Truly Portable MRI for Extremity and Brain Imaging Anywhere & Everywhere

CompletedNot a drug-phase studyMS (type not specified)NCT07037966

What it found

No results found

We found no results in the registry or in papers.

What was tested

Treatment tested

  • MRI

What it measured

Main measures

  • Radiological reports to Evaluate NextMRI prototype performance

    Through study completion, an average of 1 year

    MRI lesionsBladder, bowel and sexual function

Other measures (2)

  • Patient Comfort and Satisfaction Questionnaire to Evaluate the New NextMRI Prototype Compared to the Standard MRI Scanner

    1 year

    MRI lesionsQuality of life (reported by participants)
  • User Comfort and Satisfaction Questionnaire Evaluate the New NextMRI Prototype Compared to the Standard MRI Scanner

    1 year

    MRI lesionsQuality of life (reported by participants)

Who could take part

MS (type not specified) · 18 to 65

Show the full criteria

Inclusion criteria

* Patients with suspected multiple sclerosis or or undergoing clinical review/follow-up for MS

Exclusion criteria

* Any contradictions for high-field MRI

As registered. Criteria can change, so ask the trial team or your neurologist.

About this trial

In the sponsor's words

Mobile imaging diagnostic devices are extremely valuable for clinical diagnosis both inside and outside healthcare facilities. However, Magnetic Resonance Imaging (MRI)-the gold standard for diagnosing many neurological and musculoskeletal conditions-is not easily portable. Moreover, due to its high cost (in the million-euro range) and limited availability, the average wait time in Europe for an MRI scan is from several weeks to months. The NextMRI project aims to take the technical, industrial, and commercial steps required to deploy portable low-field MRI systems in remote and developing regions, rural areas, sporting events, military or medical camps, and home healthcare settings, improving diagnostic capabilities. The specific goals of the NextMRI project are: 1. Expand current low-field MRI technology to brain imaging. 2. Enhance diagnostic accuracy using machine learning. 3. Improve portability and usability for end users. 4. Reduce production costs for broader affordability. 5. Collect clinical evidence through trials to validate medical performance. 6. Develop a sustainable business model for market commercialization.

Papers

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History

    1. Started

      Nov 2025

    2. Main results due

      Jun 2026

    3. Finished

      Sept 2026

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