Literature DB >> 32840673

Discrepancies in digital hematopathology diagnoses for consultation and expert panel analysis.

Michiel van den Brand1,2, Peet T G A Nooijen3, Kimberly D van der Laan4, Peter C de Bruin5, A M Gijs van Leeuwen3, Jan Willem Leeuwis6, Jos W Meijer6, Irene Otte-Höller4, Konnie M Hebeda4.   

Abstract

Digital pathology with whole-slide imaging (WSI) has a large potential to make the process of expert consultation and expert panel diagnosis more rapid and more efficient. However, comparison with the current methods is necessary for validation of the technique. In this study, we determined if digital assessment of whole-slide images of hematopathology specimens with a focus on the assessment of lymphoma can be used for consultation and panel diagnostics. Ninety-three histological specimens with a suspicion for lymphoma were assessed both with conventional microscopy and digital microscopy with a wash out period between assessments. A consensus diagnosis was based on full concordance between the pathologists or, in case of discordances, was reached at a joint session at a multi-headed microscope. In 81% of the cases, there was a full concordance between digital and light microscopical assessment for all three pathologists. Discordances between conventional microscopy and digital pathology were present in 3% of assessments. In comparison with the consensus diagnosis, discordant diagnoses were made in 5 cases with digital microscopy and in 3 cases with light microscopy. The reported level of confidence and need for additional investigations were similar between assessment by conventional and by digital microscopy. In conclusion, the performance of assessment by digital pathology is in general comparable with that of conventional light microscopy and pathologists feel confident using digital pathology for this subspecialty.

Entities:  

Keywords:  Consultation; Digital pathology; Hematopathology; Lymphoma

Mesh:

Year:  2020        PMID: 32840673      PMCID: PMC7973407          DOI: 10.1007/s00428-020-02907-4

Source DB:  PubMed          Journal:  Virchows Arch        ISSN: 0945-6317            Impact factor:   4.064


  9 in total

1.  Validation of digital pathology imaging for primary histopathological diagnosis.

Authors:  David R J Snead; Yee-Wah Tsang; Aisha Meskiri; Peter K Kimani; Richard Crossman; Nasir M Rajpoot; Elaine Blessing; Klaus Chen; Kishore Gopalakrishnan; Paul Matthews; Navid Momtahan; Sarah Read-Jones; Shatrughan Sah; Emma Simmons; Bidisa Sinha; Sari Suortamo; Yen Yeo; Hesham El Daly; Ian A Cree
Journal:  Histopathology       Date:  2015-12-06       Impact factor: 5.087

Review 2.  A Systematic Analysis of Discordant Diagnoses in Digital Pathology Compared With Light Microscopy.

Authors:  Bethany J Williams; Philip DaCosta; Edward Goacher; Darren Treanor
Journal:  Arch Pathol Lab Med       Date:  2017-05-03       Impact factor: 5.534

3.  A validation study of whole slide imaging for primary diagnosis of lymphoma.

Authors:  Saiful Amin; Taro Mori; Tomoo Itoh
Journal:  Pathol Int       Date:  2019-07-11       Impact factor: 2.534

4.  Importance of expert central review in the diagnosis of lymphoid malignancies in a regional cancer network.

Authors:  Ian E Proctor; Christopher McNamara; Manuel Rodriguez-Justo; Peter G Isaacson; Alan Ramsay
Journal:  J Clin Oncol       Date:  2011-02-22       Impact factor: 44.544

5.  Whole-slide imaging at primary pathological diagnosis: Validation of whole-slide imaging-based primary pathological diagnosis at twelve Japanese academic institutes.

Authors:  Kazuhiro Tabata; Ichiro Mori; Takeshi Sasaki; Tomoo Itoh; Taizo Shiraishi; Naoki Yoshimi; Ichiro Maeda; Oi Harada; Kiyomi Taniyama; Daiki Taniyama; Mika Watanabe; Yoshiki Mikami; Shuntaro Sato; Yukio Kashima; Shota Fujimura; Junya Fukuoka
Journal:  Pathol Int       Date:  2017-10-05       Impact factor: 2.534

6.  Evaluation of a panel of expert pathologists: review of the diagnosis and histological classification of Hodgkin and non-Hodgkin lymphomas in a population-based cancer registry.

Authors:  Leonie Strobbe; Saskia A M van der Schans; Sanneke Heijker; Jos W R Meijer; E J M Vera Mattijssen; Carolien M P W Mandigers; Ineke M de Kievit; John M M Raemaekers; Konnie M Hebeda; J Han J M van Krieken
Journal:  Leuk Lymphoma       Date:  2013-09-10

7.  Comparison of referring and final pathology for patients with non-Hodgkin's lymphoma in the National Comprehensive Cancer Network.

Authors:  Ann S LaCasce; Michelle E Kho; Jonathan W Friedberg; Joyce C Niland; Gregory A Abel; Maria Alma Rodriguez; Myron S Czuczman; Michael M Millenson; Andrew D Zelenetz; Jane C Weeks
Journal:  J Clin Oncol       Date:  2008-09-02       Impact factor: 44.544

8.  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

9.  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

  9 in total
  2 in total

1.  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 2.  Validation of digital microscopy: Review of validation methods and sources of bias.

Authors:  Christof A Bertram; Nikolas Stathonikos; Taryn A Donovan; Alexander Bartel; Andrea Fuchs-Baumgartinger; Karoline Lipnik; Paul J van Diest; Federico Bonsembiante; Robert Klopfleisch
Journal:  Vet Pathol       Date:  2021-08-26       Impact factor: 2.221

  2 in total

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