OBJECTIVE: In multiple sclerosis (MS), magnetic resonance imaging (MRI) predictors of cognitive impairment are based on sophisticated computer-generated analyses that are difficult to apply in clinical settings. This study investigated the clinical usefulness of a new visual rating scale, the Cholinergic Pathways Hyperintensities Scale (CHIPS), in detecting cognitive dysfunction. METHODS: Forty clinically definite MS patients underwent a brain MRI. Based on the CHIPS, cholinergic pathway hyperintensities were rated in 10 regions on four axial slices. Computerized hyperintense lesion volumes were also obtained. For cognitive testing, The Neuropsychological Screening Battery for Multiple Sclerosis was used. "Low" and "High" lesion score groups were computed based on the mean of the total CHIPS score. Optimal sensitivity and specificity of the total CHIPS score in detecting cognitive impairment were determined using a receiver operator characteristic curve. RESULTS: Despite a similar demographic profile, subjects with a "High" lesion score performed significantly worse than the "Low" lesion score group on verbal (P = .007) and visuospatial (P = .02) memory, and on a global index of cognitive functioning (P = .001). Optimal sensitivity (82%) and specificity (83%) were reached with a threshold total CHIPS score of 18 points. Total CHIPS score and total hyperintense lesion load were correlated (sigma = 0.82, P < .0001). CONCLUSION: CHIPS is helpful in clinically predicting cognitive impairment in MS.
OBJECTIVE: In multiple sclerosis (MS), magnetic resonance imaging (MRI) predictors of cognitive impairment are based on sophisticated computer-generated analyses that are difficult to apply in clinical settings. This study investigated the clinical usefulness of a new visual rating scale, the Cholinergic Pathways Hyperintensities Scale (CHIPS), in detecting cognitive dysfunction. METHODS: Forty clinically definite MS patients underwent a brain MRI. Based on the CHIPS, cholinergic pathway hyperintensities were rated in 10 regions on four axial slices. Computerized hyperintense lesion volumes were also obtained. For cognitive testing, The Neuropsychological Screening Battery for Multiple Sclerosis was used. "Low" and "High" lesion score groups were computed based on the mean of the total CHIPS score. Optimal sensitivity and specificity of the total CHIPS score in detecting cognitive impairment were determined using a receiver operator characteristic curve. RESULTS: Despite a similar demographic profile, subjects with a "High" lesion score performed significantly worse than the "Low" lesion score group on verbal (P = .007) and visuospatial (P = .02) memory, and on a global index of cognitive functioning (P = .001). Optimal sensitivity (82%) and specificity (83%) were reached with a threshold total CHIPS score of 18 points. Total CHIPS score and total hyperintense lesion load were correlated (sigma = 0.82, P < .0001). CONCLUSION: CHIPS is helpful in clinically predicting cognitive impairment in MS.
Authors: L B Krupp; C Christodoulou; P Melville; W F Scherl; L-Y Pai; L R Muenz; D He; R H B Benedict; A Goodman; S Rizvi; S R Schwid; B Weinstock-Guttman; H J Westervelt; H Wishart Journal: Neurology Date: 2011-04-26 Impact factor: 9.910
Authors: Evert-Jan Kooi; Marloes Prins; Natasha Bajic; Jeroen A M Beliën; Wouter H Gerritsen; Jack van Horssen; Eleonora Aronica; Anne-Marie van Dam; Jeroen J M Hoozemans; Paul T Francis; Paul van der Valk; Jeroen J G Geurts Journal: Acta Neuropathol Date: 2011-06-21 Impact factor: 17.088