Magnetic resonance T1w/T2w ratio and voxel-based morphometry in multiple system atrophy

Ponticorvo, Sara; Manara, Renzo; Russillo, Maria Claudia; Erro, Roberto; Picillo, Marina; Salle, Francesco Di; Barone, Paolo; Esposito, Fabrizio; Pellecchia, Maria Teresa

doi:10.1038/s41598-021-01222-5

Cited by 11 publications

(12 citation statements)

References 30 publications

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“…One of the simplest methods is to calculate the ratio of the signal intensity of a T1-weighted and a T2-weighted (T1w/T2w) MRI image, which has been proposed as a proxy of cortical myelin content (10)(11)(12) but that is also influenced by other factors such as iron content (11,13,14), axon, and dendrite density. Consistently, an increased T1w/T2w ratio has been recently found in the substantia nigra (SN) pars compacta of patients with Parkinson's disease (PD) and MSA compared with healthy controls (HCs) (15,16).…”

Section: Introductionmentioning

confidence: 63%

“…Longitudinal statistical comparisons were performed on tissue density (GM and WM) and on T1w/T2w mean regional values according to previous results ( 16 ) of local atrophy in GM (left and right putamen and cerebellar GM) and in WM (cerebellum-brainstem WM) when patients with MSA were compared with a group of age-matched HC. Furthermore, an atlas-derived ROI of the bilateral SN pars compacta (freely available at https://github.com/apoorvasafai/NMS-SNc-atlas ) was also included in the analysis.…”

Section: Methodsmentioning

confidence: 99%

“…Starting from our previous cross-sectional study that assessed brain atrophy and brain tissue integrity by means of voxel-based morphometry (VBM) and T1w/T2w ratio in patients with MSA ( 16 ), in this study, we aimed to characterize the longitudinal changes in the same regions of interest (ROIs) in the same group of patients with MSA over time in order to possibly establish a marker for disease progression and shed light on differentiation of brain alterations course in the two clinical variants. In particular, we evaluated disease progression in both gray matter (GM) and white matter (WM), as well as the T1w/T2w parameter by performing an explorative whole brain voxel-wise and an ROI-based longitudinal study in patients with both subtypes of MSA, evaluated at baseline and after 1-year follow-up.…”

Section: Introductionmentioning

confidence: 99%

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Combined regional T1w/T2w ratio and voxel-based morphometry in multiple system atrophy: A follow-up study

et al. 2022

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Several MRI techniques have become available to support the early diagnosis of multiple system atrophy (MSA), but few longitudinal studies on both MSA variants have been performed, and there are no established MRI markers of disease progression. We aimed to characterize longitudinal brain changes in 26 patients with MSA (14 MSA-P and 12 MSA-C) over a 1-year follow-up period in terms of local tissue density and T1w/T2w ratio in a-priori regions, namely, bilateral putamen, cerebellar gray matter (GM), white matter (WM), and substantia nigra (SN). A significant GM density decrease was found in cerebellum and left putamen in the entire group (10.7 and 33.1% variation, respectively) and both MSA subtypes (MSA-C: 15.4 and 33.0% variation; MSA-P: 7.7 and 33.2%) and in right putamen in the entire group (19.8% variation) and patients with MSA-C (20.9% variation). A WM density decrease was found in the entire group (9.3% variation) and both subtypes in cerebellum-brainstem (MSA-C: 18.0% variation; MSA-P: 5% variation). The T1w/T2w ratio increase was found in the cerebellar and left putamen GM (6.6 and 24.9% variation), while a significant T1w/T2w ratio decrease was detected in SN in the entire MSA group (31% variation). We found a more progressive atrophy of the cerebellum in MSA-C with a similar progression of putaminal atrophy in the two variants. T1w/T2w ratio can be further studied as a potential marker of disease progression, possibly reflecting decreased neuronal density or iron accumulation.

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Section: Introductionmentioning

confidence: 63%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Combined regional T1w/T2w ratio and voxel-based morphometry in multiple system atrophy: A follow-up study

et al. 2022

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“…Automated analysis of mean diffusivity of the middle cerebellar peduncles and putamen was reported to provide excellent diagnostic accuracy to discriminate patients with MSA from PD in the early to moderate disease stages [55]. Besides the single MRI techniques, the application of multimodal protocols (e.g., T1-weighted/T2-weighted ratio and voxel-based morphometry [56]) was hypothesized to further improve differential diagnosis between PD and atypical parkinsonisms [57].…”

Section: Discussionmentioning

confidence: 99%

Morphometric imaging and quantitative susceptibility mapping as complementary tools in the diagnosis of parkinsonisms

