Evaluation of Rapid T2-weighted and DWI MR Sequences Reconstructed by Deep Learning for Prostate Imaging
DLRPRO
Advanced DL-based T2w and DWI MR Sequences for Prostate Imaging
1 other identifier
interventional
34
1 country
1
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable prostate-cancer
Started Jul 2022
Typical duration for not_applicable prostate-cancer
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 28, 2022
CompletedFirst Submitted
Initial submission to the registry
October 17, 2023
CompletedFirst Posted
Study publicly available on registry
October 23, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 9, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2025
CompletedDecember 8, 2025
December 1, 2025
1.7 years
October 17, 2023
December 2, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Change in number of suspicious nodule prostate detection before and after rapid T2-weighted
1 year
Interventions
Subjects will lie in supine position. The systematic use of a headset will reduce the acoustic noise inherent to the machine. We are going to carry out the standard MR prostate protocol which patients usually benefit from in clinical routine. This protocol consists of morphological sequences (T2 weighting with spin echo readout), Diffusion MR and dynamic contrast-enhanced sequences. We will then perform an additional faster enhanced T2-weighting SE and DWI sequences combined with Deep Learning reconstruction
Eligibility Criteria
You may qualify if:
- Age ≥ 18 ans
- Healthy subject without history of hepatic disease
- Patient addressed for an prostate MRI
- Ability to give consent
You may not qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Centre Hospitalier Universitaire d'Amiens
Amiens, Picardie, 80000, France
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
October 17, 2023
First Posted
October 23, 2023
Study Start
July 28, 2022
Primary Completion
April 9, 2024
Study Completion
December 1, 2025
Last Updated
December 8, 2025
Record last verified: 2025-12
Data Sharing
- IPD Sharing
- Will not share