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Proceedings Paper

Comparative evaluation of physicians' pulmonary nodule detection with reduced slice thickness at CT screening
Author(s): Marodina Sinsuat; Ichiro Shimamura; Shinsuke Saita; Mitsuru Kubo; Yoshiki Kawata; Noboru Niki; Hironobu Ohmatsu; Ryutaro Kakinuma; Kenji Eguchi; Masahiro Kaneko; Keigo Tominaga; Noriyuki Moriyama
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Paper Abstract

With thin and thick section Multi-slice CT images at lung cancer screening, we have statistically and quantitatively shown and evaluated the diagnostic capabilities of these slice thicknesses on physicians' pulmonary nodule diagnosis. To comparatively evaluate the 2 mm and 10 mm slice thicknesses, MSCT images of 360 people were read by six physicians. The reading criteria consisted of nodule for further examination (NFE), nodule for no further examination (NNFE) and no abnormality (NA) case. For reading results evaluation; firstly, cross-tabulation was carried out to roughly analyze the diagnoses based on whole lung field and each lung lobes. Secondly, from semi-automated extraction result of the nodule, detailed quantitative analysis was carried out to determine the diagnostic capabilities of two slice thicknesses. Finally, using the reading results of 2 mm thick image as the gold standard, the diagnostic capabilities were analyzed through the features and locations of pulmonary nodules. The study revealed that both slice thicknesses can depict lung cancer. Thin section may not be effective to diagnose nodules of ≤3 mm in size and nodules of ≤ 5mm in size for thick section. Though thick section is less tiring for reading physicians, it is not good at depicting nodules located at the border of lung upper lobe and which have a pixel size distance of ≤5 from the chest wall. The information presented may serve as a useful reference to determine in which particular pulmonary nodule condition the two slice thicknesses can be effectively used for early detection of lung cancer.

Paper Details

Date Published: 12 March 2008
PDF: 10 pages
Proc. SPIE 6916, Medical Imaging 2008: Physiology, Function, and Structure from Medical Images, 691621 (12 March 2008); doi: 10.1117/12.770405
Show Author Affiliations
Marodina Sinsuat, The Univ. of Tokushima (Japan)
Ichiro Shimamura, The Univ. of Tokushima (Japan)
Shinsuke Saita, The Univ. of Tokushima (Japan)
Mitsuru Kubo, The Univ. of Tokushima (Japan)
Yoshiki Kawata, The Univ. of Tokushima (Japan)
Noboru Niki, The Univ. of Tokushima (Japan)
Hironobu Ohmatsu, National Cancer Ctr. East Hospital (Japan)
Ryutaro Kakinuma, National Cancer Ctr. Research Ctr. for Cancer Prevention and Screening (Japan)
Kenji Eguchi, Tokai Univ. School of Medicine (Japan)
Masahiro Kaneko, National Cancer Ctr. Hospital (Japan)
Keigo Tominaga, Tochigi Public Health Service Association (Japan)
Noriyuki Moriyama, National Cancer Ctr. Research Ctr. for Cancer Prevention and Screening (Japan)

Published in SPIE Proceedings Vol. 6916:
Medical Imaging 2008: Physiology, Function, and Structure from Medical Images
Xiaoping P. Hu; Anne V. Clough, Editor(s)

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