Literature DB >> 30175187

Relationship between Two Panoramic Radiography Indices and Bone Mineral Density of Postmenopausal Women with Osteopenia and Osteoporosis.

Nader Navabi1, Reza Motaghi2, Mandana Rezazadeh3, Hatam Balooch4.   

Abstract

STATEMENT OF THE PROBLEM: Reduced bone mineral density (BMD) generally affects postmenopausal women and it is classified into moderate (osteopenia) and significant osteoporosis. Based on digital panoramic radiographs (DPRs), several quantitative and qualitative assessment methods have been proposed for the diagnosis and evaluation of bone changes and as a predictor of BMD.
PURPOSE: The aim of this study was to compare mandibular cortical width (MCW) and mandibular cortical index (MCI) derived from DPRs in evaluating the BMD in osteopenic and osteoporotic post-menopausal women. MATERIALS AND
METHOD: In this cross-sectional study, the BMD assessment was performed using dual-energy X-ray absorptiometry (DEXA). Then, patients were divided into two groups: osteopenia and osteoporosis based on WHO criteria. Two types of T-scores including TT (trabecular) for lumbar spine, TC (cortical) for femoral neck and finally, MCW and MCI were measured based on DPRs.
RESULTS: Fifty females with the average age of 57.64±6.03 years were entered into the study. MCW significantly correlated with BMD (p< 0.05). Pearson correlation coefficient test revealed that there was almost significant relationship between MCI and BMD (p= 0.079). The area under the curve (AUC) in ROC suggested that there was a close overlap between MCW (0.773) and TC (0.783), but TT had the greatest AUC (0.996).
CONCLUSION: The results showed that MCW is an appropriate index of osteoporosis in post-menopausal women. Although the prediction of osteoporosis is poorer at the femoral neck than lumbar spine, MCW can serve as a screening tool for osteoporosis in this area.

Entities:  

Keywords:  Mandibular Cortical Index ; Mandibular Cortical Width ; Osteopenia; Osteoporosis ; Menopause

Year:  2018        PMID: 30175187      PMCID: PMC6092463     

Source DB:  PubMed          Journal:  J Dent (Shiraz)        ISSN: 2345-6418


Introduction

Osteoporosis (OP) caused by the imbalance between bone formation and resorption is a chronic systemic skeletal and multi-factorial disease. Decrease in bone mass, disturbing the structure of bone tissue and extremely disposing to fracture are the main features of OP.[1-2] OP prevalence is estimated at 27.6 million in Europe (22 million women and 5.6 million men); however, the statistics will be increased in the future. Certain known risk factors for the disease include older age, female sex, menopause, Asian race, low body mass index, smoking, alcohol use, inadequate intake of vitamin D and calcium, lack of physical activity, consumption of drugs such as corticosteroids (more than three months) and anticonvulsants.[3] OP imposes a heavy economic cost on the health and treatment systems; hence, it is considered as a major public health problem in both developed and developing countries.[4] Reduction in bone mineral density (BMD), namely osteopenia, usually remains undiagnosed before the onset of serious complications due to being asymptomatic.[3-4] The prevalence of OP is higher in women than in men because of the menopause.[5] Nowadays, some of the public health promotion strategies are for screening of population susceptible to bone fractures (those with osteopenia) and for preventing the serious complications and even death caused by OP.[3] The gold standard recommended by the World Health Organization (WHO) for diagnosis of OP is the measurement of BMD via dual energy X-ray absorptiometry (DEXA) method. In this method, X-ray is used to measure BMD, which is an areal density and expressed in grams per square centimeter.[2-3] Currently, DEXA method is widely applied worldwide and has very reliable outcomes in identifying individuals with low BMD at the hipbone and spine. It measures the amount of mineral in the skeletal system.[3,5] For diagnosis of OP, in its early stages it is ideal to measure BMD in all postmenopausal women at risk. However, DEXA technique is expensive and it is better to use a low-cost and simpler alternative method for assessment of the skeletal status in this high-risk population, especially for the socio-economically poor strata of the population.[3] Dental panoramic radiograph (DPR) is considered as a common, simple, and cost-effective technique in dental visits as well as one of the most important diagnostic radiographies among patients over 40 years. [3] In recent decades, the diagnostic status of panoramic radiography has been discussed to find evidences for the OP in women after the age of menopause. In panoramic radiography, there are generally two series of quantitative and qualitative scales to analyze the bone for the signs of resorption and OP.[1-6] A systematic review by Martínez-Maestre et al.[7] showed that the majority of studies have confirmed the relationship between OP and jawbone resorption. In several studies, qualitative and quantitative indices of panoramic radiography have been evaluated in OP.[5-28] In another systemic review; Calciolari et al.[26] suggested that the dentists could screen the low levels of BMD values using these indices. So far, in this regard, the most quantitative and qualitative indices have been mandibular cortical width (MCW) and mandibular cortical index (MCI), respectively,[1-6] while the results of various studies have shown that these two indices have no significant superiority to each other for application in postmenopausal women with OP. On the other hand, in previous studies, the comparison between qualitative and quantitative indices was never performed in two groups of patients with low BMD. The aim of this study was to compare the relationship of qualitative and quantitative indices of panoramic radiography with BMD index among postmenopausal women (with two different intensities of reduced BMD) to determine the importance of each index. (Figure 1 and 2).
Figure1

