NDLI: Computer aided diagnosis (CAD) of breast mass on ultrasonography and scintimammography

Content Provider	IEEE Xplore Digital Library
Author	Kyung-Hoon Hwang Jun Gu Lee Jong Hyo Kim Hyung-Ji Lee Kyong-Sik Om Minki Yoon Wonsick Choe
Copyright Year	2005
Description	Author affiliation: Dept. of Nucl. Medicine, Gachon Med. Sch., Incheon, South Korea (Kyung-Hoon Hwang)
Abstract	Both breast ultrasonography (US) and scintimammography (SMM) shows limited diagnostic accuracy in the differential diagnosis of breast cancer. We investigated whether the diagnostic performance of computer-aided diagnosis (CAD) of US was improved by adding SMM results. We retrospectively reviewed 40 breast US images and corresponding SMM images from 40 patients who presented with breast masses (21 malignant and 19 benign tumors). The morphologic features of the breast lesions on US were extracted and quantitated using the automated CAD software program (So no Eye, CAD Impact, Inc., Seoul, Korea), which calculated the probability of malignancy based on the stored database. The quantitative data of SMM were obtained as the uptake ratio of lesion to contralateral normal breast on SMM SPECT. The diagnostic accuracy of CAD of US and SMM was determined using ROC curve analysis, respectively. The best discriminating function combining the CAD results of US and SMM uptake value was created using linear discriminant analysis and the diagnostic performance was compared to that using only one diagnostic modality. Both US and SMM showed a relatively good diagnostic accuracy (area under curve=0.831 and 0.846, respectively). Combining CAD results of US and SMM resulted in improved diagnostic accuracy (area under curve =0.860), but it was not statistically significant. The diagnostic performance of CAD of breast US in the differential diagnosis of the breast mass was not significantly improved by adding SMM. However, SMM SPECT may be complementary to CAD of US in differential diagnosis of breast cancer.
Sponsorship	IEEE Inje Univ. Busan Convention Bureau
Starting Page	187
Ending Page	189
File Size	483694
Page Count	3
File Format	PDF
ISBN	0780389409
DOI	10.1109/HEALTH.2005.1500435
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-23
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ultrasonography Lesions Breast cancer Biomedical imaging Medical diagnostic imaging Computer aided diagnosis Benign tumors Mammography Nuclear medicine Radiology
Content Type	Text
Resource Type	Article

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