Breast Cancer
Conditions
Brief summary
Purpose: This study aims to develop a non-invasive method to distinguish between luminal and non-luminal breast cancer subtypes using super-resolution ultrasound (SRUS). Currently, subtype classification requires a tissue biopsy, which is invasive and may not fully capture the tumor's biological heterogeneity. Methods: The study retrospectively included 94 patients with histologically confirmed breast cancer who underwent SRUS imaging. Sixteen quantitative features of the tumor microvasculature-such as vessel density, blood flow intensity, and perfusion-were extracted. Three key predictors (fractional weighted vessel density, mean intensity, and perfusion index) were identified and combined into a predictive nomogram. Goal: The goal is to provide clinicians with a non-invasive imaging tool that can help personalize treatment decisions for breast cancer patients before therapy initiation, potentially reducing the need for repeat biopsies.
Interventions
Not applicable- observational study
Sponsors
Study design
Eligibility
Inclusion criteria
Age ≥ 18 years Histologically confirmed invasive breast cancer Underwent super-resolution ultrasound (SRUS) examination between May 2025 and January 2026 Available immunohistochemical data (estrogen receptor, progesterone receptor, HER2, and Ki-67) for molecular subtyping according to the St. Gallen International Expert Consensus
Exclusion criteria
Prior treatment for ipsilateral breast cancer Pregnancy or lactation Severe cardiac, hepatic, or renal insufficiency Psychiatric disorder Inadequate ultrasound image quality precluding reliable SRUS reconstruction
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Molecular subtype of breast cancer (luminal vs. non-luminal) | Baseline (at the time of diagnostic biopsy) | The primary outcome is the binary classification of breast cancer molecular subtype as luminal (including luminal A and luminal B) or non-luminal (including HER2-enriched and triple-negative/basal-like). Subtype assignment is based on immunohistochemical expression of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), and Ki-67, according to the St. Gallen International Expert Consensus. |
Countries
China