title: Computer-aided assessment of tumor grade for breast cancer in ultrasound images.
abstract: This study involved developing a computer-aided diagnosis (CAD) system for discriminating the grades of breast cancer tumors in ultrasound (US) images. Histological tumor grades of breast cancer lesions are standard prognostic indicators. Tumor grade information enables physicians to determine appropriate treatments for their patients. US imaging is a noninvasive approach to breast cancer examination. In this study, 148 3-dimensional US images of malignant breast tumors were obtained. Textural, morphological, ellipsoid fitting, and posterior acoustic features were quantified to characterize the tumor masses. A support vector machine was developed to classify breast tumor grades as either low or high. The proposed CAD system achieved an accuracy of 85.14% (126/148), a sensitivity of 79.31% (23/29), a specificity of 86.55% (103/119), and an A Z of 0.7940.
authors: Comprehensive Breast Cancer Center, Department of Medical Research, Changhua Christian Hospital, 135 Nanhsiao Street, Changhua 50006, Taiwan.
authors: Dar-Ren
authors: 0000-0002-0897-4374
authors: DR
authors: Chen
authors: Department of Bio-Industrial Mechatronics Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 106, Taiwan.
authors: Cheng-Liang
authors: 0000-0002-5108-6532
authors: CL
authors: Chien
authors: Department of Bio-Industrial Mechatronics Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 106, Taiwan.
authors: Yan-Fu
authors: 0000-0002-5886-5643
authors: YF
authors: Kuo
mesh_terms: D000162:Acoustics; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001943:Breast Neoplasms / Q000175:diagnosis* / Q000000981:diagnostic imaging*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008875:Middle Aged; D060787:Neoplasm Grading / Q000379:methods*; D010363:Pattern Recognition, Automated; D011237:Predictive Value of Tests; D011379:Prognosis; D012372:ROC Curve; D060388:Support Vector Machine; D014463:Ultrasonography