Back to Search
Start Over
The value of S-Detect for the differential diagnosis of breast masses on ultrasound: a systematic review and pooled meta-analysis.
- Source :
-
Medical Ultrasonography . Jun2020, Vol. 22 Issue 2, p211-219. 9p. - Publication Year :
- 2020
-
Abstract
- <bold>Aim: </bold>To evaluate the value of S-Detect (a computer aided diagnosis system using deep learning) in breast ultrasound (US) for discriminating benign and malignant breast masses.<bold>Material and Methods: </bold>A literature search was performed and relevant studies using S-Detect for the differential diagnosis of breast masses were selected. The quality of included studies was assessed using a Quality Assessment of Diagnostic Accuracy Studies (QUADAS) questionnaire. Two review authors independently searched the articles and assessed the eligibility of the reports.<bold>Results: </bold>A total of ten studies were included in the meta-analysis. The pooled estimates of sensitivity and specificity were 0.82 (95%CI: 0.77-0.87) and 0.86 (95%CI: 0.76-0.92), respectively. In addition, the diagnostic odds ratios, positive likelihood ratio and negative likelihood ratio were 28 (95%CI: 16- 49), 5.7 (95%CI: 3.4-9.5), and 0.21 (95%CI: 0.16-0.27), respectively. Area under the curve was 0.89 (95%CI: 0.86-0.92). No significant publication bias was observed.<bold>Conclusions: </bold>S-Detect exhibited a favourable diagnostic value in assisting physicians discriminating benign and malignant breast masses and it can be considered as a useful complement for conventional US. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18444172
- Volume :
- 22
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Medical Ultrasonography
- Publication Type :
- Academic Journal
- Accession number :
- 143564880
- Full Text :
- https://doi.org/10.11152/mu-2402