RSNA 2011 

Abstract Archives of the RSNA, 2011


SSK04-01

A New Temporal Subtraction Method for Lung Nodule Detection in Successive Diagnostic Thoracic CT Scans: JAFROC Observer Study

Scientific Formal (Paper) Presentations

Presented on November 30, 2011
Presented as part of SSK04: Chest (Lung Nodule Evaluation)

Participants

Takatoshi Aoki MD, Presenter: Nothing to Disclose
Seiichi Murakami, Abstract Co-Author: Nothing to Disclose
Masami Fujii MD, Abstract Co-Author: Nothing to Disclose
Hyoungseop Kim, Abstract Co-Author: Nothing to Disclose
Shigehiko Katsuragawa PhD, Abstract Co-Author: Shareholder, Hologic, Inc
Yukunori Korogi MD, Abstract Co-Author: Nothing to Disclose
Noriaki Miyake, Abstract Co-Author: Nothing to Disclose
Junji Shiraishi, Abstract Co-Author: Nothing to Disclose

PURPOSE

We heve been developing a new temporal subtraction (TS) method which could reduce misregistration artifacts on the subtraction images in successive thoracic CT scans. In this study, the usefulness of this computerized method on the radiologists’ performance for lung nodule detection on thin-section CT was evaluated with Jacknife free-response receiver operating characteristics (JAFROC) observer study.

METHOD AND MATERIALS

Fifty pairs of standard-dose 2mm-thick CT and their TS images were used for an observer performance study. All 50 datasets were interpreted by two thoracic radiologists to identify the reference standard of actionable nodules (non-calcified nodules larger than 4 mm). Eight radiologists (four attending radiologists and four radiology residents) participated in this observer study. PC based reading tool for viewing stack images with and without TS images were originally developed. Ratings and locations of “lesions” obtained with this tool were utilized for assessing the statistical significance of differences between radiologists' performances without and with the TS images in JAFROC analysis.

RESULTS

A total of 30 nodules, ranging in size from 5 to 19 mm, were identified as the reference standard. The average figure-of-merit (FOM) values for all radiologists increased to a statistically significant degree, from 0.838 without the TS images to 0.894 with the images (P=.033). The average sensitivity for detecting actionable nodules was improved from 73.4 % to 83.4 % at a false-positive rate of 0.15 per case by use of the TS images. The reading time with TS images was not significantly different from that without.

CONCLUSION

The novel TS method for CT images would increase the observer performance for lung nodule detection on thin-section CT without extending the reading time.

CLINICAL RELEVANCE/APPLICATION

A novel TS method can sufficiently assist the radiologists’ interpretation for lung nodule detection by reducing the artifacts on TS images.

Cite This Abstract

Aoki, T, Murakami, S, Fujii, M, Kim, H, Katsuragawa, S, Korogi, Y, Miyake, N, Shiraishi, J, A New Temporal Subtraction Method for Lung Nodule Detection in Successive Diagnostic Thoracic CT Scans: JAFROC Observer Study.  Radiological Society of North America 2011 Scientific Assembly and Annual Meeting, November 26 - December 2, 2011 ,Chicago IL. http://archive.rsna.org/2011/11010628.html