Assessment Of Digital Orthopantomograms As A Screening Tool For Osteoporosis
Objectives: The aim of the study was to assess the efficacy of digital panoramic radiographs as a triage screening tool for osteoporotic changes in a large population. It is an attempt to identify the role dentists may play, as part of the medical fraternity, in early detection and and prompt referral of potential cases of osteoporosis for further medical investigations. Methods: Evaluation of digital orthopantomograms of 3 groups of female patients that is groups A, B, and C based on their age thats is 20-40 years, 40-60 years and ≧60 years respectively. 3 radiographic indices recorded for each of these films namely the Panoramic mandibular index (PMI), Mandibular cortical width (MCW), and Pixel intensity (PI) using Image J software (1.48v) and assessed for changes in value of each index with increasing age of the patient.A comparison was sought between the two morphometric indices (PMI, MCW) and the Pixel intensity index (PI). Results: All 3 indices showed a statistically significant association with the age of the patient whereby the abnoraml readings of each was observed to increase with advancing age. A positive correlation was observed between PI and the two morphometric indices (PMI and MCW) as well as between the two morphometric indices themselves. No significant association was however found between the indices and the dentate status of the study sample. Conclusions: Evaluation of radiographic indices from routinely done digital orthopantomograms can provide useful preliminary information about a patient's risk for developing osteoporosis and be used for triage screening and referral of suspected cases without incurring any additional costs. This study also suggested age to be an important risk parameter for osteoporosis.
South African Division Meeting
2016 South African Division Meeting (Cape Town, South Africa) Cape Town, South Africa
2016
Oral Medicine & Pathology
Kumar, Meeru
( University of the Western Cape,SA
, LUDHIANA
, PUNJAB
, India
)
NONE.
Poster Session
2016 South African Division Abstracts
Analysis of Variance: Indices vs Age Group
INDICES
AGE GROUP (YEARS)
TOTAL
P VALUE
20-40
40-60
>/=60
MEAN
SD
MEAN
SD
MEAN
SD
MEAN
SD
PMI
0.386
0.061
0.354
0.067
0.318
0.065
0.352
0.070
0.000
MCW
3.390
0.405
3.185
0.562
2.882
0.514
3.152
0.537
0.000
PI
92.539
14.903
83.056
14.446
81.449
13.602
85.681
15.054
0.000
Chi-Square value- 55.82, Degrees of freedom- 4, p value- =0.001
Pearson Correlation between Indices
INDICES
r (Correlation co-efficient)
p value
PMI vs MCW
0.662
0.000
PMI vs PI
0.240
0.003
MCW vs PI
0.272
0.001
CHI-SQUARE TEST: Indices vs. Age Group
INDEX
READINGS
AGE GROUP
TOTAL
20-40 (yrs)
41-60 (yrs)
>60 (yrs)
No.
%age
No.
%age
No.
%age
No.
%age
PMI
ABNORMAL (<0.3)
0
0.0
8
16.0
17
34.0
25
16.67
NORMAL (>/=0.3)
50
100.0
42
84.0
33
66.0
125
83.33
MCW
ABNORMAL (<3mm)
10
20.0
19
38.0
30
60.0
59
39.33
NORMAL(>/=3mm)
40
80.0
31
62.0
20
40.0
91
60.67
TOTAL
50
100.0
50
100.0
50
100.0
150
100.0
PMI: Chi-Square - 20.832, Degrees of freedom(df)- 2, p value - <0.001
MCW: Chi-Square - 16.819, Degrees of freedom(df)- 2, p-value - <0.001