Computer-based segmentation, change detection and quantification for lesions in multiple sclerosis

2017 ◽  
Author(s):  
Evgin Goceri ◽  
Caner Songul
Keyword(s):  
Multiple Sclerosis ◽  
Change Detection ◽  
Computer Based ◽  
Detection And Quantification

Upper Extremity Motor Fatigability as an Early Indicator in Pediatric Onset Multiple Sclerosis

2021 ◽  
pp. 088307382199988
Author(s):  
Giuseppina Pilloni ◽  
Martin Malik ◽  
Raghav Malik ◽  
Lauren Krupp ◽  
Leigh Charvet
Keyword(s):  
Multiple Sclerosis ◽  
Grip Strength ◽  
Upper Extremity ◽  
Static Fatigue ◽  
Healthy Controls ◽  
Fatigue Index ◽  
Left Hand ◽  
Right Hand ◽  
Computer Based ◽  
Pediatric Onset

Aim: To adopt a computer-based protocol to assess grip fatigability in patients with pediatric-onset multiple sclerosis to provide detection of subtle motor involvement identifying those patients most at risk for future decline. Method: Pediatric-onset multiple sclerosis patients were recruited during routine outpatient visits to complete a grip assessment and compared to a group of healthy age- and sex-matched controls. All participants completed a computer-based measurement of standard maximal grip strength and repetitive and sustained grip performance measured by dynamic and static fatigue indices. Results: A total of 38 patients with pediatric-onset multiple sclerosis and 24 healthy controls completed the grip protocol (right-hand dominant). There were no significant group differences in maximal grip strength bilaterally (right: 21.8 vs 19.9 kg, P = .25; left: 20.4 vs 18.7 kg, P = .33), although males with pediatric-onset multiple sclerosis were significantly less strong than healthy controls (right: 26.53 vs 21.23 kg, P = .009; left; 25.13 vs 19.63 kg, P = .003). Both dynamic and static fatigue indices were significantly higher bilaterally in pediatric-onset multiple sclerosis compared with healthy control participants (left-hand dynamic fatigue index: 18.6% vs 26.7%, P = .003; right-hand static fatigue index: 28.3% vs 41.3%, P < .001; left-hand static fatigue index: 31.9% vs 42.6%, P < .001). Conclusion: Brief repeatable grip assessment including measures of dynamic and sustained static output can be a sensitive indicator of upper extremity motor involvement in pediatric-onset multiple sclerosis, potentially identifying those in need of intervention to prevent future disability.

Automatic change detection and quantification of dermatological diseases with an application to psoriasis images

2007 ◽  
Vol 28 (9) ◽  
pp. 1012-1018 ◽  
Author(s):  
David Delgado Gomez ◽  
Constantine Butakoff ◽  
Bjarne Ersbøll ◽  
Jens Michael Carstensen
Keyword(s):  
Change Detection ◽  
Dermatological Diseases ◽  
Detection And Quantification

scholarly journals Brief Computer-Based Information Processing Measures are Linked to White Matter Integrity in Pediatric-Onset Multiple Sclerosis

2018 ◽  
Vol 29 (1) ◽  
pp. 140-150 ◽  
Author(s):  
Elizabeth Bartlett ◽  
Michael Shaw ◽  
Colleen Schwarz ◽  
Charles Feinberg ◽  
Christine DeLorenzo ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Information Processing ◽  
White Matter ◽  
White Matter Integrity ◽  
Computer Based ◽  
Pediatric Onset

scholarly journals Novel computer-based testing shows multi-domain cognitive dysfunction in patients with multiple sclerosis

2018 ◽  
Vol 4 (2) ◽  
pp. 205521731876745 ◽  
Author(s):  
Andrew D Smith ◽  
Charles Duffy ◽  
Andrew D Goodman
Keyword(s):  
Multiple Sclerosis ◽  
Cognitive Dysfunction ◽  
Neuropsychological Testing ◽  
Poor Quality ◽  
Cognitive Testing ◽  
Routine Clinical Setting ◽  
Baseline Testing ◽  
Computer Based ◽  
Test Retest Reliability

Background Although cognitive dysfunction is a leading cause of disability and poor quality of life in patients with multiple sclerosis (MS), it is infrequently tested in routine clinical evaluation. Development of a cognitive testing paradigm that captured MS-related cognitive dysfunction and could be obtained in a routine clinical setting may increase surveillance and recognition of cognitive dysfunction. Objectives This was a pilot study to determine if Cognivue could find cognitive performance differences between patients with MS and healthy controls (HC). Methods: A total of 24 patients with MS and 12 HCs between 18 and 50 years old were enrolled. Baseline testing included an Expanded Disability Scale (EDSS), paced auditory serial additions test (PASAT), symbol digit modalities test (SDMT) and Cognivue. Subjects then had repeat testing every 1–2 months for a maximum of three tests. Results Significant differences were found between MS and HC on SDMT, PASAT, and Cognivue Total score. Most Cognivue subtests showed significant differences between MS and HC. Cognivue scores correlated with both SDMT and PASAT and had high test-retest reliability in HCs. Conclusion Cognivue was able to detect multi-domain cognitive dysfunction in MS. Further studies to determine validity of Cognivue in MS with comparison with neuropsychological testing and sensitivity to clinical change are still needed.

Generalized likelihood ratio tests for change detection in diffusion tensor images: Application to multiple sclerosis

2012 ◽  
Vol 16 (1) ◽  
pp. 325-338 ◽  
Author(s):  
Hervé Boisgontier ◽  
Vincent Noblet ◽  
Fabrice Heitz ◽  
Lucien Rumbach ◽  
Jean-Paul Armspach
Keyword(s):  
Multiple Sclerosis ◽  
Change Detection ◽  
Likelihood Ratio ◽  
Diffusion Tensor ◽  
Likelihood Ratio Tests ◽  
Generalized Likelihood Ratio ◽  
Diffusion Tensor Images
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