Object: The authors conducted a study to determine correlations between clinical syndromes and early magnetic resonance (MR) imaging-documented findings in children with spinal cord injury without radiographic abnormality (SCIWORA).
Methods: The authors retrospectively reviewed the records obtained in 20 patients who presented with SCIWORA to the Children's Hospital of Buffalo between 1992 and 1999. Initial neurological syndromes, subsequent hospital course and outcome, and early MR imaging findings obtained using conventional sequences on a 1.5-tesla unit were recorded. Neurological syndromes on presentation were complete (Frankel Grade A) in two patients (10%), severe partial (Frankel Grade C) in one patient (5%), and mild partial (Frankel Grade D) in 17 patients (85%). Partial neurological deficits resolved in 14 (78%) of 18 patients within 72 hours and lasted more than 72 hours in four patients (22%). Magnetic resonance imaging was performed in both patients presenting with complete injuries and in 17 of 18 patients presenting with partial neurological deficits. The studies were obtained within 24 hours in 17 patients (85%). Neuroimaging revealed spinal cord swelling at the cervical level in one of the children with complete injury and cord edema with associated hemorrhage at cervical and thoracic levels in the other. Neural and extraneural elements were shown to be normal in all 17 patients with partial injuries who underwent MR imaging, including in the four patients with partial motor deficits lasting more than 72 hours.
Conclusions: In this series, the predominant neurological presentation of SCIWORA was a mild, partial syndrome that resolved within 72 hours. Magnetic resonance imaging revealed abnormal features only in those patients with complete neurological deficits. These findings suggest that in the acute setting conventional MR imaging sequences may lack the sensitivity to demonstrate neural and extraneural abnormalities associated with partial or temporary neurological deficits of SCIWORA, even when those deficits persist beyond 72 hours.
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http://dx.doi.org/10.3171/spi.2002.97.1.0033 | DOI Listing |
Sci Rep
December 2024
Department of Diagnostic Radiology, Dalhousie University, Halifax, Canada.
The goal of this study was to determine how radiologists' rating of image quality when using 0.5T Magnetic Resonance Imaging (MRI) compares to Computed Tomography (CT) for visualization of pathology and evaluation of specific anatomic regions within the paranasal sinuses. 42 patients with clinical CT scans opted to have a 0.
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December 2024
Department of Internal Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Haeundae-ro 875, Haeundae-gu, Busan, 48108, Republic of Korea.
This study aimed to investigate alterations in a multilayer network combining structural and functional layers in patients with end-stage kidney disease (ESKD) compared with healthy controls. In all, 38 ESKD patients and 43 healthy participants were prospectively enrolled. They exhibited normal brain magnetic resonance imaging (MRI) without any structural lesions.
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December 2024
Department of Medical Device Development, Seoul National University College of Medicine, Seoul, Republic of Korea.
Vertebral collapse (VC) following osteoporotic vertebral compression fracture (OVCF) often requires aggressive treatment, necessitating an accurate prediction for early intervention. This study aimed to develop a predictive model leveraging deep neural networks to predict VC progression after OVCF using magnetic resonance imaging (MRI) and clinical data. Among 245 enrolled patients with acute OVCF, data from 200 patients were used for the development dataset, and data from 45 patients were used for the test dataset.
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December 2024
Institute of Informatics, HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland, Sierre, Switzerland.
Manual segmentation of lesions, required for radiotherapy planning and follow-up, is time-consuming and error-prone. Automatic detection and segmentation can assist radiologists in these tasks. This work explores the automated detection and segmentation of brain metastases (BMs) in longitudinal MRIs.
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December 2024
BAOBAB Unit, NeuroSpin center, CEA, Université Paris-Saclay, Gif-sur-Yvette, France.
Decoding states of consciousness from brain activity is a central challenge in neuroscience. Dynamic functional connectivity (dFC) allows the study of short-term temporal changes in functional connectivity (FC) between distributed brain areas. By clustering dFC matrices from resting-state fMRI, we previously described "brain patterns" that underlie different functional configurations of the brain at rest.
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