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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).
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| Measure | Description | Time Frame |
|---|---|---|
| Prediction of biochemical failure | Comparison of AUCs between each predictive model | From the date of surgery until data collection (up to 100 months) |
| Measure | Description | Time Frame |
|---|---|---|
| Prediction of survival without biochemical failure | Survival analysis: comparison of Kaplan-Meier curves | From the date of surgery until data collection (up to 100 months) |
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Inclusion Criteria:
Exclusion Criteria:
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Male patients
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- Patients with high-risk prostate cancers who underwent pre-operative prostate MRI followed by radical prostatectomy +/- lymphadenectomy
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| CHRU de Brest | Brest | Brittany Region | 29609 | France | ||
| Centre Hospitalier de Cornouaille |
All collected data that underlie results in a publication
Data will be available beginning one year and ending following the publication
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.
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| Quimper |
| Brittany Region |
| 29000 |
| France |