Publications by authors named "Mohamadreza Hajiabadi"

Introduction: Chronic Idiopathic Spinal Cord Herniation (ISCH) is a very rare spinal cord deformation occurring predominantly in thoracic levels. ISCH lead to progressive myelopathy, spastic paraparesis and Brown Séquard syndrome.

Research Question: We want to hypothesize that a) the herniated segment can regain its function after untethering despite long-term and complete neurologic dysfunction.

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This paper aims to introduce a patient with Chiari type 1 malformation presented with upper extremity pain and diabetes insipidus. After laboratory examinations, we confirmed our case's central diabetes insipidus diagnosis. The patient has undergone posterior fossa decompression, tonsilopexy, and duraplasty.

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Article Synopsis
  • - The study focuses on improving brain tumor segmentation in MRI images by combining deep learning techniques with wavelet transforms, which help enhance segmentation performance.
  • - Different wavelet functions were tested, with Daubechies1 demonstrating the best results in improving the convolutional neural network's ability to segment MRI images while maintaining a balance between performance and computational demands.
  • - The conclusion emphasizes that selecting the appropriate wavelet function is crucial, as it should align with the specific needs of the segmentation task while considering computational efficiency and processing time.
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Here, we report a very rare case of mixed spinal tumor comprising of malignant glioblastoma and schwannoma, who was initially treated with tumor resection and adjuvant chemoradiation, but relapsed three years later with grade 3 ependymoma.

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Purpose: Manual brain tumor segmentation is a challenging task that requires the use of machine learning techniques. One of the machine learning techniques that has been given much attention is the convolutional neural network (CNN). The performance of the CNN can be enhanced by combining other data analysis tools such as wavelet transform.

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OBJECT Visual impairments are the most common objective manifestations of suprasellar lesions. Diffusion tensor imaging (DTI) is a noninvasive MRI modality that depicts the subcortical white matter tracts in vivo. In this study the authors tested the value of visual pathway tractography in comparison with visual field and visual acuity analyses.

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Background: The pterygopalatine fossa (PPF) and inferomedial orbital apex are difficult regions for open neurosurgical access. The traditional extensive anterior approach (transfacial or transmandibular) and lateral/posterolateral (transcranial) approach were used to access the PPF. The combined endonasal and sublabial transmaxillary approach is a less invasive access route for these lesions.

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Background: Coexisting complex visual field defects and serious ophthalmologic comorbidities make the management of the pituitary macroadenomas more challenging. Diffusion tensor imaging (DTI) magnetic resonance imaging that tracks neural fibers in the white matter has been used recently to visualize the impact of different pathologies on cranial nerves. This study explains application of anterior optic pathway tractography for patients with ophthalmologic comorbidities and pituitary adenoma.

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