T1-Based Synthetic Magnetic Resonance Contrasts Improve Multiple Sclerosis and Focal Epilepsy Imaging at 7 T.
Journal
Investigative radiology
ISSN: 1536-0210
Titre abrégé: Invest Radiol
Pays: United States
ID NLM: 0045377
Informations de publication
Date de publication:
01 02 2021
01 02 2021
Historique:
pubmed:
28
8
2020
medline:
16
10
2021
entrez:
28
8
2020
Statut:
ppublish
Résumé
Ultra-high field magnetic resonance imaging (MRI) (≥7 T) is a unique opportunity to improve the clinical diagnosis of brain pathologies, such as multiple sclerosis or focal epilepsy. However, several shortcomings of 7 T MRI, such as radiofrequency field inhomogeneities, could degrade image quality and hinder radiological interpretation. To address these challenges, an original synthetic MRI method based on T1 mapping achieved with the magnetization-prepared 2 rapid acquisition gradient echo (MP2RAGE) sequence was developed. The radiological quality of on-demand T1-based contrasts generated by this technique was evaluated in multiple sclerosis and focal epilepsy imaging at 7 T. This retrospective study was carried out from October 2017 to September 2019 and included 21 patients with different phenotypes of multiple sclerosis and 35 patients with focal epilepsy who underwent MRI brain examinations using a whole-body investigative 7 T magnetic resonance system. The quality of 2 proposed synthetic contrast images were assessed and compared with conventional images acquired at 7 T using the MP2RAGE sequence by 4 radiologists, evaluating 3 qualitative criteria: signal homogeneity, contrast intensity, and lesion visualization. Statistical analyses were performed on reported quality scores using Wilcoxon rank tests and further multiple comparisons tests. Intraobserver and interobserver reliabilities were calculated as well. Radiological quality scores were reported higher for synthetic images when compared with original images, regardless of contrast, pathologies, or raters considered, with significant differences found for all 3 criteria (P < 0.0001, Wilcoxon rank test). None of the 4 radiologists ever rated a synthetic image "markedly worse" than an original image. Synthetic images were rated slightly less satisfying for only 3 epileptic patients, without precluding lesion identification. T1-based synthetic MRI with the MP2RAGE sequence provided on-demand contrasts and high-quality images to the radiologist, facilitating lesion visualization in multiple sclerosis and focal epilepsy, while reducing the magnetic resonance examination total duration by removing an additional sequence.
Identifiants
pubmed: 32852445
pii: 00004424-202102000-00008
doi: 10.1097/RLI.0000000000000718
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
127-133Informations de copyright
Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.
Déclaration de conflit d'intérêts
Conflicts of interest and sources of funding: This study was supported by the following funding sources: 7T-AMI ANR-11-EQPX-0001, A*MIDEX-EI-13-07-130115-08.38-7T-AMISTART, Fondation ARSEP (Fondation pour l'Aide à la recherche sur la Sclérose en Plaques), and CNRS (Centre National de la Recherche Scientifique). Dr Massire is an employee of Siemens Healthcare SAS since September 2019. Dr Troalen is currently an employee of Siemens Healthcare SAS. Dr Kober is a current employee and shareholder of Siemens Healthcare AG and holds patents filed by Siemens Healthcare. For the remaining authors, no relevant relationships are declared.
Références
Kraff O, Fischer A, Nagel AM, et al. MRI at 7 tesla and above: demonstrated and potential capabilities. J Magn Reson Imaging . 2015;41:13–33.
Trattnig S, Bogner W, Gruber S, et al. Clinical applications at ultrahigh field (7 T): where does it make the difference? NMR Biomed . 2016;29:1316–1334.
van der Kolk AG, Hendrikse J, Zwanenburg JJM, et al. Clinical applications of 7T MRI in the brain. Eur J Radiol . 2013;82:708–718.
Trattnig S, Springer E, Bogner W, et al. Key clinical benefits of neuroimaging at 7T. Neuroimage . 2018;168:477–489.
Düzel E, Acosta-Cabronero J, Berron D, et al. European Ultrahigh-Field Imaging Network for Neurodegenerative Diseases (EUFIND). Alzheimers Dement (Amst) . 2019;11:538–549.
Obusez EC, Lowe M, Oh S-H, et al. 7T MR of intracranial pathology: preliminary observations and comparisons to 3T and 1.5T. Neuroimage . 2018;168:459–476.
Springer E, Dymerska B, Cardoso PL, et al. Comparison of routine brain imaging at 3 T and 7 T. Invest Radiol . 2016;51:469–482.
Kollia K, Maderwald S, Putzki N, et al. First clinical study on ultra-high-field MR imaging in patients with multiple sclerosis: comparison of 1.5T and 7T. AJNR Am J Neuroradiol . 2009;30:699–702.
Marques JP, Kober T, Krueger G, et al. MP2RAGE, a self bias–field corrected sequence for improved segmentation and T1-mapping at high field. Neuroimage . 2010;49:1271–1281.
Van de Moortele P-F, Auerbach EJ, Olman C, et al. T1 weighted brain images at 7 tesla unbiased for proton density, T2* contrast and RF coil receive B1 sensitivity with simultaneous vessel visualization. Neuroimage . 2009;46:432–446.
Choi U-S, Kawaguchi H, Matsuoka Y, et al. Brain tissue segmentation based on MP2RAGE multi-contrast images in 7 T MRI. PLoS One . 2019;14:e0210803.
O'Brien KR, Kober T, Hagmann P, et al. Robust T1-weighted structural brain imaging and morphometry at 7T using MP2RAGE. PLoS One . 2014;9:e99676.
