Improved MRSI in a Murine Glioma Model Using semiLASER : Refining the Metabolomics Data Obtained from Murine Models
Javed, Zoona (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Martinez, Gary V. (The University of Texas)
Mulero-Acevedo, Marta (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
Candiota Silveira, Ana Paula (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Arús i Caraltó, Carles (Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
Cabañas Egaña, Miquel (Universitat Autònoma de Barcelona. Servei de Ressonància Magnètica Nuclear)
Lope-Piedrafita, Silvia (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)

Date:	2026
Abstract:	Background: Magnetic resonance spectroscopic imaging (MRSI) offers valuable metabolic information for assessing brain tumor progression and therapeutic response, but its performance in rodent models is often hindered by the low signal-to-noise ratio (SNR) and spatially heterogeneous spectral quality, particularly in peripheral voxels. These issues reduce the number of usable spectra available for quantitative and classifier-based analyses. To address this, we implemented a multi-voxel MRSI-semiLASER sequence-widely recommended in clinical practice-on a 7T Bruker Biospec system running ParaVision 5. 1 to improve spectral homogeneity in mouse brain tumor studies. Results: Compared with the vendor CSI-PRESS sequence, MRSI-semiLASER produced more uniform spectra across the grid and achieved up to a 1. 2-fold SNR increase in murine glioma, enabling a 20% reduction in slice thickness without compromising spectral quality. Importantly, the sequence produced a substantial gain in the proportion of spectra amenable to analysis, particularly in outer grid voxels that frequently fail with CSI-PRESS. The implemented MRSI-semiLASER sequence and instructions are openly available to the community. Conclusions: MRSI-semiLASER improves spectral homogeneity, increases the proportion of usable spectra, and supports higher spatial detail. These technical improvements may enhance data yield per subject and may facilitate future applications such as more robust pattern recognition workflows and greater data efficiency in longitudinal studies, although such aspects were not evaluated here.
Grants:	European Commission 813120 Ministerio de Sanidad y Consumo CB06/01/0010 European Commission 777222 Agencia Estatal de Investigación PID2023-147750NB-I00 Generalitat de Catalunya 2021/XARDI-00021
Note:	Altres ajuts: UAB Predoctoral training program (14ª Convocatoria PIF-19612)
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Spectroscopic imaging ; Brain tumor ; Semi-adiabatic LASER ; Chemical shift imaging ; Preclinical models
Published in:	Applied sciences (Basel), Vol. 16, Num. 8 (April 2026) , art. 3788, ISSN 2076-3417

DOI: 10.3390/app16083788

20 p, 13.5 MB

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Research literature > UAB research groups literature > Research Centres and Groups (research output) > Health sciences and biosciences > Institut de Biotecnologia i de Biomedicina (IBB)
Articles > Research articles
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