Publications by authors named "R Sarabia"

Article Synopsis
  • - The research aimed to create a deep learning model for accurately assessing the extent of resection (EOR) in glioblastoma patients using postoperative MRI scans, addressing limitations of existing algorithms that only focus on preoperative images.
  • - Utilizing data from multiple sources, the model was trained to segment tumor features like contrast-enhancing tumor, edema, and surgical cavity, and was compared with other segmentation models, showing high performance in classifying resection categories.
  • - The study found that the nnU-Net framework outperformed other algorithms, achieving high accuracy in both segmentation (with median Dice scores up to 0.81) and EOR classification (96% accuracy in comparisons), making it a valuable tool for clinical use.
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Background: Accurate volumetric assessment of spontaneous aneurysmal subarachnoid hemorrhage (aSAH) is a labor-intensive task performed with current manual and semiautomatic methods that might be relevant for its clinical and prognostic implications. In the present research, we sought to develop and validate an artificial intelligence-driven, fully automated blood segmentation tool for subarachnoid hemorrhage (SAH) patients via noncontrast computed tomography (NCCT) scans employing a transformer-based Swin-UNETR architecture.

Methods: We retrospectively analyzed NCCT scans from patients with confirmed aSAH utilizing the Swin-UNETR for segmentation.

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Article Synopsis
  • YPAR is a research method that involves young people to make sure their voices are heard, especially those dealing with homelessness.
  • The research project used young people as researchers to give feedback on how to improve their access to important resources like food and safety.
  • The study highlighted the importance of paying youth, keeping them safe, and being flexible and supportive in how adult supervisors work with them.
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Objetive: In Europe, units with Dual-trained Neurovascular Surgeons (DTNS) skilled in both open neurosurgery (ON) and endovascular neurosurgery (EN) are scarce. For instance, in Spain, our unit is unique within the public health system, where all neurovascular procedures are carried out by DTNS. Our study aims to evaluate the evolution in treating ruptured intracranial aneurysms (rICAs) and assess the impact of this evolution on clinical outcomes.

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Purpose: In an era characterized by rapid progression in neurosurgical technologies, traditional tools such as the non-navigated two-dimensional intraoperative ultrasound (nn-2D-IOUS) risk being overshadowed. Against this backdrop, this study endeavors to provide a comprehensive assessment of the clinical efficacy and surgical relevance of nn-2D-IOUS, specifically in the context of glioma resections.

Methods: This retrospective study undertaken at a single center evaluated 99 consecutive, non-selected patients diagnosed with both high-grade and low-grade gliomas.

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