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Proceedings Paper

Computer-aided detection of lung cancer on chest radiographs: differences in the interpretation time of radiologists showing versus not showing improvement with CAD
Author(s): Teresa Osicka; Matthew T. Freedman M.D.; Shih-Chung Benedict Lo; Fleming Lure; Xin-Wei Xu; Jesse Lin; Hui Zhao; Ron Zhang
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Paper Abstract

Using data from a clinical trial of a commercial CAD system for lung cancer detection, we are comparing the time used for interpreting chest radiographs between the radiologists showing improvement in detecting lung cancer with computer assistance to those not showing improvement. While measurement showed that the 15 radiologists as a group showed improvement (the Az was 0.8288 in independent reading, and 0.8654 in sequential reading with CAD, improvement has a P-value of 0.0058), there were 9 radiologists who showed improvement and 6 who did not. The behavior of the radiologists differed between the cases that contained cancer and those that were cancer-free. For the cases that contained a cancer, there was no statistically significant difference in time between the two groups (P-value 0.26). For the cancer-free cases, we found a statistically significant greater interpretation time for the radiologists whose performance in cancer detection was better with computer assistance compared to those without improvement (P-value 0.02). This work shows that radiologists who increased their detection of lung cancer using CAD, compared to those who showed no improvement, significantly increased their reading time when they determined that true negative cases for cancer were indeed true negative cases, but did not increase reading time for true positive decision on cancer cases.

Paper Details

Date Published: 22 May 2003
PDF: 12 pages
Proc. SPIE 5034, Medical Imaging 2003: Image Perception, Observer Performance, and Technology Assessment, (22 May 2003); doi: 10.1117/12.480347
Show Author Affiliations
Teresa Osicka, Georgetown Univ. (United States)
Matthew T. Freedman M.D., Georgetown Univ. (United States)
Shih-Chung Benedict Lo, Georgetown Univ. (United States)
Fleming Lure, Deus Technologies, Inc. (United States)
Xin-Wei Xu, Deus Technologies, Inc. (United States)
Jesse Lin, Deus Technologies, Inc. (United States)
Hui Zhao, Georgetown Univ. (United States)
Ron Zhang, Deus Technologies, Inc. (United States)

Published in SPIE Proceedings Vol. 5034:
Medical Imaging 2003: Image Perception, Observer Performance, and Technology Assessment
Dev P. Chakraborty; Elizabeth A. Krupinski, Editor(s)

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