Dynamic nomogram for predicting axillary lymph node metastasis in breast cancer based on MRI analysis and the platelet-to-lymphocyte ratio (PLR)
Jie Wang, Qinan Geng, Manman Wang, Mengmeng Yang, Yilan Zhang · 2026
Read Dynamic nomogram for predicting axillary lymph node metastasis in breast cancer based on MRI analysis and the platelet-to-lymphocyte ratio (PLR) by Jie Wang, Qinan Geng, Manman Wang, Mengmeng Yang, Yilan Zhang (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/PMC13595517.txt.
Description
Jie Wang and colleagues built a prediction tool for whether breast cancer has reached the armpit lymph nodes, sparing patients unnecessary node surgery when risk is low. Their 2026 study drew MRI scans and clinical data from 221 patients with confirmed breast cancer, extracting hundreds of image features known as radiomics.
A blood measure, the platelet-to-lymphocyte ratio, topped the list of clinical predictors alongside the scan's own reading of the nodes and its standard severity category. Image models combining two MRI sequences beat either sequence alone. The team blended the best image score with the clinical predictors into a nomogram. A nomogram is a visual calculator. This one was also released in a dynamic online form. It separated patients with and without nodal spread with high accuracy in both training and validation groups. The authors say the tool could guide decisions about node sampling.
Catalog record
| CREATOR | Jie Wang, Qinan Geng, Manman Wang, Mengmeng Yang, Yilan Zhang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 38220 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |