Eye tracking in digital pathology: A comprehensive literature review.

Digital pathology Eye tracking Visual search pattern

Journal

Journal of pathology informatics
ISSN: 2229-5089
Titre abrégé: J Pathol Inform
Pays: United States
ID NLM: 101528849

Informations de publication

Date de publication:
Dec 2024
Historique:
received: 25 07 2023
revised: 28 04 2024
accepted: 14 05 2024
medline: 13 6 2024
pubmed: 13 6 2024
entrez: 13 6 2024
Statut: epublish

Résumé

Eye tracking has been used for decades in attempt to understand the cognitive processes of individuals. From memory access to problem-solving to decision-making, such insight has the potential to improve workflows and the education of students to become experts in relevant fields. Until recently, the traditional use of microscopes in pathology made eye tracking exceptionally difficult. However, the digital revolution of pathology from conventional microscopes to digital whole slide images allows for new research to be conducted and information to be learned with regards to pathologist visual search patterns and learning experiences. This has the promise to make pathology education more efficient and engaging, ultimately creating stronger and more proficient generations of pathologists to come. The goal of this review on eye tracking in pathology is to characterize and compare the visual search patterns of pathologists. The PubMed and Web of Science databases were searched using 'pathology' AND 'eye tracking' synonyms. A total of 22 relevant full-text articles published up to and including 2023 were identified and included in this review. Thematic analysis was conducted to organize each study into one or more of the 10 themes identified to characterize the visual search patterns of pathologists: (1) effect of experience, (2) fixations, (3) zooming, (4) panning, (5) saccades, (6) pupil diameter, (7) interpretation time, (8) strategies, (9) machine learning, and (10) education. Expert pathologists were found to have higher diagnostic accuracy, fewer fixations, and shorter interpretation times than pathologists with less experience. Further, literature on eye tracking in pathology indicates that there are several visual strategies for diagnostic interpretation of digital pathology images, but no evidence of a superior strategy exists. The educational implications of eye tracking in pathology have also been explored but the effect of teaching novices how to search as an expert remains unclear. In this article, the main challenges and prospects of eye tracking in pathology are briefly discussed along with their implications to the field.

Identifiants

pubmed: 38868488
doi: 10.1016/j.jpi.2024.100383
pii: S2153-3539(24)00022-1
pmc: PMC11168484
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

100383

Informations de copyright

© 2024 The Authors.

Déclaration de conflit d'intérêts

The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Matthew Cecchini reports a relationship with Merck that includes: board membership, funding grants, and speaking and lecture fees. Matthew Cecchini reports a relationship with AstraZeneca Pharmaceuticals LP that includes: board membership, funding grants, and speaking and lecture fees. Matthew Cecchini reports a relationship with Eli Lily that includes: board membership, funding grants, and speaking and lecture fees. Matthew Cecchini reports a relationship with Amgen that includes: board membership, funding grants, and speaking and lecture fees. Matthew Cecchini reports a relationship with Need that includes: consulting or advisory and equity or stocks. Matthew Cecchini reports a relationship with Tenomix that includes: equity or stocks. Matthew Cecchini has patent pending to Tenomix Inc.

Auteurs

Alana Lopes (A)

Department of Medical Biophysics, Western University, London, ON N6A 3K7, Canada.
Gerald C. Baines Centre, London Health Sciences Centre, London, ON N6A 5W9, Canada.

Aaron D Ward (AD)

Department of Medical Biophysics, Western University, London, ON N6A 3K7, Canada.
Gerald C. Baines Centre, London Health Sciences Centre, London, ON N6A 5W9, Canada.
Department of Oncology, Western University, London, ON N6A 3K7, Canada.

Matthew Cecchini (M)

Department of Pathology and Laboratory Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 3K7, Canada.

Classifications MeSH