Pistol grip deformity (PGD) may be the main factor in femoroacetabular impingement development. This study aimed to clarify the epidemiological indices and factors related to PGD in Japanese people. This population-based cohort study included 1575 local Japanese residents. PGD, center edge angle, and joint space width were measured radiographically. We investigated the relationship between PGD and spino-pelvic parameters. Factors associated with PGD were examined using multiple logistic regression analysis, with the presence/absence of PGD as an objective variable, and sex, age, body mass index (BMI), and the presence/absence of hip pain or spino-pelvic parameters as explanatory variables. In the entire cohort, 4.9% (10.6% men, 2.1% women) had PGD on at least one side. A trend was observed between PGD and increasing age in both men and women (men: p < 0.0001, women: p = 0.0004). No relationship was observed between PGD and hip pain (risk ratio 1.0 [95% confidence interval 0.97–1.03]). Factors significantly associated with PGD were age, sex, and BMI in the multivariate model. Acquired factors may be related to PGD in Japanese people as the PGD prevalence increased with age and PGD was not significantly associated with hip pain. This study provides new insights into the etiology and clinical significance of PGD.
The relationship between acetabular dysplasia and spino-pelvic alignment remains unclear. The aim of this study was to clarify the association between acetabular dysplasia and spino-pelvic alignment, based on a large-scale population-based cohort in Japan. From the third survey of the Research on Osteoarthritis/Osteoporosis Against Disability (ROAD) study, 1,481 participants (491 men and 990 women; mean age, 65.3 years) were analyzed. Center-edge (CE) angle and spino-pelvic parameters (lumbar lordosis, LL; sacral slope, SS; pelvic tilt, PT; pelvic incidence, PI) were measured radiographically. Acetabular dysplasia was defined as a CE angle < 20°, and associations between acetabular dysplasia and spino-pelvic parameters were assessed. The group with acetabular dysplasia had significantly higher age, higher percentage of female, higher SS and higher PI than the group without acetabular dysplasia in a univariate analysis. On the other hand, acetabular dysplasia was not significantly associated with spino-pelvic parameters in a multiple logistic regression analysis that include age, sex, SS and PI as explanatory variables; however, PI demonstrated a positive odds ratio (odds ratio, 1.02; 95% CI 1.00–1.04). In conclusion, acetabular dysplasia was not significantly associated with spino-pelvic parameters, but higher PI may be an associated factor for acetabular dysplasia.
Accurate gluteus medius (GMd) volume evaluation may aid in the analysis of muscular atrophy states and help gain an improved understanding of patient recovery via rehabilitation. However, the segmentation of muscle regions in GMd images for cubic muscle volume assessment is time-consuming and labor-intensive. This study automated GMd-region segmentation from the computed tomography (CT) images of patients diagnosed with hip osteoarthritis using deep learning and evaluated the segmentation accuracy. To this end, 5250 augmented pairs of training data were obtained from five participants, and a conditional generative adversarial network was used to identify the relationships between the image pairs. Using the preserved test datasets, the results of automatic segmentation with the trained deep learning model were compared to those of manual segmentation in terms of the dice similarity coefficient (DSC), volume similarity (VS), and shape similarity (MS). As observed, the average DSC values for automatic and manual segmentations were 0.748 and 0.812, respectively, with a significant difference (p < 0.0001); the average VS values were 0.247 and 0.203, respectively, with no significant difference (p = 0.069); and the average MS values were 1.394 and 1.156, respectively, with no significant difference (p = 0.308). The GMd volumes obtained by automatic and manual segmentation were 246.2 cm3 and 282.9 cm3, respectively. The noninferiority of the DSC obtained by automatic segmentation was verified against that obtained by manual segmentation. Accordingly, the proposed GAN-based automatic GMd-segmentation technique is confirmed to be noninferior to manual segmentation. Therefore, the findings of this research confirm that the proposed method not only reduces time and effort but also facilitates accurate assessment of the cubic muscle volume.
Conflicts of Interest: The authors declare that there are no relevant conflicts of interest. Sources of Funding: None Author Contribution: Daisuke Nishiyama designed the study and wrote the initial draft of the manuscript. Takuhei Kozaki contributed to analysis and interpretation of data and assisted in the preparation of the manuscript. All other authors have contributed to data collection and interpretation and critically reviewed the manuscript. All authors read and approved the final manuscript.
Background: The frequency of the complications following total hip arthroplasty (THA) using the two-incision technique is well documented. However, few reports have analyzed the preoperative patient-related factors associated with the complications. The purpose of this study was to estimate the incidence of early complications following primary twoincision THA and to define the risk factors associated with perioperative complications. Materials and Methods: The subjects of this retrospective study were 1218 consecutive patients who underwent primary two-incision THA. The incidence of hip dislocation, stem subsidence, intraoperative femoral fracture, and nontraumatic postoperative femoral fracture was evaluated. The association between complications and preoperative patient-related factors, including gender, obesity, Crowe classification, age, body mass index (BMI), and morphological parameters of the proximal femoral medullary cavity, were investigated. Results: The incidences of complications were dislocation (1.1%), stem subsidence (0.9%), intraoperative femoral fracture (1.2%), and postoperative femoral fracture (0.7%). Obesity (BMI > 30) influenced the occurrences of stem subsidence and postoperative femoral fractures (p ¼ 0.0001, p ¼ 0.019). Crowe classification significantly correlated with intraoperative femoral fractures (Grade II: odds ratio (OR) 4.63, 95% confidence interval (CI), 1.32-15.6; Grade III and IV: OR 8.96, 95% CI, 2.2-34.94). Additionally, the outer diameter of the femur 10 cm below the lesser trochanter tended to be small in patients who developed a femoral fracture. Conclusions: The early complication rate was comparable to other methods used in uncemented THA. It is necessary for patients with risk factors revealed in this study to pay careful attention or consider other surgical approaches to avoid complications. Further studies considering femur morphology are required.
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