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

J 2024

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

VALOŠEK, Jan, Sandrine BÉDARD, Miloš KEŘKOVSKÝ, Tomáš ROHAN, Julien COHEN-ADAD et. al.

Basic information

Original name

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

Authors

VALOŠEK, Jan (203 Czech Republic), Sandrine BÉDARD, Miloš KEŘKOVSKÝ (203 Czech Republic, belonging to the institution), Tomáš ROHAN (203 Czech Republic, belonging to the institution) and Julien COHEN-ADAD

Edition

Imaging Neuroscience, United States, MIT Press, 2024, 2837-6056

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30210 Clinical neurology

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Organization unit

Faculty of Medicine

DOI

http://dx.doi.org/10.1162/imag_a_00075

Keywords in English

Spinal cord; morphometric measures; normalization; normative values

Abstract

V originále

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.

Links

NU22-04-00024, research and development project

Name: Kvantitativní zobrazovací MR parametry jako prediktory průběhu nemyelopatické degenerativní komprese krční míchy: longitudinální studie

Investor: Ministry of Health of the CR, Quantitative magnetic resonance imaging parameters as predictors of outcome of non-myelopathic degenerative cervical cord compression: a longitudinal study, Subprogram 1 - standard

Citovat

VALOŠEK, Jan, Sandrine BÉDARD, Miloš KEŘKOVSKÝ, Tomáš ROHAN and Julien COHEN-ADAD. A database of the healthy human spinal cord morphometry in the PAM50 template space. Imaging Neuroscience. United States: MIT Press, 2024, vol. 2, No 2024, p. 1-15. ISSN 2837-6056. Available from: https://dx.doi.org/10.1162/imag_a_00075.

@article{2423777,
   author = {Valošek, Jan and Bédard, Sandrine and Keřkovský, Miloš and Rohan, Tomáš and CohenandAdad, Julien},
   article_location = {United States},
   article_number = {2024},
   doi = {http://dx.doi.org/10.1162/imag_a_00075},
   keywords = {Spinal cord; morphometric measures; normalization; normative values},
   language = {eng},
   issn = {2837-6056},
   journal = {Imaging Neuroscience},
   title = {A database of the healthy human spinal cord morphometry in the PAM50 template space},
   url = {https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00075/119044/A-database-of-the-healthy-human-spinal-cord},
   volume = {2},
   year = {2024}
}

TY  - JOUR
ID  - 2423777
AU  - Valošek, Jan - Bédard, Sandrine - Keřkovský, Miloš - Rohan, Tomáš - Cohen-Adad, Julien
PY  - 2024
TI  - A database of the healthy human spinal cord morphometry in the PAM50 template space
JF  - Imaging Neuroscience
VL  - 2
IS  - 2024
SP  - 1-15
EP  - 1-15
PB  - MIT Press
SN  - 28376056
KW  - Spinal cord
KW  - morphometric measures
KW  - normalization
KW  - normative values
UR  - https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00075/119044/A-database-of-the-healthy-human-spinal-cord
N2  - 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.
ER  -

VALOŠEK, Jan, Sandrine BÉDARD, Miloš KEŘKOVSKÝ, Tomáš ROHAN and Julien COHEN-ADAD. A database of the healthy human spinal cord morphometry in the PAM50 template space. \textit{Imaging Neuroscience}. United States: MIT Press, 2024, vol.~2, No~2024, p.~1-15. ISSN~2837-6056. Available from: https://dx.doi.org/10.1162/imag\_{}a\_{}00075.

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