Publications by authors named "Erickson Torio"

Purpose: NousNav is a low-cost, open-source neuronavigation platform built to address the high costs and resource limitations that hinder access to advanced neurosurgical technologies in low-resource settings. The low-cost and accessibility of the system is made possible using consumer-grade optical tracking and open-source software packages. This study aims to assess the performance of these core enabling technologies by quantifying their spatial accuracy and comparing it to a commercial gold standard.

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Objective: The objective of this study is to develop a preliminary model for prediction of chronic subdural hematoma (CSDH) recurrence for adult Filipinos who underwent CSDH surgery.

Methods: This study addresses a retrospective cohort of 71 adult patients who underwent CSDH surgery at a tertiary medical center in the Philippines. The outcome of interest was recurrence of CSDH detected on post-operative scans after discharge.

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Background: Spinal aneurysmal bone cysts (ABCs) are challenging to manage due to high vascularity and proximity to critical structures. Two patients with large, symptomatic thoracic ABCs are presented.

Observations: Preoperative tumor embolization via pedicle artery sacrifice was performed prior to planned resection to reduce intraoperative blood loss and the risk of postoperative neurological deficits.

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Article Synopsis
  • The retinogeniculate visual pathway (RGVP) transmits visual data from the retina to the brain, making its identification crucial for understanding vision-related conditions.
  • DeepRGVP, a new deep learning framework, allows efficient and precise mapping of the RGVP from diffusion MRI data, overcoming the challenges of manual tract selection.
  • Experiments demonstrate DeepRGVP's superior accuracy in identifying the RGVP compared to existing methods, even in patients with lesions, highlighting the promise of deep learning in improving visual pathway analysis.
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Although Digital Subtraction Angiography (DSA) is the most important imaging for visualizing cerebrovascular anatomy, its interpretation by clinicians remains difficult. This is particularly true when treating arteriovenous malformations (AVMs), where entangled vasculature connecting arteries and veins needs to be carefully identified. The presented method aims to enhance DSA image series by highlighting critical information via automatic classification of vessels using a combination of two learning models: An unsupervised machine learning method based on Independent Component Analysis that decomposes the phases of flow and a convolutional neural network that automatically delineates the vessels in image space.

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  • The standard treatment for brain tumors involves surgically removing as much of the tumor as possible, but challenges like brain shift make this difficult.
  • Intraoperative imaging techniques like iMRI and iUS can assist in visualizing brain tumors during surgery, with iUS being quicker but less detailed than iMRI.
  • A newly released extensive database of MRI and iUS images from surgical cases aims to improve brain tumor research, enhance neurosurgical training, and facilitate AI advancements in medical imaging.
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We introduce MHVAE, a deep hierarchical variational autoencoder (VAE) that synthesizes missing images from various modalities. Extending multi-modal VAEs with a hierarchical latent structure, we introduce a probabilistic formulation for fusing multi-modal images in a common latent representation while having the flexibility to handle incomplete image sets as input. Moreover, adversarial learning is employed to generate sharper images.

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Moyamoya disease (MMD) is characterized by idiopathic, progressive stenosis of the circle of Willis and the terminal portion of the internal carotid arteries with the development of prominent small collateral vessels and a characteristic moyamoya or puff-of-smoke radiographic appearance. The incidence and prevalence of MMD varies by region, age, and sex, with higher rates in Asian and East Asian populations compared to North American or European populations. There is a bimodal distribution of patients diagnosed with MMD.

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Article Synopsis
  • We introduced a new technique for aligning intraoperative images with patient-specific views using preoperative imaging and expected appearances.
  • Our method improves camera pose estimation by comparing intraoperative images with synthesized expected views, effectively addressing issues related to low-quality images during surgery.
  • Testing on both synthetic and clinical data showed that our approach surpassed existing methods, achieving accuracies that fulfill clinical requirements in brain surgery.
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Article Synopsis
  • The retinogeniculate visual pathway (RGVP) transmits visual information from the retina to the brain, and understanding its anatomy is crucial for studying visual system diseases.
  • Diffusion MRI (dMRI) tractography is a technique for mapping the RGVP, but current methods for identifying it are slow and subjective, relying on manual expert input.
  • This paper introduces a deep learning framework called DeepRGVP, which uses advanced techniques to quickly and accurately identify the RGVP from dMRI data while maintaining effectiveness even in cases of brain lesions, demonstrating the promise of AI in medical imaging.
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We treated a 20-year-old woman in Paraguay with a ruptured intraventricular Spetzler-Martin Grade 3 AVM, and illustrate microsurgical resection without embolization in this video.

