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Cobo-Calvo A.,Hospital Universitario Of Bellvitge Idibell | Bau L.,Hospital Universitario Of Bellvitge Idibell | Matas E.,Hospital Universitario Of Bellvitge Idibell | Romero-Pinel L.,Hospital Universitario Of Bellvitge Idibell | And 3 more authors.
European Neurology | Year: 2015

Introduction: We evaluated the effectiveness of natalizumab in patients with highly active, relapsing-remitting multiple sclerosis (HA-RRMS) to identify baseline predictors associated with freedom from disease activity. Methods: We analyzed 70 patients treated with natalizumab and followed for at least 1 year with progression of disability of ≥1 point on the EDSS before starting therapy. We recorded freedom from clinical activity, radiological activity, and disease activity (clinical and radiological). Results: The median (IQR) follow-up was 2.3 (2.0-3.8) years. Of the 52 patients who completed 2 years of treatment, 25 were free of disease activity (48.1%). The ARR decreased from a mean ± SD of 2.49 ± 0.86 at baseline to 0.47 ± 0.83 at the end of the first year (p < 0.001) and 0.34 ± 0.69 at the end of the second year (p < 0.001). The percentage of patients with gadolinium-enhanced lesions decreased from 21 at baseline to 5.7 at the end of the first year (p < 0.001) and to 5.8 during the second year (p < 0.005). Baseline EDSS ≤3.0 was significantly associated with freedom from disease activity (OR, 2.49; 95% CI, 1.24-4.99; p = 0.010). Conclusions: Natalizumab is effective in patients with HA-RRMS. Baseline EDSS ≤3.0 increases the probability of remaining disease-free in HA-RRMS treated with natalizumab. © 2015 S. Karger AG, Basel. Source


Gamez-Cenzano C.,Institute Of Diagnostic Per La Imatge Idi | Pino-Sorroche F.,Institute Catala dOncologia ICO
PET Clinics | Year: 2014

There is a growing interest in using quantification in FDG-PET/CT in oncology, especially for evaluating response to therapy. Complex full quantitative procedures with blood sampling and dynamic scanning have been clinically replaced by the use of standardized uptake value measurements that provide an index of regional tracer uptake normalized to the administered dose of FDG. Some approaches have been proposed for assessing quantitative metabolic response, such as EORTC and PERCIST criteria in solid tumors. When using standardized uptake value in clinical routine and multicenter trials, standardization of protocols and quality control procedures of instrumentation is required. © 2014 Elsevier Inc. All rights reserved. Source


Candiota A.P.,CIBER ISCIII | Candiota A.P.,Autonomous University of Barcelona | Majos C.,CIBER ISCIII | Majos C.,Institute Of Diagnostic Per La Imatge Idi | And 10 more authors.
JBR-BTR | Year: 2011

MRI and MRS are established methodologies for evaluating intracranial lesions. One MR spectral feature suggested for in vivo grading of astrocytic tumours is the apparent myo-Inositol (mI) intensity (ca 3.55ppm) at short echo times, although glycine (gly) may also contribute in vivo to this resonance. The purpose of this study was to quantitatively evaluate the mI + gly contribution to the recorded spectral pattern in vivo and correlate it with in vitro data obtained from perchloric acid extraction of tumour biopsies. Patient spectra (n = 95) at 1.5T at short (20-31 ms) and long (135-136 ms) echo times were obtained from the INTERPRET MRS database (http://gabrmn.uab.es/interpretvalidateddb/). Phantom spectra were acquired with a comparable protocol. Spectra were automatically processed and the ratios of the (mI + gly) to Cr peak heights ((mI + gly)/Cr) calculated. Perchloric acid extracts of brain tumour biopsies were analysed by high-resolution NMR at 9.4T. The ratio (mI + gly)/Cr decreased significantly with astrocytic grade in vivo between low-grade astrocytoma (A2) and glioblastoma multiforme (GBM). In vitro results displayed a somewhat different tendency, with anaplastic astrocytomas having significantly higher (mI + gly)/Cr than A2 and GBM. The discrepancy between in vivo and in vitro data suggests that the NMR visibility of glycine in glial brain tumours is restricted in vivo. Source


Julia-Sape M.,CIBER ISCIII | Julia-Sape M.,Autonomous University of Barcelona | Griffiths J.R.,Cancer Research UK Research Institute | Tate R.A.,University of Sussex | And 8 more authors.
NMR in Biomedicine | Year: 2015

The INTERPRET project was a multicentre European collaboration, carried out from 2000 to 2002, which developed a decision-support system (DSS) for helping neuroradiologists with no experience of MRS to utilize spectroscopic data for the diagnosis and grading of human brain tumours. INTERPRET gathered a large collection of MR spectra of brain tumours and pseudo-tumoural lesions from seven centres. Consensus acquisition protocols, a standard processing pipeline and strict methods for quality control of the aquired data were put in place. Particular emphasis was placed on ensuring the diagnostic certainty of each case, for which all cases were evaluated by a clinical data validation committee. One outcome of the project is a database of 304 fully validated spectra from brain tumours, pseudotumoural lesions and normal brains, along with their associated images and clinical data, which remains available to the scientific and medical community. The second is the INTERPRET DSS, which has continued to be developed and clinically evaluated since the project ended. We also review here the results of the post-INTERPRET period. We evaluate the results of the studies with the INTERPRET database by other consortia or research groups. A summary of the clinical evaluations that have been performed on the post-INTERPRET DSS versions is also presented. Several have shown that diagnostic certainty can be improved for certain tumour types when the INTERPRET DSS is used in conjunction with conventional radiological image interpretation. About 30 papers concerned with the INTERPRET single-voxel dataset have so far been published. We discuss stengths and weaknesses of the DSS and the lessons learned. Finally we speculate on how the INTERPRET concept might be carried into the future. © 2015 John Wiley & Sons, Ltd. Source


Dacosta-Aguayo R.,University of Barcelona | Dacosta-Aguayo R.,University of the Basque Country | Grana M.,University of the Basque Country | Savio A.,University of the Basque Country | And 15 more authors.
Human Brain Mapping | Year: 2014

Resting-state studies conducted with stroke patients are scarce. First objective was to explore whether patients with good cognitive recovery showed differences in resting-state functional patterns of brain activity when compared to patients with poor cognitive recovery. Second objective was to determine whether such patterns were correlated with cognitive performance. Third objective was to assess the existence of prognostic factors for cognitive recovery. Eighteen right-handed stroke patients and eighteen healthy controls were included in the study. Stroke patients were divided into two groups according to their cognitive improvement observed at three months after stroke. Probabilistic independent component analysis was used to identify resting-state brain activity patterns. The analysis identified six networks: frontal, fronto-temporal, default mode network, secondary visual, parietal, and basal ganglia. Stroke patients showed significant decrease in brain activity in parietal and basal ganglia networks and a widespread increase in brain activity in the remaining ones when compared with healthy controls. When analyzed separately, patients with poor cognitive recovery (n=10) showed the same pattern as the whole stroke patient group, while patients with good cognitive recovery (n=8) showed increased activity only in the default mode network and fronto-temporal network, and decreased activity in the basal ganglia. We observe negative correlations between basal ganglia network activity and performance in Semantic Fluency test and Part A of the Trail Making Test for patients with poor cognitive recovery. A reverse pattern was observed between frontal network activity and the abovementioned tests for the same group. © 2014 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc. Source

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