NCT04063800

Brief Summary

With 50% of post-operative biochemical failure, efficient predictive models are needed to guide post-operative management. Radiomic features are quantitative features extracted from medical imaging, supposed to be correlated with tumor heterogeneity. We aim to build and test three predictive models (clinical, radiomic and combined models).

Trial Health

87
On Track

Trial Health Score

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

Enrollment
195

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Jun 2018

Shorter than P25 for all trials

Geographic Reach
1 country

2 active sites

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

Study Start

First participant enrolled

June 26, 2018

Completed
2 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 28, 2018

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

August 28, 2018

Completed
12 months until next milestone

First Submitted

Initial submission to the registry

August 19, 2019

Completed
2 days until next milestone

First Posted

Study publicly available on registry

August 21, 2019

Completed
Last Updated

September 12, 2019

Status Verified

August 1, 2019

Enrollment Period

2 months

First QC Date

August 19, 2019

Last Update Submit

September 11, 2019

Conditions

Outcome Measures

Primary Outcomes (1)

  • Prediction of biochemical failure

    Comparison of AUCs between each predictive model

    From the date of surgery until data collection (up to 100 months)

Secondary Outcomes (1)

  • Prediction of survival without biochemical failure

    From the date of surgery until data collection (up to 100 months)

Eligibility Criteria

Age18 Years+
Sexmale(Gender-based eligibility)
Gender Eligibility DetailsMale patients
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

\- Patients with high-risk prostate cancers who underwent pre-operative prostate MRI followed by radical prostatectomy +/- lymphadenectomy

You may qualify if:

  • Age \> 18yo
  • Patients underwent radical prostatectomy
  • High-risk prostate cancers: at least 1 criteria (pt3a/pT3b/pT4, R1, Gleason score \> 7)

You may not qualify if:

  • No available pre-operative MRI
  • No analyzable pre-operative MRI
  • proof of lymph-node involvement (cN1/2 or pN1/2)
  • post-operative PSA \> 0.04ng/mL

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

CHRU de Brest

Brest, Brittany Region, 29609, France

Location

Centre Hospitalier de Cornouaille

Quimper, Brittany Region, 29000, France

Location

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

August 19, 2019

First Posted

August 21, 2019

Study Start

June 26, 2018

Primary Completion

August 28, 2018

Study Completion

August 28, 2018

Last Updated

September 12, 2019

Record last verified: 2019-08

Data Sharing

IPD Sharing
Will share

All collected data that underlie results in a publication

Shared Documents
STUDY PROTOCOL
Time Frame
Data will be available beginning one year and ending following the publication
Access Criteria
Data access requests will be reviewed by the internal committee of Brest UH. Requestors will be required to sign and complete a data access agreement.

Locations