Mazzucchi

Prete

Costagli

et al. 2022

Euro J of Neurology

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Background and purpose: In the quest for in vivo diagnostic biomarkers to discriminate Parkinson's disease (PD) from progressive supranuclear palsy (PSP) and multiple system atrophy (MSA, mainly p phenotype), many advanced magnetic resonance imaging (MRI) techniques have been studied. Morphometric indices, such as the Magnetic Resonance Parkinsonism Index (MRPI), demonstrated high diagnostic value in the comparison between PD and PSP. The potential of quantitative susceptibility mapping (QSM) was hypothesized, as increased magnetic susceptibility (Δχ) was reported in the red nucleus (RN) and medial part of the substantia nigra (SNImed) of PSP patients and in the putamen of MSA patients. However, disease-specific susceptibility values for relevant regions of interest are yet to be identified. The aims of the study were to evaluate the diagnostic potential of a multimodal MRI protocol combining morphometric and QSM imaging in patients with determined parkinsonisms and to explore its value in a population of undetermined cases.Method: Patients with suspected degenerative parkinsonism underwent clinical evaluation, 3 T brain MRI and clinical follow-up. The MRPI was manually calculated on T1weighted images. QSM maps were generated from 3D multi-echo T2*-weighted sequences. Results:In determined cases the morphometric evaluation confirmed optimal diagnostic accuracy in the comparison between PD and PSP but failed to discriminate PD from MSAp. Significant nigral and extranigral differences were found with QSM. RN Δχ showed excellent diagnostic accuracy in the comparison between PD and PSP and good accuracy in the comparison of PD and MSA-p. Optimal susceptibility cut-off values of RN and SNImed were tested in undetermined cases in addition to MRPI. Conclusions:A combined use of morphometric imaging and QSM could improve the diagnostic phase of degenerative parkinsonisms.

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“…Voxel-based morphometry (VBM) is a technique for analyzing brain magnetic resonance images at the voxel level. It is a method to calculate the voxel size and specifc structure concentration of local structures (such as brain gray and white matter) automatically and objectively by applying the voxels of spatially normalized images to evaluate the differences in brain anatomy from an overall perspective [11,12]. At present, it is widely used in the quantitative analysis of the morphological structure of the whole brain under normal brain aging and pathological conditions.…”

Section: Introductionmentioning

confidence: 99%

Magnetic Resonance Imaging Characteristics of Brain Structure and Neuroendocrine Changes in Patients with First-Episode Schizophrenia

Yang

Zeng

et al. 2023

Concepts in Magnetic Resonance Part A

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This research was aimed to investigate the magnetic resonance imaging (MRI) features of brain structure and neuroendocrine levels in patients with first-episode schizophrenia. 25 hospitalized patients with first-episode schizophrenia were selected as the observation group, while 25 healthy people were selected as the control group. All the objects underwent MRI examination, and the images as well as gray matter density of the original image data were analyzed under voxel-based morphometry (VBM). The cortisol and prolactin in the observation group were detected, and the levels were compared. The Pearson correlation analysis was adopted to analyze the correlation between cortisol and prolactin levels and the total score of the Positive and Negative Syndrome Scale (PANSS). The results showed that the gray matter volume of the precentral gyrus, superior frontal gyrus, middle frontal gyrus, inferior frontal gyrus, postcentral gyrus, inferior parietal lobule, superior parietal lobule, and anterior cingulate cortex of the observation group decreased, while the volume of cerebellar gray matter increased. The levels of cortisol and prolactin in the observation group (387.54 ± 117.69 μg/L and 804.16 ± 267.13 μIU/mL, respectively) were significantly higher than those in the control group (138.46 ± 62.47 μg/L and 397.54 ± 203.82 μIU/mL, respectively), and the differences were statistically significant ( P < 0.05 ). The results of the Pearson correlation test showed that the higher the cortisol level, the more severe the schizophrenia (r = 0.421 and P = 0.013 ), while the prolactin level was not directly related to the severity of schizophrenia (r = 0.019 and P = 0.568 ). In conclusion, the MRI features based on the VBM technology can accurately assess the changes of gray matter; the levels of cortisol and prolactin in patients with first-episode schizophrenia were significantly higher than those in healthy people; and the higher the cortisol level, the more severe the schizophrenia symptoms. This study provided a certain research basis for MRI features of brain structure and neuroendocrine changes in patients with first-episode schizophrenia.

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Magnetic resonance T1w/T2w ratio and voxel-based morphometry in multiple system atrophy

Cited by 11 publications

References 30 publications

Combined regional T1w/T2w ratio and voxel-based morphometry in multiple system atrophy: A follow-up study

Combined regional T1w/T2w ratio and voxel-based morphometry in multiple system atrophy: A follow-up study

Morphometric imaging and quantitative susceptibility mapping as complementary tools in the diagnosis of parkinsonisms

Magnetic Resonance Imaging Characteristics of Brain Structure and Neuroendocrine Changes in Patients with First-Episode Schizophrenia

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