Anhui Provincial Cancer Hospital
Hefei, Anhui, 230001, China
NCT Number: NCT07581054
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.
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Notify Me18 year and older
Female
Observational
Hefei, Anhui, 230001, China
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
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
Not applicable- observational study
Time frame: 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.
Anhui Provincial Cancer Hospital
Other
Non-Invasive Molecular Subtyping of Breast Cancer Via Super-Resolution Ultrasound Microvasucular Mapping: A Robust Nomgram With Internal Validation
Acronym: SRUS-Map
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