Visual Illusions in Radiology: Untrue Perceptions in Medical Images and Their Implications for Diagnostic Accuracy.

false negatives false positives illusions image quality medical image perception medical images perceptual expertise radiological error

Journal

Frontiers in neuroscience
ISSN: 1662-4548
Titre abrégé: Front Neurosci
Pays: Switzerland
ID NLM: 101478481

Informations de publication

Date de publication:
2021
Historique:
received: 17 11 2020
accepted: 19 04 2021
entrez: 28 6 2021
pubmed: 29 6 2021
medline: 29 6 2021
Statut: epublish

Résumé

Errors in radiologic interpretation are largely the result of failures of perception. This remains true despite the increasing use of computer-aided detection and diagnosis. We surveyed the literature on visual illusions during the viewing of radiologic images. Misperception of anatomical structures is a potential cause of error that can lead to patient harm if disease is seen when none is present. However, visual illusions can also help enhance the ability of radiologists to detect and characterize abnormalities. Indeed, radiologists have learned to exploit certain perceptual biases in diagnostic findings and as training tools. We propose that further detailed study of radiologic illusions would help clarify the mechanisms underlying radiologic performance and provide additional heuristics to improve radiologist training and reduce medical error.

Identifiants

pubmed: 34177444
doi: 10.3389/fnins.2021.629469
pmc: PMC8226024
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

629469

Subventions

Organisme : NCI NIH HHS
ID : R01 CA258021
Pays : United States
Organisme : NEI NIH HHS
ID : R01 EY031971
Pays : United States

Informations de copyright

Copyright © 2021 Alexander, Yazdanie, Waite, Chaudhry, Kolla, Macknik and Martinez-Conde.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Robert G Alexander (RG)

Department of Ophthalmology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States.
Department of Neurology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States.
Department of Physiology and Pharmacology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States.

Fahd Yazdanie (F)

Department of Radiology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States.

Stephen Waite (S)

Department of Radiology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States.

Zeshan A Chaudhry (ZA)

Department of Radiology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States.

Srinivas Kolla (S)

Department of Radiology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States.

Stephen L Macknik (SL)

Department of Ophthalmology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States.
Department of Neurology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States.
Department of Physiology and Pharmacology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States.

Susana Martinez-Conde (S)

Department of Ophthalmology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States.
Department of Neurology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States.
Department of Physiology and Pharmacology, State University of New York Downstate Health Sciences University, Brooklyn, NY, United States.

Classifications MeSH