NCT02618200

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

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
2

participants targeted

Target at below P25 for not_applicable prostate-cancer

Timeline
Completed

Started Feb 2016

Shorter than P25 for not_applicable prostate-cancer

Geographic Reach
1 country

1 active site

Status
completed

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

Completed
4 days until next milestone

First Posted

Study publicly available on registry

December 1, 2015

Completed
2 months until next milestone

Study Start

First participant enrolled

February 1, 2016

Completed
1.6 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 31, 2017

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

August 31, 2017

Completed
Last Updated

December 19, 2025

Status Verified

December 1, 2025

Enrollment Period

1.6 years

First QC Date

November 27, 2015

Last Update Submit

December 13, 2025

Conditions

Keywords

Prostate cancerComputer-Aided Diagnosis

Outcome Measures

Primary Outcomes (1)

  • Obtention of 3D ultrasound images

    the day before radical prostatectomy

Study Arms (1)

3D prostate ultrasound

EXPERIMENTAL

3D prostate ultrasound will be performed in patients the day before radical prostatectomy

Device: 3D prostate ultrasound

Interventions

3D prostate ultrasound

Eligibility Criteria

Age18 Years+
Sexmale
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

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

Location

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.

  • Couchoux 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.

MeSH Terms

Conditions

Prostatic Neoplasms

Condition Hierarchy (Ancestors)

Genital Neoplasms, MaleUrogenital NeoplasmsNeoplasms by SiteNeoplasmsGenital Diseases, MaleGenital DiseasesUrogenital DiseasesProstatic DiseasesMale Urogenital Diseases

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

Locations