BACKGROUND AND PURPOSE: To find an optimal normalizing factor for upper cervical spinal cord area (UCCA) and to establish whether, in a cross-sectional study, the normalized UCCA correlates better with the neurological disability than the absolute measurement in multiple sclerosis patients. METHODS: UCCA and three potential normalizing factors were estimated from magnetic resonance imaging data in 51 control subjects. Their reliability was assessed and the linear relationships between UCCA and three potential correction factors were investigated. UCCA was then normalized by these factors respectively. On the basis of these results, an optimal factor was selected and applied to 29 MS subjects. RESULTS: An extremely strong correlation between UCCA and LECA was seen (r= .88, P < .01). The coefficient of variation (COV) of UCCA was reduced to 4.4% from 9.3% after correction by LECA. The normalized measurement of UCCA correlated better with the expanded disability status scale (EDSS) than the absolute measurement especially in relapsing-remitting multiple sclerosis patients. Moreover, more spinal cord atrophy was identified in corrected data than uncorrected data. CONCLUSION: Our findings suggest that LECA is an optimal correction factor for UCCA and normalized UCCA is preferable to absolute measurement in cross-sectional study.
BACKGROUND AND PURPOSE: To find an optimal normalizing factor for upper cervical spinal cord area (UCCA) and to establish whether, in a cross-sectional study, the normalized UCCA correlates better with the neurological disability than the absolute measurement in multiple sclerosispatients. METHODS: UCCA and three potential normalizing factors were estimated from magnetic resonance imaging data in 51 control subjects. Their reliability was assessed and the linear relationships between UCCA and three potential correction factors were investigated. UCCA was then normalized by these factors respectively. On the basis of these results, an optimal factor was selected and applied to 29 MS subjects. RESULTS: An extremely strong correlation between UCCA and LECA was seen (r= .88, P < .01). The coefficient of variation (COV) of UCCA was reduced to 4.4% from 9.3% after correction by LECA. The normalized measurement of UCCA correlated better with the expanded disability status scale (EDSS) than the absolute measurement especially in relapsing-remitting multiple sclerosispatients. Moreover, more spinal cord atrophy was identified in corrected data than uncorrected data. CONCLUSION: Our findings suggest that LECA is an optimal correction factor for UCCA and normalized UCCA is preferable to absolute measurement in cross-sectional study.
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Authors: Nico Papinutto; Regina Schlaeger; Valentina Panara; Alyssa H Zhu; Eduardo Caverzasi; William A Stern; Stephen L Hauser; Roland G Henry Journal: PLoS One Date: 2015-03-17 Impact factor: 3.240
Authors: Burcu Zeydan; Xinyi Gu; Elizabeth J Atkinson; B Mark Keegan; Brian G Weinshenker; Jan-Mendelt Tillema; Daniel Pelletier; Christina J Azevedo; Christine Lebrun-Frenay; Aksel Siva; Darin T Okuda; Kejal Kantarci; Orhun H Kantarci Journal: Neurol Neuroimmunol Neuroinflamm Date: 2018-01-22
Authors: Eva M Kesenheimer; Maria Janina Wendebourg; Matthias Weigel; Claudia Weidensteiner; Tanja Haas; Laura Richter; Laura Sander; Antal Horvath; Muhamed Barakovic; Philippe Cattin; Cristina Granziera; Oliver Bieri; Regina Schlaeger Journal: Front Neurol Date: 2021-03-25 Impact factor: 4.003