Quantification of cervical cord cross-sectional area: which acquisition, vertebra level, and analysis software? A multicenter repeatability study on a traveling healthy volunteer

Background: Considerable spinal cord (SC) atrophy occurs in multiple sclerosis (MS). While MRI-based techniques for SC cross-sectional area (CSA) quantification have improved over time, there is no common agreement on whether to measure at single vertebral levels or across larger regions and whether...

ver descrição completa

Detalhes bibliográficos
Autores: Lukas, Carsten, Bellenberg, Barbara, Prados Carrasco, Ferran, Valsasina, Paola, Parmar, Katrin, Brouwer, Iman, Pareto, Deborah, Rovira, Alex, Sastre Garriga, Jaume, Gandini Wheeler-Kingshott, Claudia A.M., Kappos, Ludwig, Rocca, Maria A., Filippi, Massimo, Yiannakas, Marios, Barkhof, Frederik, Vrenken, Hugo
Formato: artículo
Fecha de publicación:2021
País:España
Recursos:Universitat Oberta de Catalunya (UOC)
Repositorio:O2, repositorio institucional de la UOC
OAI Identifier:oai:openaccess.uoc.edu:10609/137156
Acesso em linha:https://hdl.handle.net/10609/137156
Access Level:acceso abierto
Palavra-chave:spinal cord
cervical cord
atrophy
cross-sectional area
CSA
MRI
cord segmentation software
multiple sclerosis
id ES_d96e29679d2bdd48d32d7e6cb01af99d
oai_identifier_str oai:openaccess.uoc.edu:10609/137156
network_acronym_str ES
network_name_str España
repository_id_str
spelling Quantification of cervical cord cross-sectional area: which acquisition, vertebra level, and analysis software? A multicenter repeatability study on a traveling healthy volunteerLukas, CarstenBellenberg, BarbaraPrados Carrasco, FerranValsasina, PaolaParmar, KatrinBrouwer, ImanPareto, DeborahRovira, AlexSastre Garriga, JaumeGandini Wheeler-Kingshott, Claudia A.M.Kappos, LudwigRocca, Maria A.Filippi, MassimoYiannakas, MariosBarkhof, FrederikVrenken, Hugospinal cordcervical cordatrophycross-sectional areaCSAMRIcord segmentation softwaremultiple sclerosisBackground: Considerable spinal cord (SC) atrophy occurs in multiple sclerosis (MS). While MRI-based techniques for SC cross-sectional area (CSA) quantification have improved over time, there is no common agreement on whether to measure at single vertebral levels or across larger regions and whether upper SC CSA can be reliably measured from brain images. Aim: To compare in a multicenter setting three CSA measurement methods in terms of repeatability at different anatomical levels. To analyze the agreement between measurements performed on the cervical cord and on brain MRI. Method: One healthy volunteer was scanned three times on the same day in six sites (three scanner vendors) using a 3T MRI protocol including sagittal 3D T1-weighted imaging of the brain (covering the upper cervical cord) and of the SC. Images were analyzed using two semiautomated methods [NeuroQLab (NQL) and the Active Surface Model (ASM)] and the fully automated Spinal Cord Toolbox (SCT) on different vertebral levels (C1-C2; C2/3) on SC and brain images and the entire cervical cord (C1-C7) on SC images only. Results: CSA estimates were significantly smaller using SCT compared to NQL and ASM (p < 0.001), regardless of the cord level. Inter-scanner repeatability was best in C1-C7: coefficients of variation for NQL, ASM, and SCT: 0.4, 0.6, and 1.0%, respectively. CSAs estimated in brain MRI were slightly lower than in SC MRI (all p >_ 0.006 at the C1-C2 level). Despite protocol harmonization between the centers with regard to image resolution and use of high-contrast 3D T1-weighted sequences, the variability of CSA was partly scanner dependent probably due to differences in scanner geometry, coil design, and details of the MRI parameter settings. Conclusion: For CSA quantification, dedicated isotropic SC MRI should be acquired, which yielded best repeatability in the entire cervical cord. In the upper part of the cervical cord, use of brain MRI scans entailed only a minor loss of CSA repeatability compared to SC MRI. Due to systematic differences between scanners and the CSA quantification software, both should be kept constant within a study. The MRI dataset of this study is available publicly to test new analysis approaches.Frontiers in NeurologyUniversitat Oberta de Catalunya (UOC)Universitat Oberta de Catalunya. eHealth Center202220222021info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10609/137156reponame:O2, repositorio institucional de la UOCinstname:Universitat Oberta de Catalunya (UOC)Inglés12;http://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:openaccess.uoc.edu:10609/1371562026-05-28T12:42:01Z
dc.title.none.fl_str_mv Quantification of cervical cord cross-sectional area: which acquisition, vertebra level, and analysis software? A multicenter repeatability study on a traveling healthy volunteer
title Quantification of cervical cord cross-sectional area: which acquisition, vertebra level, and analysis software? A multicenter repeatability study on a traveling healthy volunteer
spellingShingle Quantification of cervical cord cross-sectional area: which acquisition, vertebra level, and analysis software? A multicenter repeatability study on a traveling healthy volunteer
Lukas, Carsten
spinal cord
cervical cord
atrophy
cross-sectional area
CSA
MRI
cord segmentation software
