Optimization of the Acquisition Sequence to Improve the Quality and Comfort of Magnetic Resonance Imaging Exam
AIMANT
1 other identifier
interventional
720
1 country
1
Brief Summary
The purpose of this study is to evaluate the optimization of MRI acquisition sequences.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Dec 2020
Longer than P75 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 16, 2020
CompletedFirst Posted
Study publicly available on registry
November 27, 2020
CompletedStudy Start
First participant enrolled
December 4, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 8, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 1, 2028
March 4, 2026
March 1, 2026
7 years
November 16, 2020
March 2, 2026
Conditions
Outcome Measures
Primary Outcomes (1)
Image quality based on standard imaging quality criteria.
The image quality will be appreciated visually at least by a radiologist or a researcher.
6 months after the last inclusion
Secondary Outcomes (7)
Comparison of the Signal to Noise Ratio obtained by the optimized MRI sequence and the reference situation (standard sequence).
6 months after the last inclusion
Comparison of the Contrast to Noise Ratio obtained by the optimized MRI sequence and the reference situation (standard sequence).
6 months after the last inclusion
Comparison of the acquisition time obtained with the optimized MRI sequence and the reference situation (standard sequence).
6 months after the last inclusion
Comparison of blurring and artefacts obtained by the optimized MRI sequence and the reference situation (standard sequence).
6 months after the last inclusion
Comparison of the spatial resolution obtained by the optimized MRI sequence and the reference situation (standard sequence).
6 months after the last inclusion
- +2 more secondary outcomes
Study Arms (1)
All subjects will have an MRI examination
EXPERIMENTALInterventions
All subjects (healthy subjects and patients) will have an MRI examination with optimized sequences
Eligibility Criteria
You may qualify if:
- to be over 18 year-old,
- to be able to understand the instructions given,
- to be enrolled in a social security plan,
- to give a written consent.
- to perform a MRI examination of the head, neck, spine, thorax, abdomen, pelvis, retroperitoneum, lower limbs, upper limbs or whole body during clinical follow-up care.
You may not qualify if:
- any contraindication to MR examination (active medical device, ferromagnetic foreign body, pregnancy, morbid obesity, claustrophobia, … ),
- subject under a measure of legal protection.
- to have a pathology in the anatomical area to be imaged
- to be employed by the CHRU of Nancy or having the slightest link of subordination with the CHRU of Nancy.
- to have a limited MRI examination time due to a sensitive clinical situation (sedation, unstable hemodynamic state, postoperative).
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
CHRU de Nancy
Nancy, 5400, France
Related Publications (5)
He Z, Soullie P, Lefebvre P, Ambarki K, Felblinger J, Odille F. Changes of in vivo electrical conductivity in the brain and torso related to age, fat fraction and sex using MRI. Sci Rep. 2024 Jul 12;14(1):16109. doi: 10.1038/s41598-024-67014-9.
PMID: 38997324RESULTCaron B, Laurent V, Odille F, Danese S, Hossu G, Peyrin-Biroulet L. New magnetic resonance imaging sequences for fibrosis assessment in Crohn's disease: a pilot study. Scand J Gastroenterol. 2022 Dec;57(12):1450-1453. doi: 10.1080/00365521.2022.2094727. Epub 2022 Sep 29.
PMID: 36173349RESULTBoubaker F, Lane JI, Puel U, Drouot G, Witte RJ, Ambarki K, Gondim-Teixeira PA, Blum A, Parietti-Winkler C, Vallee JN, Gillet R, Eliezer M. High-Resolution 3T MRI of the Membranous Labyrinth Using Deep Learning Reconstruction. AJNR Am J Neuroradiol. 2026 Mar 4;47(3):723-729. doi: 10.3174/ajnr.A8989.
PMID: 40876943RESULTGillet R, Boubaker F, Clara M, Ambarki K, Stemmer A, Drouot G, Gillet P, Gondim Teixeira PA, Blum A. Optimizing knee MRI: 3D proton density turbo spin echo nDixon sequence vs. 2D high-resolution turbo spin echo in half the acquisition time. Eur J Radiol. 2026 Feb;195:112552. doi: 10.1016/j.ejrad.2025.112552. Epub 2025 Nov 19.
PMID: 41285050RESULTWary P, Hossu G, Ambarki K, Nickel D, Arberet S, Oster J, Orry X, Laurent V. Deep learning HASTE sequence compared with T2-weighted BLADE sequence for liver MRI at 3 Tesla: a qualitative and quantitative prospective study. Eur Radiol. 2023 Oct;33(10):6817-6827. doi: 10.1007/s00330-023-09693-y. Epub 2023 May 16.
PMID: 37188883RESULT
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- OTHER
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- MD, PhD
Study Record Dates
First Submitted
November 16, 2020
First Posted
November 27, 2020
Study Start
December 4, 2020
Primary Completion (Estimated)
December 8, 2027
Study Completion (Estimated)
December 1, 2028
Last Updated
March 4, 2026
Record last verified: 2026-03