Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10609/137156
Título : Quantification of cervical cord cross-sectional area: which acquisition, vertebra level, and analysis software? A multicenter repeatability study on a traveling healthy volunteer
Autoría: 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  
Otros: Universitat Oberta de Catalunya (UOC)
Universitat Oberta de Catalunya. eHealth Center
Citación : Lukas C, Bellenberg B, Prados F, Valsasina P, Parmar K, Brouwer I, Pareto D, Rovira À, Sastre-Garriga J, Gandini Wheeler-Kingshott CAM, Kappos L, Rocca MA, Filippi M, Yiannakas M, Barkhof F and Vrenken H (2021) Quantification of Cervical Cord Cross-Sectional Area: Which Acquisition, Vertebra Level, and Analysis Software? A Multicenter Repeatability Study on a Traveling Healthy Volunteer. Front. Neurol. 12:693333. doi: 10.3389/fneur.2021.693333
Resumen : 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.
Palabras clave : spinal cord
cervical cord
atrophy
cross-sectional area
CSA
MRI
cord segmentation software
multiple sclerosis
DOI: 10.3389/fneur.2021.693333
Tipo de documento: info:eu-repo/semantics/article
Fecha de publicación : 4-ago-2021
Licencia de publicación: http://creativecommons.org/licenses/by/3.0/es/  
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