RESUMEN
The intra- and inter-scanner variability of an automated method for MRI-based volumetry was investigated. Using SPM5 algorithms and predefined masks derived from a probabilistic whole-brain atlas, this method allows to determine the volumes of various brain structures (e.g., hemispheres, lobes, cerebellum, basal ganglia, grey and white matter etc.) in single subjects in an observer-independent fashion. A healthy volunteer was scanned three times at six different MRI scanners (including different vendors and field strengths) to calculate intra- and inter-scanner volumetric coefficients of variation (CV). The mean intra-scanner CV values per brain structure ranged from 0.50% to 4.4% (median, 0.89%), while the inter-scanner CV results varied between 0.66% and 14.7% (median, 4.74%). The overall (=combined intra- and inter-scanner) variability of measurements was only marginally higher, with CV results of 0.87-15.1% (median, 4.80%). Furthermore, the minimum percentage volume difference for detecting a significant volume change between two volume measurements in the same subject was calculated for each substructure. For example, for the total brain volume, mean intra-scanner, inter-scanner, and overall CV results were 0.50%, 3.78%, and 3.80%, respectively, and the cut-offs for significant volume changes between two measurements in the same subject amounted to 1.4% for measurements on the same scanner and 10.5% on different scanners. These findings may be useful for planning and assessing volumetric studies in neurological diseases, for the differentiation of certain patterns of atrophy, or for longitudinal studies monitoring the course of a disease and potential therapeutic effects.
Asunto(s)
Mapeo Encefálico/instrumentación , Corteza Cerebral/anatomía & histología , Interpretación de Imagen Asistida por Computador/métodos , Imagen por Resonancia Magnética/instrumentación , Adulto , Algoritmos , Atlas como Asunto , Mapeo Encefálico/métodos , Humanos , Masculino , Reproducibilidad de los ResultadosRESUMEN
Cognitive and emotional capabilities were evaluated in 73 female patients with stable relapsing-remitting definite, and/or laboratory-supported multiple sclerosis (MS) and were compared with 32 matched healthy controls. Patients were categorized according to their score in the expanded disability status scale (EDSS) to either no (EDSS 0, n = 33) or few clinical signs (EDSS 1-2, n = 40) of MS without physical disability. Patients with EDSS > 0 were characterized by significantly (p < 0.001) higher scores on "von Zerssen's" depression scale, compared to controls. Patients with higher EDSS scores (1-2) showed significantly decreased performance with respect to the total score of Kimura's Recurring-Figures-Test (p < 0.001), in addition. Regarding visuo-constructive functioning, patients with EDSS=0 performed to a significantly lower level (p < 0.001), compared to controls. These results indicate that depression may present as an early sign in MS followed by cognitive impairment, in particular visuo-spatial short-term memory, before physical disability appears. Neuropsychological tests as mentioned here could serve as early diagnostic tools to detect subtle disease progression and to initiate and monitor disease modifying therapies.