Acetabular growth and development in the axial plane was evaluated by computed tomography (CT) scan. One hundred seventy normal hips of children ranging in age from 6 months to 17 years were evaluated for axial acetabular index, anterior and posterior center-edge angles (CEA), and acetabular anteversion. The acetabulum deepens and becomes increasingly spherical with time until the age of 13 years. Little further change in acetabular shape occurs once the triradiate cartilage closes. Closure ensues between the ages of 11 and 13 years, occurring slightly earlier in girls. Posterior bony coverage of the femoral head is greater than anterior coverage at all times. Acetabular anteversion showed little change as the acetabulum developed. Establishing normal values for axial development of the hip and acetabulum allows a better three-dimensional concept of the different pathologic conditions and aids in treatment planning.
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http://dx.doi.org/10.1097/01241398-199307000-00001 | 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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