Objective: Intracerebral hemorrhage (ICH) is a life-threatening condition, where imaging plays a crucial role but remains poorly standardized. Our main objective was to analyze the imaging protocols used during the acute phase of ICH and ascertain the proportion of patients diagnosed with secondary hemorrhage.
Patients And Methods: A multicenter retrospective observational study was conducted across over 100 French hospitals affiliated with a national tele-imaging network dedicated to emergency imaging. Among patients managed in the "Stroke Alert" pathway for suspected acute stroke from March 2021 to April 2023, those with ICH diagnosed within 24 h of symptoms onset were identified. Their imaging reports were reviewed to identify the imaging modality used and protocols performed and investigate whether a secondary cause was identified.
Results: Of the 18,356 patients included in the "Stroke Alert" pathway, 662 cerebral hemorrhages were identified (3.6 %). Computed tomography (CT) was the most widely used imaging modality in the acute phase (71.8 % of examinations). Vascular imaging was performed in 78 % of patients with cerebral hemorrhage, most often CT angiography or TOF magnetic resonance angiography. A secondary cause was identified in 8.2 % (54/662) of cerebral hemorrhages, including vascular imaging in the vast majority of cases (92.6 %).
Conclusion: Optimization and standardization of imaging protocols in the acute phase of ICH is essential to improve the detection of its secondary causes, particularly vascular, requiring urgent treatment. Vascular imaging improves their early detection.
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http://dx.doi.org/10.1016/j.neurad.2024.101222 | DOI Listing |
Magn Reson Med
December 2024
Center for Image Sciences, High Field MR Research Group, Department of Radiology, University Medical Centre Utrecht, Utrecht, The Netherlands.
Purpose: To implement a low-rank and subspace model-based reconstruction for 3D deuterium metabolic imaging (DMI) and compare its performance against Fourier transform-based (FFT) reconstruction in terms of spectral fitting reliability.
Methods: Both reconstruction methods were applied on simulated and experimental DMI data. Numerical simulations were performed to evaluate the effect of increasing acceleration factors.
Eur J Med Res
December 2024
Department of Neurosurgery, Neuromedicine Center, Beijing Shijitan Hospital, Capital Medical University, No. 10, Tieyi Road, Yangfangdian, Haidian District, Beijing, 100038, People's Republic of China.
Background: Full-endoscopic microvascular decompression (fE-MVD) is an emerging treatment option for trigeminal neuralgia (TN). However, the risk factors associated with postoperative recurrence of TN after fE-MVD procedure remain controversial. The aim of the present study was to summarize the surgical technique of fE-MVD for the treatment of TN and to develop a predictive model for recurrence at 1 year postoperatively based on independent risk factors.
View Article and Find Full Text PDFCereb Cortex
December 2024
Department of Neurology, Xuanwu Hospital of Capital Medical University, #45 Changchun Street, Xicheng District, Beijing 100053, China.
The asymmetric pattern of β-amyloid plaque distribution across Alzheimer's disease clinical progression stages remains unclear. In this study, 66 participants with normal cognition, 59 with subjective cognitive decline, 12 with mild cognitive impairment, and 11 with Alzheimer's disease dementia were included in the Sino Longitudinal Study on Cognitive Decline (SILCODE) cohort. A regional asymmetry index, denoting the left-right asymmetry of β-amyloid plaques, was derived for each region based on the Anatomical Automatic Labeling atlas.
View Article and Find Full Text PDFJ Clin Ultrasound
December 2024
Department of General Surgery, University of Health Sciences, Van Training and Research Hospital, Van, Turkey.
Background: Ultrasonography (USG), which is used as the first step in the diagnosis of acute appendicitis (AA), sometimes cannot visualize the appendix. The aim of this study was to retrospectively analyze the clinical, imaging, and pathology results of these cases and to provide information to clinicians about the next step to be taken.
Methods: The study was performed retrospectively between January 1, 2021 and December 31, 2021.
Clin Lymphoma Myeloma Leuk
November 2024
Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Background: The sensitivity of reverse-transcription polymerase chain reaction (RT-PCR) is limited for diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Chest computed tomography (CT) is reported to have high sensitivity; however, given the limited availability of chest CT during a pandemic, the assessment of more readily available imaging, such as chest radiographs, augmented by artificial intelligence may substitute for the detection of the features of coronavirus disease 2019 (COVID-19) pneumonia.
Methods: We trained a deep convolutional neural network to detect SARS-CoV-2 pneumonia using publicly available chest radiography imaging data including 8,851 normal, 6,045 pneumonia, and 200 COVID-19 pneumonia radiographs.
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