Standardized Clinical Annotation of Digital Histopathology Slides at the Point of Diagnosis.


Journal

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
ISSN: 1530-0285
Titre abrégé: Mod Pathol
Pays: United States
ID NLM: 8806605

Informations de publication

Date de publication:
11 2023
Historique:
received: 21 04 2023
revised: 26 06 2023
accepted: 25 07 2023
medline: 20 11 2023
pubmed: 7 8 2023
entrez: 6 8 2023
Statut: ppublish

Résumé

As digital pathology replaces conventional glass slide microscopy as a means of reporting cellular pathology samples, the annotation of digital pathology whole slide images is rapidly becoming part of a pathologist's regular practice. Currently, there is no recognizable organization of these annotations, and as a result, pathologists adopt an arbitrary approach to defining regions of interest, leading to irregularity and inconsistency and limiting the downstream efficient use of this valuable effort. In this study, we propose a Standardized Annotation Reporting Style for digital whole slide images. We formed a list of 167 commonly annotated entities (under 12 specialty subcategories) based on review of Royal College of Pathologists and College of American Pathologists documents, feedback from reporting pathologists in our NHS department, and experience in developing annotation dictionaries for PathLAKE research projects. Each entity was assigned a suitable annotation shape, SNOMED CT (SNOMED International) code, and unique color. Additionally, as an example of how the approach could be expanded to specific tumor types, all lung tumors in the fifth World Health Organization of thoracic tumors 2021 were included. The proposed standardization of annotations increases their utility, making them identifiable at low power and searchable across and between cases. This would aid pathologists reporting and reviewing cases and enable annotations to be used for research. This structured approach could serve as the basis for an industry standard and be easily adopted to ensure maximum functionality and efficiency in the use of annotations made during routine clinical examination of digital slides.

Identifiants

pubmed: 37544362
pii: S0893-3952(23)00202-8
doi: 10.1016/j.modpat.2023.100297
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

100297

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Harriet Evans (H)

Histopathology Department, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom; Warwick Medical School, University of Warwick, Coventry, United Kingdom. Electronic address: harriet.evans4@nhs.net.

Emily Hero (E)

Histopathology Department, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom; Histopathology Department, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom.

Fayyaz Minhas (F)

Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, Coventry, United Kingdom.

Noorul Wahab (N)

Tissue Image Analytics Centre, Department of Computer Science, University of Warwick, Coventry, United Kingdom.

Katherine Dodd (K)

Histopathology Department, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom.

Harvir Sahota (H)

Histopathology Department, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom; Department of Psychiatry, Coventry and Warwickshire Partnership Trust, Coventry, United Kingdom.

Ratnadeep Ganguly (R)

Histopathology Department, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom.

Andrew Robinson (A)

Histopathology Department, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom.

Manjuvani Neerudu (M)

Histopathology Department, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom.

Elaine Blessing (E)

Histopathology Department, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom.

Pallavi Borkar (P)

Histopathology Department, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom.

David Snead (D)

Histopathology Department, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, United Kingdom; Warwick Medical School, University of Warwick, Coventry, United Kingdom.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH