Ji Young Lee1, Young-Jun Lee2, Dong Woo Park3, Yoonho Nam4, Seung Hyun Kim5, Jinseok Park5, Young Seo Kim5, Hyun Young Kim5, Ki-Wook Oh5. 1. Department of Radiology, Hanyang University Hospital, Hanyang University College of Medicine, 17 Haengdang-dong, Seongdong-gu, Seoul, 133-792, Korea. 2. Department of Radiology, Hanyang University Hospital, Hanyang University College of Medicine, 17 Haengdang-dong, Seongdong-gu, Seoul, 133-792, Korea. yjleeee@hanyang.ac.kr. 3. Department of Radiology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Korea. 4. Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. 5. Department of Neurology, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Korea.
Abstract
PURPOSE: The purpose of this study was to investigate the differences in motor cortex susceptibility among patients with amyotrophic lateral sclerosis (ALS), cerebrovascular disease (CVD), and healthy controls using quantitative susceptibility mapping (QSM). METHODS: We retrospectively reviewed 78 QSM images from 26 patients with ALS, 26 age- and sex-matched patients with CVD, and 26 healthy controls. A region of interest was drawn in the hand lobule of both the motor cortexes and subcortical white matter. The relative susceptibility (RS) of the motor cortex was obtained by subtracting the susceptibility of the subcortical white matter from that of the motor cortex. We compared the cortexmean, cortexmax, subcortical white mattermean, RSmean, and RSmax values among the three groups using analysis of variance and Tukey's post hoc test. Receiver operating characteristic (ROC) curve analysis was also performed. RESULTS: There were significant differences in the cortexmean, cortexmax, RSmean, and RSmax among the three groups, with higher values in patients with ALS (p = 0.01, p = 0.004, p < 0.001, and p < 0.001, respectively). Subcortical white mattermean was significantly lower in patients with ALS compared with patients with CVD and healthy controls (p = 0.04). ROC curve analysis showed that the area under the curve of RSmean was 0.70, the highest among the measured parameters. CONCLUSION: Quantitative measurements of susceptibility of the motor cortex with QSM demonstrate its potential as an imaging biomarker in ALS patients.
PURPOSE: The purpose of this study was to investigate the differences in motor cortex susceptibility among patients with amyotrophic lateral sclerosis (ALS), cerebrovascular disease (CVD), and healthy controls using quantitative susceptibility mapping (QSM). METHODS: We retrospectively reviewed 78 QSM images from 26 patients with ALS, 26 age- and sex-matched patients with CVD, and 26 healthy controls. A region of interest was drawn in the hand lobule of both the motor cortexes and subcortical white matter. The relative susceptibility (RS) of the motor cortex was obtained by subtracting the susceptibility of the subcortical white matter from that of the motor cortex. We compared the cortexmean, cortexmax, subcortical white mattermean, RSmean, and RSmax values among the three groups using analysis of variance and Tukey's post hoc test. Receiver operating characteristic (ROC) curve analysis was also performed. RESULTS: There were significant differences in the cortexmean, cortexmax, RSmean, and RSmax among the three groups, with higher values in patients with ALS (p = 0.01, p = 0.004, p < 0.001, and p < 0.001, respectively). Subcortical white mattermean was significantly lower in patients with ALS compared with patients with CVD and healthy controls (p = 0.04). ROC curve analysis showed that the area under the curve of RSmean was 0.70, the highest among the measured parameters. CONCLUSION: Quantitative measurements of susceptibility of the motor cortex with QSM demonstrate its potential as an imaging biomarker in ALSpatients.
Authors: Andrew D Schweitzer; Tian Liu; Ajay Gupta; Karen Zheng; Stephen Seedial; Alexander Shtilbans; Mona Shahbazi; Dale Lange; Yi Wang; A John Tsiouris Journal: AJR Am J Roentgenol Date: 2015-05 Impact factor: 3.959
Authors: Xu Li; Daniel M Harrison; Hongjun Liu; Craig K Jones; Jiwon Oh; Peter A Calabresi; Peter C M van Zijl Journal: J Magn Reson Imaging Date: 2015-06-14 Impact factor: 4.813
Authors: B C Bowen; P M Pattany; W G Bradley; J B Murdoch; F Rotta; A A Younis; R C Duncan; R M Quencer Journal: AJNR Am J Neuroradiol Date: 2000-04 Impact factor: 3.825
Authors: Y Korogi; T Hirai; Y Komohara; T Okuda; I Ikushima; M Kitajima; Y Shigematu; T Sugahara; M Takahashi Journal: AJNR Am J Neuroradiol Date: 1997-04 Impact factor: 3.825
Authors: Anjan Bhattarai; Zhaolin Chen; Phillip G D Ward; Paul Talman; Susan Mathers; Thanh G Phan; Caron Chapman; James Howe; Sarah Lee; Yennie Lie; Gary F Egan; Phyllis Chua Journal: Quant Imaging Med Surg Date: 2020-07