Characterization of meningiomas with synthetic imaging
Abstract Introduction Synthetic magnetic resonance imaging (SyMRI) is a novel quantitative and qualitative technique that permits the reconstruction of multiple image contrasts and quantitative maps from a single scan, thereby providing quantitative information and reducing scan times. The purpose o...
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Format: | Article |
Language: | English |
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Wiley
2022-11-01
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Series: | Brain and Behavior |
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Online Access: | https://doi.org/10.1002/brb3.2769 |
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author | Riccardo Ludovichetti Bénédicte Delattre José Boto Daniela LaGrange Torstein Meling Maria Isabel Vargas |
author_facet | Riccardo Ludovichetti Bénédicte Delattre José Boto Daniela LaGrange Torstein Meling Maria Isabel Vargas |
author_sort | Riccardo Ludovichetti |
collection | DOAJ |
description | Abstract Introduction Synthetic magnetic resonance imaging (SyMRI) is a novel quantitative and qualitative technique that permits the reconstruction of multiple image contrasts and quantitative maps from a single scan, thereby providing quantitative information and reducing scan times. The purpose of this study is to characterize intracranial meningiomas using SyMRI. Methods The study included 35 patients with meningiomas (6 males, 29 females; mean age 61 ± 17 years; range 21–90 years). Using 3T MR scanners, SyMRI was performed in addition to conventional FSET2, FLAIR, DWI, T1, and T1 with gadolinium. SyMRI software was used to generate T1, T2, and PD quantitative maps. Osirix MD was used to measure quantitative values of T1, T2, and PD using a ROI. Results We analyzed 42 meningiomas, 8 of which were associated with edema, and 5 contained calcifications. Mean relaxivity values of meningiomas on synthetic T1, T2, and PD maps at 3T MRI were 1382.6 ± 391.7 ms, 95.6 ± 36.5 ms, and 89.1 ± 9.7 pu, respectively. Signal intensities in terms of T1, T2, and PD did not differ significantly between meningiomas with and without edema (p = .994, p = .356, and p = .221, respectively), nor between meningiomas containing and not containing calcifications (p = .840, p = .710, and p = .455, respectively). Values of T1 and T2 measured in meningiomas and the normal‐appearing white matter approximated reference values found in the literature with other quantitative methods. Conclusion The presented method offers a novel approach to characterize meningiomas through their relaxation parameters measured with a SyMRI sequence. |
first_indexed | 2024-04-11T06:14:20Z |
format | Article |
id | doaj.art-9818841302444a6c8b2190c5cd659fa0 |
institution | Directory Open Access Journal |
issn | 2162-3279 |
language | English |
last_indexed | 2024-04-11T06:14:20Z |
publishDate | 2022-11-01 |
publisher | Wiley |
record_format | Article |
series | Brain and Behavior |
spelling | doaj.art-9818841302444a6c8b2190c5cd659fa02022-12-22T04:41:06ZengWileyBrain and Behavior2162-32792022-11-011211n/an/a10.1002/brb3.2769Characterization of meningiomas with synthetic imagingRiccardo Ludovichetti0Bénédicte Delattre1José Boto2Daniela LaGrange3Torstein Meling4Maria Isabel Vargas5Division of Radiology Diagnostic Department, Geneva University Hospitals Geneva SwitzerlandDivision of Radiology Diagnostic Department, Geneva University Hospitals Geneva SwitzerlandDivision of Neuroradiology Diagnostic Department, Geneva University Hospitals Geneva SwitzerlandDivision of Neuroradiology Diagnostic Department, Geneva University Hospitals Geneva SwitzerlandDivision of Neurosurgery Neurosciences Department, Geneva University Hospitals Geneva SwitzerlandDivision of Neuroradiology Diagnostic Department, Geneva University Hospitals Geneva SwitzerlandAbstract Introduction Synthetic magnetic resonance imaging (SyMRI) is a novel quantitative and qualitative technique that permits the reconstruction of multiple image contrasts and quantitative maps from a single scan, thereby providing quantitative information and reducing scan times. The purpose of this study is to characterize intracranial meningiomas using SyMRI. Methods The study included 35 patients with meningiomas (6 males, 29 females; mean age 61 ± 17 years; range 21–90 years). Using 3T MR scanners, SyMRI was performed in addition to conventional FSET2, FLAIR, DWI, T1, and T1 with gadolinium. SyMRI software was used to generate T1, T2, and PD quantitative maps. Osirix MD was used to measure quantitative values of T1, T2, and PD using a ROI. Results We analyzed 42 meningiomas, 8 of which were associated with edema, and 5 contained calcifications. Mean relaxivity values of meningiomas on synthetic T1, T2, and PD maps at 3T MRI were 1382.6 ± 391.7 ms, 95.6 ± 36.5 ms, and 89.1 ± 9.7 pu, respectively. Signal intensities in terms of T1, T2, and PD did not differ significantly between meningiomas with and without edema (p = .994, p = .356, and p = .221, respectively), nor between meningiomas containing and not containing calcifications (p = .840, p = .710, and p = .455, respectively). Values of T1 and T2 measured in meningiomas and the normal‐appearing white matter approximated reference values found in the literature with other quantitative methods. Conclusion The presented method offers a novel approach to characterize meningiomas through their relaxation parameters measured with a SyMRI sequence.https://doi.org/10.1002/brb3.2769biomarkersmeningiomasMRIrelaxivity valuessynthetic imaging |
spellingShingle | Riccardo Ludovichetti Bénédicte Delattre José Boto Daniela LaGrange Torstein Meling Maria Isabel Vargas Characterization of meningiomas with synthetic imaging Brain and Behavior biomarkers meningiomas MRI relaxivity values synthetic imaging |
title | Characterization of meningiomas with synthetic imaging |
title_full | Characterization of meningiomas with synthetic imaging |
title_fullStr | Characterization of meningiomas with synthetic imaging |
title_full_unstemmed | Characterization of meningiomas with synthetic imaging |
title_short | Characterization of meningiomas with synthetic imaging |
title_sort | characterization of meningiomas with synthetic imaging |
topic | biomarkers meningiomas MRI relaxivity values synthetic imaging |
url | https://doi.org/10.1002/brb3.2769 |
work_keys_str_mv | AT riccardoludovichetti characterizationofmeningiomaswithsyntheticimaging AT benedictedelattre characterizationofmeningiomaswithsyntheticimaging AT joseboto characterizationofmeningiomaswithsyntheticimaging AT danielalagrange characterizationofmeningiomaswithsyntheticimaging AT torsteinmeling characterizationofmeningiomaswithsyntheticimaging AT mariaisabelvargas characterizationofmeningiomaswithsyntheticimaging |