; Elena Vigliar
Journal:  J Pathol Inform       Date:  2021-01-08

Review 6.  The Landscape of Digital Pathology in Transplantation: From the Beginning to the Virtual E-Slide.

Authors:  Ilaria Girolami; Anil Parwani; Valeria Barresi; Stefano Marletta; Serena Ammendola; Lavinia Stefanizzi; Luca Novelli; Arrigo Capitanio; Matteo Brunelli; Liron Pantanowitz; Albino Eccher
Journal:  J Pathol Inform       Date:  2019-07-01

7.  Commentary: Impact of Digital Pathology in the Field of Intraoperative Neuropathology: Master the Tool.

Authors:  Albino Eccher; Ilaria Girolami
Journal:  J Pathol Inform       Date:  2020-07-16

8.  Commentary: The Digital Fate of Glomeruli in Renal Biopsy.

Authors:  Ilaria Girolami; Stefano Marletta; Albino Eccher
Journal:  J Pathol Inform       Date:  2021-03-22

9.  An Expandable Informatics Framework for Enhancing Central Cancer Registries with Digital Pathology Specimens, Computational Imaging Tools, and Advanced Mining Capabilities.

Authors:  David J Foran; Eric B Durbin; Wenjin Chen; Evita Sadimin; Ashish Sharma; Imon Banerjee; Tahsin Kurc; Nan Li; Antoinette M Stroup; Gerald Harris; Annie Gu; Maria Schymura; Rajarsi Gupta; Erich Bremer; Joseph Balsamo; Tammy DiPrima; Feiqiao Wang; Shahira Abousamra; Dimitris Samaras; Isaac Hands; Kevin Ward; Joel H Saltz
Journal:  J Pathol Inform       Date:  2022-01-05

10.  Whole Slide Imaging Versus Microscopy for Primary Diagnosis in Surgical Pathology: A Multicenter Blinded Randomized Noninferiority Study of 1992 Cases (Pivotal Study).

Authors:  Sanjay Mukhopadhyay; Michael D Feldman; Esther Abels; Raheela Ashfaq; Senda Beltaifa; Nicolas G Cacciabeve; Helen P Cathro; Liang Cheng; Kumarasen Cooper; Glenn E Dickey; Ryan M Gill; Robert P Heaton; René Kerstens; Guy M Lindberg; Reenu K Malhotra; James W Mandell; Ellen D Manlucu; Anne M Mills; Stacey E Mills; Christopher A Moskaluk; Mischa Nelis; Deepa T Patil; Christopher G Przybycin; Jordan P Reynolds; Brian P Rubin; Mohammad H Saboorian; Mauricio Salicru; Mark A Samols; Charles D Sturgis; Kevin O Turner; Mark R Wick; Ji Y Yoon; Po Zhao; Clive R Taylor
Journal:  Am J Surg Pathol       Date:  2018-01       Impact factor: 6.394

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