The aim of this work is to compare two methods used for determining the proper shielding of computed tomography (CT) rooms while considering recent technological advances in CT scanners. The approaches of the German Institute for Standardisation and the US National Council on Radiation Protection and Measurements were compared and a series of radiation measurements were performed in several CT rooms at the Lausanne University Hospital. The following three-step procedure is proposed for assuring sufficient shielding of rooms hosting new CT units with spiral mode acquisition and various X-ray beam collimation widths: (1) calculate the ambient equivalent dose for a representative average weekly dose length product at the position where shielding is required; (2) from the maximum permissible weekly dose at the location of interest, calculate the transmission factor F that must be taken to ensure proper shielding and (3) convert the transmission factor into a thickness of lead shielding. A similar approach could be adopted to use when designing shielding for fluoroscopy rooms, where the basic quantity would be the dose area product instead of the load of current (milliampere-minute).
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http://dx.doi.org/10.1093/rpd/ncq100 | DOI Listing |
Oper Neurosurg (Hagerstown)
November 2024
Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
Background And Objectives: A typical workflow for deep brain stimulation (DBS) surgery consists of head frame placement, followed by stereotactic computed tomography (CT) or MRI before surgical implantation of the hardware. At some institutions, this workflow is prolonged when the imaging scanner is located far away from the operating room, thereby increasing workflow times by the addition of transport times. Recently, the intraoperative O-arm has been shown to provide accurate image fusion with preoperative CT or MR imaging, suggesting the possibility of obtaining an intraoperative localization scan and postoperative confirmation.
View Article and Find Full Text PDFASAIO J
January 2025
From the Division of Cardiac Surgery, Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
The use of cardiac devices, including mechanical circulatory support (MCS), cardiac implantable electronic devices (CIEDs), and pacing wires, has increased and significantly improved survival in patients with severe cardiac failure. However, these devices are frequently associated with acute brain injuries (ABIs) including ischemic strokes, intracranial hemorrhages, seizures, and hypoxic-ischemic brain injury which contribute substantially to morbidity and mortality. Computed tomography (CT) and magnetic resonance imaging (MRI), the standard imaging modalities for ABI diagnosis, can pose significant challenges in this patient population due to the risks associated with patient transportation and the incompatibility of ferromagnetic components of certain cardiac devices with high magnetic field of the MRI.
View Article and Find Full Text PDFJBJS Case Connect
January 2025
Cedars Sinai Medical Center, Los Angeles, California.
Case: A 14-year-old male athlete presented with a 9-month history of low back pain, worse with hyperextension. Nonoperative management for bilateral L4 spondylolysis had been unsuccessful. The patient underwent a novel magnetic resonance imaging (MRI) that generated a synthetic computed tomography (sCT).
View Article and Find Full Text PDFJBJS Case Connect
January 2025
Department of Orthopaedics, PGIMER, Chandigarh, India.
Case: A 30-year-old man presented with left proximal tibia fracture (open Grade 3A) and a transverse lateral malleolus fracture (Weber B) following direct impact injury. Computed tomography revealed a rare posteromedial tubercle fibula fracture at the posterior inferior tibiofibular ligament (PITFL) insertion, with syndesmosis disruption. Initial damage control included an external fixator.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Radiation Physics, Zhejiang Key Laboratory of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
Accurate and efficient automatic segmentation is essential for various clinical tasks such as radiotherapy treatment planning. However, atlas-based segmentation still faces challenges due to the lack of representative atlas dataset and the computational limitations of deformation algorithms. In this work, we have proposed an atlas selection procedure (subset atlas grouping approach, MAS-SAGA) which utilized both image similarity and volume features for selecting the best-fitting atlases for contour propagation.
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