Creation of an Image Database for the Development of a Computer Aided Diagnostic (CAD) System in Patients With Prostate Cancer
Echo-CAD
Creation of a Multimodality Image Database (MRI + Ultrasound) for the Development of a Computer Aided Diagnostic (CAD) System in Patients With Prostate Cancer
1 other identifier
interventional
2
1 country
1
Brief Summary
Prostate cancer is currently detected by ultrasound-guided biopsy. Computer-aided diagnostic (CAD) systems based on multiparametric MRI are now capable of detecting most aggressive cancer foci non-invasively, but additional progress is needed for the technique to be accepted in clinical practice. We hypothesize that combining MRI and ultrasound imaging can improve the detection of cancerous tumors. As a first step in this direction, we need to create a database with MR images, 3D ultrasound images, and corresponding histopathology results, in patients treated by radical prostatectomy for prostate cancer. This is the purpose of the present study. In a later stage (outside the scope of this study), we will be learning how to combine these images to best recognize cancerous tumors, we will use that knowledge to develop a new CAD system, and we will assess the performance of the new CAD. We expect this future system to improve the detection of prostate cancer and to reduce the number of patients requiring biopsy.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable prostate-cancer
Started Feb 2016
Shorter than P25 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
First Submitted
Initial submission to the registry
November 27, 2015
CompletedFirst Posted
Study publicly available on registry
December 1, 2015
CompletedStudy Start
First participant enrolled
February 1, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 31, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
August 31, 2017
CompletedDecember 19, 2025
December 1, 2025
1.6 years
November 27, 2015
December 13, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Obtention of 3D ultrasound images
the day before radical prostatectomy
Study Arms (1)
3D prostate ultrasound
EXPERIMENTAL3D prostate ultrasound will be performed in patients the day before radical prostatectomy
Interventions
Eligibility Criteria
You may qualify if:
- Patient referred for radical prostatectomy
- Patient with multiparametric prostate MRI (3T) performed in our institution (Edouard Herriot Hospital) in the year preceding the surgery
- Informed consent signed
- Patient affiliated to the French Health Insurance system
You may not qualify if:
- History of prostatic surgery or radiation therapy (prostatic or pelvic)
- History of hormone therapy for prostate cancer
- Previous surgery of the abdomino-perineal region, or other contraindication for transrectal ultrasound
- Patient on protection of the court, under supervision or under trusteeship
- Inability to express a consent
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Hôpital Edouard Herriot - Service Service de radiologie
Lyon, 69437, France
Related Publications (2)
Jaouen T, Souchon R, Moldovan PC, Bratan F, Duran A, Hoang-Dinh A, Di Franco F, Debeer S, Dubreuil-Chambardel M, Arfi N, Ruffion A, Colombel M, Crouzet S, Gonindard-Melodelima C, Rouviere O. Characterization of high-grade prostate cancer at multiparametric MRI using a radiomic-based computer-aided diagnosis system as standalone and second reader. Diagn Interv Imaging. 2023 Oct;104(10):465-476. doi: 10.1016/j.diii.2023.04.006. Epub 2023 May 20.
PMID: 37345961RESULTCouchoux T, Jaouen T, Melodelima-Gonindard C, Baseilhac P, Branchu A, Arfi N, Aziza R, Barry Delongchamps N, Bladou F, Bratan F, Brunelle S, Colin P, Correas JM, Cornud F, Descotes JL, Eschwege P, Fiard G, Guillaume B, Grange R, Grenier N, Lang H, Lefevre F, Malavaud B, Marcelin C, Moldovan PC, Mottet N, Mozer P, Potiron E, Portalez D, Puech P, Renard-Penna R, Roumiguie M, Roy C, Timsit MO, Tricard T, Villers A, Walz J, Debeer S, Mansuy A, Mege-Lechevallier F, Decaussin-Petrucci M, Badet L, Colombel M, Ruffion A, Crouzet S, Rabilloud M, Souchon R, Rouviere O. Performance of a Region of Interest-based Algorithm in Diagnosing International Society of Urological Pathology Grade Group >/=2 Prostate Cancer on the MRI-FIRST Database-CAD-FIRST Study. Eur Urol Oncol. 2024 Oct;7(5):1113-1122. doi: 10.1016/j.euo.2024.03.003. Epub 2024 Mar 16.
PMID: 38493072RESULT
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
November 27, 2015
First Posted
December 1, 2015
Study Start
February 1, 2016
Primary Completion
August 31, 2017
Study Completion
August 31, 2017
Last Updated
December 19, 2025
Record last verified: 2025-12