ECTRIMS eLearning

Brain volume, quantified using fully automated MRI segmentation software, correlates with global disability state and cognitive functioning in MS patients
Author(s): ,
I Casanova
Affiliations:
Neurology department, Hospital universitario de Torrejón, Torrejón de Ardoz, Madrid
,
L De Vicente
Affiliations:
General Health Psychology, Universidad autonoma de Madrid, Madrid
,
C López De Silanes
Affiliations:
Neurology department, Hospital universitario de Torrejón, Torrejón de Ardoz, Madrid
,
M González
Affiliations:
Neurology department, Hospital universitario de Torrejón, Torrejón de Ardoz, Madrid
,
M Eimil
Affiliations:
Neurology department, Hospital universitario de Torrejón, Torrejón de Ardoz, Madrid
,
B Oyanguren
Affiliations:
Neurology department, Hospital universitario de Torrejón, Torrejón de Ardoz, Madrid
,
M.J Gil
Affiliations:
Neurology department, Hospital universitario de Torrejón, Torrejón de Ardoz, Madrid
,
M.A Saiz
Affiliations:
Neurology department, Hospital universitario de Torrejón, Torrejón de Ardoz, Madrid
,
B.P Díaz
Affiliations:
Neurology department, Hospital universitario de Torrejón, Torrejón de Ardoz, Madrid
,
S Muñiz
Affiliations:
Neurology department, Hospital universitario de Torrejón, Torrejón de Ardoz, Madrid
,
O Trabajos
Affiliations:
Neurology department, Hospital universitario de Torrejón, Torrejón de Ardoz, Madrid
,
A Ruiz
Affiliations:
Radiology department, Hospital universitario de Torrejón, Torrejón de Ardoz, Madrid, Spain
E De Antonio
Affiliations:
Radiology department, Hospital universitario de Torrejón, Torrejón de Ardoz, Madrid, Spain
ECTRIMS Learn. casanova i. 09/14/16; 145549; EP1453
ignacio casanova
ignacio casanova
Contributions
Abstract

Abstract: EP1453

Type: ePoster

Abstract Category: Pathology and pathogenesis of MS - Imaging

Background: Brain volumetric measures and cognitive assessment in MS are proving to be of great use both in research and in clinical evaluation, correlating with global disability state, and allowing for an operative approach to the degenerative component of the disease. On the one hand, cognitive exams are sufficiently standardized, and are employed by an increasing number of clinicians worldwide. On the other, brain atrophy is already considered as a marker of disease activity, and automated MRI segmentation promises to be of great usefulness in everyday clinical practice settings.

Objectives: To evaluate the degree of accordance between brain morphometric measures and cognitive functioning, using fully automated MRI segmentation software and a detailed cognitive assessment battery, and define their diagnostic correlation with global disability state.

Method: 60 consecutive MS patients underwent thorough cognitive evaluation and quantitative volumetric analysis based on 3D-T1 and 3D-FLAIR weighted images (1.5 T). Morphometric analysis included whole brain volume (WV), gray matter volume (GV) and FLAIR lesion load (LL), using IcoMetrix® (IM), and ventricular (VV) and thalamic volume (TV), using NeuroQuant® (NQ). Cognitive evaluation included Rao´s BRB-N Battery; Logical Memory, Spatial Span and Family Pictures from the WMS-III; Block Design from the WAIS-III; Comprehensive TMT; Frontal Systems Behavior Scale (FrSBe); and Five-Digit Test. Results were adjusted by age, gender, and level of education. Measures of depression (BDI-II), anxiety (STAI), fatigue (EIDF) and quality of life (EQ-5D) were also obtained. Analysis was performed using IBM SPSS® v.19 statistics.

Results: Demographics were similar to those of general MS population: sex ratio 1.6, relapsing MS 71%, age 44.1 (range 23-77), age at debut 31.6, annualized relapse rate 0,37, EDSS 2.72. Statistically significant correlations were obtained between EDDS score and WV, GV, and LL. Spatial recall, visual span, verbal memory, semantic fluency and executive functioning, all were correlated both with NQ and IM values in our sample.

