Prediction of the Risk of Biochemical Relapse After Radical Prostatectomy for Prostate Cancer Using Radomics on Pre-therapeutic MRI (PREBOP)

Regional University Hospital Center (CHRU)

Status: Completed

Conditions: Prostatic Adenocarcinoma

Study type: Observational

Funder types: Other

Identifiers

NCT04063800

PREBOP (29BRC18.0108)

Details and patient eligibility

About

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).

Enrollment: 195 patients

Sex: Male

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

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

Exclusion criteria

• 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