Interpretation time for screening mammography as a function of the number of computer-aided detection marks

Tayler M. Schwartz; Stephen L. Hillis; Radhika Sridharan; Olga Lukyanchenko; William Geiser; Gary J. Whitman; Wei Wei; Tamara Miner Haygood

doi:10.1117/1.JMI.7.2.022408

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Interpretation time for screening mammography as a function of the number of computer-aided detection marks

Journal article

Open access

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Interpretation time for screening mammography as a function of the number of computer-aided detection marks

Tayler M. Schwartz, Stephen L. Hillis, Radhika Sridharan, Olga Lukyanchenko, William Geiser, Gary J. Whitman, Wei Wei and Tamara Miner Haygood

Journal of medical imaging (Bellingham, Wash.), Vol.7(2), pp.022408-022408

03/01/2020

DOI: 10.1117/1.JMI.7.2.022408

PMCID: PMC6996587

PMID: 32042859

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https://doi.org/10.1117/1.JMI.7.2.022408View

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Abstract

Purpose: Computer-aided detection (CAD) alerts radiologists to findings potentially associated with breast cancer but is notorious for creating false-positive marks. Although a previous paper found that radiologists took more time to interpret mammograms with more CAD marks, our impression was that this was not true in actual interpretation. We hypothesized that radiologists would selectively disregard these marks when present in larger numbers. Approach: We performed a retrospective review of bilateral digital screening mammograms. We use a mixed linear regression model to assess the relationship between number of CAD marks and In (interpretation time) after adjustment for covariates. Both readers and mammograms were treated as random sampling units. Results: Ten radiologists, with median experience after residency of 12.5 years (range 6 to 24) interpreted 1832 mammograms. After accounting for number of images, Breast Imaging Reporting and Data System category, and breast density, the number of CAD marks was positively associated with longer interpretation time, with each additional CAD mark proportionally increasing median interpretation time by 4.35% for a typical reader. Conclusions: We found no support for our hypothesis that radiologists will selectively disregard CAD marks when they are present in larger numbers. (C) The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License.

Life Sciences & Biomedicine

Radiology, Nuclear Medicine & Medical Imaging

Science & Technology

Details

Title: Subtitle: Interpretation time for screening mammography as a function of the number of computer-aided detection marks
Creators: Tayler M. Schwartz - Brown University
Stephen L. Hillis - University of Iowa
Radhika Sridharan - University Kebangsaan Malaysia Medical Centre
Olga Lukyanchenko - The University of Texas MD Anderson Cancer Center
William Geiser - The University of Texas MD Anderson Cancer Center
Gary J. Whitman - The University of Texas MD Anderson Cancer Center
Wei Wei - Cleveland Clinic
Tamara Miner Haygood - The University of Texas MD Anderson Cancer Center
Resource Type: Journal article
Publication Details: Journal of medical imaging (Bellingham, Wash.), Vol.7(2), pp.022408-022408
DOI: 10.1117/1.JMI.7.2.022408
PMID: 32042859
PMCID: PMC6996587
NLM abbreviation: J Med Imaging (Bellingham)
ISSN: 2329-4302
eISSN: 2329-4310
Publisher: Spie-Soc Photo-Optical Instrumentation Engineers
Number of pages: 11
Grant note: R01EB019967; R01EB025174 / National Institute of Biomedical Imaging and Bioengineering (NIBIB) of the U.S. National Institutes of Health P30CA016672 / NIH/NCI; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI)
Language: English
Date published: 03/01/2020
Academic Unit: Radiology; Biostatistics
Record Identifier: 9984318692102771

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