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Objective: To compare three measurement methods for acetabular sizing and evaluate the influence of osteoarthritis (OA) on the accuracy of measurements.
Study Design: Observational study.
Sample: Radiographic images of 73 hip joints from 60 dogs with cementless cups.
Methods: Radiographs were anonymized and measured independently by three observers. One observer measured 12 sets of radiographs three times. A best-fit acetabular circle (AC) and cranial-caudal acetabular line (AL) were measured on ventral-dorsal (VD) radiographic view and open leg lateral (OLL) view. A best-fit femoral head circle (FHC) was measured on VD, OLL, and craniocaudal horizontal beam (CCHB) views. Two observers scored the OA in each hip joint. Intra- and interobserver consistency and repeatability and bias relative to implanted cup size were calculated and analyzed.
Results: Intraobserver consistency and repeatability were excellent for all measurements. Interobserver consistency was excellent (ICC > 0.9) for AC and AC and was good (0.75 < ICC ≤ 0.9) for all other methods. Bias was small for AC and AL measurements (range, -0.46 to 0.45 mm) and large for FHC measurements (-3.58 to -2.42 mm). OA score significantly influenced bias for all acetabular measurement methods (p < 0.05).
Conclusion: All acetabular measurement methods were highly consistent within an observer. Interobserver consistency was highest for AC and AC. FHC measurements underestimated cup size. Higher OA scores decreased the accuracy of all acetabular measurement methods.
Clinical Significance: Superimposing a circle on the acetabulum seen on VD radiographic view accurately measures the acetabulum before cementless cup placement.
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http://dx.doi.org/10.1111/vsu.14190 | DOI Listing |
JMIR Form Res
December 2024
School of Journalism and Communication, Beijing Normal University, Beijing, China.
Background: The proliferation of generative artificial intelligence (AI), such as ChatGPT, has added complexity and richness to the virtual environment by increasing the presence of AI-generated content (AIGC). Although social media platforms such as TikTok have begun labeling AIGC to facilitate the ability for users to distinguish it from human-generated content, little research has been performed to examine the effect of these AIGC labels.
Objective: This study investigated the impact of AIGC labels on perceived accuracy, message credibility, and sharing intention for misinformation through a web-based experimental design, aiming to refine the strategic application of AIGC labels.
J Med Internet Res
December 2024
Stein Eye Institute, Department of Ophthalmology, David Geffen School of Medicine, Los Angeles, CA, United States.
Background: Adequate health literacy has been shown to be important for the general health of a population. To address this, it is recommended that patient-targeted medical information is written at a sixth-grade reading level. To make well-informed decisions about their health, patients may want to interact directly with peer-reviewed open access scientific articles.
View Article and Find Full Text PDFJ Int Med Res
December 2024
Department of Pediatrics, Jordan University Hospital, Amman, Jordan.
Objectives: To describe changes in respiratory syncytial virus (RSV) epidemiology, its associated clinical outcomes and predictors of severe acute lower respiratory tract infection (ALRTI) pre- and post-COVID-19.
Methods: In this retrospective cohort, we analysed data from electronic medical record of children <5 years who were hospitalized at Jordan University Hospital with RSV-associated ALRTI from 2018 to 2022.
Results: 325 inpatients with respiratory infections were included.
Can J Ophthalmol
December 2024
Department of Ophthalmology and Visual Sciences, Dalhousie University, Halifax, Nova Scotia, Canada.
Objective: To conduct a pilot study to evaluate and compare the 24-hour habitual intraocular pressure (IOP) and ocular perfusion pressure (OPP) fluctuation in glaucoma patients treated with medical therapy, selective laser trabeculoplasty (SLT) or trabeculectomy.
Design: Pilot study.
Participants: Criteria for inclusion were patients aged 18 years or older with well-controlled IOP with either maximum tolerated medical therapy, previous SLT, or previous trabeculectomy.
J Bone Joint Surg Am
December 2024
Department of Orthopaedic Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea.
Background: Studies investigating constitutional alignment across various grades of osteoarthritis (OA) are limited. This study explored the distribution of Coronal Plane Alignment of the Knee (CPAK) types and associated radiographic parameters with increasing OA severity.
Methods: In this retrospective cross-sectional study, 17,365 knees were analyzed using deep learning software for radiographic measurements.
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