Psoas muscle index is related to hip fracture in osteoporosis: a cross-sectional MRI study

Predictive value of preoperative gluteus and iliacus muscle volumes for patient-reported outcomes following total hip replacement: a three-dimensional volumetric analysis

INTRODUCTION

This study aimed to investigate the relationship between hip muscle mass and patient-reported outcomes (PROs) after total hip arthroplasty (THA) surgery for hip disease using 3D volumetric measurements of the gluteus muscle group and iliac muscle.

MATERIALS AND METHODS

Between January 2020 and December 2021, 85 patients who had undergone unilateral THA for osteoarthritis or osteonecrosis of the femoral head were enrolled. Using a 3D modeler program, automatically generated 3D reconstructed images of the hip muscles were obtained, and volumetric measurements were performed. Both unadjusted and height (m2)-adjusted muscle volumes of the gluteus maximus (unadjusted volume: GmaxV; adjusted volume: GmaxI), gluteus medius (unadjusted volume: GmedV; adjusted volume: GmedI), gluteus minimus (unadjusted volume: GminV; adjusted volume: GminI), and iliacus (unadjusted volume: IliacV; adjusted volume: IliacI) muscles were measured on the affected side and both sides. Pearson correlation analysis between muscle volumes and postoperative 12-month PROs were performed.

RESULTS

The preoperative Gmax volume on the affected side was significantly associated with post-operative PROs, especially mHHS (GmaxV: p = 0.026; GmaxI: p = 0.005) and UCLA scores (GmaxV: p = 0.006; GmaxI: p = 0.002). For measurements on both sides, Gmed volume was the sole index showing a significant correlation with postoperative UCLA scores (GmedV: p = 0.023; GmedI: p = 0.043).

CONCLUSIONS

The current study suggests that preoperative gluteus muscle volume may have predictive value for postoperative PROs of hip disease patients who have undergone THA surgery.

Opportunistic Assessment of Hip Fracture Risk Based on Chest CT

OBJECTIVE

Hip fracture (HF) has been described as the "last fracture of life" in the elderly, so the assessment of HF risk is extremely important. Currently, few studies have examined the relationship between imaging data from chest computed tomography (CT) and HF. This study demonstrated that pectoral muscle index (PMI) and vertebral body attenuation values could predict HF, aiming to opportunistically assess the risk of HF in patients without bone mineral density (BMD) based on chest CT for other diseases.

METHODS

In the retrospective study, 800 participants who had both BMD and chest CT were enrolled from January 2021 to January 2024. After exclusion, 472 patients were finally enrolled, divided into the healthy control (HC) group and the HF group. Clinical data were collected, and differences between the two groups were compared. A predictive model was constructed based on the PMI and CT value of the fourth thoracic vertebra (T4HU) by logistic regression analysis, and the predictive effect of the model was analyzed by using the receiver operating characteristic (ROC) curve. Finally, the clinical utility of the model was analyzed using decision curve analysis (DCA) and clinical impact curves.

RESULTS

Both PMI and T4HU were lower in the HF group than in the HC group (p < 0.05); low PMI and low T4HU were risk factors for HF. The predictive model incorporating PMI and T4HU on the basis of age and BMI had excellent diagnostic efficacy with an area under the curve (AUC) of 0.865 (95% confidence interval [CI]: 0.830-0.894, p < 0.01), sensitivity and specificity of 0.820 and 0.754, respectively. The clinical utility of the model was validated using calibration curves and DCA. The AUC of the predictive model incorporating BMD based on age and BMI was 0.865 (95% CI: 0.831-0.895, p < 0.01), with sensitivity and specificity of 0.698 and 0.711, respectively. There was no significant difference in diagnostic efficacy between the two models (p = 0.967).

CONCLUSIONS

PMI and T4HU are predictors of HF in patients. In the absence of dual-energy x-ray absorptiometry (DXA), the risk of HF can be assessed by measuring the PMI and T4HU on chest CT examination due to other diseases, and further treatment can be provided in time to reduce the incidence of HF.

Correlation of Psoas Muscle Index with Fragility Vertebral Fracture: A Retrospective Cross-Sectional Study of Middle-Aged and Elderly Women

OBJECTIVE

To investigate the correlation of psoas muscle index (PMI) with fragility vertebral fracture.

METHODS

A total of 184 middle-aged and elderly women were included in the study. We measured the bilateral psoas muscle area on the picture archiving and communication system (PACS) from computed tomography images and calculated PMI. We observed lateral radiographs of the thoracolumbar spine and assessed vertebral fractures using the Genant semiquantitative method. The T-score, bone mineral density (BMD) of the lumbar (L)1-4, femoral neck, and trochanter were measured by dual-energyX-ray absorptiometry (DXA). The data was collected and then statistically analyzed.

RESULTS

The PMI of the nonosteoporosis group was higher than that of the osteoporosis group (P value = 0.006). Height in the nonosteoporosis group was higher than that in the osteoporosis group (P value = 0.013). Weight, body mass index (BMI), left psoas muscle area, BMD of the L1-4, femoral neck, femoral trochanter, and T-score in the nonosteoporosis group were higher than those in the osteoporosis group (P value <0.001). The right psoas muscle area in the nonosteoporosis group was higher than that in the osteoporosis group (P value = 0.008). The incidence of combined thoracolumbar fracture was significantly higher in the osteoporosis group than that in the nonosteoporosis group (P value <0.001). For nonosteoporosis subjects, the PMI of the vertebral fracture group was lower than that of the nonvertebral fracture group (P value = 0.034).

CONCLUSIONS

A decrease in height, weight, BMI, bilateral psoas muscle area, and PMI is associated with osteoporosis. Combined thoracolumbar fractures are more common in osteoporosis. Sarcopenia may be an independent risk factor for nonosteoporotic vertebral fractures.