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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
Phase
Eligibility
Gender
Healthy Volunteers
Minimum Age
Maximum Age
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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Study Stats
Protocol No.
19-002202
Category
Prostate Cancer
Principal Investigator
KYUNG SUNG
Location
- UCLA Westwood