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Background <p>Sentinel lymph node biopsy (SLNB) is the standard axillary staging method in early-stage breast cancer; however, its associated morbidity and evolving systemic treatment paradigms have prompted reconsideration of its necessity in selected low-risk patients. This study aimed to develop a preoperative nomogram based on ultrasonographic (USG) findings and clinical parameters to predict axillary metastasis risk and define a truly low-risk subgroup eligible for selective SLNB omission.</p> Methods <p>A total of 452 patients with early-stage, clinically node-negative (cN0) invasive breast cancer who underwent upfront surgery between 2010 and 2024 were retrospectively analyzed. Preoperative imaging included axillary USG and ancillary 18F-FDG PET/CT, the latter used solely to exclude patients with hypermetabolic axillary nodes. A multivariate logistic regression model was constructed using clinical T stage, axillary USG findings, tumor location, and multicentricity. Patients with unicentric, non-retroareolar tumors classified as T1a–b or T1c ≤ 1.7&#xa0;cm, and negative axillary USG findings, whose predicted axillary metastasis probability was &lt; 5%, were considered low risk. This threshold was retrospectively tested for clinical validity by assessing the observed false-negative rate (FNR) in the identified low-risk population.</p> Results <p>Axillary USG findings, tumor size, tumor location, and multicentricity were significant predictors of axillary metastasis. The nomogram demonstrated good discriminatory performance, yielding an AUC of 0.816 in the development cohort and 0.830 following internal validation.A total of 123 patients (27.2%) met the criteria for the low-risk group. In this group, the observed macrometastasis rate was 4.1%, and an additional 0.7% had micrometastasis, yielding a total FNR of 4.8%. Aggressive molecular subtypes and premenopausal status were not associated with increased metastasis rates in the low-risk group. However, guideline recommendations emphasize caution when considering SLNB omission in these populations.</p> Conclusion <p>This USG-based preoperative nomogram provides a clinically applicable tool to identify early-stage breast cancer patients with a truly low risk of axillary metastasis, in whom SLNB may be safely omitted. The &lt; 5% predicted probability threshold was confirmed to correspond to an observed FNR &lt; 5%, supporting its clinical validity. Prospective validation studies are warranted to further confirm these findings and optimize axillary management strategies.</p>

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Development of a preoperative nomogram to identify low-risk early-stage breast cancer patients eligible for SLNB omission

  • 期刊论文

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  • 发表日期：

    2025年7月7日

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  • Latif Yilmaz,
  • Tulay Kus,
  • Deniz Esin Tekcan Sanli

摘要

Background

Sentinel lymph node biopsy (SLNB) is the standard axillary staging method in early-stage breast cancer; however, its associated morbidity and evolving systemic treatment paradigms have prompted reconsideration of its necessity in selected low-risk patients. This study aimed to develop a preoperative nomogram based on ultrasonographic (USG) findings and clinical parameters to predict axillary metastasis risk and define a truly low-risk subgroup eligible for selective SLNB omission.

Methods

A total of 452 patients with early-stage, clinically node-negative (cN0) invasive breast cancer who underwent upfront surgery between 2010 and 2024 were retrospectively analyzed. Preoperative imaging included axillary USG and ancillary 18F-FDG PET/CT, the latter used solely to exclude patients with hypermetabolic axillary nodes. A multivariate logistic regression model was constructed using clinical T stage, axillary USG findings, tumor location, and multicentricity. Patients with unicentric, non-retroareolar tumors classified as T1a–b or T1c ≤ 1.7 cm, and negative axillary USG findings, whose predicted axillary metastasis probability was < 5%, were considered low risk. This threshold was retrospectively tested for clinical validity by assessing the observed false-negative rate (FNR) in the identified low-risk population.

Results

Axillary USG findings, tumor size, tumor location, and multicentricity were significant predictors of axillary metastasis. The nomogram demonstrated good discriminatory performance, yielding an AUC of 0.816 in the development cohort and 0.830 following internal validation.A total of 123 patients (27.2%) met the criteria for the low-risk group. In this group, the observed macrometastasis rate was 4.1%, and an additional 0.7% had micrometastasis, yielding a total FNR of 4.8%. Aggressive molecular subtypes and premenopausal status were not associated with increased metastasis rates in the low-risk group. However, guideline recommendations emphasize caution when considering SLNB omission in these populations.

Conclusion

This USG-based preoperative nomogram provides a clinically applicable tool to identify early-stage breast cancer patients with a truly low risk of axillary metastasis, in whom SLNB may be safely omitted. The < 5% predicted probability threshold was confirmed to correspond to an observed FNR < 5%, supporting its clinical validity. Prospective validation studies are warranted to further confirm these findings and optimize axillary management strategies.