研究单位：[1]Tongji Hospital,Wuhan, Hubei, China, 430030[2]Xinhua Hospital, Shanghai Jiao Tong University School of Medicine[3]Wuhan Hospital of Traditional Chinese Medicine[4]Macheng People's Hospital[5]Huangshi Central Hospital, China[6]Affiliated Hospital of Jiangsu University[7]The First People's Hospital of Yichang[8]The Second People's Hospital of Yichang[9]Xiangyang Central Hospital[10]The Second Hospital of Anhui Medical University[11]Anqing People's Hospital[12]Huainan People's Hospital[13]Taizhou Hospital[14]Wenzhou Central Hospital[15]Xuzhou First People's Hospital[16]The Central Hospital of Lishui City[17]Huai'an First People's Hospital[18]WISCO General Hospital[19]Jiangxia District First People's Hospital[20]Enshi State Central Hospital[21]Lianyungang Third People's Hospital[22]Xiangyang First People's Hospital
The application of computer-aided diagnosis (CAD) technology "S-Detect" enables qualitative and quantitative automated analysis of ultrasound images to obtain objective, repeatable and more accurate diagnostic results. The Elastic Contrast Index (ECI) technique, unlike conventional strain-elastic imaging techniques, can evaluate the elastic distribution in the region of interest. The purpose of the study was to evaluate the differential diagnosis value of ultrasound S-Detect technology for benign and malignant breast nodules and evaluate the differential diagnosis consistency of the ultrasound S-Detect technique and the examiner for benign and malignant breast nodules and explore the differential diagnosis value of Samsung ultrasound elastic contrast Index (ECI) technique for benign and malignant breast nodules.
