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Proceedings Paper

Calcification classifications of small nodules identified during CT lung cancer screening
Author(s): Philip F. Judy; Roberto Riva; Yoshiko Kadota; Francine L. Jacobson
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Paper Abstract

The aim of this study was to determine whether radiologists are more likely to report as calcified the small nodules detected during CT lung-cancer screening, if sharper reconstruction filters are utilized. Images were reconstructed with the 2 filters used at our institution for the lung (B50f) and for the mediastinum (B30f). The 4 lung-cancer screening cases were reconstructed with 1.25-mm section thickness at 0.6-mm section increments. Using a lax criterion, 2 radiologists identified the locations of nodular features and rated the likelihood that the features were calcified. There were 302 nodules reports. More of these (57%) were reported on images reconstructed using the smooth filter. Sixty (60) reports were definitely or possibly calcified. Seventy-three percent (73%) calcification reports were from images reconstructed using B50f. There were 27 calcification reports of one of the radiologist that were classified as non-calcified by the other radiologist. Most of calcification reports (81%) of 27 reports on which radiologists disagree regarding the likelihood of calcification were from images reconstructed using B50f. Radiologists are more likely to report small nodules detected during lung-cancer screening as calcified using the sharper reconstruction filter. Whether these nodules are actually calcified or not remains a question.

Paper Details

Date Published: 4 May 2004
PDF: 4 pages
Proc. SPIE 5372, Medical Imaging 2004: Image Perception, Observer Performance, and Technology Assessment, (4 May 2004); doi: 10.1117/12.534414
Show Author Affiliations
Philip F. Judy, Brigham and Women's Hospital (United States)
Harvard Medical School (United States)
Roberto Riva, Brigham and Women's Hospital (United States)
Harvard Medical School (United States)
Yoshiko Kadota, Brigham and Women's Hospital (United States)
Harvard Medical School (United States)
National Defense Medical College (Japan)
Francine L. Jacobson, Brigham and Women's Hospital (United States)
Harvard Medical School (United States)


Published in SPIE Proceedings Vol. 5372:
Medical Imaging 2004: Image Perception, Observer Performance, and Technology Assessment
Dev P. Chakraborty; Miguel P. Eckstein, Editor(s)

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