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Prevalence of lumbar disc herniation and its associated factors: A cross-sectional study in Gansu.
PLoS One
December 2024
Public Health School, Gansu University of Chinese Medicine, Lanzhou, China.
Background And Objective: The prevalence rate of LDH and its influencing factors in Gansu is unclear. This study aims to analyze the prevalence of LDH and influencing factors in Gansu.
Methods: A stratified multi-stage random sampling method was used to obtain representative samples of residents more than 18 years old from <1500m, 1500-3500m, and >3500m altitude sites in Gansu, China, in June 2022 to August 2022.
Bone and muscle mass characteristics in patients with gastroenteropancreatic neuroendocrine neoplasms.
Endocrine
December 2024
Εndocrinology Unit, First Department of Propaedeutic and Internal Medicine, National and Kapodistrian University of Athens, Medical School, Athens, Greece.
Background: Neuroendocrine neoplasms (NEN) are rare tumors arising from neuroendocrine cells most commonly in the gastrointestinal-tract. In recent years, advancements in therapeutics have increased survival rates in patients with NEN leading to a greater clinical burden compared to the general population.
Methods: The aim of this single-center case-control study was to investigate the incidence of low bone mass and changes in body composition in adult patients diagnosed with gastroenteropancreatic neuroendocrine tumors (GEPNET).
Causal association between bone mineral density and the risk of joint replacement in patients with osteoarthritis: a Mendelian randomization study.
Clin Rheumatol
December 2024
Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China.
Population-based studies have been inconsistent in terms of the relationship between bone mineral density (BMD) and the progression of osteoarthritis. This study aimed to evaluate the causal relationship between BMD and the risk of joint replacement in patients with osteoarthritis. We performed a two-sample Mendelian randomization (MR) analysis to determine the association of BMD of the total body, femoral neck, and lumbar spine with the risk of hip and knee replacements.
View Article and Find Full Text PDFA mathematical model for estimating the intraoperative lowest instrumented vertebra (LIV) tilt angle using preoperative supine left side-bending (LSB) radiographs in adolescent idiopathic scoliosis (AIS) patients with lenke type 1 and 2 non-AR curves.
Eur Spine J
December 2024
Department of Orthopaedic Surgery, Faculty of Medicine, National Orthopaedic Centre of Excellence for Research and Learning (NOCERAL), Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Purpose: To devise a mathematical model for estimating the intraoperative lowest instrumented vertebra (LIV) tilt angle using preoperative supine left side-bending (LSB) radiographs in adolescent idiopathic scoliosis (AIS) patients with Lenke type 1 and 2 (non-AR curves), and to review its clinical and radiological outcomes.
Methods: The mathematical model for the adjusted LSB LIV tilt angle (α) measured preoperatively, was expressed as the sum of preoperative LSB LIV tilt angle (x) and LIV displacement angle (y) (α = x + y). This model was validated through inter-rater and intra-rater analysis in Part I of the study.
Augmented prediction of vertebral collapse after osteoporotic vertebral compression fractures through parameter-efficient fine-tuning of biomedical foundation models.
Sci Rep
December 2024
Department of Medical Device Development, Seoul National University College of Medicine, Seoul, Republic of Korea.
Vertebral collapse (VC) following osteoporotic vertebral compression fracture (OVCF) often requires aggressive treatment, necessitating an accurate prediction for early intervention. This study aimed to develop a predictive model leveraging deep neural networks to predict VC progression after OVCF using magnetic resonance imaging (MRI) and clinical data. Among 245 enrolled patients with acute OVCF, data from 200 patients were used for the development dataset, and data from 45 patients were used for the test dataset.
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