title: Evaluation of computer-aided detection of lesions in mammograms obtained with a digital phase-contrast mammography system.
abstract: A computer-aided detection (CAD) system was evaluated for its ability to detect microcalcifications and masses on images obtained with a digital phase-contrast mammography (PCM) system, a system characterised by the sharp images provided by phase contrast and by the high resolution of 25-μm-pixel mammograms. Fifty abnormal and 50 normal mammograms were collected from about 3,500 mammograms and printed on film for reading on a light box. Seven qualified radiologists participated in an observer study based on receiver operating characteristic (ROC) analysis. The average of the areas under ROC curve (AUC) values for the ROC analysis with and without CAD were 0.927 and 0.897 respectively (P = 0.015). The AUC values improved from 0.840 to 0.888 for microcalcifications (P = 0.034) and from 0.947 to 0.962 for masses (P = 0.025) respectively. The application of CAD to the PCM system is a promising approach for the detection of breast cancer in its early stages.
authors: Department of Radiology, Shiga University of Medical Science, Tsukinowa-cho, Seta, Otsu, Japan. toyohiko@belle.shiga-med.ac.jp
authors: Toyohiko
authors: T
authors: Tanaka
authors: Norihisa
authors: N
authors: Nitta
authors: Shinichi
authors: S
authors: Ohta
authors: Tsuyoshi
authors: T
authors: Kobayashi
authors: Akiko
authors: A
authors: Kano
authors: Keiko
authors: K
authors: Tsuchiya
authors: Yoko
authors: Y
authors: Murakami
authors: Sawako
authors: S
authors: Kitahara
authors: Makoto
authors: M
authors: Wakamiya
authors: Akira
authors: A
authors: Furukawa
authors: Masashi
authors: M
authors: Takahashi
authors: Kiyoshi
authors: K
authors: Murata
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D001185:Artificial Intelligence; D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D005260:Female; D006801:Humans; D008327:Mammography / Q000379:methods*; D008875:Middle Aged; D015588:Observer Variation; D010363:Pattern Recognition, Automated / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity