Predicting three or more metastatic nodes using contrast-enhanced lymphatic US findings in early breast cancer
- Zihan Niu 1, Yunxia Hao 2, Yuanjing Gao 1, Jing Zhang 1, Mengsu Xiao 1, Feng Mao 3, Yidong Zhou 3, Ligang Cui 2, Yuxin Jiang 1, Qingli Zhu 4
- Zihan Niu 1, Yunxia Hao 2, Yuanjing Gao 1
- 1Department of Ultrasound, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China.
- 2Department of Ultrasound, Peking University Third Hospital, Haidian District, 49 North Garden Road, Beijing, 100191, People's Republic of China.
- 3Department of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, No. 1 Shuaifuyuan, Dongcheng District, Beijing, 100730, People's Republic of China.
- 4Department of Ultrasound, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China. zqlpumch@126.com.
- 0Department of Ultrasound, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, People's Republic of China.
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View abstract on PubMed
Summary
This summary is machine-generated.A new nomogram accurately predicts axillary lymph node metastasis in early breast cancer using contrast-enhanced lymphatic ultrasound and grayscale findings of sentinel lymph nodes. This tool aids in preoperative assessment of axillary tumor burden for better treatment decisions.
Area Of Science
- Oncology
- Radiology
- Surgical Oncology
Background
- Accurate staging of axillary lymph nodes is crucial for early breast cancer treatment decisions.
- Sentinel lymph node biopsy (SLNB) is standard, but predicting extensive nodal involvement preoperatively remains challenging.
- Current methods may not sufficiently identify patients with significant axillary burden, potentially leading to overtreatment or undertreatment.
Purpose Of The Study
- To develop and validate a predictive nomogram for ≥ 3 metastatic axillary lymph nodes (ALNs) in early breast cancer.
- To integrate clinicopathologic data with contrast-enhanced (CE) lymphatic ultrasound and grayscale findings of sentinel lymph nodes (SLNs).
- To improve preoperative assessment of axillary tumor burden in patients without palpable adenopathy.
Main Methods
- A prospective cohort study involving women with T1-2N0 invasive breast cancer undergoing CE lymphatic ultrasound.
- Development and validation cohorts established from two centers (Center 1: development/internal validation; Center 2: external validation).
- Statistical analysis using logistic regression to identify predictors and assess nomogram performance via AUC and calibration curves.
Main Results
- CE lymphatic ultrasound findings (no enhancement, diffuse/focal eccentric cortical thickening, absent hilum) were independently associated with ≥ 3 metastatic ALNs.
- The developed nomogram achieved a high AUC of 0.88, outperforming grayscale or CE lymphatic US alone.
- Excellent calibration (slope 1.0) was observed in validation cohorts, indicating reliable predictions.
Conclusions
- A nomogram combining CE lymphatic and grayscale US findings of SLNs effectively identifies early breast cancer patients with high axillary tumor burden preoperatively.
- This tool aids in multidisciplinary treatment decision-making, particularly relevant in the context of evolving axillary staging guidelines (e.g., Z0011 trial).
- The nomogram demonstrates high diagnostic value and applicability for preoperative risk stratification.
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