Literature DB >> 29893996

Validation of a whole-slide image-based teleconsultation network.

Alexi Baidoshvili1, Nikolas Stathonikos2, Gerard Freling1, Jos Bart3, Nils 't Hart3,4, Jeroen van der Laak5, Jan Doff4, Bert van der Vegt4, Philip M Kluin4, Paul J van Diest2.   

Abstract

AIMS: Most validation studies on digital pathology diagnostics have been performed in single institutes. Because rapid consultation on cases with extramural experts is one of the most important uses for digital pathology laboratory networks, the aim of this study was to validate a whole-slide image-based teleconsultation network between three independent laboratories. METHODS AND
RESULTS: Each laboratory contributed 30 biopsies and/or excisions, totalling 90 specimens (776 slides) of varying difficulty and covering a wide variety of organs and subspecialties. All slides were scanned centrally at ×40 scanning magnification and uploaded, and subsequently assessed digitally by 16 pathologists using the same image management system and viewer. Each laboratory was excluded from digital assessment of their own cases. Concordance rates between the two diagnostic modalities (light microscopic versus digital) were compared. Loading speed of the images, zooming latency and focus quality were scored. Leaving out eight minor discrepancies without any clinical significance, the concordance rate between remote digital and original microscopic diagnoses was 97.8%. The two cases with a major discordance (for which the light microscopic diagnoses were deemed to be the better ones) resulted from a different interpretation of diagnostic criteria in one case and an image quality issue in the other case. Average scores for loading speed of the images, zooming latency and focus quality were 2.37 (on a scale up to 3), 2.39 (scale up to 3) and 3.06 (scale up to 4), respectively.
CONCLUSIONS: This validation study demonstrates the suitability of a teleconsultation network for remote digital consultation using whole-slide images. Such networks may contribute to faster revision and consultation in pathology while maintaining diagnostic standards.
© 2018 John Wiley & Sons Ltd.

Keywords:  digital network; digital pathology; remote teleconsultation; teleconsultation network

Mesh:

Year:  2018        PMID: 29893996     DOI: 10.1111/his.13673

Source DB:  PubMed          Journal:  Histopathology        ISSN: 0309-0167            Impact factor:   5.087


  5 in total

1.  Stain normalization in digital pathology: Clinical multi-center evaluation of image quality.

Authors:  Nicola Michielli; Alessandro Caputo; Manuela Scotto; Alessandro Mogetta; Orazio Antonino Maria Pennisi; Filippo Molinari; Davide Balmativola; Martino Bosco; Alessandro Gambella; Jasna Metovic; Daniele Tota; Laura Carpenito; Paolo Gasparri; Massimo Salvi
Journal:  J Pathol Inform       Date:  2022-09-24

2.  Pathology Image Exchange: The Dutch Digital Pathology Platform for Exchange of Whole-Slide Images for Efficient Teleconsultation, Telerevision, and Virtual Expert Panels.

Authors:  Paul J van Diest; André Huisman; Jaap van Ekris; Jos Meijer; Stefan Willems; Hannelore Hofhuis; Xander Verbeek; Myrtle van der Wel; Shoko Vos; Roos Leguit; Michiel van den Brand; Konnie Hebeda; Katrien Grünberg
Journal:  JCO Clin Cancer Inform       Date:  2019-06

Review 3.  A narrative review of digital pathology and artificial intelligence: focusing on lung cancer.

Authors:  Taro Sakamoto; Tomoi Furukawa; Kris Lami; Hoa Hoang Ngoc Pham; Wataru Uegami; Kishio Kuroda; Masataka Kawai; Hidenori Sakanashi; Lee Alex Donald Cooper; Andrey Bychkov; Junya Fukuoka
Journal:  Transl Lung Cancer Res       Date:  2020-10

4.  Virtual Microscopy in Undergraduate Pathology Education: An early transformative experience in clinical reasoning.

Authors:  Ritu Lakhtakia
Journal:  Sultan Qaboos Univ Med J       Date:  2021-08-29

Review 5.  Digital pathology and computational image analysis in nephropathology.

Authors:  Laura Barisoni; Kyle J Lafata; Stephen M Hewitt; Anant Madabhushi; Ulysses G J Balis
Journal:  Nat Rev Nephrol       Date:  2020-08-26       Impact factor: 28.314

  5 in total

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