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Outcomes of Surgical Interventions for Patellofemoral Instability in the Presence of Trochlear Dysplasia: A Systematic Review and Meta-analysis.
Am J Sports Med
January 2025
Department of Pharmacology and Biostatistics, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Background: Patellar instability is frequently encountered by orthopaedic surgeons. One of the major risk factors of this condition is underlying trochlear dysplasia (TD). Recent trends have indicated the use of multiple procedures to correct patellar instability under these conditions.
View Article and Find Full Text PDFMachine learning-based interpretation of non-contrast feature tracking strain analysis and T1/T2 mapping for assessing myocardial viability.
Sci Rep
January 2025
Cardiovascular Research Center, Rajaie Cardiovascular, Medical, and Research Center, University of Medical Sciences, Tehran, Iran.
Assessing myocardial viability is crucial for managing ischemic heart disease. While late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) is the gold standard for viability evaluation, it has limitations, including contraindications in patients with renal dysfunction and lengthy scan times. This study investigates the potential of non-contrast CMR techniques-feature tracking strain analysis and T1/T2 mapping-combined with machine learning (ML) models, as an alternative to LGE-CMR for myocardial viability assessment.
View Article and Find Full Text PDFEffectiveness of dynamic neuromuscular stabilization training on strength, endurance, and flexibility in adults with intellectual disabilities, a randomized controlled trial.
Sci Rep
January 2025
Department of Sport Injuries and Corrective Exercises, Faculty of Physical Education and Sport Sciences, Shahid Bahonar University of Kerman, Kerman, Iran.
Individuals with intellectual disabilities (ID) often exhibit lower levels of physical fitness compared to the general population, including reduced strength, endurance, flexibility, and coordination. Dynamic neuromuscular stabilization (DNS) training can potentially improve the performance of adults with ID caused by weak motor skills due to a lack of desirable nerve growth during childhood and before puberty. Also, DNS training proposed to improve physical fitness in this population, but the effectiveness and durability of DNS training on specific fitness components have not been well-established.
View Article and Find Full Text PDFEffects of intermittent theta burst stimulation on cognitive and swallowing function in patients with MCI and dysphagia risk: a randomized controlled trial.
BMC Geriatr
January 2025
Department of Rehabilitation Medicine (Rehabilitation Center), Qilu Hospital of Shandong University, No. 107, Wenhuaxi Road, Jinan , Shandong, 250012, China.
Background: Mild cognitive impairment (MCI) is a high-risk factor for dementia and dysphagia; therefore, early intervention is vital. The effectiveness of intermittent theta burst stimulation (iTBS) targeting the right dorsal lateral prefrontal cortex (rDLPFC) remains unclear.
Methods: Thirty-six participants with MCI were randomly allocated to receive real (n = 18) or sham (n = 18) iTBS.
Development and validation of machine learning-based model for hospital length of stay in patients undergoing endovascular interventional embolization for intracranial aneurysms.
World Neurosurg
January 2025
Department of Neurology, The First People's Hospital of Jingzhou, The First Affiliated Hospital of Yangtze University, Jingzhou 434000, China. Electronic address:
Objective: This study was to explore the factors associated with prolonged hospital length of stay (LOS) in patients with intracranial aneurysms (IAs) undergoing endovascular interventional embolization and construct prediction model machine learning algorithms.
Methods: Employing a retrospective cohort study design, this study collected patients with ruptured IA who received endovascular treatment at Jingzhou First People's Hospital during the inclusion period from September 2022 to December 2023. The entire dataset was randomly split into training and testing dataset with a 7:3 ratio.
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