Literature DB >> 28940580

Digital pathology for the primary diagnosis of breast histopathological specimens: an innovative validation and concordance study on digital pathology validation and training.

Bethany Jill Williams1, Andrew Hanby1,2, Rebecca Millican-Slater1, Anju Nijhawan1, Eldo Verghese1,2, Darren Treanor1,2.   

Abstract

AIM: To train and individually validate a group of breast pathologists in specialty-specific digital primary diagnosis by using a novel protocol endorsed by the Royal College of Pathologists' new guideline for digital pathology. The protocol allows early exposure to live digital reporting, in a risk-mitigated environment, and focuses on patient safety and professional development. METHODS AND
RESULTS: Three specialty breast pathologists completed training in the use of a digital microscopy system, and were exposed to a training set of 20 challenging cases, designed to help them identify personal digital diagnostic pitfalls. Following this, the three pathologists viewed a total of 694 live, entire breast cases. All primary diagnoses were made on digital slides, with immediate glass slide review and reconciliation before final case sign-out. There was complete clinical concordance between the glass and digital impression of the case in 98.8% of cases. Only 1.2% of cases had a clinically significant difference in diagnosis/prognosis on glass and digital slide reads. All pathologists elected to continue using the digital microscope as the standard for breast histopathology specimens, with deferral to glass for a limited number of clinical/histological scenarios as a safety net.
CONCLUSION: Individual training and validation for digital primary diagnosis allows pathologists to develop competence and confidence in their digital diagnostic skills, and aids safe and responsible transition from the light microscope to the digital microscope.
© 2017 John Wiley & Sons Ltd.

Entities:  

Keywords:  digital pathology; training; validation

Mesh:

Year:  2017        PMID: 28940580     DOI: 10.1111/his.13403

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


  19 in total

1.  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

2.  A platform for artificial intelligence based identification of the extravasation potential of cancer cells into the brain metastatic niche.

Authors:  C Ryan Oliver; Megan A Altemus; Trisha M Westerhof; Hannah Cheriyan; Xu Cheng; Michelle Dziubinski; Zhifen Wu; Joel Yates; Aki Morikawa; Jason Heth; Maria G Castro; Brendan M Leung; Shuichi Takayama; Sofia D Merajver
Journal:  Lab Chip       Date:  2019-03-27       Impact factor: 6.799

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

4.  Selection of Representative Histologic Slides in Interobserver Reproducibility Studies: Insights from Expert Review for Ovarian Carcinoma Subtype Classification.

Authors:  Marios A Gavrielides; Brigitte M Ronnett; Russell Vang; Fahime Sheikhzadeh; Jeffrey D Seidman
Journal:  J Pathol Inform       Date:  2021-03-22

5.  Remote Reporting from Home for Primary Diagnosis in Surgical Pathology: A Tertiary Oncology Center Experience during the COVID-19 Pandemic.

Authors:  Vidya Rao; Rajiv Kumar; Sathyanarayanan Rajaganesan; Swapnil Rane; Gauri Deshpande; Subhash Yadav; Asawari Patil; Trupti Pai; Santosh Menon; Aekta Shah; Katha Rabade; Mukta Ramadwar; Poonam Panjwani; Neha Mittal; Ayushi Sahay; Bharat Rekhi; Munita Bal; Uma Sakhadeo; Sumeet Gujral; Sangeeta Desai
Journal:  J Pathol Inform       Date:  2021-01-08

6.  Fully digital pathology laboratory routine and remote reporting of oral and maxillofacial diagnosis during the COVID-19 pandemic: a validation study.

Authors:  Anna Luíza Damaceno Araújo; Gleyson Kleber do Amaral-Silva; Maria Eduarda Pérez-de-Oliveira; Karen Patricia Domínguez Gallagher; Cinthia Veronica Bardalez López de Cáceres; Ana Luiza Oliveira Corrêa Roza; Amanda Almeida Leite; Bruno Augusto Linhares Almeida Mariz; Carla Isabelly Rodrigues-Fernandes; Felipe Paiva Fonseca; Marcio Ajudarte Lopes; Paul M Speight; Syed Ali Khurram; Jacks Jorge Júnior; Manoela Domingues Martins; Oslei Paes de Almeida; Alan Roger Santos-Silva; Pablo Agustin Vargas
Journal:  Virchows Arch       Date:  2021-03-13       Impact factor: 4.064

7.  Agreement in Histological Assessment of Mitotic Activity Between Microscopy and Digital Whole Slide Images Informs Conversion for Clinical Diagnosis.

Authors:  Bih-Rong Wei; Charles H Halsey; Shelley B Hoover; Munish Puri; Howard H Yang; Brandon D Gallas; Maxwell P Lee; Weijie Chen; Amy C Durham; Jennifer E Dwyer; Melissa D Sánchez; Ryan P Traslavina; Chad Frank; Charles Bradley; Lawrence D McGill; D Glen Esplin; Paula A Schaffer; Sarah D Cramer; L Tiffany Lyle; Jessica Beck; Elizabeth Buza; Qi Gong; Stephen M Hewitt; R Mark Simpson
Journal:  Acad Pathol       Date:  2019-07-11

8.  Remote Reporting During a Pandemic Using Digital Pathology Solution: Experience from a Tertiary Care Cancer Center.

Authors:  Veena Ramaswamy; B N Tejaswini; Sowmya B Uthaiah
Journal:  J Pathol Inform       Date:  2021-04-08

9.  Dissecting the Business Case for Adoption and Implementation of Digital Pathology: A White Paper from the Digital Pathology Association.

Authors:  Giovanni Lujan; Jennifer C Quigley; Douglas Hartman; Anil Parwani; Brian Roehmholdt; Bryan Van Meter; Orly Ardon; Matthew G Hanna; Dan Kelly; Chelsea Sowards; Michael Montalto; Marilyn Bui; Mark D Zarella; Victoria LaRosa; Gerard Slootweg; Juan Antonio Retamero; Mark C Lloyd; James Madory; Doug Bowman
Journal:  J Pathol Inform       Date:  2021-04-07

10.  The Use of Screencasts with Embedded Whole-Slide Scans and Hyperlinks to Teach Anatomic Pathology in a Supervised Digital Environment.

Authors:  Mary Wong; Joseph Frye; Stacey Kim; Alberto M Marchevsky
Journal:  J Pathol Inform       Date:  2018-11-14
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