Association between brain and upper cervical spinal cord atrophy assessed by MRI and disease aggressiveness in amyotrophic lateral sclerosis

Mendili, Mohamed Mounir El; Verschueren, Annie; Ranjeva, Jean‐Philippe; Guye, Maxime; Attarian, Shahram; Zaaraoui, Wafaa; Grapperon, Aude-Marie

doi:10.1007/s00234-023-03191-0

Cited by 4 publications

(2 citation statements)

References 38 publications

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“…Sex was used for CSA normalization in several works ( Bédard & Cohen-Adad, 2022;Kesenheimer et al, 2021;Papinutto et al, 2020;Rashid et al, 2006). Other studies proposed spinal cord length as a normalization factor ( El Mendili et al, 2023;Martin et al, 2017aMartin et al, , 2017bOh et al, 2014;Rocca et al, 2019). Additionally, combining spinal cord length with a Z-score normalization was proposed to account for variations along the superior-inferior axis ( Martin et al, 2017a( Martin et al, , 2017b.…”

Section: Normalization Strategiesmentioning

confidence: 99%

“…Structural magnetic resonance imaging (MRI) is commonly used to assess spinal cord macrostructure and to compute measures of spinal cord morphometry like cross-sectional area (CSA) or anteroposterior (AP) diameter. The morphometric measures serve as objective indicators to evaluate spinal cord pathologies, such as the extent of spinal cord atrophy in multiple sclerosis ( Losseff et al, 1996;Mina et al, 2021;Rocca et al, 2019) and amyotrophic lateral sclerosis ( El Mendili et al, 2023;Paquin et al, 2018) or the severity of spinal cord injury and spinal cord compression in traumatic and non-traumatic spinal cord injury, respectively ( Badhiwala et al, 2020;David et al, 2019;Miyanji et al, 2007).…”

Section: Introduction 1spinal Cord Morphometry Measuresmentioning

confidence: 99%

See 1 more Smart Citation

A database of the healthy human spinal cord morphometry in the PAM50 template space

Valošek,

Bédard,

Keřkovský

et al. 2023

Preprint

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Measures of spinal cord morphometry computed from magnetic resonance images serve as relevant prognostic biomarkers for a range of spinal cord pathologies, including traumatic and non-traumatic spinal cord injury and neurodegenerative diseases. However, interpreting these imaging biomarkers is difficult due to considerable intra-and inter-subject variability. Yet, there is no clear consensus on a normalization method that would help reduce this variability and more insights into the distribution of these morphometrics are needed. In this study, we computed a database of normative values for six commonly used measures of spinal cord morphometry: cross-sectional area, anteroposterior diameter, transverse diameter, compression ratio, eccentricity, and solidity. Normative values were computed from a large open-access dataset of healthy adult volunteers (N = 203) and were brought to the common space of the PAM50 spinal cord template using a newly proposed normalization method based on linear interpolation. Compared to traditional image-based registration, the proposed normalization approach does not involve image transformations and, therefore, does not introduce distortions of spinal cord anatomy. This is a crucial consideration in preserving the integrity of the spinal cord anatomy in conditions such as spinal cord injury. This new morphometric database allows researchers to normalize based on sex and age, thereby minimizing inter-subject variability associated with demographic and biological factors. The proposed methodology is open-source and accessible through the Spinal Cord Toolbox (SCT) v6.0 and higher.

show abstract

Section: Normalization Strategiesmentioning

confidence: 99%

Section: Introduction 1spinal Cord Morphometry Measuresmentioning

confidence: 99%

A database of the healthy human spinal cord morphometry in the PAM50 template space

Valošek,

Bédard,

Keřkovský

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Quantitative brainstem and spinal MRI in amyotrophic lateral sclerosis: implications for predicting noninvasive ventilation needs

Khamaysa,

Lefort,

Pélégrini-Issac

et al. 2023

J Neurol

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A database of the healthy human spinal cord morphometry in the PAM50 template space

Valošek,

Bédard,

Keřkovský

et al. 2024

Imaging Neuroscience

View full text Add to dashboard Cite

Measures of spinal cord morphometry computed from magnetic resonance images serve as relevant prognostic biomarkers for a range of spinal cord pathologies, including traumatic and non-traumatic spinal cord injury and neurodegenerative diseases. However, interpreting these imaging biomarkers is difficult due to considerable intra- and inter-subject variability. Yet, there is no clear consensus on a normalization method that would help reduce this variability and more insights into the distribution of these morphometrics are needed. In this study, we computed a database of normative values for six commonly used measures of spinal cord morphometry: cross-sectional area, anteroposterior diameter, transverse diameter, compression ratio, eccentricity, and solidity. Normative values were computed from a large open-access dataset of healthy adult volunteers (N = 203) and were brought to the common space of the PAM50 spinal cord template using a newly proposed normalization method based on linear interpolation. Compared to traditional image-based registration, the proposed normalization approach does not involve image transformations and, therefore, does not introduce distortions of spinal cord anatomy. This is a crucial consideration in preserving the integrity of the spinal cord anatomy in conditions such as spinal cord injury. This new morphometric database allows researchers to normalize based on sex and age, thereby minimizing inter-subject variability associated with demographic and biological factors. The proposed methodology is open-source and accessible through the Spinal Cord Toolbox (SCT) v6.0 and higher.

show abstract

Association between brain and upper cervical spinal cord atrophy assessed by MRI and disease aggressiveness in amyotrophic lateral sclerosis

Cited by 4 publications

References 38 publications

A database of the healthy human spinal cord morphometry in the PAM50 template space

A database of the healthy human spinal cord morphometry in the PAM50 template space

Quantitative brainstem and spinal MRI in amyotrophic lateral sclerosis: implications for predicting noninvasive ventilation needs

A database of the healthy human spinal cord morphometry in the PAM50 template space

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