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Clinical Trial Summary

The diagnostic pathway for suspected prostate cancer relies greatly on radiological imaging. Establishment of magnetic resonance fingerprinting (MRF) has the potential to significantly improve patient experience and outcomes. MRF is a novel and innovative approach to a long-standing challenge of recording and reconstructing MR image The aim is to conduct a clinical pilot study in which patients will be scanned using the newly refined MRF sequence in addition to the conventional scanning protocols.


Clinical Trial Description

The patient is at the center of all medical interventions and innovations. For those with prostate cancer, the pathway for new patients has scope for improvement. MRI is an important and necessary part of that pathway, but scanning capacity is often stretched, and there is need for effective and efficient scan techniques. Beyond mere detection of lesions, the modality has potential to differentiate and categorize the clinical significance of prostate cancer. By virtue of quantitative imaging, the determination of biomarkers could lead to a non-invasive method of prostate cancer diagnosis. The Prostate Imaging Reporting and Data System (PIRADS) scoring is a standardized system of acquiring and categorizing multi-parametric-MR images (mp-MRI) of the prostate. The PIRADS system works to grade to clinical significance of prostate cancer, however this relies on qualitative information. Patients referred for a typical MRI of the prostate will in addition receive the MR Fingerprinting scan, which will add about 8 minutes to their time on the scanner. The direct comparison of the fingerprint maps and multi-parametric images can then be made. Conclusions will be drawn with focus to potential improvement of the PIRADS protocol. The main aim of the project is therefor to implement, validate, and optimize sequences for MR Fingerprinting of the prostate. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT05498623
Study type Observational
Source Norwegian University of Science and Technology
Contact
Status Active, not recruiting
Phase
Start date September 1, 2022
Completion date December 2024

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