The questions of decreasing radiation loads in X-ray TV units due to application of digital means of storing X-ray TV images are considered. On the basis of the theoretical analysis of the spatial frequency, time and noise parameters of the X-ray image amplifiers the authors derived expressions relating the input ratio signal/noise of the USSR manufactured URI to the intensity of the X-ray radiation dose of the transformer input. It was established that under the pulse mode of the X-ray unit and storage in the digital memory of the TV unit signal to get the needed ratio signal/noise of the output videosignal (37 dB) it is quite enough to secure on the transformer input the value of the X-ray radiation dose of 15 microR. The functional scheme of the digital unit operating in pulse and pseudodynamic modes of X-ray diagnostic units is outlined.
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Eur J Radiol
January 2025
Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany; Division of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, USA. Electronic address:
Purpose: To evaluate the feasibility of aortoiliac CT-Angiography (CTA) using dual-source photon-counting detector (PCD)-CT with minimal iodine dose.
Methods: This IRB-approved, single-center prospective study enrolled patients with indications for aortoiliac CTA from December 2022 to March 2023. All scans were performed using a first-generation dual-source PCD-CT.
J Neurosurg
January 2025
2Department of Radiology, Service of Interventional Neuroradiology, Centre hospitalier de l'Université de Montréal (CHUM), Montréal.
Objective: Many patients with ruptured intracranial aneurysms (RIAs) underrepresented or excluded from previous randomized controlled trials (RCTs) comparing surgery with endovascular treatment (EVT) are still considered for surgical clipping, but the best management of these patients remains unknown.
Methods: The International Subarachnoid Aneurysm Trial-2 was a randomized trial comparing surgical versus EVT of RIAs considered for surgical clipping, despite the results of previous RCTs, and also eligible for EVT. The primary endpoint was death or dependency according to the modified Rankin Scale score (mRS score > 2) at 1 year.
J Neurosurg
January 2025
19Division of Medical Statistics, Division of Data Science, Foundation for Biomedical Research and Innovation at Kobe; and.
Objective: Studies have demonstrated the effectiveness of hydrogel-coated coils (HGCs) to achieve the composite endpoint of decreased recanalization rates and greater safety. Herein, the authors aimed to assess the true ability of second-generation HGCs to prevent recanalization.
Methods: This randomized controlled study, the HYBRID (Hydrocoil Versus Bare Platinum Coil in Recanalization Imaging Data) trial, comparing HGCs with bare platinum coils (BPCs), was conducted in 43 Japanese institutions.
ACS Appl Mater Interfaces
January 2025
The Institute for Advanced Studies, Wuhan University, Wuhan, Hubei 430072, People's Republic of China.
Deuterated compounds have broad applications across various fields, with dehalogenative deuteration serving as an efficient method to obtain these molecules. However, the diverse electronic structures of active sites in the heterogeneous system and the limited recyclability in the homogeneous system significantly hinder the advancement of dehalogenative deuteration. In this study, we present a catalyst composed of copper single-atom sites anchored within an ordered mesoporous nitrogen-doped carbon matrix, synthesized via a mesopore confinement method.
View Article and Find Full Text PDFJ Neurosurg
January 2025
1Department of Neurosurgery, St. Olav's University Hospital, Trondheim, Norway.
Objective: The extent of resection (EOR) and postoperative residual tumor (RT) volume are prognostic factors in glioblastoma. Calculations of EOR and RT rely on accurate tumor segmentations. Raidionics is an open-access software that enables automatic segmentation of preoperative and early postoperative glioblastoma using pretrained deep learning models.
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