Imaging-Pathologic Correlation of Breast Cancer: Mammographic and Sonographic Features in Relation to Molecular Classification
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 122
研究概览
简要总结
This study aims to evaluate the role of mammographic and sonographic features as non-invasive imaging tools in predicting the molecular subtypes of breast cancer, in correlation with histopathological findings.
详细描述
Breast cancer is the most prevalent form of cancer among women. In the Middle East, it is the primary reason for cancer-related deaths among women
Breast cancer has been classified into various histopathological and molecular subtypes based on its hormone receptor status. Their biological behaviour and prognosis depend on these hormonal subtypes.
Based on gene expression patterns, breast cancer has been classified into five different molecular subtypes by the St. Gallen International Expert Consensus. They include:
- Luminal A (LA).
- Human epidermal growth factor receptor 2 (HER2) enriched.
- Luminal B (LB) [LB HER2-, LB HER2+].
- Basal-like (triple-negative). The detection of these hormone receptors requires immunohistochemistry (IHC), which is an invasive, expensive method and may not be available in all centres, especially in less developed countries
Hence, it is important to establish imaging signatures that can play an adjunct role in predicting these subtypes and assist in pre-treatment planning (4)
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Cross Sectional
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
- •The patients having BI-RADS IV, V, VI proven breast cancer.
排除标准
- •Patients with post-neoadjuvant therapy and a prior history of breast cancer in the same breast with recurrence.
研究者
Mai Abdelbaset Ahmed Elshahir Attia Taha
Dr
Assiut University