Preprint · CC-BY
via OpenAlex
Cortical thickness index of the proximal femur: a radiographic parameter for preliminary assessment of bone mineral density and osteoporosis status in the age 50 years and over population
Institutional Repositories DataBase (IRDB) · 2018
Abstract
Background: Bone mineral density (BMD) is the indicator of bone quality in at-risk individuals. Along with the fracture risk assessment tool (FRAX), a quick assessment of BMD from routine radiographs may be useful in the case of lacking X-ray absorptiometry data. This study aimed to investigate the correlation of cortical thickness index (CTI) and canal flare index (CFI) with BMD and FRAX and to evaluate their ability to predict femoral neck BMD (nBMD) and FRAX in the general elderly population. Methods: A total of 560 volunteers (age ≥ 50 years) who underwent hip-spine X-ray, BMD scanning and FRAX calculation were retrospectively reviewed. CTI and CFI were measured on anteroposterior radiographs and analyzed for their correlation with BMD and FRAX and for their ability to predict nBMD. The ability of CTI to predict osteoporosis status (OPS) and fracture risk status (FRS) was also investigated and the threshold values were calculated. All the analyses were performed separately on male and female subjects. Results: Significant differences in CTI, CFI, nBMD and FRAX between males and females were observed. CTI and CFI demonstrated significant positive correlation with nBMD and FRAX (all p < 0.001) in both males and females. CTI, height, and weight significantly predicted nBMD. CTI statistically predicted OPS and FRS, and the values of 0.56 and 0.62 were computed as CTI thresholds for males and females, respectively. Conclusions: CTI was significantly correlated with nBMD and it predicted nBMD at good prediction levels. Therefore, CTI may be used as a supportive tool in the assessment of OPS and FRS besides BMD and FRAX in clinical practice.
◌ CITATION ONLY
Full text is not openly licensed for redistribution here. Read it at the source:
Provenance
- Source
- OpenAlex
- Canonical
- link ↗
- Fetched
- 2026-10-18 MST
Cite this
APA
Nguyen, N.T.B. (2018). Cortical thickness index of the proximal femur: a radiographic parameter for preliminary assessment of bone mineral density and osteoporosis status in the age 50 years and over population. <em>Institutional Repositories DataBase (IRDB)</em>. https://openalex.org/W7145313262
Vancouver
Nguyen NTB. Cortical thickness index of the proximal femur: a radiographic parameter for preliminary assessment of bone mineral density and osteoporosis status in the age 50 years and over population. Institutional Repositories DataBase (IRDB). 2018.
BibTeX
@unpublished{nguyen2018Cortic,
title = {Cortical thickness index of the proximal femur: a radiographic parameter for preliminary assessment of bone mineral density and osteoporosis status in the age 50 years and over population},
author = {Nguyen Thai Bao Nguyen},
journal = {Institutional Repositories DataBase (IRDB)},
year = {2018},
}
Research neighborhood
References, citing works, and semantically nearest findings. Click a node to open it.
Related findings
Clinics in Orthopedic Surgery 2018
Open access · CC-BY
Cortical Thickness Index of the Proximal Femur: A Radiographic Parameter for Preliminary Assessment of Bone Mineral Density and Osteoporosis Status in the Age 50 Years and Over Population
International Journal of Research in Orthopaedics 2025
Open access · OA
Age, gender, and site-specific variations in bone mineral density: a cross-sectional analysis of osteoporosis risk factors
Journal of Osteoporosis 2014
Open access · CC-BY
A New Predictive Index for Osteoporosis in Men under 70 Years of Age: An Index to Identify Male Candidates for Osteoporosis Screening by Bone Mineral Density
Medical Sciences 2017
Open access · CC-BY
Inflammatory Biomarkers of Cardiometabolic Risk in Obese Egyptian Type 2 Diabetics
The FASEB Journal 2008
Citation only
Bone Mass and osteoporosis risk determination in a group of students aged 20 to 30 years old attending a University Campus
Chinese Journal of Osteoporosis 2012
Citation only