Measurement of the Mandibular Cortical Index (MCI) for three classes (C1 to C3) in three cases.

Figure2

Measurement of the Mandibular Cortical Width (MCW) index (4 + 4.5 / 2 = 4.25 mm for this case)

Measurement of the Mandibular Cortical Index (MCI) for three classes (C1 to C3) in three cases. Measurement of the Mandibular Cortical Width (MCW) index (4 + 4.5 / 2 = 4.25 mm for this case)

Materials and Method

In this cross-sectional research, the study population was women with age range of 45 to 65 years who entered into menopause and whose menstruation was discontinued at least 6 months ago. The study population consisted of the patients suspicious of OP or osteopenia visiting the rheumatologist. Inclusion of the subjects was based on simple sampling method. BMD test was performed for the participants based in the history and clinical examination. The patients with the history of hysterectomy or oophorectomy, taking medications affecting the bone metabolism such as bisphosphonates, corticosteroids, anticonvulsants, synthetic thyroid hormone and estrogen replacement therapy, positive history of bone metabolism diseases including hyperparathyroidism, initial malignancy or metastasis malignancy or degenerative diseases of bone and bone fracture history were excluded from the study.[1-6] Based on the tables of two systematic reviews, the sample size of the current study was 50 people who participated voluntarily.[7] Research objectives were explained for them, their panoramic radiographies were free, and their required dental treatments were given to them in written instructions. In addition, the patient's personal information was kept confidential during the research. This study received a code of ethics (Ir.Kmu.rec.1395.20) from the Department of Science and Technology of Kerman University of Medical Sciences, Iran. BMD was measured using bone densitometry device (DEXA, from QDR Series, Hologic Co., the USA) in the subspecialty division of rheumatology. After measuring BMD, the results were written in the medical record of each patient and they were referred to a private oral and maxillofacial imaging center along with written admission letter. The measurement results of BMD were reported as T-score. T-score is an index selected by the WHO for this measurement in order to compare the bone density of young healthy people at the same gender. Normal BMD is when the T-score is greater than -0.1. In the range of -0.1 to -2.5, patients are osteopenic and at risk of developing OP, and OP is a T-score less than -2.5. However, this score as -1 time of standard deviation compared to the mean scale for adult females and -2.5 times of standard deviation are regarded as osteopenia and OP, respectively.[6] Only, the patients with the osteopenia and OP according to the BMD were entered into the present study. In this study, the device reported two types of T-scores for each patient: TC (Cortical bone) for BMD of femoral neck and TT (Trabecular bone) for BMD of lumber spine. Panoramic radiographs were prepared by oral and maxillofacial radiologist using digital radiography device (Planmeca/Promax, Finland) with 70kvp, 10 to 14 milliamps, and CCD sensor. The used software in this device was Promax 3.7.1 and images were observed on 27-inch monitor of Dell Ultra Sharp with the resolution of 1440 x 2560. MCW index was used for quantitative assessment of panoramic radiographies of patients, and MCI for qualitative assessment. MCW is defined in millimeter through drawing a perpendicular line from the middle of mental foramen to tangent of the lower border of the mandible. To measure MCW index, the mean was calculated for cases whose cortical bone thickness beneath the mental foramen was different on both sides of the mandible. MCI index (or Klemetti index) is defined as Class I: clear cortical bone boundaries, Class II: cortical bone boundaries with crescent-shaped thermal damage, Class III: clear porosity in the cortical bone with cortical damage on close view.[1-6] Data were analyzed using SPSS 25 and p< 0.05 was considered as significant level. Pearson correlation coefficient was used to investigate the relationship between MCI and BMD. T-test was applied to examine the relationship of age and panoramic quantitative index (MCW) with the BMD index, and the sensitivity and specificity of the study indicators were analyzed using ROC curve to predict the increase in bone mineral density.

