Document Detail


Interpretation time of computer-aided detection at screening mammography.
MedLine Citation:
PMID:  20679448     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
PURPOSE: To prospectively determine the interpretation time associated with computer-aided detection (CAD) and to analyze how CAD affected radiologists' decisions and their level of confidence in their interpretations of digital screening mammograms. MATERIALS AND METHODS: An Institutional Review Board exemption was obtained, and patient consent was waived in this HIPAA compliant study. The participating radiologists gave informed consent. Five radiologists were prospectively studied as they interpreted 267 clinical digital screening mammograms. Interpretation times, recall decisions, and confidence levels were recorded without CAD and then with CAD. Software was used for linear regression fitting of interpretation times. P values less than .05 were considered to indicate statistically significant differences. RESULTS: Mean interpretation time without CAD was 118 seconds ± 4.2 (standard error of the mean). Mean time for reviewing CAD images was 23 seconds ± 1.5. CAD identified additional findings in five cases, increased confidence in 38 cases, and decreased confidence in 21 cases. Interpretation time without CAD increased with the number of mammographic views (P < .0001). Mean times for interpretation without CAD and review of the CAD images both increased with the number of CAD marks (P < .0001). The interpreting radiologist was a significant variable for all interpretation times (P < .0001). Interpretation time with CAD increased by 3.2 seconds (95% confidence interval: 1.8, 4.6) for each calcification cluster marked and by 7.3 seconds (95% confidence interval: 4.7, 9.9) for each mass marked. CONCLUSION: The additional time required to review CAD images represented a 19% increase in the mean interpretation time without CAD. CAD requires a considerable time investment for digital screening mammography but may provide less measureable benefits in terms of confidence of the radiologists.
Authors:
Philip M Tchou; Tamara Miner Haygood; E Neely Atkinson; Tanya W Stephens; Paul L Davis; Elsa M Arribas; William R Geiser; Gary J Whitman
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Publication Detail:
Type:  Journal Article     Date:  2010-08-02
Journal Detail:
Title:  Radiology     Volume:  257     ISSN:  1527-1315     ISO Abbreviation:  Radiology     Publication Date:  2010 Oct 
Date Detail:
Created Date:  2010-09-20     Completed Date:  2010-10-29     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0401260     Medline TA:  Radiology     Country:  United States    
Other Details:
Languages:  eng     Pagination:  40-6     Citation Subset:  AIM; IM    
Affiliation:
Department of Imaging Physics, University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA. pmtchou@gmail.com
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Breast Neoplasms / radiography*
Clinical Competence
Decision Making
Female
Humans
Linear Models
Mammography*
Prospective Studies
Radiographic Image Interpretation, Computer-Assisted*
Radiology Information Systems
Software
Time Factors

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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