Quantitative Susceptibility Mapping of the Thalamus: Relationships with Thalamic Volume, Total Gray Matter Volume, and T2 Lesion Burden

Chiang, Gloria; Hu, Jiani; Morris, Eric D.; Wang, Yi; Gauthier, Susan A.

doi:10.3174/ajnr.a5537

Cited by 5 publications

(5 citation statements)

References 46 publications

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“…Six studies examined structural correlates of DGM susceptibility. Among the six, two reported the correlation between QSM values and total lesion volume (TLV), quantified through the total T2w lesion volume ( Burgetova et al, 2017 , Chiang et al, 2018 ). Chiang et al (2018) reported a positive correlation between TLV and thalamic QSM values, while Burgetova et al (2017) reported a negative correlation.…”

Section: Resultsmentioning

confidence: 99%

“…Among the six, two reported the correlation between QSM values and total lesion volume (TLV), quantified through the total T2w lesion volume ( Burgetova et al, 2017 , Chiang et al, 2018 ). Chiang et al (2018) reported a positive correlation between TLV and thalamic QSM values, while Burgetova et al (2017) reported a negative correlation. In the regions of caudate, putamen, and globus pallidus, no significant relationship between TLV and QSM values was found ( Burgetova et al, 2017 ).…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Quantitative susceptibility mapping in multiple sclerosis: A systematic review and meta-analysis

Voon,

Wiltgen,

Wiestler

et al. 2024

NeuroImage: Clinical

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Quantitative susceptibility mapping in multiple sclerosis: A systematic review and meta-analysis

Voon,

Wiltgen,

Wiestler

et al. 2024

NeuroImage: Clinical

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“…Hence, measurement of neuroinflammation in the thalamus using TSPO-PET or potentially other, less technically demanding methods could be more easily incorporated into clinical practice, if TSPO-PET was to be used for evaluation of progression risk in a clinical setting in the future. 50 Our cohort included patients with both relapses and disability progression during the follow-up. The annual relapse rate during the follow-up was included in building the final model, but did not survive as an independent predictor of disability progression.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Innate Immune Cell–Related Pathology in the Thalamus Signals a Risk for Disability Progression in Multiple Sclerosis

Misin

Matilainen

Nylund

et al. 2022

Neurol Neuroimmunol Neuroinflamm

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Background and ObjectivesOur aim was to investigate whether 18-kDa translocator protein (TSPO) radioligand binding in gray matter (GM) predicts later disability progression in multiple sclerosis (MS).MethodsIn this prospective imaging study, innate immune cells were investigated in the MS patient brain using PET imaging. The distribution volume ratio (DVR) of the TSPO-binding radioligand [11C]PK11195 was determined in 5 GM regions: thalamus, caudate, putamen, pallidum, and cortical GM. Volumetric brain MRI parameters were obtained for comparison. The Expanded Disability Status Scale (EDSS) score was assessed at baseline and after follow-up of 3.0 ± 0.3 (mean ± SD) years. Disability progression was defined as an EDSS score increase of 1.0 point or 0.5 point if the baseline EDSS score was ≥6.0. A forward-type stepwise logistic regression model was constructed to compare multiple imaging and clinical variables in their ability to predict later disability progression.ResultsThe cohort consisted of 66 patients with MS and 18 healthy controls. Patients with later disability progression (n = 17) had more advanced atrophy in the thalamus, caudate, and putamen at baseline compared with patients with no subsequent worsening. TSPO binding was significantly higher in the thalamus among the patients with later worsening. The thalamic DVR was the only measured imaging variable that remained a significant predictor of disability progression in the regression model. The final model predicted disability progression with 52.9% sensitivity and 93.9% specificity with an area under the curve value of 0.82 (receiver operating characteristic curve).DiscussionIncreased TSPO radioligand binding in the thalamus has potential in predicting short-term disability progression in MS and seems to be more sensitive for this than GM atrophy measures.

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“…This has led surgical teams to use templates and atlases, which do not account for inter-individual anatomic variability, and are oftentimes derived from individuals outside of the patient's population demographics (e.g., age, disease state). Several groups have worked to develop new imaging methods for direct visualization, including susceptibility weighted imaging (SWI) (Abosch et al, 2010 ; Najdenovska et al, 2019 ), quantitative magnetic susceptibility mapping (QSM) (Deistung et al, 2013 ; Chiang et al, 2018 ), or white-matter nulled T1 imaging, such as FGATIR (Sudhyadhom et al, 2009 ; Hoch and Shepherd, 2022 ), 3D-EDGE (Middlebrooks et al, 2021 ), and WMn-MPRAGE (Su et al, 2019 ). However, these methods have drawbacks.…”

Section: Introductionmentioning

confidence: 99%

DiMANI: diffusion MRI for anatomical nuclei imaging—Application for the direct visualization of thalamic subnuclei

Patriat,

Palnitkar,

Chandrasekaran

et al. 2024

Front. Hum. Neurosci.

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The thalamus is a centrally located and heterogeneous brain structure that plays a critical role in various sensory, motor, and cognitive processes. However, visualizing the individual subnuclei of the thalamus using conventional MRI techniques is challenging. This difficulty has posed obstacles in targeting specific subnuclei for clinical interventions such as deep brain stimulation (DBS). In this paper, we present DiMANI, a novel method for directly visualizing the thalamic subnuclei using diffusion MRI (dMRI). The DiMANI contrast is computed by averaging, voxelwise, diffusion-weighted volumes enabling the direct distinction of thalamic subnuclei in individuals. We evaluated the reproducibility of DiMANI through multiple approaches. First, we utilized a unique dataset comprising 8 scans of a single participant collected over a 3-year period. Secondly, we quantitatively assessed manual segmentations of thalamic subnuclei for both intra-rater and inter-rater reliability. Thirdly, we qualitatively correlated DiMANI imaging data from several patients with Essential Tremor with the localization of implanted DBS electrodes and clinical observations. Lastly, we demonstrated that DiMANI can provide similar features at 3T and 7T MRI, using varying numbers of diffusion directions. Our results establish that DiMANI is a reproducible and clinically relevant method to directly visualize thalamic subnuclei. This has significant implications for the development of new DBS targets and the optimization of DBS therapy.

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Quantitative Susceptibility Mapping of the Thalamus: Relationships with Thalamic Volume, Total Gray Matter Volume, and T2 Lesion Burden

Abstract: BACKGROUND AND PURPOSE: Both thalamic iron deposition and atrophy have been reported in patients with multiple sclerosis compared with healthy controls, but how they are related is unclear. The purpose of this study was to understand the pathophysiologic basis for this iron deposition.

Cited by 5 publications

References 46 publications

Quantitative susceptibility mapping in multiple sclerosis: A systematic review and meta-analysis

Quantitative susceptibility mapping in multiple sclerosis: A systematic review and meta-analysis

Innate Immune Cell–Related Pathology in the Thalamus Signals a Risk for Disability Progression in Multiple Sclerosis

DiMANI: diffusion MRI for anatomical nuclei imaging—Application for the direct visualization of thalamic subnuclei

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