White matter atlas of the human spinal cord with estimation of partial volume effect

Levy, Sheldon G.; Benhamou, Moshe; Naaman, C.; Rainville, Pierre; Callot, Virginie; Cohen‐Adad, Julien

doi:10.1016/j.neuroimage.2015.06.040

Cited by 104 publications

(112 citation statements)

References 36 publications

(51 reference statements)

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“…Selection of the axial section showing the most hyperintensity had good concordance between the 2 neuroradiologists (J.N., J.F.T.) (r [9] ϭ 0.60, P ϭ .088). Differences in axial section selection were mostly caused by several regions showing the same degree of hyperintensity.…”

Section: Spinal Cord Analysismentioning

confidence: 82%

“…In full cord atlas volume analysis, neither GM nor WM significantly correlated with either improvement or initial weakness. No significant correlation was found between %CSA at lesion center and clinical outcome (r [9] ϭ 0.03, P ϭ .95) or initial MRC score (r [9] ϭ Ϫ.46, P ϭ .213). Furthermore, cumulative partial volumes extracted for %CSA at lesion segment did not significantly correlate with clinical outcome (r [9] ϭ Ϫ0.05, P ϭ .89) or initial MRC score (r [9] ϭ Ϫ.25, P ϭ .52).…”

Section: Spinal Cord Analysismentioning

confidence: 94%

“…No significant correlation was found between %CSA at lesion center and clinical outcome (r [9] ϭ 0.03, P ϭ .95) or initial MRC score (r [9] ϭ Ϫ.46, P ϭ .213). Furthermore, cumulative partial volumes extracted for %CSA at lesion segment did not significantly correlate with clinical outcome (r [9] ϭ Ϫ0.05, P ϭ .89) or initial MRC score (r [9] ϭ Ϫ.25, P ϭ .52). No significant differences were found between the EV-positive and EV-negative groups or among clinical outcome groups in the degree of initial weakness (strength score), extent of GM or WM injury in either lesion center, or full lesion segment volume.…”

Section: Spinal Cord Analysismentioning

confidence: 94%

“…Measuring at the center of the lesion (lesion center section), clinical outcome significantly worsened as %GM increased (r [9] ϭ Ϫ0.66, P ϭ .05) (Fig 4). Similarly, the %GM injured showed significant correlation with weakness at initial examination for both lesion center measurement (r [9] ϭ Ϫ.78, P ϭ .014) and full lesion segment volume measurements (r [9] ϭ Ϫ0.74, P ϭ .024). There was no significant association between %WM injured and clinical outcome or MRC strength scores at lesion center or full lesion segment volume.…”

Section: Spinal Cord Analysismentioning

confidence: 96%

“…However, in a variety of SC pathologies, defining the pattern and extent of signal abnormality on MR imaging can aid in diagnosis and prognosis. 6 The recent development of a standard SC template 7 -as part of the Spinal Cord Toolbox (SCT) 8 -that includes probabilistic maps of GM and WM 9 now makes it possible to quantify the severity of SC injury. [10][11][12] We aimed to measure the proportion of GM and WM damage in patients with AFM occurring in association with the EV-D68 outbreak.…”

mentioning

confidence: 99%

See 4 more Smart Citations

MRI Atlas-Based Measurement of Spinal Cord Injury Predicts Outcome in Acute Flaccid Myelitis

McCoy

Talbott

Wilson

et al. 2016

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE:Recent advances in spinal cord imaging analysis have led to the development of a robust anatomic template and atlas incorporated into an open-source platform referred to as the Spinal Cord Toolbox. Using the Spinal Cord Toolbox, we sought to correlate measures of GM, WM, and cross-sectional area pathology on T2 MR imaging with motor disability in patients with acute flaccid myelitis.

