ECTRIMS eLearning

Instrumental, clinical, and patient reported sensorimotor correlates of spinal cord grey and total cord areas
Author(s): ,
A.M. Alexander
Affiliations:
UCSF Department of Neurology, San Francisco, CA, United States
,
J.K. Arjona
Affiliations:
UCSF Department of Neurology, San Francisco, CA, United States
,
J. Graves
Affiliations:
UCSF Department of Neurology, San Francisco, CA, United States
,
V. Block
Affiliations:
UCSF Department of Neurology, San Francisco, CA, United States
,
N. Papinutto
Affiliations:
UCSF Department of Neurology, San Francisco, CA, United States
,
W.A. Stern
Affiliations:
UCSF Department of Neurology, San Francisco, CA, United States
,
J.M. Gelfand
Affiliations:
UCSF Department of Neurology, San Francisco, CA, United States
,
A. Bishof
Affiliations:
UCSF Department of Neurology, San Francisco, CA, United States
,
A.R. Romeo
Affiliations:
UCSF Department of Neurology, San Francisco, CA, United States
,
S. Jia
Affiliations:
UCSF Department of Neurology, San Francisco, CA, United States
,
B.A.C. Cree
Affiliations:
UCSF Department of Neurology, San Francisco, CA, United States
,
S.L. Hauser
Affiliations:
UCSF Department of Neurology, San Francisco, CA, United States
R.G. Henry
Affiliations:
UCSF Department of Neurology, San Francisco, CA, United States
ECTRIMS Learn. Alexander A. 10/12/18; 228988; P1148
Amber Alexander
Amber Alexander
Contributions
Abstract

Abstract: P1148

Type: Poster Sessions

Abstract Category: Pathology and pathogenesis of MS - MRI and PET

Introduction: In order to assess differences in the relationships between cord grey and white matter areas and methods practiced to quantify loss of sensorimotor function in patients suffering with Multiple Sclerosis (MS), a cohort of patients and healthy controls received MR imaging and sensorimotor function assessed from three perspectives: (1) physician evaluations using traditional methods; (2) questionnaires on patient interpreted disability; (3) exams using sensorimotor instruments.
Methods: 50 MS patients (23 men, 27 women) plus 10 healthy controls, ages 18-70 underwent MRI scans including an axial scan of the C2-C3 cervical spine. The spinal cord image was segmented using Jim 7.0 to calculate a total cord area (TCA) and grey matter area (GMA). The physician evaluation metrics included EDSS (Expanded Disability Status Scale), 25-ft walk time (WT) and 9-hole peg test (9HPT). Questionnaires consisted of PREDSS (Patient Reported EDSS), AI (Ambulatory Index), Disability Scale (DS), Neurological Rating Scale (NRS), Functional Scale (FS), Walking Assistance (WA), and WHODAS (World Health Org. Disability Assessment). Instrumental exams employed the microFET hand held neck and arm strength dynamometer, sensory assessment with Vibatron multi-frequency generator, and Jamar digital grip strength dynamometer. Least squares regression models were evaluated with cord areas and sex as independent variables to predict functional metrics.
Results: GMA and TCA were correlated with traditional clinical MS metrics of EDSS (p= 0.0073, p=0.014), 25-foot walk (p=0.028, p=0.014) and the 9HPT (p=0.0056, p=0.0083); sex was not a significant covariant.
All sensorimotor patient reported metrics correlated with GMA (AI p=0.0031, PREDSS p=0.0009, FS p=0.032, NRS p=0.020, DS p=0.032, WA p=0.0061) and/or TCA (AI p=0.0014, PREDSS p=0.0006, FS p=0.070, NRS p=0.029, DS p=0.052, WA p=0.0087). WHODAS was not significantly correlated with any MR cord metrics.
Sensorimotor instrumental metrics showed MRI correlations for sensation (GMA p=0.0011, sex p=0.0041), arm (TCA p=0.0052, sex p=0.0009), neck (TCA p=0.025, sex p< 0.0001), and grip strength (TCA p=0.03, sex p< 0.0001).
Conclusion: All sensorimotor metrics correlated with spinal cord grey matter or whole cord areas suggesting utility of patient reported sensorimotor metrics. Unlike physician and patient reported metrics, instrumental metrics measuring force had to be adjusted for sex due to normal differences of strength between men and women.
Disclosure: Funding for Study: US Department of Defense A.M. Alexander: nothing to disclose. J.K. Arjona: nothing to disclose. J. Graves: nothing to disclose. V. Block: nothing to disclose. N. Papinutto: nothing to disclose. W.A. Stern: nothing to disclose. J.M. Gelfand: nothing to disclose. A. Bischof: nothing to disclose. A.R. Romeo: nothing to disclose. S. Jia: nothing to disclose. B.A.C. Cree: nothing to disclose. S.L. Hauser: nothing to disclose. R.G. Henry: nothing to disclose.

