Clinical trial · Interventional
Creation of an Image Database for the Development of a Computer Aided Diagnostic (CAD) System in Patients With Prostate Cancer
Creation of a Multimodality Image Database (MRI + Ultrasound) for the Development of a Computer Aided Diagnostic (CAD) System in Patients With Prostate Cancer
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Prostate Cancer | Malignant Prostate Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| 3D prostate ultrasound | Device | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- type
- EXPERIMENTAL
- label
- 3D prostate ultrasound
- description
- 3D prostate ultrasound will be performed in patients the day before radical prostatectomy
- interventionNames
- Device: 3D prostate ultrasound
Primary outcomes (1)
- measure
- Obtention of 3D ultrasound images
- timeFrame
- the day before radical prostatectomy
Eligibility
Eligibility (as posted)
- Sex
- Male
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * 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 Exclusion Criteria: * 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
References
Publications (2)
- RESULTJaouen 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 37345961
- RESULTCouchoux 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 38493072