AI Article Synopsis
- The study evaluated a new CT temporal subtraction method's impact on radiologists' ability to detect lung nodules on thin-section CT images.
- Radiologists improved their performance significantly when using the CT TS images, with the average sensitivity for detecting actionable nodules rising from 73.4% to 83.4%.
- The CT TS method enhances nodule detection without significantly increasing the time radiologists spend interpreting the images.
Article Abstract
Purpose: To assess the effects of a new computed tomographic (CT) temporal subtraction (TS) method on radiologist performance in lung nodule detection on thin-section CT images.
Materials And Methods: The institutional review board approved this study, and the informed consent requirement was waived. Fifty pairs (current and previous CT images) of standard-dose 2-mm thin-section CT images and corresponding CT TS images were used for an observer performance study. Two thoracic radiologists identified 30 nodules ranging in size from 5 to 19 mm, and these nodules served as the reference standard of actionable nodules (noncalcified nodules larger than 4 mm). Eight radiologists (four attending radiologists, four radiology residents) participated in this observer study. Ratings and locations of lesions determined by observers were used to assess the significance of differences between radiologists' performances without and with the CT TS images in jacknife free-response receiver operating characteristics analysis.
Results: Average figure of merit values increased significantly for all radiologists (from 0.838 without CT TS images to 0.894 with CT TS images [P = .033]). Average sensitivity for detection of actionable nodules was improved from 73.4% to 83.4%, with a false-positive rate of 0.15 per case, by using CT TS images. The reading time with CT TS images was not significantly different from that without.
Conclusion: The novel CT TS method would increase observer performance for lung nodule detection without considerably extending the reading time.
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| http://dx.doi.org/10.1148/radiol.13130460 | DOI Listing |
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