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Purpose: The effect of skeletal muscle mass of the trunk and extremities on sagittal imbalance of the spine before and after surgery for adult spinal deformity (ASD) has not been elucidated. The purpose of this study was to examine the correlation between reduced skeletal muscle mass of the trunk and extremities, as well as spinopelvic parameters, preoperatively, postoperatively and at least 2 years after surgery for ASD.

Methods: This retrospective observational study included 140 consecutive patients who had undergone surgery for ASD and were followed-up for at least 2 years and whose skeletal muscle mass could be measured preoperatively using whole-body dual-energy X-ray absorptiometry.

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Unlabelled: Osteoporosis is often underrecognized and undertreated following periprosthetic fractures (PPF). Our study found that between 2010 and 2020, there has been no significant change in the rates of osteoporosis screening or treatment within 1 year following PPF. Orthopedic surgeons can play an integral role in helping to curtail the osteoporosis epidemic.

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Objective: The integrity of the plantar flap is important for transmetatarsal amputation (TMA) classic closure. However, in ischemic wounds, the plantar flap can be compromised, making the TMA coverage difficult. The aim of this study was to compare the outcomes of rotational vs long plantar flaps for transmetatarsal amputation closure in patients with dysvascular partial foot amputations.

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We describe a 54-year-old man with type 2 diabetes mellitus, ischemic myopathy, pulmonary hypertension, and end-stage renal disease who was admitted for heart failure and listed for a dual cardiac-renal transplantation. Extensive calcification in the iliac arteries prevented clamping. Proximal endovascular balloon control of the left iliac artery was achieved using contralateral access; distal control was established by passing a Fogarty catheter distally through an iliac arteriotomy, later used for anastomosis of the cadaveric conduit.

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Objective: Lower limb malalignment can complicate symptoms and accelerate knee osteoarthritis (OA), necessitating consideration in study population selection. In this study, we develop and validate a deep learning model that classifies leg alignment as "normal" or "malaligned" from knee antero-posterior (AP)/postero-anterior (PA) radiographs alone, using an adjustable hip-knee-ankle (HKA) angle threshold.

Material And Methods: We utilized 8878 digital radiographs, including 6181 AP/PA full-leg x-rays (LLRs) and 2697 AP/PA knee x-rays (2292 with positioning frame, 405 without).

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