Comparative Evaluation of Diffusion Weighted MRI And Ultrasonography In The Detection of Breast Lesions
试验速览
- 阶段
- 不适用
- 状态
- 进行中（未招募）
- 入组人数
- 108
- 试验地点
- 1
- 主要终点
- Sensitivity and Specificity
研究概览
简要总结
This study aims to conduct a comparative evaluation of Diffusion Weighted MRI (DW-MRI) and Ultrasonography (US) in detecting breast lesions. Breast cancer remains a leading cause of cancer-related deaths among women worldwide, necessitating efficient and accurate diagnostic methods. Ultrasonography, a commonly used imaging modality, provides valuable insights into breast lesions but has limitations in sensitivity and specificity.
详细描述
Diffusion Weighted MRI, on the other hand, shows potential for higher accuracy in identifying malignant versus benign lesions due to its ability to assess tissue cellularity and integrity non-invasively. This research will involve a specified number of female participants within a defined age range, focusing on the comparative effectiveness, sensitivity, and specificity of DW-MRI and US. The findings are expected to contribute valuable insights into optimizing breast cancer diagnostic protocols, ultimately aiding in earlier detection, better patient outcomes, and possibly reducing the need for invasive biopsy procedures.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Control
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 80 Years（Adult, Older Adult）
- 性别
- Female
- 接受健康志愿者
- 是
入选标准
- •Women with suspected breast lesions
- •Breast feeding woman
- •Referred for MRI examination.
- •Age 18 years or older
- •Ability to provide informed consent.
排除标准
- •Contraindications to MRI or contrast agent
- •Previous breast Implant
- •Early Pregnancy
- •Exclusion criteria
结局指标
主要结局
Sensitivity and Specificity
时间窗: 12 Months
* Ultrasonography (USG): BI-RADS classification. * Diffusion Weighted MRI (DWI): Apparent Diffusion Coefficient (ADC) values. * Scales/Measurements: * Sensitivity (%): Formula: (True Positives) ÷ (True Positives + False Negatives) × 100 * Specificity (%): Formula: (True Negatives) ÷ (True Negatives + False Positives) × 100
次要结局
未报告次要终点
研究者
Muhammad Naveed Babur
Principal Investigator
Superior University