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A 48-year-old male with progressive congestive myelopathy had a craniocvervical DAVF treated with surgical clipping using ICG to confirm solitary inflow.

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Immunotherapy failures can result from the highly suppressive tumour microenvironment that characterizes aggressive forms of cancer such as recurrent glioblastoma (rGBM). Here we report the results of a first-in-human phase I trial in 41 patients with rGBM who were injected with CAN-3110-an oncolytic herpes virus (oHSV). In contrast to other clinical oHSVs, CAN-3110 retains the viral neurovirulence ICP34.

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Article Synopsis
  • The corticospinal tract (CST) is essential for voluntary body movement control and is organized by body part representation.
  • This study evaluates six tractography methods, including probabilistic and deterministic approaches, to analyze the CST's structure and organization using diffusion MRI data from 100 subjects.
  • The unscented Kalman filter approach (UKF2T) shows the best performance in reconstructing the CST and is notably linked to the volume of motor cortex areas for different body parts, highlighting the importance of advanced imaging techniques in understanding brain function.
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The standard of care for brain tumors is maximal safe surgical resection. Neuronavigation augments the surgeon's ability to achieve this but loses validity as surgery progresses due to brain shift. Moreover, gliomas are often indistinguishable from surrounding healthy brain tissue.

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Cerebral proliferative angiopathy (CPA) is an entity distinct from that of classical arteriovenous malformations. As such, few reports have considered the long-term follow-up of patients with hemorrhage in CPA. Accordingly, herein the authors present a case of recurrent hemorrhage in CPA with 32 years of follow-up and in so doing summarize the literature of hemorrhagic cases in CPA.

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This work presents a novel tool-free neuronavigation method that can be used with a single RGB commodity camera. Compared with freehand craniotomy placement methods, the proposed system is more intuitive and less error prone. The proposed method also has several advantages over standard neuronavigation platforms.

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Article Synopsis
  • Diffusion magnetic resonance imaging white matter tractography helps plan brain surgeries by aiming to excise tumors while preserving brain function, but faces challenges due to limitations in standard imaging techniques.
  • Track density imaging (TDI) offers enhanced visualization of brain connections over traditional diffusion tensor imaging (DTI), potentially improving surgical planning.
  • This study compared TDI-based maps to DTI-based maps using patient data, with five neurosurgeons evaluating their utility in pre-surgical planning.
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  • Surgical resection remains the main approach for treating brain tumors, but traditional navigation methods struggle with brain movement during surgery.
  • A new system improves surgical guidance by using the positions of instruments to create an accurate map of tumor removal in real-time, evaluated through 80 surgeries.
  • While the system estimates residual tumors well under ideal conditions, it still provides valuable insights even when brain shift occurs, helping surgeons detect areas that may need further attention.
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Background: Herpes simplex virus (HSV) is a common cause of viral encephalitis and can result in refractory seizures. Although HSV encephalitis (HSVE) is treated primarily with acyclovir, surgery can play a role in medically intractable cases.

Objective: To systematically review cases describing surgery for the treatment of severe HSVE.

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Article Synopsis
  • The study reviews global cancer surgery literature since a key report in 2015, focusing on articles from low-resource countries.
  • It performs a SWOT analysis identifying themes such as local research, resource limitations, and the impact of COVID-19 on surgical care.
  • The findings aim to offer strategies to improve cancer surgery in underserved areas while addressing significant challenges and opportunities in the field.
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  • - The case study presents a 74-year-old man with severe essential tremor and diffuse skull thickening (hyperostosis), who did not improve after undergoing magnetic resonance-guided focused ultrasound (MRgFUS) treatment.
  • - Pre-treatment imaging indicated a low skull density ratio (SDR) and the presence of tricortical hyperostosis, yet post-treatment MRI showed no changes or lesions.
  • - A literature review revealed that out of three similar cases of patients with hyperostosis, all also failed MRgFUS treatment, suggesting that tricortical hyperostosis may be a contraindication for this therapeutic approach.
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Objectives: Moyamoya disease is an idiopathic cerebrovascular disorder in which patients experience recurrent transient ischemic attacks, ischemic or hemorrhagic strokes, headaches, and seizures from progressive stenosis of the vessels of the anterior circulation. The mainstay of treatment in symptomatic patients is surgical revascularization. Here, we present the case of a moyamoya patient in which a failed encephaloduroarteriosynangiosis, after new strokes, is recycled and converted into a combined "double barrel" direct superficial temporal artery to middle cerebral artery bypass with included video.

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