Conclusions: Whole brain volume, using fully automated MRI segmentation, is a valid measure of global functioning in MS patients. Several cognitive domains are impaired in this disease, in line with previous results, with NQ and IM correlating nicely with them. Further analysis is warranted in order to broaden prospective and therapeutic implications of these studies

Disclosure: LI Casanova: nothing to disclose.

L de Vicente: nothing to disclose.

C López de Silanes: nothing to disclose.

M González: nothing to disclose.

M Eimil: nothing to disclose.

MJ Gil: nothing to disclose.

B Oyanguren: nothing to disclose.

MA Saiz: nothing to disclose.

BP Díaz: nothing to disclose.

O Trabajos: nothing to disclose

S Muñiz: nothing to disclose

A Ruiz: nothing to disclose.

E de Antonio: nothing to disclose

Abstract: EP1453

Type: ePoster

Abstract Category: Pathology and pathogenesis of MS - Imaging

Background: Brain volumetric measures and cognitive assessment in MS are proving to be of great use both in research and in clinical evaluation, correlating with global disability state, and allowing for an operative approach to the degenerative component of the disease. On the one hand, cognitive exams are sufficiently standardized, and are employed by an increasing number of clinicians worldwide. On the other, brain atrophy is already considered as a marker of disease activity, and automated MRI segmentation promises to be of great usefulness in everyday clinical practice settings.

Objectives: To evaluate the degree of accordance between brain morphometric measures and cognitive functioning, using fully automated MRI segmentation software and a detailed cognitive assessment battery, and define their diagnostic correlation with global disability state.

Method: 60 consecutive MS patients underwent thorough cognitive evaluation and quantitative volumetric analysis based on 3D-T1 and 3D-FLAIR weighted images (1.5 T). Morphometric analysis included whole brain volume (WV), gray matter volume (GV) and FLAIR lesion load (LL), using IcoMetrix® (IM), and ventricular (VV) and thalamic volume (TV), using NeuroQuant® (NQ). Cognitive evaluation included Rao´s BRB-N Battery; Logical Memory, Spatial Span and Family Pictures from the WMS-III; Block Design from the WAIS-III; Comprehensive TMT; Frontal Systems Behavior Scale (FrSBe); and Five-Digit Test. Results were adjusted by age, gender, and level of education. Measures of depression (BDI-II), anxiety (STAI), fatigue (EIDF) and quality of life (EQ-5D) were also obtained. Analysis was performed using IBM SPSS® v.19 statistics.

Results: Demographics were similar to those of general MS population: sex ratio 1.6, relapsing MS 71%, age 44.1 (range 23-77), age at debut 31.6, annualized relapse rate 0,37, EDSS 2.72. Statistically significant correlations were obtained between EDDS score and WV, GV, and LL. Spatial recall, visual span, verbal memory, semantic fluency and executive functioning, all were correlated both with NQ and IM values in our sample.

Conclusions: Whole brain volume, using fully automated MRI segmentation, is a valid measure of global functioning in MS patients. Several cognitive domains are impaired in this disease, in line with previous results, with NQ and IM correlating nicely with them. Further analysis is warranted in order to broaden prospective and therapeutic implications of these studies

Disclosure: LI Casanova: nothing to disclose.

L de Vicente: nothing to disclose.

C López de Silanes: nothing to disclose.

M González: nothing to disclose.

M Eimil: nothing to disclose.

MJ Gil: nothing to disclose.

B Oyanguren: nothing to disclose.

MA Saiz: nothing to disclose.

BP Díaz: nothing to disclose.

O Trabajos: nothing to disclose

S Muñiz: nothing to disclose

A Ruiz: nothing to disclose.

E de Antonio: nothing to disclose

By clicking “Accept Terms & all Cookies” or by continuing to browse, you agree to the storing of third-party cookies on your device to enhance your user experience and agree to the user terms and conditions of this learning management system (LMS).

Cookie Settings
Accept Terms & all Cookies