Evaluation of Rapid T2-weighted and DWI MR Sequences Reconstructed by Deep Learning for Prostate Imaging
- Conditions
- Prostate Cancer
- Registration Number
- NCT06094322
- Lead Sponsor
- Centre Hospitalier Universitaire, Amiens
- Brief Summary
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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 3
- Age ≥ 18 ans
- Healthy subject without history of hepatic disease
- Patient addressed for an prostate MRI
- Ability to give consent
- claustrophobia,
- major obesity (>140 kg),
- Patient under guardianship or curators
- Age < 18 years,
- Women,
- History of prostatectomy or irradiation of the prostate
- any contraindication to MRI exam
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Primary Outcome Measures
Name Time Method Change in number of suspicious nodule prostate detection before and after rapid T2-weighted 1 year
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Centre Hospitalier Universitaire d'Amiens
🇫🇷Amiens, Picardie, France