Risk stratification system for sentinel lymph node metastasis in clinically node-negative early breast cancer with sonographically abnormal but cytologically negative axilla

For clinically node-negative (cN0) breast cancer patients with sonographically suspicious lymph nodes (iN+) but negative fine-needle aspiration cytology (N0(f)), sentinel lymph node biopsy (SLNB) remains the first-line approach for axillary staging. However, most of these patients ultimately demonstrate SLN-negative pathology, highlighting a critical need for a risk stratification to safely reduce unnecessary SLNB procedures. To address this unmet clinical challenge, we developed a preoperative risk stratification model integrating clinicopathological and ultrasonographic features. This prospective cohort study analyzed 369 consecutive iN+/N0(f) early breast cancer patients who underwent contrast-enhanced ultrasound (CEUS)-guided SLN fine-needle aspiration between September 2022 and December 2024. Multivariable logistic regression identified five independent predictors of SLN metastasis: cT2 staging, tumor grade III, conventional ultrasound type III, CEUS pattern III/IV, and abnormal sentinel lymphatic channel morphology. The resultant nomogram demonstrated good discrimination, with AUCs of 0.83 (95% CI: 0.77-0.89) and 0.82 (95% CI: 0.71-0.92) in training and temporal validation cohorts, respectively. The nomogram-based risk stratification system demonstrated good clinical utility: the very-low-risk subgroup exhibited only 2.6% SLN-positive incidence (2/76), achieving a negative predictive value of 97.4%, with no macrometastases observed in SLN-positive cases. This risk stratification system provides a clinically implementable method for personalized axillary management, improving preoperative identification of iN+/N0(f) patients likely to benefit from SLNB exemption.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-12-24
DOI
https://doi.org/10.1038/s41598-025-28047-w
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Risk stratification system for sentinel lymph node metastasis in clinically node-negative early breast cancer with sonographically abnormal but cytologically negative axilla

Xiu Juan Zhang, Q Ye, Wenjin Lin, Zhenhu Lin et al.
Scientific Reports
Breast Cancer Treatment Studies
article

Risk stratification system for sentinel lymph node metastasis in clinically node-negative early breast cancer with sonographically abnormal but cytologically negative axilla

Xiu Juan Zhang, Q Ye, Wenjin Lin, Zhenhu Lin, Rongxi Liang, Junrong Zhang
article en

Abstract

For clinically node-negative (cN0) breast cancer patients with sonographically suspicious lymph nodes (iN+) but negative fine-needle aspiration cytology (N0(f)), sentinel lymph node biopsy (SLNB) remains the first-line approach for axillary staging. However, most of these patients ultimately demonstrate SLN-negative pathology, highlighting a critical need for a risk stratification to safely reduce unnecessary SLNB procedures. To address this unmet clinical challenge, we developed a preoperative risk stratification model integrating clinicopathological and ultrasonographic features. This prospective cohort study analyzed 369 consecutive iN+/N0(f) early breast cancer patients who underwent contrast-enhanced ultrasound (CEUS)-guided SLN fine-needle aspiration between September 2022 and December 2024. Multivariable logistic regression identified five independent predictors of SLN metastasis: cT2 staging, tumor grade III, conventional ultrasound type III, CEUS pattern III/IV, and abnormal sentinel lymphatic channel morphology. The resultant nomogram demonstrated good discrimination, with AUCs of 0.83 (95% CI: 0.77-0.89) and 0.82 (95% CI: 0.71-0.92) in training and temporal validation cohorts, respectively. The nomogram-based risk stratification system demonstrated good clinical utility: the very-low-risk subgroup exhibited only 2.6% SLN-positive incidence (2/76), achieving a negative predictive value of 97.4%, with no macrometastases observed in SLN-positive cases. This risk stratification system provides a clinically implementable method for personalized axillary management, improving preoperative identification of iN+/N0(f) patients likely to benefit from SLNB exemption.

Scientific ReportsVol. 15(1)
Fujian Medical University (CN), Union Hospital (CN)
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 33%
Breast Cancer Treatment Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.