Osatek

Bilbao, Spain
Bilbao, Spain
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Millan-Ortuondo E.,Subdireccion de Asistencia Sanitaria | Cabrera-Zubizarreta A.,Osatek | Muniz-Saitua J.,Subdireccion de Asistencia Sanitaria | Sola-Sarabia C.,Subdireccion de Asistencia Sanitaria
Revista de Neurologia | Year: 2013

Introduction. The number of requests for magnetic resonance imaging (MRI) scans in healthcare systems is continually on the rise. An MRI scan of the head is one of the most frequent locations, which if used inappropriately entails a loss of resources. Consequently, guidelines are needed to help the physician make decisions and allow better management of resources. Aim. To establish the key indications of MRI scans in cases of adults with headache. Materials and methods. The RAND/UCLA appropriateness method was used, that is, following a systematic review, a list of possible indications of MRI in cases of headache was drawn up. This list was then assessed by a panel of experts and given a score between 1 ('totally inappropriate') and 9 ('totally appropriate'). An initial round of scoring was carried out online, the results were then discussed at a face-to-face meeting of the experts and finally another online round was undertaken. MRI was considered appropriate in each indication if the mean score was 6.5 or higher and there was agreement among the experts (using the IPRAS index). Results. MRI scanning was considered appropriate in cases of: new headache, new headache in immunodeficient patients, sudden intense headache, headache with focal neurological symptoms, postural headache, headache due to physical effort or Valsalva manoeuvres, suspected thrombosis in the venous sinuses, systemic involvement, progressive headache, headache in pregnancy, autonomic trigeminal headache or severe cranial traumatic injury with focus. Conclusions. It seems that indication can be summed up in headaches with a suspected secondary pathology. The methodology employed makes it possible to establish MRI indications that can be useful both in clinical practice and for healthcare management practitioners. © 2013 Revista de Neurología.


Hijona E.,University of the Basque Country | Sanchez-Gonzalez J.,Philips | Alustiza J.M.,Osatek | Hijona L.,Hospital Basurto | And 7 more authors.
European Journal of Radiology | Year: 2012

Aim: To assess the diagnostic accuracy of a new reconstruction technique for gradient-recalled-echo magnetic resonance (MR) sequences that provides a full decomposition of the water and fat content inside a voxel for nonalcoholic fatty liver disease (NAFLD) in rats. Material and methods: Rats were randomized into two groups. A control group (n = 10) was given free access to regular dry rat chow for 4 weeks. The steatosis (n = 40) group was given free access to feed and water 4 days per week, and fasted for the remaining 3 days for 4 weeks. All rats were killed at 4 weeks and assessed for fatty infiltration and biochemical method. Results: The average fat content using the gold standard method was 2.65 g (2.20-3.05) of fat/100 g liver for the control group and 4.14 g (1.95-8.60) of fat/100 g of liver for the overfed group (p < 0.05). The average fat-fraction obtained from the MR was 0.016 (0.01-0.02) for the control group and 0.057 (0.00-0.18) for the overfed group. The Pearson correlation coefficient between the samples was r 2 = 0.87. Conclusion: Multi-echo MR is a good technique to quantify liver fat in rats. © 2011 Elsevier Ireland Ltd. All rights reserved.


PubMed | Osatek, IK4 Tekniker, Research Center en Cronicidad Kronikgune, University of the Basque Country and Subdireccion de Informatica
Type: Journal Article | Journal: BMC psychiatry | Year: 2016

Bipolar disorder patients frequently present recurrent episodes and often experience subsyndromal symptoms, cognitive impairment and difficulties in functioning, with a low quality of life, illness relapses and recurrent hospitalization. Early diagnosis and appropriate intervention may play a role in preventing neuroprogression in this disorder. New technologies represent an opportunity to develop standardized psychological treatments using internet-based tools that overcome some of the limitations of face-to-face treatments, in that they are readily accessible and the timing of therapy can be tailored to user needs and availability. However, although many psychological programs are offered through the web and mobile devices for bipolar disorder, there is a lack of high quality evidence concerning their efficacy and effectiveness due to the great variability in measures and methodology used.This clinical trial is a simple-blind randomized trial within a European project to compare an internet-based intervention with treatment as usual. Bipolar disorder patients are to be included and randomly assigned to one of two groups: 1) the experimental group (tele-care support) and 2) the control group. Participants in both groups will be evaluated at baseline (pre-treatment) and post-treatment.This study describes the design of a clinical trial based on psychoeducation intervention that may have a significant impact on both prognosis and treatment in bipolar disorder. Specifically, bringing different services together (service aggregation), it is hoped that the approach proposed will significantly increase the impact of information and communication technologies on access and adherence to treatment, quality of the service, patient safety, patient and professional satisfaction, and quality of life of patients.NCT02924415 . Retrospectively registered 27 September 2016.


