Kamaruddin, Noorshaida
(2021)
Bone mineral density of the mandible as predictor of osteoporosis among Malays.
PhD thesis, Universiti Sains Malaysia.
Abstract
Relationship between craniofacial bone strength and other skeletal bone associated
with osteoporosis were studied by measuring bone mineral density (BMD). The aim of
this study is to compare and correlate the bone density of the mandible and other skeletal
bone using Dual Energy X-ray Absorptiometry (DXA) and Cone Beam Computed
Tomography (CBCT). The sensitivity of TLD 100H exposed to DXA also tested. For
comparison of BMD value, the head phantom was scanned with different data acquisition
protocol and patient positioning for mandibular DXA examination. For correlation of
mandible with other skeletal bone, patient who had underwent CBCT examination
underwent DXA examination of mandible, spine and hip. Linear measurement was then
being made on the CBCT images of patients. The result from the measurement of CBCT
image along with the result from DXA examination was taken for statistical analysis. The
data was analysed using T-test, Pearson’s correlation, Spearman’s correlation, Kruskal
Wallis and Mann Whitney. The result shows that there is no significant difference in BMD
value using different data acquisition protocol and there was significant difference in
BMD value using different positioning when scanning using DXA scanner. The study also
found that there was no significant correlation between BMD of the mandible and other
skeletal sites from DXA and significant difference was found between density of the
mandible from CBCT and DXA. A strong negative correlation exists between computed
tomography mandibular index inferior (CTI I) and computed tomography mandibular
index superior (CTI S) with bone status (spine). As for TLD, sensitivity of TLD-100H
compared TLD-100 was about 23 times higher when exposed to general radiography
x-ray and 1.26 times when exposed to DXA energy. In conclusion, the evaluation of
mandibular density to predict osteoporosis is possible using CTI I and CTI S indices.
Actions (login required)
 |
View Item |
