Image Perception, Observer Performance, and Technology Assessment

Number of mammography cases read per year is a strong predictor of sensitivity

[+] Author Affiliations
Wasfi I. Suleiman

University of Sydney, Medical Imaging Optimisation and Perception Group, and the Brain and Mind Institute, 94 Mallet Street, Camperdown, NSW 2050, Australia

Sarah J. Lewis

University of Sydney, Medical Imaging Optimisation and Perception Group, and the Brain and Mind Institute, 94 Mallet Street, Camperdown, NSW 2050, Australia

Dianne Georgian-Smith

Harvard Medical School, Brigham and Women’s Hospital, Department of Radiology, 75 Francis Street, RA 020, Boston, Massachusetts 02115

Michael G. Evanoff

The American Board of Radiology, 5441 East William Boulevard, Suite 200, Tucson, Arizona 85711

Mark F. McEntee

University of Sydney, Medical Imaging Optimisation and Perception Group, and the Brain and Mind Institute, 94 Mallet Street, Camperdown, NSW 2050, Australia

J. Med. Imag. 1(1), 015503 (May 07, 2014). doi:10.1117/1.JMI.1.1.015503
History: Received December 24, 2013; Revised March 26, 2014; Accepted April 7, 2014
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Abstract.  Early detection of breast cancers affects the 5-year recurrence rates and treatment options for diagnosed patients, and consequently, many countries have instituted nationwide screening programs. This study compared the performance of expert radiologists from Australia and the United States in detection of breast cancer. Forty-one radiologists, 21 from Australia and 20 from the United States, reviewed 30 mammographic cases containing two-view mammograms. Twenty cases had abnormal findings and 10 cases had normal findings. Radiologists were asked to locate malignancies and assign a level of confidence. A jackknife free-response receiver operating characteristic, figure of merit (JAFROC, FOM), inferred receiver operating characteristic, area under curve (ROC, AUC), specificity, sensitivity, and location sensitivity were calculated using Ziltron software and JAFROC v4.1. A Mann-Whitney U test was used to compare the performance of Australian and U.S. radiologists. The results showed that when experience and the number of mammograms read per year were taken into account, the Australian radiologists sampled showed significantly higher sensitivity and location sensitivity (p0.001). JAFROC (FOM) and inferred ROC (AUC) analysis showed no difference between the overall performance of the two countries. ROC (AUC) and location sensitivity were higher for the Australian radiologists who read the most cases per year.

© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Wasfi I. Suleiman ; Sarah J. Lewis ; Dianne Georgian-Smith ; Michael G. Evanoff and Mark F. McEntee
"Number of mammography cases read per year is a strong predictor of sensitivity", J. Med. Imag. 1(1), 015503 (May 07, 2014). ; http://dx.doi.org/10.1117/1.JMI.1.1.015503


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