Superficial Parts Ultrasound
Factors influencing sensitivity of computer-aided detection system in detection of breast cancer based on an automated breast ultrasound system
Ge Zhang, Hongping Song, Shanling Yang, Ting Wang, Jing Fan, Guangbin He, Haiying Qin
Published 2019-09-01
Cite as Chin J Med Ultrasound(Electronic Edition), 2019, 16(9): 665-670. DOI: 10.3877/cma.j.issn.1672-6448.2019.09.005
Abstract
ObjectiveTo evaluate the factors affecting the sensitivity of computer-aided detection (CAD) system in detection of breast cancer based on an automated breast ultrasound system (ABUS).
MethodsABUS images from 232 women with 240 histologically proven malignant lesions were collected from January 2016 to February 2017 in this retrospective study. The CAD system (QView Medical, USA) was used to evaluate ABUS images. The total sensitivity for breast cancer detection and its associations with histological type, maximum diameter, distance from the nipple, distance from the skin, and the quadrant of tumor were evaluated.
ResultsThe total sensitivity of the CAD based on the ABUS for detection of breast cancer was 85.0% (204/240), and the sensitivities for detecting invasive ductal carcinoma (IDC), ductal carcinoma in situ (DCIS), mucinous carcinoma, and malignant phyllodes tumor were 89.0% (186/209), 53.9% (14/29), 75.0% (3/4), and 100% (1/1), respectively (χ2=18.836, P=0.000). The sensitivity of CAD had no significant association with the maximum diameter of lesion, the distance from the nipple, the distance from the skin, and the quadrant of tumor (P>0.05). For IDC, there was a significant association between the sensitivity of CAD and the distance from lesion to the skin and the margin of lesion (P<0.05).
ConclusionsABUS-CAD has a high sensitivity (85.0%) for detecting breast cancer, especially for IDC (89.0%). When doctors interpret images with the assistance of CAD, attention should be paid to DCIS and IDC with a deep location or indistinct.
Key words:
Automated breast ultrasound system; Computer-aided detection system; Breast cancer; Sensitivity
Contributor Information
Ge Zhang
Department of Ultrasound, Xijing Hospital, Xi′an 710032, China
Hongping Song
Department of Ultrasound, Xijing Hospital, Xi′an 710032, China
Shanling Yang
Department of Ultrasound, Xijing Hospital, Xi′an 710032, China
Ting Wang
Department of Thyroid/Breast and Vascular Surgery, Xijing Hospital, Xi′an 710032, China
Jing Fan
Department of Thyroid/Breast and Vascular Surgery, Xijing Hospital, Xi′an 710032, China
Guangbin He
Department of Ultrasound, Xijing Hospital, Xi′an 710032, China
Haiying Qin
Department of Ultrasound, Xijing Hospital, Xi′an 710032, China