Literature DB >> 28980740

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

Kazuhiro Tabata1, Ichiro Mori2, Takeshi Sasaki3, Tomoo Itoh4, Taizo Shiraishi5, Naoki Yoshimi6, Ichiro Maeda7, Oi Harada8, Kiyomi Taniyama9, Daiki Taniyama10,11, Mika Watanabe12, Yoshiki Mikami13, Shuntaro Sato14, Yukio Kashima1,15, Shota Fujimura16, Junya Fukuoka1,16.   

Abstract

Several reports have demonstrated the use of whole-slide imaging (WSI) for primary pathological diagnosis, but no such studies have been published from Asia. We retrospectively collected 1070 WSI specimens from 900 biopsies and small surgeries conducted in nine hospitals. Nine pathologists, who participated in this study, trained for the College of American Pathologists guidelines, reviewed the specimens and made diagnoses based on digitized, 20× or 40× optically magnified images with a WSI scanner. After a washout interval of over 2 weeks, the same observers reviewed conventional glass slides and diagnosed them by light microscopy. Discrepancies between microscopy- and WSI-based diagnoses were evaluated at the individual institutes, and discrepant cases were further reviewed by all pathologists. Nine diagnoses (0.9%) showed major discrepancies with significant clinical differences between the WSI- and microscopy-based diagnoses, and 37 (3.5%) minor discrepancies occurred without a clinical difference. Eight out of nine diagnoses with a major discrepancy were considered concordant with the microscopy-based diagnoses. No association was observed between the level of discrepancy and the organ type, collection method, or digitized optical magnification. Our results indicate the availability of WSI-based primary diagnosis of biopsies and small surgeries in routine daily practice.
© 2017 Japanese Society of Pathology and John Wiley & Sons Australia, Ltd.

Keywords:  diagnosis; digital pathology; histopathology; multicenter trials; validation studies; whole-slide imaging

Mesh:

Year:  2017        PMID: 28980740     DOI: 10.1111/pin.12590

Source DB:  PubMed          Journal:  Pathol Int        ISSN: 1320-5463            Impact factor:   2.534


  18 in total

1.  Validation of digital microscopy in the histopathological diagnoses of oral diseases.

Authors:  Anna Luíza Damaceno Araújo; Gleyson Kleber Amaral-Silva; Felipe Paiva Fonseca; Natália Rangel Palmier; Marcio Ajudarte Lopes; Paul M Speight; Oslei Paes de Almeida; Pablo Agustin Vargas; Alan Roger Santos-Silva
Journal:  Virchows Arch       Date:  2018-06-01       Impact factor: 4.064

2.  The performance of digital microscopy for primary diagnosis in human pathology: a systematic review.

Authors:  Anna Luíza Damaceno Araújo; Lady Paola Aristizábal Arboleda; Natalia Rangel Palmier; Jéssica Montenegro Fonsêca; Mariana de Pauli Paglioni; Wagner Gomes-Silva; Ana Carolina Prado Ribeiro; Thaís Bianca Brandão; Luciana Estevam Simonato; Paul M Speight; Felipe Paiva Fonseca; Marcio Ajudarte Lopes; Oslei Paes de Almeida; Pablo Agustin Vargas; Cristhian Camilo Madrid Troconis; Alan Roger Santos-Silva
Journal:  Virchows Arch       Date:  2019-01-26       Impact factor: 4.064

Review 3.  Integrating digital pathology into clinical practice.

Authors:  Matthew G Hanna; Orly Ardon; Victor E Reuter; Sahussapont Joseph Sirintrapun; Christine England; David S Klimstra; Meera R Hameed
Journal:  Mod Pathol       Date:  2021-10-01       Impact factor: 7.842

Review 4.  Current Status of Whole Slide Image (WSI) Standardization in Japan.

Authors:  Ichiro Mori
Journal:  Acta Histochem Cytochem       Date:  2022-06-25       Impact factor: 1.857

5.  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

6.  Density and size of lymphoid follicles are useful clues in differentiating primary intestinal follicular lymphoma from intestinal reactive lymphoid hyperplasia.

Authors:  Hsin-Ni Li; Ren Ching Wang; Jun-Peng Chen; Sheng-Tsung Chang; Shih-Sung Chuang
Journal:  Diagn Pathol       Date:  2020-07-07       Impact factor: 2.644

Review 7.  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

8.  (Re) Defining the High-Power Field for Digital Pathology.

Authors:  David Kim; Liron Pantanowitz; Peter Schüffler; Dig Vijay Kumar Yarlagadda; Orly Ardon; Victor E Reuter; Meera Hameed; David S Klimstra; Matthew G Hanna
Journal:  J Pathol Inform       Date:  2020-10-09

9.  LibMI: An Open Source Library for Efficient Histopathological Image Processing.

Authors:  Yuxin Dong; Pargorn Puttapirat; Jingyi Deng; Xiangrong Zhang; Chen Li
Journal:  J Pathol Inform       Date:  2020-08-21

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

Authors:  Michiel van den Brand; Peet T G A Nooijen; Kimberly D van der Laan; Peter C de Bruin; A M Gijs van Leeuwen; Jan Willem Leeuwis; Jos W Meijer; Irene Otte-Höller; Konnie M Hebeda
Journal:  Virchows Arch       Date:  2020-08-25       Impact factor: 4.064

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.