Garcia-Zapirain B.,University of Deusto | Garcia-Chimeno Y.,University of Deusto | Saralegui I.,Galdakao Hospital | Fernandez-Ruanova B.,Osatek | Martinez R.,University Hospital of Cruces
Biomedical Signal Processing and Control | Year: 2016

Non-invasive quantitative MRI methods, such as Diffusion Tensor Imaging (DTI) can offer insights into diverse developmental brain disorders such as dyslexia, the most prevalent reading disorder in childhood. In this article, we quantified the microstructural attributes of the main fascicles of both hemispheres related to the reading network in three groups of Spanish children: typically developing readers (TDR or controls), dyslexic readers (DXR) and readers with monocular vision due to ocular motility disorders (MVR), to assess whether the dyslexic children neuronal network for reading shares similarities with the neuronal network for reading in children with impaired binocular vision due to ocular motility disorders or not. Diffusion anisotropy, and mean, radial and axial diffusivity of cross-sectional subregions of the main fascicles studied were computed using a validated DTI methodology. Our results reveal differences in fractional anisotropy (FA) values between the DXR and the non-dyslexic readers, with a decreased FA for the DXR and no significant differences between TDR and MVR groups in the left Arcuate fasciculus, and a tendency to higher FA values in the DXR group compared to the other two groups in the genu of the Corpus Callosum (CC). In the splenium of the CC a trend towards higher FA values was observed in the DXR and MVR groups versus the TDR. This study reveals a different brain connectivity pattern for reading in Spanish children with dyslexia from those with impaired binocular vision due to ocular motility disorders, which would support the hypothesis that ocular motility disorders are not a causal factor of dyslexia. © 2015 Elsevier Ltd.


Jorge-Hernandez F.,University of Deusto | Chimeno Y.G.,University of Deusto | Garcia-Zapirain B.,University of Deusto | Zubizarreta A.C.,Osatek | And 2 more authors.
Bio-Medical Materials and Engineering | Year: 2014

Graph theory is also widely used as a representational form and characterization of brain connectivity network, as is machine learning for classifying groups depending on the features extracted from images. Many of these studies use different techniques, such as preprocessing, correlations, features or algorithms. This paper proposes an automatic tool to perform a standard process using images of the Magnetic Resonance Imaging (MRI) machine. The process includes pre-processing, building the graph per subject with different correlations, atlas, relevant feature extraction according to the literature, and finally providing a set of machine learning algorithms which can produce analyzable results for physicians or specialists. In order to verify the process, a set of images from prescription drug abusers and patients with migraine have been used. In this way, the proper functioning of the tool has been proved, providing results of 87% and 92% of success depending on the classifier used. © 2014 - IOS Press and the authors.


Chimeno Y.G.,University of Deusto | Zapirain B.G.,University of Deusto | Prieto I.S.,Osatek | Fernandez-Ruanova B.,Osatek
Bio-Medical Materials and Engineering | Year: 2014

Functional Magnetic Resonance Imaging (fMRI) and Diffusion Tensor Imaging (DTI) are a source of information to study different pathologies. This tool allows to classify subjects under study, analysing in this case, the functions related to language in young patients with dyslexia. Images are obtained using a scanner and different tests are performed on subjects. After processing the images, the areas that are activated by patients when performing the paradigms or anatomy of the tracts were obtained. The main objective is to ultimately introduce a group of monocular vision subjects, whose brain activation model is unknown. This classification helps to assess whether these subjects are more akin to dyslexic or control subjects. Machine learning techniques study systems that learn how to perform non-linear classifications through supervised or unsupervised training, or a combination of both. Once the machine has been set up, it is validated with the subjects who have not been entered in the training stage. The results are obtained using a user-friendly chart. Finally, a new tool for the classification of subjects with dyslexia and monocular vision was obtained (achieving a success rate of 94.8718% on the Neuronal Network classifier), which can be extended to other further classifications. © 2014 - IOS Press and the authors.

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