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The current study aimed to objectively evaluate the fit of a rectangular, tapered stem to the severely dysplastic hips on the basis of the proximal femoral anatomy and the dimensional properties of the stem. It was hypothesized that the stem size planned with accordance to the diaphyseal canal width alone can accommodate the distal femur successfully with no sizing mismatch. Forty-six patients (53 hips) suffering from secondary osteoarthritis due to hip dysplasia scheduled for total hip arthroplasty (THA) with a subtrochanteric transverse shortening osteotomy were included.
View Article and Find Full Text PDFFibrous dysplasia (FD) is a benign tumor condition in which normal bone is replaced by structurally deficient fibrous lamellar bone. It represents approximately 5-7% of benign bone tumors and occurs in two presentations: monostotic, which is the most common, and polyostotic. The proximal femur is one of the most common locations for benign tumors, including FD.
View Article and Find Full Text PDFBone Res
January 2025
Department of Endodontology, School of Dental Medicine, University of Connecticut Health, Farmington, CT, USA.
Craniometaphyseal dysplasia (CMD), a rare craniotubular disorder, occurs in an autosomal dominant (AD) or autosomal recessive (AR) form. CMD is characterized by hyperostosis of craniofacial bones and metaphyseal flaring of long bones. Many patients with CMD suffer from neurological symptoms.
View Article and Find Full Text PDFPurpose: Tibial rotational deformity is a known risk factor for patellofemoral joint (PFJ) disorders. However, it is commonly associated with other abnormalities which affect the PFJ. The purpose of this study was to describe the prevalence of associated factors known to affect PFJ in patients undergoing rotational tibial osteotomy and their implication for the correction level.
View Article and Find Full Text PDFWorld J Exp Med
December 2024
Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX 75235, United States.
Background: Hip dysplasia (HD) is characterized by insufficient acetabular coverage of the femoral head, leading to a predisposition for osteoarthritis. While radiographic measurements such as the lateral center edge angle (LCEA) and Tönnis angle are essential in evaluating HD severity, patient-reported outcome measures (PROMs) offer insights into the subjective health impact on patients.
Aim: To investigate the correlations between machine-learning automated and manual radiographic measurements of HD and PROMs with the hypothesis that artificial intelligence (AI)-generated HD measurements indicating less severe dysplasia correlate with better PROMs.
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