A fast protocol for multicenter and multiparametric quantitative MRI studies in brain tumor patients using vendor sequences.

Autor: Thomas DC; Institute of Neuroradiology, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt am Main, Germany.; University Cancer Center Frankfurt (UCT), Frankfurt am Main, Germany.; Frankfurt Cancer Institute (FCI), Frankfurt am Main, Germany.; German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany (Partner Site Frankfurt/Mainz)., Deichmann R; Brain Imaging Center, Goethe University Frankfurt, Frankfurt am Main, Germany., Nöth U; Brain Imaging Center, Goethe University Frankfurt, Frankfurt am Main, Germany., Langkammer C; Department of Neurology, Medical University of Graz, Graz, Austria., Ferreira M; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.; University of Bonn, Bonn, Germany., Golbach R; Institute of Biostatistics and Mathematical Modelling, Goethe University, Frankfurt am Main, Germany., Hattingen E; Institute of Neuroradiology, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt am Main, Germany.; University Cancer Center Frankfurt (UCT), Frankfurt am Main, Germany.; Frankfurt Cancer Institute (FCI), Frankfurt am Main, Germany.; German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany (Partner Site Frankfurt/Mainz)., Wenger KJ; Institute of Neuroradiology, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt am Main, Germany.; University Cancer Center Frankfurt (UCT), Frankfurt am Main, Germany.; Frankfurt Cancer Institute (FCI), Frankfurt am Main, Germany.; German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany (Partner Site Frankfurt/Mainz).
Jazyk: angličtina
Zdroj: Neuro-oncology advances [Neurooncol Adv] 2024 Jul 04; Vol. 6 (1), pp. vdae117. Date of Electronic Publication: 2024 Jul 04 (Print Publication: 2024).
DOI: 10.1093/noajnl/vdae117
Abstrakt: Background: Multiparametric quantitative MRI (mp-qMRI) provides noninvasive, quantitative measurements sensitive to a variety of tissue properties. In brain tumors (BTs), longitudinal relaxation time (T1), effective transverse relaxation time (T2*), transverse relaxation time (T2), water content (H 2 O), and quantitative susceptibility (χ) give valuable insights into the microenvironment. To generate large multicenter datasets, protocols need to be short and implementable on any scanner. The goal of this work was to develop and validate an 8-min, 3T mp-qMRI protocol for BT patients solely using generalized pulse sequences (mGRE and EPI).
Methods: A protocol was developed and tested on a multicompartment phantom, 5 healthy subjects (mean age: 31.64 years), and 4 BT patients (mean age:39.5 years) . Phantom and healthy subject longitudinal relaxation time (T1) maps were compared to those obtained using 2 reference methods. The 5 healthy subjects were scanned on 3T MRI scanners at 2 different sites and the reproducibility between scanners was assessed by computing Coefficients of Variance (COV) maps, performing Bland-Altman analysis and t -tests. Clinical feasibility was tested on 4 BT patients.
Results: T1 values obtained using the proposed mp-qMRI protocol agree with those obtained using the reference methods in volunteers (mean error = 8.94 ms) . The qMRI maps (T1, T2*, H 2 O, and χ ) of the volunteers showed good reproducibility between scanners with no significant differences for mean WM and GM qMRI values. WM and GM mean qMRI values agreed well with literature values. H 2 O gave the lowest COV and χ maps the highest.
Conclusion: The proposed vendor sequence-based 3T mp-qMRI protocol gives interpolated, high resolution (1 mm isotropic) T1, T2*, H 2 O, and χ maps in 8 min of acquisition.
Competing Interests: The authors have no conflicts of interest to report.
(© The Author(s) 2024. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.)
Databáze: MEDLINE
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