Ultrasound S-detect system can improve diagnostic performance of less experienced radiologists in differentiating breast masses: a retrospective dual-centre study
The study reported an improvement in sensitivity and AUC particularly for low to intermediate-level radiologists, involved cases and radiologists from 2 different centres, and compared the diagnostic value of using S-detect system for masses of different sizes.
Authors
- Jia-Zhen Pan
- Chuanxiong Nie (ORCID: https://orcid.org/0000-0001-7963-1187)
- Min Zong (ORCID: https://orcid.org/0000-0002-0452-507X)
- Hailing Zha (ORCID: https://orcid.org/0000-0001-6285-0877)
- Liwen Du (ORCID: https://orcid.org/0000-0003-0124-6806)
- Cuiying Li (ORCID: https://orcid.org/0000-0002-8633-791X)
- Lin Meng (ORCID: https://orcid.org/0000-0002-1603-4200)
- Hongli Liu (ORCID: https://orcid.org/0000-0002-9569-8792)
- Mengjun Cai
- Bo Zhang (ORCID: https://orcid.org/0009-0009-9160-3846)
Institutions
- Nanjing Drum Tower Hospital (CN)
- Jiangsu Cancer Hospital (CN)
- Jiangsu Province Hospital (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- British Journal of Radiology
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1093/bjr/tqae233
- Citations
- 3
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 1.04