Results

Totally, 50 postmenopausal women with the mean age of 57.64±6.03 years participated in the current study. The mean BMD of patients (T-score) was -2.41±1.19 in the spine (TT) and -1±1.16 in the femur (TC). The mean MCW in patients was obtained 2.49±0.67mm. The highest frequency distribution of patients based on MCI was in Class III (84%) and the lowest one was in Class I (12%). Furthermore, according to BMD, half of the patients were placed in osteopenia group and the other half was placed in OP group. Figure 3 illustrates the relationship between panoramic MCI and BMD in patients. The majority of patients in terms of MCI were in Class II (84%), and others were in Class I (12%), and Class III (4%), respectively. According to this figure, MCI distribution in osteopenia group is 79.2% for Class II, 20.8% for Class I and 0 for Class III. In osteoporotic group, 88%, 8% and 4% of the subjects were in Class II, Class III, and Class I, respectively. Pearson correlation coefficient was nearly significant (p= 0.079) for the relationship between MCI and BMD. In fact, Class II of MCI indicated the presence of OP.
Figure3

The relationship between bone mineral density (based on two groups: osteopenia & OP) and mandibular cortical index (MCI) in three classes (1, 2 & 3)

The relationship between bone mineral density (based on two groups: osteopenia & OP) and mandibular cortical index (MCI) in three classes (1, 2 & 3) The T-test represented a significant relationship between age and panoramic MCW index with bone mineral density. In other words, in patients with OP, significantly, the age was higher [Sig (2-tailed) =0.000] and MCW index was lower [Sig (2-tailed) =0.001]. Figure 4 indicates the ROC curve drawn for the calculation of sensitivity and specificity of the MCW index to predict the BMD. As shown in this graph, the highest level of area under the curve (AUC) is related to TT, but MCW index represents closely overlap with TC. This means that MCW is able to predict the rate of BMD in the femur though the bone mineral density in the spine has higher area and thus prediction of OP at the femoral neck is more accurate than lumbar spine. In addition, areas under the ROC curve were 0.773, 0.996, and .0783 for indices of MCW, TT, and TC, respectively.
Figure4

The ROC curve illustrates predictability of mandibular cortical width (MCW) for the bone mineral density; using two types of T score: TC (Cortical bone) for femur and TT (Trabecular bone) for spine.

The ROC curve illustrates predictability of mandibular cortical width (MCW) for the bone mineral density; using two types of T score: TC (Cortical bone) for femur and TT (Trabecular bone) for spine.

