Publications by authors named "Avraham Zlochower"

Article Synopsis
  • - The study explores the use of temporoparietal fascial flaps (TPFFs) and vascularized peri cranial flaps (PCFs) as a novel treatment to improve the delivery of therapies for glioblastoma (GBM) by bypassing the constraints of the blood-brain barrier (BBB).
  • - A Phase I clinical trial involving 12 patients who underwent GBM surgery assessed the safety of this approach, monitoring adverse events and evaluating overall survival and progression-free disease rates.
  • - Researchers aimed for at least a 70% progression-free survival rate at 6 months to justify the need for further Phase II studies on this promising technique.
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Introduction: Spinal myxopapillary ependymomas (SME) are rare WHO grade II neoplasms of the spinal cord. Despite their good prognosis, they have a high propensity for metastasis and recurrence, although the presentation of SME as multifocal is uncommon.

Case Presentation: Here we describe a rare case of a 34-year-old man who presented with painful bilateral radiculopathy with sexual dysfunction and altered sensation with defecation.

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Calcifying pseudoneoplasm of the neuraxis are rare fibro-osseous lesions that can occur throughout the central nervous system. This paper reports one case of this lesion within the posterior fossa and contains a literature review of all cases documented within the posterior fossa to date. A 53-year-old female patient with a history of epiphora, facial irritation, and headaches was found to have a mass centered in the posterior fossa.

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Sarcomatous change in ependymal tumors is rare and has been poorly described. We report on a cerebellopontine angle lesion that demonstrated rapid progression two years after radiosurgery in a 73-year-old female patient. Histopathological diagnosis at clinical progression showed an ependymoma with sarcomatous change ("ependymosarcoma") that was believed to be due to radiation.

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Introduction: Brain abscesses can lead to a diverse array of complications, especially when they are polymicrobial in nature. Multiple underlying pathogens may present with a unique set of clinical symptoms which require an early identification and treatment. Skull base osteomyelitis with sellar floor erosion and pituitary involvement with SIADH are such rare complications of brain abscesses which have never been reported previously in the literature.

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Purpose: Pre-clinical evidence suggests bevacizumab (BV) depletes the GBM peri-vascular cancer-stem cell niche. This phase I/II study assesses the safety and efficacy of repeated doses of superselective intra-arterial cerebral infusion (SIACI) of BV after blood-brain barrier disruption (BBBD).

Methods: Date of surgery was day 0.

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Sinonasal tumors are relatively rare and radiographically challenging to evaluate due to their wide variety of pathologies and imaging features. However, sinonasal tumors possessing somatostatin receptor overexpression have the benefit of utilizing a multimodality anatomic and functional imaging for a more comprehensive evaluation. This is particularly evident with esthesioneuroblastoma, with computed tomography and magnetic resonance imaging defining the anatomic extent of the tumor, whereas somatostatin receptor imaging, particularly with gallium-68 DOTATATE positron emission tomography/computed tomography, is used to assess the presence of metastatic disease for staging purposes as well as in the surveillance for tumor recurrence.

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infections typically present in immunocompromised hosts. Brain abscesses caused by species such as and are well-documented in the literature. We present a rare case of an immunocompetent patient with multiple brain abscesses due to requiring a decompressive fronto-temporoparietal craniectomy due to symptomatic intracranial hypertension.

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Deep learning represents end-to-end machine learning in which feature selection from images and classification happen concurrently. This articles provides updates on how deep learning is being applied to the study of glioma and its genetic heterogeneity. Deep learning algorithms can detect patterns in routine and advanced MR imaging that elude the eyes of neuroradiologists and make predictions about glioma genetics, which impact diagnosis, treatment response, patient management, and long-term survival.

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This manuscript will review emerging applications of artificial intelligence, specifically deep learning, and its application to glioblastoma multiforme (GBM), the most common primary malignant brain tumor. Current deep learning approaches, commonly convolutional neural networks (CNNs), that take input data from MR images to grade gliomas (high grade from low grade) and predict overall survival will be shown. There will be more in-depth review of recent articles that have applied different CNNs to predict the genetics of glioma on pre-operative MR images, specifically 1p19q codeletion, MGMT promoter, and IDH mutations, which are important criteria for the diagnosis, treatment management, and prognostication of patients with GBM.

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