Improving prostate cancer classification using MRI and AI

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This study evaluates the integration of advanced magnetic resonance imaging (MRI) techniques and artificial intelligence to enhance the accuracy of prostate cancer diagnosis. It aims to develop quantitative analysis methods that reduce variability in MRI results and improve the detection of clinically significant prostate cancer. The study involves both retrospective review of medical records and prospective MRI imaging sessions at UCLA. By utilizing multi-class deep learning models, the research seeks to systematically analyze MRI features for better classification of prostate cancer.

Why it matters

Who can join: the full rules

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

Where it's running

• UCLA / Jonsson Comprehensive Cancer Center
  Los Angeles, California, United States Recruiting

Study contacts

• Principal investigator: Kyung H Sung, PhD — UCLA / Jonsson Comprehensive Cancer Center
• Study coordinator: Nashla Barroso
• Email: nbarroso@mednet.ucla.edu
• Phone: (310) 794-7952

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

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• GET FIT Together: a socially enhanced exercise program for older men with prostate cancer

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• Improved MRI methods to distinguish benign from cancerous pelvic findings

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.