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Section: Spinal Cord Analysismentioning

confidence: 82%

Section: Spinal Cord Analysismentioning

confidence: 94%

Section: Spinal Cord Analysismentioning

confidence: 94%

Section: Spinal Cord Analysismentioning

confidence: 96%

mentioning

confidence: 99%

See 3 more Smart Citations

MRI Atlas-Based Measurement of Spinal Cord Injury Predicts Outcome in Acute Flaccid Myelitis

McCoy

Talbott

Wilson

et al. 2016

AJNR Am J Neuroradiol

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Effectiveness of regional diffusion MRI measures in distinguishing multiple sclerosis abnormalities within the cervical spinal cord

Snoussi,

Cohen‐Adad,

Combès

et al. 2023

Brain and Behavior

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IntroductionMultiple sclerosis (MS) is an inflammatory disorder of the central nervous system. Although conventional magnetic resonance imaging (MRI) is widely used for MS diagnosis and clinical follow‐up, quantitative MRI has the potential to provide valuable intrinsic values of tissue properties that can enhance accuracy. In this study, we investigate the efficacy of diffusion MRI in distinguishing MS lesions within the cervical spinal cord, using a combination of metrics extracted from diffusion tensor imaging and Ball‐and‐Stick models.MethodsWe analyzed spinal cord data acquired from multiple hospitals and extracted average diffusion MRI metrics per vertebral level using a collection of image processing methods and an atlas‐based approach. We then performed a statistical analysis to evaluate the feasibility of these metrics for detecting lesions, exploring the usefulness of combining different metrics to improve accuracy.ResultsOur study demonstrates the sensitivity of each metric to underlying microstructure changes in MS patients. We show that selecting a specific subset of metrics, which provide complementary information, significantly improves the prediction score of lesion presence in the cervical spinal cord. Furthermore, the Ball‐and‐Stick model has the potential to provide novel information about the microstructure of damaged tissue.ConclusionOur results suggest that diffusion measures, particularly combined measures, are sensitive in discriminating abnormal from healthy cervical vertebral levels in patients. This information could aid in improving MS diagnosis and clinical follow‐up. Our study highlights the potential of the Ball‐and‐Stick model in providing additional insights into the microstructure of the damaged tissue.

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Tract‐Specific Spinal Cord Diffusion Tensor Imaging in Friedreich's Ataxia

et al. 2021

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Background Spinal cord (SC) damage is a hallmark in Friedreich's ataxia (FRDA). Neuroimaging has been able to capture some SC macroscopic changes, but no study has evaluated microstructural SC white matter (WM) damage in vivo. Objectives We designed a cross‐sectional study to evaluate microstructural integrity in SC WM tracts of FRDA patients using diffusion tensor imaging (DTI) with an automated analysis pipeline. Methods Thirty patients and 30 matched healthy controls underwent 3 Tesla (T) magnetic resonance imaging (MRI). We obtained cervical SC T2 and diffusion‐weighted imaging (DWI) acquisitions. Images were processed using the Spinal Cord Toolbox v.4.3.0. For levels C2‐C5, we measured cross‐sectional area (CSA) and WM DTI parameters (axial diffusivity [AD], fractional anisotropy [FA], radial diffusivity [RD], and mean diffusivity [MD]). Age, duration, and FARS scores were also obtained. Results Mean age and disease duration of patients were 31 ± 10 and 11 ± 9 years, respectively. There was CSA reduction in FRDA amongst all levels. Between‐group differences in FA, MD, and RD in total white matter (TWM), dorsal columns (DC), fasciculus gracilis (FG), fasciculus cuneatus (FC), and corticospinal tracts (CST) were present in all levels. FA and RD from TWM, DC, FC, and CST correlated with FARS scores, and in CST they also correlated with disease duration. Conclusion DTI uncovered abnormalities in SC WM tracts, which correlated with clinical features in FRDA. CSA and CST FA in C2 correlated best with disease severity, whereas DC FA showed the largest effect size to differentiate patients and healthy controls. SC WM microstructure is a potential neuroimaging biomarker to be explored in the disease. © 2021 International Parkinson and Movement Disorder Society

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White matter atlas of the human spinal cord with estimation of partial volume effect

Cited by 104 publications

References 36 publications

MRI Atlas-Based Measurement of Spinal Cord Injury Predicts Outcome in Acute Flaccid Myelitis

MRI Atlas-Based Measurement of Spinal Cord Injury Predicts Outcome in Acute Flaccid Myelitis

Effectiveness of regional diffusion MRI measures in distinguishing multiple sclerosis abnormalities within the cervical spinal cord

Tract‐Specific Spinal Cord Diffusion Tensor Imaging in Friedreich's Ataxia

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