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MR Fingerprinting for Diagnostic of Prostate Cancer

N

Norwegian University of Science and Technology

Status

Completed

Conditions

Prostate Cancer
Magnetic Resonance Imaging

Study type

Observational

Funder types

Other

Identifiers

Details and patient eligibility

About

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.

Full 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.

Enrollment

203 patients

Sex

Male

Ages

18 to 100 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Men referred to an MR examination for prostate cancer diagnostic

Exclusion criteria

  • None

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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