Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification

About

Brief Summary

This study evaluates how new magnetic resonance imaging (MRI) and artificial intelligence techniques improve the image quality and quantitative information for future prostate MRI exams in patients with suspicious of confirmed prostate cancer. The MRI and artificial intelligence techniques developed in this study may improve the accuracy in diagnosing prostate cancer in the future using less invasive techniques than what is currently used.

Study Type

Observational

Phase

N/A

Eligibility

Gender

Male

Healthy Volunteers

No

Minimum Age

18 Years

Maximum Age

N/A

Inclusion Criteria:

Male patients 18 years of age and older
Clinical suspicion of prostate cancer or biopsy-confirmed prostate cancer
Undergone or undergoing multi-parametric 3 T prostate MRI at the University of California at Los Angeles (UCLA)
Ability to provide consent

Exclusion Criteria:

Contraindications to MRI (e.g., cardiac devices, prosthetic valves, severe claustrophobia)
Contraindications to gadolinium contrast-based agents other than the possibility of an allergic reaction to the gadolinium contrast-based agent
Prior radiotherapy

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