Measurement of Hounsfield units on proximal femur computed tomography for predicting regional osteoporosis.
Radiologie (Heidelb)
; 63(Suppl 2): 90-97, 2023 Nov.
Article
en En
| MEDLINE
| ID: mdl-37603067
OBJECTIVE: This study was designed to investigate the use of proximal femoral Hounsfield units (HU) in conventional abdominal and pelvic computed tomography (CT) to predict hip osteoporosis by coupling with data from quantitative CT (QCT). METHODS: In this study, 315 patients who underwent routine abdominal and pelvic CT with the proximal femur included in the scanning range were also subjected to QCT of the proximal femur. Pearson correlation test was performed to analyze the correlations of the femoral head, femoral neck, proximal femur, and femoral trochanter CT HU with the femoral neck, femoral trochanter, and intertrochanteric femur bone mineral density (BMD) values from QCT. The diagnostic performance of CT HU measurement of the proximal femur for osteoporosis was analyzed using receiver operating characteristic (ROC) curves. RESULTS: The CT HU of the proximal femur showed the highest correlation with the BMD value of the hip (râ¯= 0.826; pâ¯< 0.01). The mean CT HU of the proximal femur differed significantly (all pâ¯< 0.01) for the three QCT-defined BMD categories of osteoporosis (192.23â¯HU vs. 188.71), of osteopenia (247.86â¯HU vs. 248.36â¯HU), and of normal individuals (308.13â¯HU vs. 310.41â¯HU) in left and right sides, respectively. In the ROC curve analysis, the area under the ROC curve values to predict osteoporosis in the left and right proximal femurs were 0.942 and 0.941, respectively. CONCLUSION: The CT HU of the proximal femur was significantly associated with the BMD value of the hip measured by QCT. The CT HU of the proximal femur is highly effective in diagnosing osteoporosis and could be used for hip osteoporosis screening.
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Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Osteoporosis
/
Densidad Ósea
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
Límite:
Humans
Idioma:
En
Año:
2023
Tipo del documento:
Article