Abstract: P1148

Type: Poster Sessions

Abstract Category: Pathology and pathogenesis of MS - MRI and PET

Introduction: In order to assess differences in the relationships between cord grey and white matter areas and methods practiced to quantify loss of sensorimotor function in patients suffering with Multiple Sclerosis (MS), a cohort of patients and healthy controls received MR imaging and sensorimotor function assessed from three perspectives: (1) physician evaluations using traditional methods; (2) questionnaires on patient interpreted disability; (3) exams using sensorimotor instruments.
Methods: 50 MS patients (23 men, 27 women) plus 10 healthy controls, ages 18-70 underwent MRI scans including an axial scan of the C2-C3 cervical spine. The spinal cord image was segmented using Jim 7.0 to calculate a total cord area (TCA) and grey matter area (GMA). The physician evaluation metrics included EDSS (Expanded Disability Status Scale), 25-ft walk time (WT) and 9-hole peg test (9HPT). Questionnaires consisted of PREDSS (Patient Reported EDSS), AI (Ambulatory Index), Disability Scale (DS), Neurological Rating Scale (NRS), Functional Scale (FS), Walking Assistance (WA), and WHODAS (World Health Org. Disability Assessment). Instrumental exams employed the microFET hand held neck and arm strength dynamometer, sensory assessment with Vibatron multi-frequency generator, and Jamar digital grip strength dynamometer. Least squares regression models were evaluated with cord areas and sex as independent variables to predict functional metrics.
Results: GMA and TCA were correlated with traditional clinical MS metrics of EDSS (p= 0.0073, p=0.014), 25-foot walk (p=0.028, p=0.014) and the 9HPT (p=0.0056, p=0.0083); sex was not a significant covariant.
All sensorimotor patient reported metrics correlated with GMA (AI p=0.0031, PREDSS p=0.0009, FS p=0.032, NRS p=0.020, DS p=0.032, WA p=0.0061) and/or TCA (AI p=0.0014, PREDSS p=0.0006, FS p=0.070, NRS p=0.029, DS p=0.052, WA p=0.0087). WHODAS was not significantly correlated with any MR cord metrics.
Sensorimotor instrumental metrics showed MRI correlations for sensation (GMA p=0.0011, sex p=0.0041), arm (TCA p=0.0052, sex p=0.0009), neck (TCA p=0.025, sex p< 0.0001), and grip strength (TCA p=0.03, sex p< 0.0001).
Conclusion: All sensorimotor metrics correlated with spinal cord grey matter or whole cord areas suggesting utility of patient reported sensorimotor metrics. Unlike physician and patient reported metrics, instrumental metrics measuring force had to be adjusted for sex due to normal differences of strength between men and women.
Disclosure: Funding for Study: US Department of Defense A.M. Alexander: nothing to disclose. J.K. Arjona: nothing to disclose. J. Graves: nothing to disclose. V. Block: nothing to disclose. N. Papinutto: nothing to disclose. W.A. Stern: nothing to disclose. J.M. Gelfand: nothing to disclose. A. Bischof: nothing to disclose. A.R. Romeo: nothing to disclose. S. Jia: nothing to disclose. B.A.C. Cree: nothing to disclose. S.L. Hauser: nothing to disclose. R.G. Henry: nothing to disclose.

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