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http://dx.doi.org/10.1177/0269216311421836 | DOI Listing |
J Clin Orthop Trauma
February 2025
Orthopaedic and Trauma Surgery Department, Hospital de Alta Complejidad Cuenca Alta, RP6 Km 92.5 PC 1814, Cañuelas, Buenos Aires, Argentina.
Introduction: Aseptic recalcitrant nonunion (ARNU) of the femur and tibia is an entity in which the absence of bony union, misalignment, and limb length discrepancies (LLD) coexist. Currently, the management of these cases lacks consensus. This study aimed to describe the bone union rate and deformity correction outcomes in patients with ARNU of the femur or tibia treated with the Induced Membrane Technique (IMT).
View Article and Find Full Text PDFCureus
December 2024
Ophthalmology Department, University of Kansas School of Medicine, Kansas City, USA.
Background: An idiopathic macular hole (IMH) is a foveal opening in the neurosensory retina caused by perifoveal vitreomacular traction and detachment. IMH prevalence varies considerably across populations, highlighting a need for further investigation, especially in underrepresented groups such as Hispanics.
Methods: This retrospective, descriptive, cross-sectional study analyzed IMH prevalence in a Hispanic population over four years.
Narra J
December 2024
Master of Biomedicine Study Program, School of Medicine and Health Sciences, Universitas Katolik Indonesia Atma Jaya, Jakarta, Indonesia.
Intestinal parasitic infections (IPIs), caused by helminths and/or protozoa, continue to be a significant public health concern in Indonesia. Water access, sanitation, and hygiene practices (WASH) are influential factors for IPIs, especially among children. The aim of this study was to investigate the association between WASH and IPIs among school-aged children.
View Article and Find Full Text PDFRev Gaucha Enferm
January 2025
RISE - Rede de Investigação em Saúde. Porto, Portugal.
Objective: To map the literature on the use of exergames in the rehabilitation of school-age children with brain tumors, in any context.
Method: Scoping review protocol developed using the recommendations of the Joanna Briggs Institute. The search will include aggregators, databases, indexes, repositories, and research browsers, without limitation as to the year of publication.
Radiol Artif Intell
January 2025
From the Department of Radiology (E.J.H., S.K., H.K., D. K., S.H.Y.) and Medical Research Collaborating Center (H.H.), Seoul National University Hospital, 101 Daehak- ro, Jongno-gu, Seoul 03080, Korea; Department of Radiology, Seoul National University College of Medicine (E.J.H., H.K., S.H.Y.), Seoul, Korea; Department of Radiology, Hanyang University Medical Center, Hanyang University College of Medicine (S-J.Y., Seoul, Korea).
Quantifying pleural effusion change on chest CT is important for evaluating disease severity and treatment response. The purpose of this study was to assess the accuracy of artificial intelligence (AI)-based volume quantification of pleural effusion change on CT images, using the volume of drained fluid as the reference standard. Seventy-nine participants (mean age, 65 ± [SD] 13 years; 47 male) undergoing thoracentesis were prospectively enrolled from October 2021 to September 2023.
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