Study Overview
The study, published in *Clinical and Experimental Dental Research* (2026), investigated associations between cone-beam computed tomography (CBCT)-derived gray value (GV) and fractal dimension (FD) and dual-energy X-ray absorptiometry (DEXA)-measured bone mineral density (BMD) in postmenopausal women. Conducted as a cross-sectional analytical study, it included 63 participants aged 50–70 years undergoing dental CBCT scans. Six trabecular regions of interest (ROIs) were analyzed: mandibular retromolar, mandibular premolar, mandibular anterior, maxillary premolar, maxillary anterior, and maxillary tuberosity. GV values were extracted from standardized 25×25-pixel ROIs, while FD was calculated using ImageJ with a box-counting method. DEXA scans assessed lumbar spine and hip BMD, categorized using WHO criteria. The study aimed to explore whether dental CBCT parameters could reflect systemic BMD without additional radiation exposure.
Key Findings
DEXA results classified 49.2% of participants as having normal BMD, 34.9% as osteopenic, and 15.9% as osteoporotic. The lumbar spine assessment identified more non-normal BMD cases compared to hip evaluation. While mean GV and FD values did not differ significantly across BMD categories, site-specific correlations were observed. Notably, FD at the maxillary premolar showed a statistically significant association with lumbar T-scores in the non-normal group (p = 0.030). The study found no overall discrimination of BMD categories using GV and FD, but regional associations suggested potential clinical relevance. However, the authors emphasized that these findings are exploratory and not intended as diagnostic tools.
Methodological Details
The study utilized standardized CBCT acquisition (NewTom 3G) and DEXA measurements for BMD. GV was extracted using OnDemand3D-Dental software, with ROIs positioned to exclude cortical bone and dental structures. FD analysis involved Gaussian blur subtraction, binarization, and skeletonization in ImageJ. Statistical analyses included t-tests/ANOVA and Pearson correlation (α = 0.05). Intra-observer reliability was assessed via intraclass correlation coefficients (ICC), with values exceeding 0.70 indicating good reliability. The study focused on trabecular bone regions, as these are more sensitive to osteoporotic changes than cortical bone. The authors noted that the sample size (n=63) and cross-sectional design limit the generalizability of findings, requiring validation in larger cohorts.
Limitations and Context
The study acknowledges several limitations. The small sample size (n=63) and cross-sectional design restrict the ability to establish causal relationships or long-term predictive validity. The authors caution against interpreting the findings as diagnostic or screening tools, emphasizing their exploratory nature. Additionally, the study focused on postmenopausal women, so results may not apply to other populations. The lack of significant overall discrimination between BMD categories suggests that GV and FD alone may not suffice for clinical decision-making. The authors recommend further research to confirm these associations and explore their utility in broader clinical settings, particularly for populations with limited access to DEXA.
Implications for Clinical Practice
The study highlights potential interactions between dental imaging and systemic bone health, suggesting that CBCT-derived parameters like FD may offer insights into BMD in postmenopausal women. However, the authors stress that these findings should not replace established BMD assessment methods like DEXA. The observed regional correlations, such as maxillary premolar FD with lumbar T-scores, could inform future research on integrating dental imaging into osteoporosis screening protocols. Clinicians should remain cautious, as the study does not provide evidence for using GV or FD as standalone indicators. The results underscore the need for larger, longitudinal studies to determine whether dental CBCT can complement traditional methods in identifying individuals at risk for osteoporosis-related fractures.