AI Technologies for Enhanced and Celerated High-Field WB-MRI (AITECH-MRI)

June 25, 2026 updated by: Antonio Esposito, IRCCS San Raffaele
Single-center, cross-sectional observational study assessing the feasibility of advanced accelerated MRI sequences versus standard ones in terms of image quality, diagnostic reliability, and acquisition time.

Study Overview

Status

Not yet recruiting

Study Type

Observational

Enrollment (Estimated)

600

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Consecutive adults (≥18 years) admitted to the Advanced Imaging for Personalized Medicine Unit for screening WB-MRI, including a male subgroup undergoing prostate-focused imaging to rule out malignancy. Subjects refusing consent, with claustrophobia, or with metallic implants compromising image quality are excluded.

Description

Inclusion Criteria:

  • Consecutive adults (≥18 y.o.) admitted to the UO for W MRI for screening procedure.
  • Consecutive adult male patients (≥18 y.o.) admitted to the UO for WB-MRI for screening procedure and focus on prostate.

Exclusion Criteria:

  • refused to consent
  • claustrophobia
  • metal prosthesis potentially affecting image quality

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Image quality
Time Frame: 30 months
Comparison between standard and accelerated MRI sequences in terms of diagnostic accuracy, acquisition time.
30 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Image quality - subjective
Time Frame: 30-36 months
Likert-scale evaluation of images between independent readers with different levvels of experience
30-36 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

July 1, 2026

Primary Completion (Estimated)

November 1, 2028

Study Completion (Estimated)

May 1, 2029

Study Registration Dates

First Submitted

June 25, 2026

First Submitted That Met QC Criteria

June 25, 2026

First Posted (Actual)

July 1, 2026

Study Record Updates

Last Update Posted (Actual)

July 1, 2026

Last Update Submitted That Met QC Criteria

June 25, 2026

Last Verified

June 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • AITECH-MRI

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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