Advanced DL-based T2w and DWI MR Sequences for Prostate Imaging
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 34
- 试验地点
- 2
- 主要终点
- Change in number of suspicious nodule prostate detection before and after rapid T2-weighted
研究概览
简要总结
MR prostate exam is essential for the diagnosis, workup and follow-up of prostate cancer. It allows to detect subclinical prostate cancer following an increase in the level of PSA. The investigators can score the lesion according to the PIRADS classification and obtain an estimate of lesion malignancy. To perform this classification, T2 and DWI sequences are essential.
Detection and characterization of malignant lesion is important to address appropriate patient care pathway. The purpose of this project is to evaluate novel deep learning (DL) T2-weighted TSE (T2DL) and Diffusion (DWIDL) sequences for prostate MR exam and investigate its impact on diagnostic, examination time, image quality, and PI-RADS classification compared to standard T2-weighted TSE (T2S) and standard Diffusion (DWIS) sequences.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Diagnostic
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Age ≥ 18 ans
- •Healthy subject without history of hepatic disease
- •Patient addressed for an prostate MRI
- •Ability to give consent
排除标准
- •claustrophobia,
- •major obesity (>140 kg),
- •Patient under guardianship or curators
- •Age < 18 years,
- •History of prostatectomy or irradiation of the prostate
- •any contraindication to MRI exam
结局指标
主要结局
Change in number of suspicious nodule prostate detection before and after rapid T2-weighted
时间窗: 1 year
次要结局
未报告次要终点