Kober T, Granziera C, Ribes D, et al. MP2RAGE multiple sclerosis magnetic resonance imaging at 3 T. Invest Radiol . 2012;47:346–352.
Beck ES, Sati P, Sethi V, et al. Improved visualization of cortical lesions in multiple sclerosis using 7T MP2RAGE. AJNR Am J Neuroradiol . 2018;39:459–466.
Kolber P, Droby A, Roebroeck A, et al. A “kissing lesion”: in-vivo 7T evidence of meningeal inflammation in early multiple sclerosis. Mult Scler . 2017;23:1167–1169.
Fartaria MJ, Sati P, Todea A, et al. Automated detection and segmentation of multiple sclerosis lesions using ultra-high-field MP2RAGE. Invest Radiol . 2019;54:356–364.
Guye M, Bartolomei F, Ranjeva JP. Malformations of cortical development: the role of 7-tesla magnetic resonance imaging in diagnosis. Rev Neurol . 2019;175:157–162.
Feldman RE, Delman BN, Pawha PS, et al. 7T MRI in epilepsy patients with previously normal clinical MRI exams compared against healthy controls. PLoS One . 2019;14:e0213642.
Pittau F, Baud MO, Jorge J, et al. MP2RAGE and susceptibility-weighted imaging in lesional epilepsy at 7T. J Neuroimaging . 2018;28:365–369.
Costagli M, Kelley DAC, Symms MR, et al. Tissue border enhancement by inversion recovery MRI at 7.0 tesla. Neuroradiology . 2014;56:517–523.
Marques JP, Gruetter R. New developments and applications of the MP2RAGE sequence—focusing the contrast and high spatial resolution R1 mapping. PLoS One . 2013;8:e69294.
Sudhyadhom A, Haq IU, Foote KD, et al. A high resolution and high contrast MRI for differentiation of subcortical structures for DBS targeting: the fast gray matter acquisition T1 inversion recovery (FGATIR). Neuroimage . 2009;47(suppl 2):T44–T52.
Tanner M, Gambarota G, Kober T, et al. Fluid and white matter suppression with the MP2RAGE sequence. J Magn Reson Imaging . 2012;35:1063–1070.
Urushibata Y, Kuribayashi H, Fujimoto K, et al. Advantages of fluid and white matter suppression (FLAWS) with MP2RAGE compared with double inversion recovery turbo spin echo (DIR-TSE) at 7T. Eur J Radiol . 2019;116:160–164.
Chen X, Qian T, Kober T, et al. Gray-matter-specific MR imaging improves the detection of epileptogenic zones in focal cortical dysplasia: a new sequence called fluid and white matter suppression (FLAWS). NeuroImage Clin . 2018;20:388–397.
Haast RAM, Ivanov D, Uludağ K. The impact of B1+ correction on MP2RAGE cortical T 1 and apparent cortical thickness at 7T. Hum Brain Mapp . 2018;39:2412–2425.
Massire A, Taso M, Besson P, et al. High-resolution multi-parametric quantitative magnetic resonance imaging of the human cervical spinal cord at 7T. Neuroimage . 2016;143:58–69.
Maggioni M, Katkovnik V, Egiazarian K, et al. Nonlocal transform-domain filter for volumetric data denoising and reconstruction. IEEE Trans Image Process . 2013;22:119–133.
Caan MWA, Bazin PL, Marques JP, et al. MP2RAGEME: T 1 , T 2 *, and QSM mapping in one sequence at 7 tesla. Hum Brain Mapp . 2019;40:1786–1798.
Simioni S, Amarù F, Bonnier G, et al. MP2RAGE provides new clinically-compatible correlates of mild cognitive deficits in relapsing-remitting multiple sclerosis. J Neurol . 2014;261:1606–1613.
Beaumont J, Saint-Jalmes H, Acosta O, et al. Multi T1-weighted contrast MRI with fluid and white matter suppression at 1.5 T. Magn Reson Imaging . 2019;63:217–225.
Louapre C, Bodini B, Lubetzki C, et al. Imaging markers of multiple sclerosis prognosis. Curr Opin Neurol . 2017;30:231–236.
Treaba CA, Granberg TE, Sormani MP, et al. Longitudinal characterization of cortical lesion development and evolution in multiple sclerosis with 7.0-T MRI. Radiology . 2019;291:740–749.
Heckova E, Strasser B, Hangel GJ, et al. 7 T magnetic resonance spectroscopic imaging in multiple sclerosis: how does spatial resolution affect the detectability of metabolic changes in brain lesions? Invest Radiol . 2018;54:247–254.
Oluigbo CO, Wang J, Whitehead MT, et al. The influence of lesion volume, perilesion resection volume, and completeness of resection on seizure outcome after resective epilepsy surgery for cortical dysplasia in children. J Neurosurg Pediatr . 2015;15:644–650.
Mellerio C, Labeyrie M-A, Chassoux F, et al. Optimizing MR imaging detection of type 2 focal cortical dysplasia: best criteria for clinical practice. AJNR Am J Neuroradiol . 2012;33:1932–1938.
Wang DD, Deans AE, Barkovich AJ, et al. Transmantle sign in focal cortical dysplasia: a unique radiological entity with excellent prognosis for seizure control. J Neurosurg . 2013;118:337–344.
Finck T, Li H, Grundl L, et al. Deep-learning generated synthetic double inversion recovery images improve multiple sclerosis lesion detection. Invest Radiol . 2020;55:318–323.
Eichinger P, Hock A, Schön S, et al. Acceleration of double inversion recovery sequences in multiple sclerosis with compressed sensing. Invest Radiol . 2019;54:319–324.