Ultrasound-based predictive models for response to neoadjuvant chemotherapy in breast cancer: a systematic review and meta-analysis
Cuo Yi, Ting Xu, Rui You, Qiang Zhang, Ruihan Liu, Xi Yang · 2026
Read Ultrasound-based predictive models for response to neoadjuvant chemotherapy in breast cancer: a systematic review and meta-analysis by Cuo Yi, Ting Xu, Rui You, Qiang Zhang, Ruihan Liu, Xi Yang (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13479700.txt.
Description
Cuo Yi and colleagues present a 2026 systematic review and meta-analysis of ultrasound-based prediction models for judging breast cancer response to chemotherapy given before surgery. Knowing early whether tumors are shrinking helps teams adjust treatment. Three databases were searched through May 2025 for model studies.
Fourteen retrospective studies describing thirty-five models qualified. A dedicated tool rated most studies at high risk of bias, ten of the fourteen, mainly from small samples and weak validation. Pooled accuracy, summarized by the area under the curve, was computed across models. The authors weigh promising headline accuracy against fragile study designs, urging prospective validation before any model steers real treatment decisions.
Catalog record
| CREATOR | Cuo Yi, Ting Xu, Rui You, Qiang Zhang, Ruihan Liu, Xi Yang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 47259 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |