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Neurocognitive impact of different irradiation modalities for patients with grade I-II skull base meningioma: a prospective multi-arm cohort study (CANCER COG).
Radiat Oncol
January 2025
ISTCT UMR 6030-CNRS, Université de Caen-Normandie, Caen, France.
Background: Radiotherapy as a complement or an alternative to neurosurgery has a central role in the treatment of skull base grade I-II meningiomas. Radiotherapy techniques have improved considerably over the last two decades, becoming more effective and sparing more and more the healthy tissue surrounding the tumour. Currently, hypo-fractionated stereotactic radiotherapy (SRT) for small tumours and normo-fractionated intensity-modulated radiotherapy (IMRT) or proton-therapy (PT) for larger tumours are the most widely used techniques.
View Article and Find Full Text PDFPreterm Neonates Exhibit a "Catch-Up" Pattern in Motor Development During the Neonatal Period: A Diffusion Tensor Imaging Study.
Pediatr Neurol
January 2025
Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China; Shaanxi Engineering Research Center of Computational Imaging and Medical Intelligence, Xi'an, China. Electronic address:
Background: Preterm infants are at high risk for subsequent neurodevelopmental disability. Early developmental characterization of brain and neurobehavioral function is critical for identifying high-risk infants. This study aimed to elucidate the early evolution of sensorimotor function in preterm neonates by exploring postnatal age-related changes in the brain white matter (WM) and neurobehavioral abilities.
View Article and Find Full Text PDFRadiogenomic explainable AI with neural ordinary differential equation for identifying post-SRS brain metastasis radionecrosis.
Med Phys
January 2025
Deparment of Radiation Oncology, Duke University, Durham, North Carolina, USA.
Background: Stereotactic radiosurgery (SRS) is widely used for managing brain metastases (BMs), but an adverse effect, radionecrosis, complicates post-SRS management. Differentiating radionecrosis from tumor recurrence non-invasively remains a major clinical challenge, as conventional imaging techniques often necessitate surgical biopsy for accurate diagnosis. Machine learning and deep learning models have shown potential in distinguishing radionecrosis from tumor recurrence.
View Article and Find Full Text PDFUser-Centered Design of Neuroprosthetics: Advancements and Limitations.
CNS Neurol Disord Drug Targets
January 2025
Biosciences and Bioengineering PhD Program, American University of Sharjah, UAE.
Neurological conditions resulting from severe spinal cord injuries, brain injuries, and other traumatic incidents often lead to the loss of essential bodily functions, including sensory and motor capabilities. Traditional prosthetic devices, though standard, have limitations in delivering the required dexterity and functionality. The advent of neuroprosthetics marks a paradigm shift, aiming to bridge the gap between prosthetic devices and the human nervous system.
View Article and Find Full Text PDFExploring adult glioma through MRI: A review of publicly available datasets to guide efficient image analysis.
Neurooncol Adv
January 2025
Imaging AI Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg.
Background: Publicly available data are essential for the progress of medical image analysis, in particular for crafting machine learning models. Glioma is the most common group of primary brain tumors, and magnetic resonance imaging (MRI) is a widely used modality in their diagnosis and treatment. However, the availability and quality of public datasets for glioma MRI are not well known.
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