A multimodal ultrasound-based model combining tumor radiomics and axillary lymph node morphologic classification for predicting axillary nodal burden in breast cancer.

Saved in:
Bibliographic Details
Title: A multimodal ultrasound-based model combining tumor radiomics and axillary lymph node morphologic classification for predicting axillary nodal burden in breast cancer.
Authors: Lu R; Department of Radiology, The First Hospital of Jilin University, Changchun, Jilin, China., Yang T; Department of Radiology, The First Hospital of Jilin University, Changchun, Jilin, China., Pan L; Ultrasound Diagnostic Center, The First Hospital of Jilin University, Changchun, Jilin, China., Shao L; Ultrasound Diagnostic Center, The First Hospital of Jilin University, Changchun, Jilin, China., Zhang L; Ultrasound Diagnostic Center, The First Hospital of Jilin University, Changchun, Jilin, China., Sun F; Ultrasound Diagnostic Center, The First Hospital of Jilin University, Changchun, Jilin, China., Du J; Ultrasound Diagnostic Center, The First Hospital of Jilin University, Changchun, Jilin, China., Zhao L; Ultrasound Diagnostic Center, The First Hospital of Jilin University, Changchun, Jilin, China.
Source: Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2026 Jun 04; Vol. 17, pp. 1847368. Date of Electronic Publication: 2026 Jun 04 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1664-2392
DOI:10.3389/fendo.2026.1847368