Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification
Status
RECRUITING
Phase
Age
≥ 18 Years
Enrollments
275Conditions
Prostate CarcinomaSummary
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.
Detailed Description
PRIMARY OBJECTIVES:
I. To develop and evaluate quantitative dynamic contrast-enhanced (DCE)-MRI analysis techniques that minimize patient- and scanner-specific variabilities in the calculation of quantitative parameters.
II. To develop and evaluate diffusion weighted imaging (DWI) methods that reduce prostate geometric distortion due to patient- and scanner-specific susceptibility and eddy current effects.
III. To develop and evaluate multi-class deep learning models that systematically integrate quantitative multi-parametric (mp)-MRI features for accurate detection and classification of clinically significant prostate cancer (csPCa).
OUTLINE:
RETROSPECTIVE: Patients’ medical records are reviewed.
PROSPECTIVE: Patients undergo additional 3 Tesla (T) MRI imaging over 30 minutes before, during, or after their standard of care 3T MRI for a total of 1.5 hours.
Locations
1 location Found with status Recruiting
Status
- RECRUITING
Contact Person
- Nashla Barroso
- 310-794-7952
- [email protected]
Principal Investigator
- Kyung H Sung, PhD
Eligibility Criteria
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
Study Plan
Observational (electronic health record review, 3 T MRI)
RETROSPECTIVE: Patients' medical records are reviewed.nnPROSPECTIVE: Patients undergo additional 3T MRI imaging over 30 minutes before, during, or after their standard of care 3T MRI for a total of 1.5 hours.
PROCEDURE:
3 Tesla Magnetic Resonance ImagingDescription:
Undergo 3T MRIOTHER:
Electronic Health Record ReviewDescription:
Medical charts are reviewed
Outcome Measures
Primary Outcome Measures
Development of quantitative dynamic contrast (DCE)-enhanced-magnetic resonance imaging (MRI) analysis techniques
Development of diffusion weighted imaging (DWI) methods that reduce prostate geometric distortion
Development of multi-class deep learning models
Timeline
Last Updated
April 16, 2024Start Date
February 21, 2021Today
January 22, 2025Completion Date ( Estimated )
June 1, 2027
Sponsors of this trial
Lead Sponsor
Jonsson Comprehensive Cancer CenterCollaborating Sponsors
National Institutes of Health (NIH), National Cancer Institute (NCI)
RECRUITING 
21 - 64 Years