T1 mapping from routine 3D T1-weighted inversion recovery sequences in clinical practice: comparison against reference inversion recovery fast field echo T1 scans and feasibility in multiple sclerosis
- PMID: 38880824
- DOI: 10.1007/s00234-024-03400-4
T1 mapping from routine 3D T1-weighted inversion recovery sequences in clinical practice: comparison against reference inversion recovery fast field echo T1 scans and feasibility in multiple sclerosis
Abstract
Background and purpose: Quantitative T1 mapping can be an essential tool for assessing tissue injury in multiple sclerosis (MS). We introduce T1-REQUIRE, a method that converts a single high-resolution anatomical 3D T1-weighted Turbo Field Echo (3DT1TFE) scan into a parametric T1 map that could be used for quantitative assessment of tissue damage. We present the accuracy and feasibility of this method in MS.
Methods: 14 subjects with relapsing-remitting MS and 10 healthy subjects were examined. T1 maps were generated from 3DT1TFE images using T1-REQUIRE, which estimates T1 values using MR signal equations and internal tissue reference T1 values. Estimated T1 of lesions, white, and gray matter regions were compared with reference Inversion-Recovery Fast Field Echo T1 values and analyzed via correlation and Bland-Altman (BA) statistics.
Results: 159 T1-weighted (T1W) hypointense MS lesions and 288 gray matter regions were examined. T1 values for MS lesions showed a Pearson's correlation of r = 0.81 (p < 0.000), R2 = 0.65, and Bias = 4.18%. BA statistics showed a mean difference of -53.95 ms and limits of agreement (LOA) of -344.20 and 236.30 ms. Non-lesional normal-appearing white matter had a correlation coefficient of r = 0.82 (p < 0.000), R2 = 0.67, Bias = 8.78%, mean difference of 73.87 ms, and LOA of -55.67 and 203.41 ms.
Conclusions: We demonstrate the feasibility of retroactively derived high-resolution T1 maps from routinely acquired anatomical images, which could be used to quantify tissue pathology in MS. The results of this study will set the stage for testing this method in larger clinical studies for examining MS disease activity and progression.
Keywords: 3DT1-weighted scans; IR-FLASH; Multiple sclerosis; T1 mapping.
© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Similar articles
-
Validation of retroactively derived T1 relaxation values from 3D T1-weighted images with clinical and MRI measures of disability in multiple sclerosis.PLoS One. 2025 May 19;20(5):e0323898. doi: 10.1371/journal.pone.0323898. eCollection 2025. PLoS One. 2025. PMID: 40388456 Free PMC article.
-
Characterization of white matter lesions in multiple sclerosis using proton density and T1-relaxation measures.Magn Reson Imaging. 2024 Feb;106:110-118. doi: 10.1016/j.mri.2023.12.004. Epub 2023 Dec 23. Magn Reson Imaging. 2024. PMID: 38145698
-
Histogram analysis of quantitative T1 and MT maps from ultrahigh field MRI in clinically isolated syndrome and relapsing-remitting multiple sclerosis.NMR Biomed. 2015 Nov;28(11):1374-82. doi: 10.1002/nbm.3385. Epub 2015 Sep 7. NMR Biomed. 2015. PMID: 26346925
-
Multiple sclerosis lesions and irreversible brain tissue damage: a comparative ultrahigh-field strength magnetic resonance imaging study.Arch Neurol. 2012 Jun;69(6):739-45. doi: 10.1001/archneurol.2011.2450. Arch Neurol. 2012. PMID: 22351849
-
Ultra-High Contrast (UHC) MRI of the Brain, Spinal Cord and Optic Nerves in Multiple Sclerosis Using Directly Acquired and Synthetic Bipolar Filter (BLAIR) Images.Diagnostics (Basel). 2025 Jan 30;15(3):329. doi: 10.3390/diagnostics15030329. Diagnostics (Basel). 2025. PMID: 39941259 Free PMC article. Review.
Cited by
-
Validation of retroactively derived T1 relaxation values from 3D T1-weighted images with clinical and MRI measures of disability in multiple sclerosis.PLoS One. 2025 May 19;20(5):e0323898. doi: 10.1371/journal.pone.0323898. eCollection 2025. PLoS One. 2025. PMID: 40388456 Free PMC article.
References
-
- Geurts JJ, Barkhof F (2008) Grey Matter pathology in multiple sclerosis. Lancet Neurol Sep 7(9):841–851. https://doi.org/10.1016/S1474-4422(08)70191-1 - DOI
-
- Zipp F (2009) A new window in multiple sclerosis pathology: non-conventional quantitative magnetic resonance imaging outcomes. J Neurol Sci Dec 287(Suppl 1):S24–S29. https://doi.org/10.1016/S0022-510X(09)71297-3 - DOI
-
- Ortiz GG, Pacheco-Moisés FP, Macías-Islas MÁ et al (2014) Role of the blood-brain barrier in multiple sclerosis. Arch Med Res Nov 45(8):687–697. https://doi.org/10.1016/j.arcmed.2014.11.013 - DOI
-
- Filippi M, Agosta F (2010) Imaging biomarkers in multiple sclerosis. J Magn Reson Imaging Apr 31(4):770–788. https://doi.org/10.1002/jmri.22102 - DOI
-
- Filippi M, Rocca MA, Barkhof F et al (2012) Attendees of the correlation between pathological MRI findings in MS workshop. Association between pathological and MRI findings in multiple sclerosis. Lancet Neurol Apr 11(4):349–360. https://doi.org/10.1016/S1474-4422(12)70003-0 - DOI
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical