Field-Cycling imaging detects brain tumours at low magnetic field strengths

Motivation: Field Cycling Imaging (FCI) is a new imaging modality that shows high potential in brain glioma from ex-vivo studies. Goal(s): Our goal was to demonstrate the capabilities of FCI as an imaging modality to detect brain cancer in vivo. Approach: Nine patients were imaged with our recent FCI prototype scanner using fields from 0.2 to 200mT. T1 images were compared with standard 1.5T MRI clinical images. Results: Tissue contrast appeared between tumours and uninvolved tissues that agreed with ex-vivo results, showing biomarkers of aquaporins activity. This discriminated gliomas from peritumoural regions, as well as gliomas from meningiomas. Impact: FCI can detect brain tumour and discriminates glioma from meningioma. Tissue dispersion may also be a marker of aggressiveness. These offer interesting prospects for clinical applications.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/2374
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Field-Cycling imaging detects brain tumours at low magnetic field strengths

Lionel Broche, P. J. Ross, Vasiliki Mallikourti, Hana Lahrech et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Advanced MRI Techniques and Applications
article

Field-Cycling imaging detects brain tumours at low magnetic field strengths

Lionel Broche, P. J. Ross, Vasiliki Mallikourti, Hana Lahrech, David J. Lurie, Gareth Reynold Davies, Arnab Rana
article en

Abstract

Motivation: Field Cycling Imaging (FCI) is a new imaging modality that shows high potential in brain glioma from ex-vivo studies. Goal(s): Our goal was to demonstrate the capabilities of FCI as an imaging modality to detect brain cancer in vivo. Approach: Nine patients were imaged with our recent FCI prototype scanner using fields from 0.2 to 200mT. T1 images were compared with standard 1.5T MRI clinical images. Results: Tissue contrast appeared between tumours and uninvolved tissues that agreed with ex-vivo results, showing biomarkers of aquaporins activity. This discriminated gliomas from peritumoural regions, as well as gliomas from meningiomas. Impact: FCI can detect brain tumour and discriminates glioma from meningioma. Tissue dispersion may also be a marker of aggressiveness. These offer interesting prospects for clinical applications.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 63%
Advanced MRI Techniques and Applications
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Field-Cycling imaging detects brain tumours at low magnetic field strengths — Lionel Broche, P. J. Ross, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS