Adenocarcinoma of the Prostate
Conditions
Keywords
MRI, Lymph node
Brief summary
Despite lymph node involvement (LNI) being one of the main prognostic factors in patients with prostate cancer (PCa), pelvic lymph node irradiation remains debated, possibly due to an insufficient selection of patients. Significant advances in LNI risk modelling have been achieved with the addition of visual interpretation of magnetic resonance imaging (MRI) data, but it is likely that quantitative analysis could further improve prediction models. In this study, the investigators aimed to develop and internally validate a novel LNI risk prediction model based on radiomic features extracted from pre-operative multimodal MRI.
Interventions
None listed
Sponsors
University Hospital, Brest
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
MALE
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Histologically proven adenocarcinoma of the prostate treated by prostatectomy with extensive lymph node dissection * Available pre-operative +/- PET choline
Exclusion criteria
* Unanalyzable pre-operative MRI
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Predicted risk of lymph-node involvement vs Briganti 2017 | immediately after the intervention/procedure/surgery | Comparison between the predicted risk of lymph node involvement based on the new algorithm and the predicted risk with the Briganti 2017 |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Predicted risk of lymph-node involvement vs Briganti 2012, Briganti 2018, Briganti 2019 and MSKCC | immediately after the intervention/procedure/surgery | Comparison between the predicted risk of lymph node involvement based on the new algorithm and the predicted risk with the Briganti 2012, Briganti 2018, Briganti 2019 and MSKCC |
| Biochemical recurrence free survival | immediately after the intervention/procedure/surgery | Prediction of Biochemical recurrence free survival |
| Extra-prostatic disease | immediately after the intervention/procedure/surgery | Prediction of Extra-prostatic disease |
| Seminal vesicle invasion | immediately after the intervention/procedure/surgery | Prediction of Seminal vesicle invasion |
| Automatic segmentation of the index lesion | immediately after the intervention/procedure/surgery | Comparison between a manual segmentation of the index lesion and an automatic segmentation |
Countries
France
Contacts
Primary ContactUlrike Ulrike Schick
Outcome results
None listed