Deep-brain stimulation in treatment-resistant obsessive-compulsive disorder: Clinical and molecular neuroimaging correlation / Estimulación cerebral profunda en el trastorno obsesivo compulsivo resistente a tratamiento: correlato clínico y de neuroimagen molecular

ABSTRACT Introduction: Obsessive-compulsive disorder is defined by the presence of obsessions and compulsions that cause marked anxiety or distress and has been associated with a disruption in corticostriato-thalamo-cortical circuitry. After treatment, around 50% of patients continue to experience incapacitating symptoms. Deep-brain stimulation has been shown to be an effective therapeutic alternative to regular treatment. Methods: Case report. Case presentation: A 54-year-old woman with a diagnosis of treatment-resistant obsessive-compulsive disorder was treated with deep-brain stimulation of the anterior limb of the internal capsule. Molecular imaging before and after the procedure was obtained and correlated with clinical features. Conclusions: Deep-brain stimulation may be a therapeutic alternative to regular care in treatment-resistant obsessive-compulsive disorder and can be correlated to functional changes in suspected anatomical structures.

RESUMEN Introducción: El trastorno obsesivo-compulsivo se define por la presencia de obsesiones y compulsiones que ocasionan ansiedad y malestar marcados, y se ha asociado con una alteración en los circuitos cortico-estriado-tálamo-corticales. Tras tratamiento, alrededor de la mitad de los pacientes permanecen con síntomas discapacitantes. La estimulación cerebral profunda ha mostrado ser una alternativa efectiva al tratamiento usual. Métodos: Reporte de caso. Presentación del caso: Una mujer de 54 años con diagnóstico de trastorno obsesivo-compulsivo resistente a tratamiento fue tratada con estimulación cerebral profunda del brazo anterior de la cápsula interna. Se obtuvieron imágenes moleculares antes y después de la intervención y fueron correlacionadas con el cuadro clínico. Conclusiones: La estimulación magnética profunda puede ser una alternativa terapéutica al tratamiento usual en el trastorno obsesivo compulsivo resistente a tratamiento, y puede correlacionarse con cambios funcionales en estructuras anatómicas de sospecha.

Deep-brain stimulation in treatment-resistant obsessive-compulsive disorder: Clinical and molecular neuroimaging correlation.

INTRODUCTION: Obsessive-compulsive disorder is defined by the presence of obsessions and compulsions that cause marked anxiety or distress and has been associated with a disruption in cortico-striato-thalamo-cortical circuitry. After treatment, around 50% of patients continue to experience incapacitating symptoms. Deep-brain stimulation has been shown to be an effective therapeutic alternative to regular treatment. METHODS: Case report. CASE PRESENTATION: A 54-year-old woman with a diagnosis of treatment-resistant obsessive-compulsive disorder was treated with deep-brain stimulation of the anterior limb of the internal capsule. Molecular imaging before and after the procedure was obtained and correlated with clinical features. CONCLUSIONS: Deep-brain stimulation may be a therapeutic alternative to regular care in treatment-resistant obsessive-compulsive disorder and can be correlated to functional changes in suspected anatomical structures.

Local Complexity Estimation Based Filtering Method in Wavelet Domain for Magnetic Resonance Imaging Denoising.

In this paper, we propose the local complexity estimation based filtering method in wavelet domain for MRI (magnetic resonance imaging) denoising. A threshold selection methodology is proposed in which the edge and detail preservation properties for each pixel are determined by the local complexity of the input image. In the proposed filtering method, the current wavelet kernel is compared with a threshold to identify the signal- or noise-dominant pixels in a scale providing a good visual quality avoiding blurred and over smoothened processed images. We present a comparative performance analysis with different wavelets to find the optimal wavelet for MRI denoising. Numerical experiments and visual results in simulated MR images degraded with Rician noise demonstrate that the proposed algorithm consistently outperforms other denoising methods by balancing the tradeoff between noise suppression and fine detail preservation. The proposed algorithm can enhance the contrast between regions allowing the delineation of the regions of interest between different textures or tissues in the processed images. The proposed approach produces a satisfactory result in the case of real MRI denoising by balancing the detail preservation and noise removal, by enhancing the contrast between the regions of the image. Additionally, the proposed algorithm is compared with other approaches in the case of Additive White Gaussian Noise (AWGN) using standard images to demonstrate that the proposed approach does not need to be adapted specifically to Rician or AWGN noise; it is an advantage of the proposed approach in comparison with other methods. Finally, the proposed scheme is simple, efficient and feasible for MRI denoising.

Neuromorphometry of primary brain tumors by magnetic resonance imaging.

Magnetic resonance imaging is a technique for the diagnosis and classification of brain tumors. Discrete compactness is a morphological feature of two-dimensional and three-dimensional objects. This measure determines the compactness of a discretized object depending on the sum of the areas of the connected voxels and has been used for understanding the morphology of nonbrain tumors. We hypothesized that regarding brain tumors, we may improve the malignancy grade classification. We analyzed the values in 20 patients with different subtypes of primary brain tumors: astrocytoma, oligodendroglioma, and glioblastoma multiforme subdivided into the contrast-enhanced and the necrotic tumor regions. The preliminary results show an inverse relationship between the compactness value and the malignancy grade of gliomas. Astrocytomas exhibit a mean of [Formula: see text], whereas oligodendrogliomas exhibit a mean of [Formula: see text]. In contrast, the contrast-enhanced region of the glioblastoma presented a mean of [Formula: see text], and the necrotic region presented a mean of [Formula: see text]. However, the volume and area of the enclosing surface did not show a relationship with the malignancy grade of the gliomas. Discrete compactness appears to be a stable characteristic between primary brain tumors of different malignancy grades, because similar values were obtained from different patients with the same type of tumor.

[First Mexican consensus on recommendations of the multidisciplinary care of patients with glioblastoma multiforme (GBM): Mexican Interdisciplinary Group on Neuro-Oncology Research (GIMINO)]. / Primer consenso mexicano sobre recomendaciones de la atención multidisciplinaria del paciente con glioblastoma multiforme (GBM). Grupo Interdisciplinar Mexicano de Investigación en Neurooncología (GIMINO).

Glioblastoma multiforme is one of the most aggressive central nervous system tumors and with worse prognosis. Until now,treatments have managed to significantly increase the survival of these patients, depending on age, cognitive status, and autonomy of the individuals themselves. Based on these parameters, both initial or recurrence treatments are performed, as well as monitoring of disease by imaging studies. When the patient enters the terminal phase and curative treatments are suspended, respect for the previous wishes of the patient and development and implementation of palliative therapies must be guaranteed.