Spectral Ultrasound Combined With Clinical Pathological Parameters in Prediction of Axillary Lymph Node Metastasis in Breast Cancer
View abstract on PubMed
Summary
This summary is machine-generated.Spectral Doppler ultrasound combined with Ki-67 and quantitative parameters accurately predicts breast cancer axillary lymph node metastasis. This combined approach offers superior prediction compared to ultrasound alone.
Area Of Science
- Oncology
- Medical Imaging
- Biomarkers
Background
- Axillary lymph node metastasis is a critical prognostic factor in breast cancer.
- Accurate prediction of metastasis is essential for guiding treatment decisions.
Purpose Of The Study
- To evaluate the clinical utility of a nomogram incorporating spectral Doppler ultrasound and clinicopathological parameters for predicting axillary lymph node metastasis in breast cancer.
- To develop and validate a predictive model for breast cancer axillary lymph node involvement.
Main Methods
- Prospective data collection from 240 breast cancer patients, including clinicopathological and ultrasonic features.
- Univariate and multivariate logistic regression analyses to identify risk factors for axillary lymph node metastasis.
- Development and validation of a prediction model using receiver operating characteristic (ROC) curve and calibration curve analyses.
Main Results
- Tumor size, Ki-67, axillary ultrasound findings, spectral quantitative parameters, internal echo, and calcification were associated with lymph node metastasis.
- Ki-67, axillary ultrasound, and quantitative spectral parameters (mean of mid-band fit) were identified as independent risk factors.
- The combined model achieved an area under the ROC curve of 0.83 and a Harrell C-index of 0.83, indicating strong predictive ability.
Conclusions
- Combining axillary ultrasound with Ki-67 and spectral ultrasound parameters provides a powerful tool for predicting axillary lymph node metastasis in breast cancer.
- This integrated approach demonstrates superior predictive performance compared to axillary ultrasound alone.