multiple sclerosis
title_short Quantification of cervical cord cross-sectional area: which acquisition, vertebra level, and analysis software? A multicenter repeatability study on a traveling healthy volunteer
title_full Quantification of cervical cord cross-sectional area: which acquisition, vertebra level, and analysis software? A multicenter repeatability study on a traveling healthy volunteer
title_fullStr Quantification of cervical cord cross-sectional area: which acquisition, vertebra level, and analysis software? A multicenter repeatability study on a traveling healthy volunteer
title_full_unstemmed Quantification of cervical cord cross-sectional area: which acquisition, vertebra level, and analysis software? A multicenter repeatability study on a traveling healthy volunteer
title_sort Quantification of cervical cord cross-sectional area: which acquisition, vertebra level, and analysis software? A multicenter repeatability study on a traveling healthy volunteer
dc.creator.none.fl_str_mv Lukas, Carsten
Bellenberg, Barbara
Prados Carrasco, Ferran
Valsasina, Paola
Parmar, Katrin
Brouwer, Iman
Pareto, Deborah
Rovira, Alex
Sastre Garriga, Jaume
Gandini Wheeler-Kingshott, Claudia A.M.
Kappos, Ludwig
Rocca, Maria A.
Filippi, Massimo
Yiannakas, Marios
Barkhof, Frederik
Vrenken, Hugo
author Lukas, Carsten
author_facet Lukas, Carsten
Bellenberg, Barbara
Prados Carrasco, Ferran
Valsasina, Paola
Parmar, Katrin
Brouwer, Iman
Pareto, Deborah
Rovira, Alex
Sastre Garriga, Jaume
Gandini Wheeler-Kingshott, Claudia A.M.
Kappos, Ludwig
Rocca, Maria A.
Filippi, Massimo
Yiannakas, Marios
Barkhof, Frederik
Vrenken, Hugo
author_role author
author2 Bellenberg, Barbara
Prados Carrasco, Ferran
Valsasina, Paola
Parmar, Katrin
Brouwer, Iman
Pareto, Deborah
Rovira, Alex
Sastre Garriga, Jaume
Gandini Wheeler-Kingshott, Claudia A.M.
Kappos, Ludwig
Rocca, Maria A.
Filippi, Massimo
Yiannakas, Marios
Barkhof, Frederik
Vrenken, Hugo
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universitat Oberta de Catalunya (UOC)
Universitat Oberta de Catalunya. eHealth Center
dc.subject.none.fl_str_mv spinal cord
cervical cord
atrophy
cross-sectional area
CSA
MRI
cord segmentation software
multiple sclerosis
topic spinal cord
cervical cord
atrophy
cross-sectional area
CSA
MRI
cord segmentation software
multiple sclerosis
description Background: Considerable spinal cord (SC) atrophy occurs in multiple sclerosis (MS). While MRI-based techniques for SC cross-sectional area (CSA) quantification have improved over time, there is no common agreement on whether to measure at single vertebral levels or across larger regions and whether upper SC CSA can be reliably measured from brain images. Aim: To compare in a multicenter setting three CSA measurement methods in terms of repeatability at different anatomical levels. To analyze the agreement between measurements performed on the cervical cord and on brain MRI. Method: One healthy volunteer was scanned three times on the same day in six sites (three scanner vendors) using a 3T MRI protocol including sagittal 3D T1-weighted imaging of the brain (covering the upper cervical cord) and of the SC. Images were analyzed using two semiautomated methods [NeuroQLab (NQL) and the Active Surface Model (ASM)] and the fully automated Spinal Cord Toolbox (SCT) on different vertebral levels (C1-C2; C2/3) on SC and brain images and the entire cervical cord (C1-C7) on SC images only. Results: CSA estimates were significantly smaller using SCT compared to NQL and ASM (p < 0.001), regardless of the cord level. Inter-scanner repeatability was best in C1-C7: coefficients of variation for NQL, ASM, and SCT: 0.4, 0.6, and 1.0%, respectively. CSAs estimated in brain MRI were slightly lower than in SC MRI (all p >_ 0.006 at the C1-C2 level). Despite protocol harmonization between the centers with regard to image resolution and use of high-contrast 3D T1-weighted sequences, the variability of CSA was partly scanner dependent probably due to differences in scanner geometry, coil design, and details of the MRI parameter settings. Conclusion: For CSA quantification, dedicated isotropic SC MRI should be acquired, which yielded best repeatability in the entire cervical cord. In the upper part of the cervical cord, use of brain MRI scans entailed only a minor loss of CSA repeatability compared to SC MRI. Due to systematic differences between scanners and the CSA quantification software, both should be kept constant within a study. The MRI dataset of this study is available publicly to test new analysis approaches.
publishDate 2021
dc.date.none.fl_str_mv 2021
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10609/137156
url https://hdl.handle.net/10609/137156
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv 12;
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Frontiers in Neurology
publisher.none.fl_str_mv Frontiers in Neurology
dc.source.none.fl_str_mv reponame:O2, repositorio institucional de la UOC
instname:Universitat Oberta de Catalunya (UOC)
instname_str Universitat Oberta de Catalunya (UOC)
reponame_str O2, repositorio institucional de la UOC
collection O2, repositorio institucional de la UOC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869421385526280192
score 15,301603

Registos relacionados