Background: Computerized tomography (CT) is a common imaging modality for trauma patients, but there is debate regarding the role of magnetic resonance imaging (MRI) in cervical (C)-spine clearance. We aim to investigate the utilization of CT and MRI imaging in traumatic C-spine clearance and associated outcomes on patients who undergo both imaging modalities.
Methods: A 4-year retrospective review was performed to evaluate the trauma patient imaging algorithm at our institution. The algorithm required CT as a screening examination for traumatic injury patients who are unexaminable because of distracting injury, altered mental status, an abnormal neurological examination, and/or central neck pain. MRI was performed after CT in patients with C-spine injuries identified on CT, those who remained unexaminable, had an abnormal neurological examination, or experienced persistent central neck tenderness. Univariate analyses and adjusted multivariate logistic regression were performed with significance defined as p < 0.05.
Results: 805 patients were analyzed. Compared to MRI, CT had a sensitivity of 50.2%, specificity of 76.6%, positive predictive value of 69.7%, and negative predictive value of 59.0% in detecting C-spine injuries. CT and MRI differed significantly in their ability to detect C-spine soft tissue injuries and C1 vertebral fractures (p < 0.05).
Conclusions: MRI is more capable of detecting soft tissue injuries whereas CT is superior in detecting vertebral fractures. Our findings support the need to utilize CT and MRI in conjunction to detect both bony and soft tissue C-spine injuries in traumatically injured patients, who are either unexaminable, have an abnormal neurologic examination, or ongoing central neck tenderness.
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http://dx.doi.org/10.1016/j.amsu.2021.102566 | DOI Listing |
Radiol Bras
December 2024
Faculdade de Medicina de Botucatu, Universidade Estadual Paulista "Júlio de Mesquita Filho" (Unesp), Botucatu, SP, Brazil.
Objective: To assess the prevalence of changes on computed tomography (CT) in Graves' orbitopathy (GO) and to correlate those changes with disease activity, as well as with clinical and biochemical variables.
Materials And Methods: This was a retrospective study, conducted at a tertiary hospital, of clinical, biochemical, and imaging data from consecutive patients with GO who underwent at least one orbital CT scan between July 2012 and December 2020. A single observer quantified the thickness of the extraocular muscles and the degree of proptosis.
J Spine Surg
December 2024
Department of Neurosurgery, Geisinger Neuroscience Institute, Danville, PA, USA.
Anterior lumbar interbody fusion (ALIF) is an anterior surgical approach for interbody fusion in the lumbar spine which affords the surgeon unfettered access to the disc space and allows for release of the anterior longitudinal ligament and insertion of a large, lordotic interbody graft. Despite the benefits associated with ALIF when compared with other lumbar interbody fusion techniques, the ALIF approach is associated with a number of unique complications, and certain patient-specific criteria (e.g.
View Article and Find Full Text PDFJ Spine Surg
December 2024
Department of Neurosurgery, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA.
Atlantoaxial rotatory subluxation (AARS) in the adult population is primarily trauma-induced. Conservative and surgical treatments have both been used successfully in treating AARS. In cases where AARS cannot be reduced by conservative measures, open reduction and fusion is the conventional treatment approach.
View Article and Find Full Text PDFAnn Ital Chir
January 2025
Department of Thoracic Surgery, Mindong Hospital Affiliated to Fujian Medical University, 355000 Fu'an, Fujian China.
Aim: This study aimed to explore the efficacy of open reduction and internal fixation assisted by handheld ultrasound combined with three-dimensional (3D) printing technology in treating multiple rib fractures.
Methods: We retrospectively analyzed the clinical data from 84 patients affected with multiple rib fractures admitted to our hospital between August 2022 and April 2024. After excluding four cases, 80 cases were included in this study.
Ann Ital Chir
January 2025
Medical Department, Ningbo No.9 Hospital, 315020 Ningbo, Zhejiang, China.
Aim: This study aimed to develop a reliable and efficient system for predicting and locating rib fractures in medical images using an ensemble of convolutional neural networks (CNNs).
Methods: We employed five CNN architectures-Visual Geometry Group Network 16 (VGG16), Densely Connected Convolutional Network 169 (DenseNet169), Inception Version 4 (Inception V4), Efficient Network B7 (EfficientNet-B7), and Residual Network Next 50 layers (ResNeXt-50)-trained on a dataset of 840 grayscale computed tomography (CT) scan images in .jpg format collected from 42 patients at a local hospital.
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