Super-Resolution Ultrasound Imaging for Assessing Response to Neoadjuvant Chemotherapy in Breast Cancer

Background and Rationale Breast cancer is the most common malignancy among women worldwide. Neoadjuvant chemotherapy (NAC) is standard for locally advanced breast cancer, aiming to downstage tumors and increase surgical options. Conventional imaging modalities (ultrasound, MRI) have limitations in detecting early microvascular changes and residual disease. Super-resolution ultrasound imaging (SRUS) is an emerging technique based on ultrasound localization microscopy, enabling visualization of microvasculature at micron-scale resolution. It provides quantitative parameters including vessel density, blood volume, vascular complexity, perfusion index, and intensity analysis. Preliminary evidence suggests SRUS can detect early microvascular alterations before morphological changes become apparent, but prospective data in breast cancer NAC response prediction are lacking. Study Design Single-center, prospective, observational, diagnostic study. Patients receive standard NAC per clinical guidelines; no treatment intervention is imposed. The study involves additional SRUS examinations at predefined time points. Model Development and Validation Consecutive eligible patients are enrolled and randomly assigned (7:3 ratio using computer-generated sequence) to: Training set (70%, n=105): for model development, feature selection, and internal optimization. Validation set (30%, n=45): for independent, unbiased performance validation. Allocation is concealed from patients and clinical care team. Analysis of SRUS images and pathological assessment are blinded to clinical data and group assignment. Technical Procedures Equipment: Mindray Resona A20 ultrasound system, probe frequency 5-18 MHz. Contrast agent: 4.8 mL sulfur hexafluoride microbubbles (SonoVue) injected intravenously, followed by 5 mL saline flush. Acquisition: Dynamic image sequences (6 seconds each) are acquired during early arterial phase (10-30 s) and late arterial phase (20-45 s) with breath-holding. Post-processing: SRIPlatform software extracts quantitative parameters: vessel density, blood volume, vascular complexity, perfusion index, intensity, and velocity. Changes from baseline (Δ%) are calculated. Study Timeline V1 (Baseline, within 1 week before NAC): Baseline SRUS. V2 (Early response, 48-72 hours after cycle 1): First follow-up SRUS (key predictive time point). V3 (Mid-treatment, before cycle 4): Second follow-up SRUS. V4 (Surgery, 3-4 weeks after last NAC): Radical breast surgery. V5 (Pathology, 2-4 weeks post-surgery): Pathological complete response (pCR) determination (reference standard). Sample Size Based on an assumed pCR rate of 30%, a two-sided 95% confidence interval width of 0.15 for sensitivity (expected 80%), 10% dropout, and 30% allocation to validation set, total enrollment is 150 patients. The training set provides \~32 pCR events, supporting evaluation of 3-5 candidate predictors (event-per-variable rule: 10:1). Statistical Analysis Software: R 4.3.0 (glmnet, rms, pROC, rmda). Variable screening: Univariate analysis (p\<0.10), then LASSO regression with 10-fold cross-validation (λ.1se) for dimension reduction. Model building: Multivariate logistic regression; coefficients, OR, 95% CI. Internal validation: Bootstrap optimism-corrected AUC. External validation: Apply final model to validation set; assess discrimination, calibration, and clinical utility (decision curve analysis). Reporting: Adherence to TRIPOD statement. Safety and Risk Mitigation SRUS is non-invasive with output within safe limits, equivalent to conventional ultrasound. Risks are minimal (mild discomfort, potential privacy breach). Data are anonymized and stored on encrypted hospital servers. Quality Control Standardized operating procedures for image acquisition and post-processing. Operator training and inter-operator consistency testing. Image quality review by core laboratory (signal-to-noise ratio, tracking stability, coverage of inflow-washout phases). 100% source data verification for key variables. Quarterly internal audits. Ethics and Dissemination Approved by the Institutional Ethics Committee of the First Affiliated Hospital of USTC (West District, Anhui Provincial Cancer Hospital). Conducted in accordance with the Declaration of Helsinki. Written informed consent obtained from all participants. Results will be submitted for publication in peer-reviewed journals regardless of outcome. Study Period March 2026 - March 2028.