整合对比增强的US与O-RADSUS用于固体组件附性损伤的分类:时间强度曲线分析与视觉评估

Manli Wu1, Ying Wang1, Manting Su1

  • 1From the Department of Ultrasound, the Third Affiliated Hospital of Sun Yat-sen University, 600 Tianhe Road, Guangzhou 510630, Guangdong, China (M.W., Y.W., M.S., L.H., X.Z.); Department of Ultrasound, Henan Provincial People's Hospital, Zhengzhou, China (R.W.); Department of Ultrasound, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (X.S.); Department of Ultrasound, Children's Hospital of Shanxi (Women Health Center of Shanxi), Taiyuan, China (R.Z.); Ultrasound Diagnosis Center, Shaanxi Provincial People's Hospital, Xi'an, China (L.M.); Department of Ultrasound, The Fifth People's Hospital of Chengdu, Chengdu, China (L.X.); Department of Ultrasound, Huizhou Central People's Hospital, Huizhou, China (H.W.); Department of Ultrasound Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, China (T.L.); and Department of Ultrasound, The Third Hospital of BaoGang Group, Maternity Hospital of Bao Tou, Baotou, China (X.M.).

Radiology. Imaging cancer
|October 11, 2024
PubMed
概括

与卵巢附病变报告和数据系统 (O-RADS) 进行对比增强的US (CEUS) 美国风险分层改善了附病变的诊断. 时间强度曲线 (TIC) 分析和CEUS的主观视觉评估都显示了可比的性能.