Non-Invasive Molecular Subtyping of Breast Cancer Via Super-Resolution Ultrasound Microvasucular Mapping: A Robust Nomgram With Internal Validation
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 94
- 试验地点
- 1
研究概览
简要总结
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- Female
- 接受健康志愿者
- 否
入选标准
- •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
排除标准
- •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
研究者
Wang Xiaojing
Chief Physician.
Anhui Provincial Cancer Hospital