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Assessing Osteoporosis Risk on Panoramic Radiography through Fractal Dimension Analysis of Mandibular Condyles in
Sri Wigati Mardi Mulyani1, Yunita Savitri1, Alhidayati Asymal1
1Department of Dentomaxillofacial Radiology, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, Indonesia.
Fractal dimension (FD) analysis of mandibular condyles on panoramic X-rays can indicate osteoporosis risk. Higher FD values correlate with better bone mineral density (BMD), suggesting potential for early osteoporosis detection.
Area of Science:
- Dentistry
- Radiology
- Osteoporosis Research
Background:
- Osteoporosis significantly impacts postmenopausal women, leading to increased fracture risk.
- Accurate assessment of bone mineral density (BMD) is crucial for managing osteoporosis.
- Trabecular bone structure changes are indicative of bone health and osteoporosis progression.
Purpose of the Study:
- To analyze trabecular bone structure in the condylar bone using fractal dimension (FD) analysis on panoramic radiography.
- To correlate FD values with BMD to assess osteoporosis risk in postmenopausal women.
- To evaluate FD analysis as a potential tool for early osteoporosis detection.
Main Methods:
- 150 panoramic radiographs from postmenopausal women (≥50 years) with normal, osteopenia, or osteoporosis BMD were analyzed.
- Fractal dimension (FD) analysis was performed on the mandibular condylar bone using the box-counting method in ImageJ software.
- Spearman's rank correlation analysis was used to evaluate the relationship between FD and BMD values.
Main Results:
- A significant positive correlation was found between FD and BMD values (p < 0.001).
- Moderate correlation strengths were observed (r = 0.462 for ROI 1, r = 0.518 for ROI 2).
- Higher BMD values corresponded to higher FD values, indicating better trabecular bone density.
Conclusions:
- FD analysis of mandibular condyles is a viable indicator for assessing osteoporosis risk.
- FD analysis quantifies trabecular bone structural changes, complementing BMD measurements.
- This method offers a promising approach for the early detection of osteoporosis.
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