Purpose: To determine the optimal slice thickness of brain non-contrast computed tomography using a hybrid iterative reconstruction algorithm to identify hyperdense middle cerebral artery sign in patients with acute ischemic stroke.
Methods: We retrospectively enrolled 30 patients who had presented hyperdense middle cerebral artery sign and 30 patients who showed no acute ischemic change in acute magnetic resonance imaging. Reformatted axial images at an angle of the orbitomeatal line in slice thicknesses of 0.5, 1, 3, 5, and 7 mm were generated. Optimal slice thickness for identifying hyperdense middle cerebral artery sign was evaluated by a receiver operating characteristics curve analysis and area under the curve (AUC).
Results: The mean AUC value of 0.5-mm slice (0.921; 95% confidence interval (95% CI), 0.868 to 0.975) was significantly higher than those of 3-mm (0.791; 95% CI, 0.686 to 0.895; p = 0.041), 5-mm (0.691; 95% CI, 0.583 to 0.799, p < 0.001), and 7-mm (0.695; 95% CI, 0.593 to 0.797, p < 0.001) slices, whereas it was equivalent to that of 1-mm slice (0.901; 95% CI, 0.837 to 0.965, p = 0.751).
Conclusion: Thin slice thickness of ≤ 1 mm has a better diagnostic performance for identifying hyperdense artery sign on brain non-contrast computed tomography with a hybrid iterative reconstruction algorithm in patients with acute ischemic stroke.
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http://dx.doi.org/10.1007/s10140-020-01864-4 | DOI Listing |
Clin Neuroradiol
December 2024
Interventional Neuroradiology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South 4th Ring West Road, 100070, Fengtai District, Beijing, China.
Background: The Hyperdense Middle Cerebral Artery Sign (HMCAS) is an early marker of acute MCA occlusion on non-contrast CT (NCCT), which has been linked with stroke type and thrombus composition.
Aims: To assess the prognostic value of HMCAS in M1 occlusion patients treated with endovascular thrombectomy and explore its predictive value across different patients.
Methods: Patients with M1 occlusion were selected from the ANGEL-ACT registry, which comprised 1793 individuals.
Neurosurg Focus
December 2024
Departments of1Neurosurgery.
Objective: Innovations in robotics continue to reshape the landscape of neurosurgery. Here, the authors evaluated the safety and efficacy of the ExcelsiusGPS robot in the treatment of neuro-oncological, intracranial lesions.
Methods: The authors conducted a retrospective analysis of 19 consecutive adult patients with a neuro-oncological diagnosis who underwent intracranial biopsy and/or laser interstitial thermal therapy (LITT) with the assistance of the ExcelsiusGPS robot and intraoperative CT.
Curr Med Imaging
November 2024
Department of Emergency, The Affiliated Hospital of Guizhou Medical University, Guiyang 550004, Guizhou Province, PR China.
Background: The EXCELLENT registry aimed to evaluate the effectiveness of the EMBOTRAP Revascularization Device in an all-comer population in a real-world setting, with a focus on the composition of retrieved clots.
Methods: EXCELLENT is a prospective, global registry of patients with acute ischemic stroke treated with EMBOTRAP as the first-line mechanical thrombectomy device conducted at 34 sites (25 sites contributing clot) from September 2018 to March 2021, utilizing core imaging and central histology laboratories blinded to clinical data, independent 90-day modified Rankin Scale assessment and Clinical Events Committee.
Results: After screening 3799 patients, a total of 997 subjects (mean age, 70.
Br J Radiol
January 2025
Department of Imaging, Oncology and Hematology, Ribeirao Preto School of Medicine, University of Sao Paulo, Ribeirão Preto, São Paulo 14049-900, Brazil.
Objective: To investigate the utility of voxel histogram analysis (HA) for differentiating hyperdense renal cysts from small solid masses on unenhanced CT scans.
Methods: A retrospective analysis of 99 hyperdense cystic lesions and 28 solid malignant lesions was conducted using a radiological database (from 2015 to 2021) and a pathological database (from 2010 to 2020). The study investigated the distribution of voxel attenuation values using percentiles to establish reliable criteria for differentiation after drawing a region of interest (ROI) in the centre of the lesions.
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