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Automatic Detection in MRI of Prostate Cancer: DAICAP
Sponsor: Assistance Publique - Hôpitaux de Paris
Summary
Prostate cancer is the most common cancer in France and the 3rd most common cancer death in humans. The introduction of pre-biopsy MRI has considerably improved the quality of prostate cancer (PCa) diagnosis by increasing the detection of clinically significant PCa , and by reducing the number of unnecessary biopsies.However the diagnostic performance of Prostate MRI is highly dependent on reader experience that limits the population based delivery of high quality multiparametricMRI (mpMRI) driven PCa diagnosis. The main objective of this study is the development and the test of diagnostic accuracy of an AI algorithm for the detection of cancerous prostatic lesions from mpMRI images. The secondary objective is the development and the test of diagnostic accuracy of an AI algorithm to predict tumor aggressiveness from mpMRI images.
Key Details
Gender
MALE
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
1250
Start Date
2022-06-21
Completion Date
2024-12
Last Updated
2024-05-20
Healthy Volunteers
No
Locations (1)
La Pitié Salpétrière Hospital
Paris, France