Literature DB >> 30559033

Perceptual and Interpretive Error in Diagnostic Radiology-Causes and Potential Solutions.

Andrew J Degnan1, Emily H Ghobadi2, Peter Hardy3, Elizabeth Krupinski4, Elena P Scali5, Lindsay Stratchko6, Adam Ulano7, Eric Walker8, Ashish P Wasnik9, William F Auffermann10.   

Abstract

Interpretation of increasingly complex imaging studies involves multiple intricate tasks requiring visual evaluation, cognitive processing, and decision-making. At each stage of this process, there are opportunities for error due to human factors including perceptual and ergonomic conditions. Investigation into the root causes of interpretive error in radiology first began over a century ago. In more recent work, there has been increasing recognition of the limits of human image perception and other human factors and greater acknowledgement of the role of the radiologist's environment in increasing the risk of error. This article reviews the state of research on perceptual and interpretive error in radiology. This article focuses on avenues for further error examination, and strategies for mitigating these errors are discussed. The relationship between artificial intelligence and interpretive error is also considered.
Copyright © 2018 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ergonomics; interpretation; medical imaging; perception; radiology

Mesh:

Year:  2018        PMID: 30559033     DOI: 10.1016/j.acra.2018.11.006

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  11 in total

Review 1.  Physician centred imaging interpretation is dying out - why should I be a nuclear medicine physician?

Authors:  Roland Hustinx
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-06-07       Impact factor: 9.236

2.  Review of learning opportunity rates: correlation with radiologist assignment, patient type and exam priority.

Authors:  Marla B K Sammer; Marcus D Sammer; Lane F Donnelly
Journal:  Pediatr Radiol       Date:  2019-07-17

3.  Angiographically Occult Subarachnoid Hemorrhage: Yield of Repeat Angiography, Influence of Initial CT Bleed Pattern, and Sources of Diagnostic Error in 242 Consecutive Patients.

Authors:  I Nguyen; M T Caton; D Tonetti; A Abla; A Kim; W Smith; S W Hetts
Journal:  AJNR Am J Neuroradiol       Date:  2022-03-31       Impact factor: 3.825

4.  The Effects of Perinodular Features on Solid Lung Nodule Classification.

Authors:  José Lucas Leite Calheiros; Lucas Benevides Viana de Amorim; Lucas Lins de Lima; Ailton Felix de Lima Filho; José Raniery Ferreira Júnior; Marcelo Costa de Oliveira
Journal:  J Digit Imaging       Date:  2021-03-31       Impact factor: 4.903

5.  Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis During CCTA Evaluation of Chest Pain in the Emergency Department: Preparing an Application for Real-world Use.

Authors:  Richard D White; Barbaros S Erdal; Mutlu Demirer; Vikash Gupta; Matthew T Bigelow; Engin Dikici; Sema Candemir; Mauricio S Galizia; Jessica L Carpenter; Thomas P O'Donnell; Abdul H Halabi; Luciano M Prevedello
Journal:  J Digit Imaging       Date:  2021-03-31       Impact factor: 4.903

6.  Novel Chest Radiographic Biomarkers for COVID-19 Using Radiomic Features Associated with Diagnostics and Outcomes.

Authors:  José Raniery Ferreira Junior; Diego Armando Cardona Cardenas; Ramon Alfredo Moreno; Marina de Fátima de Sá Rebelo; José Eduardo Krieger; Marco Antonio Gutierrez
Journal:  J Digit Imaging       Date:  2021-02-18       Impact factor: 4.056

7.  Enhanced lung image segmentation using deep learning.

Authors:  Shilpa Gite; Abhinav Mishra; Ketan Kotecha
Journal:  Neural Comput Appl       Date:  2022-01-03       Impact factor: 5.102

8.  Influence of Prior Imaging Information on Diagnostic Accuracy for Focal Skeletal Processes-A Retrospective Analysis of the Consistency between Biopsy-Verified Imaging Diagnoses.

Authors:  Mine Benedicte Lange; Lars J Petersen; Mads Lausen; Niels Henrik Bruun; Michael Bachmann Nielsen; Helle D Zacho
Journal:  Diagnostics (Basel)       Date:  2022-07-17

Review 9.  Radiologists and Clinical Trials: Part 1 The Truth About Reader Disagreements.

Authors:  Annette M Schmid; David L Raunig; Colin G Miller; Richard C Walovitch; Robert W Ford; Michael O'Connor; Guenther Brueggenwerth; Josy Breuer; Liz Kuney; Robert R Ford
Journal:  Ther Innov Regul Sci       Date:  2021-07-06       Impact factor: 1.778

10.  Communicating traumatic pathology to ensure shared understanding: is there a recipe for the perfect preliminary image evaluation?

Authors:  Emma Cooper; Michael J Neep; Patrick Eastgate
Journal:  J Med Radiat Sci       Date:  2020-02-11
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