Diagnostic performances of S-Detect technique in breast ultrasound examination(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2020年第4期
- Page:
- 450-455
- Research Field:
- 医学影像物理
- Publishing date:
Info
- Title:
- Diagnostic performances of S-Detect technique in breast ultrasound examination
- Author(s):
- WANG Meiwen; WANG Yanchun; XIAO Husheng; REN Yajuan; XU Fang
- Department of Ultrasound Medicine, Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 200232, China
- Keywords:
- Keywords: breast mass; S-Detect technique; computer-aided diagnosis
- PACS:
- R318;R445.1
- DOI:
- DOI:10.3969/j.issn.1005-202X.2020.04.010
- Abstract:
- Abstract: Objective To evaluate the diagnostic performance of S-Detect technique in breast ultrasound examination. Methods A total of 175 female patients receiving ultrasound examination from June to December 2018 were enrolled in the study, with a total of 192 breast masses. The consistency of the diagnostic results obtained by ultrasound doctors and S-Detect technique was evaluated, and the diagnostic performances including sensitivity, specificity, positive predictive value, negative predictive value, accuracy and area under receiver operating characteristic curve were compared. Results Among 192 breast masses, there were 72 (37.5%) of malignant masses and 120 (62.5%) of benign masses. For 4a benign masses, S-Detect technique had a benign assessment rate higher than ultrasound doctors. The specificity, positive predictive value, accuracy and area under receiver operating characteristic curve of S-Detect technique were significantly higher than those of ultrasound doctors, while the diagnostic sensitivity and negative predictive value were lower than those of ultrasound doctors (P<0.05). There was a moderate agreement in the diagnostic results evaluated by ultrasound doctors and S-Detect technique (κ=0.58). Conclusion S-Detect technique can be used as an additional diagnostic tool to improve the specificity of breast ultrasound examination and provide guidance for the diagnosis of breast masses.
Last Update: 2020-04-29