Discussion

The results of the present study and several similar recent studies have suggested the relative superiority of radiographic quantitative indices over qualitative ones.[27-30] Because of the menopause in women and the significant impact of this phenomenon on the incidence of OP, most studies of this field such as the current study have been conducted on postmenopausal women, whereas few studies have been carried out on men like the study of Yamada et al. in 2015.[10] One of the reasons causing the absence of certain definition of index as the criteria for prediction of OP based on panoramic radiography is the variety of indices used by researchers in this field. As previously mentioned, MCW and MCI seems to be the most practical indices to identify patients at risk of OP and osteopenia, nevertheless some investigators used other indices instead of MCW and MCI. Kavitha et al.[8] and Koh et al.[18] used fractal dimension (FD) in their studies. Kavitha et al.[20] has proposed a technique called Support Vector Machine (SVM), which Muramatsu et al.[31] has interpreted it as Support Vector Regression (SVR) in a recent research. There are also other studies in which a particular technique has been used in this field such as the application of simple visual estimation (SVE) by Kim et al.,[11] relative bone density (RBD) by Bozic and Ihan Hren [16] and mandibular cortical shape index by Al-Dam et al.[17] As seen, in addition to the researchers' disagreement over the selection of unique index in this field in dental radiographies, some researchers are currently seeking the new indices. However, Muramatsu et al.[31] have recently introduced mandibular cortical degree (MCD) index for the first time in this regard. Panoramic radiography is still used as a routine diagnostic tool in dental treatments of population prone to OP (elderly), whereas Gomes et al.[12] have indicated no significant difference between cone-beam computed tomography (CBCT) and panoramic technique in patients with low BMD. The present results have shown a significant relationship of MCW and almost significant correlation of MCI with OP, but it seems that using MCW because of being quantitative is more practical to compare with numbers related to BMD. Moreover, Kavitha et al.[19] and Nagi et al.[9] in their studies explicitly expressed that there was a higher practical relationship between MCW and OP. However, Mansour et al.,[13] Bodade and Mody,[14] and Khojastehpour et al.[22] have emphasized MCI as more practical index in this field. Researchers such as Johari Khatoonabad et al.[21] and Roberts et al.[15] also considered the combination of qualitative and quantitative indicators more practical for comparison with OP. Statistical approach with comparable index (CI) is one of the factors that seem to affect the heterogeneity of findings related to such studies. This means that the researchers used different statistical concepts for this comparison. In the present study similar to those of Nagi et al.[9] Mansour et al.,[13] and Bodade and Mody,[14] the significant associations were found between MCW and loss of natural teeth with OP using correlation coefficients. Nevertheless, Kavitha et al.[8] assessed accuracy, Mansour et al.[13] determined repeatability, and Khojastehpour et al.[22] evaluated sensitivity and specificity in this area. As mentioned before, the various statistical approaches to this comparison make it difficult to summarize the results of different studies in this area. A group of researchers such as Yamada et al.[10] and Martínez-Maestre et al.[7] have considered the occurrence of bone fractures as serious complication of OP and actually regarded as outcome. Specific finding of the present study was the overlap among the results of MCW index and BMD in the femoral region of patients, which is inconsistent with the results of two studies by Mansour et al.[13] and Kavitha et al.[19] In other words, the researchers have found a higher significant relationship between the MCW and MCI indices with the bone mineral density of lumbar spine compared to the femur, respectively. In the current study, the ROC curve was used to compare the MCW with two mentioned types of BMD. Roberts et al.[15] stated the value of 0.8 (80%) for the area under ROC curve to identify OP at the femoral neck, which was obtained 0.783 in the present study. The limitation of some studies like the present research is the cross-sectional measurement of changes in panoramic radiography indices, while the changes of these indices in patients with OP should be measured in long-term studies. The results of a meta-analysis conducted by Irani et al.[32] have indicated that OP and osteopenia are common problems in the population over 30 years in Iran and the increasing prevalence of these disorders in recent years will turn them into a public health crisis in Iran in the near future. In many patients, OP may not be diagnosed due to the lack of typical symptoms, unless their disease leads to the complication of bone fracture. Therefore, triage of these patients for referral and appropriate treatment by specialist physicians can prevent the occurrence of the adverse effects of OP, and dentists can play an important role in the triage via doing the routine radiographies.[33]

Conclusion

The present study concludes that the combination of femoral neck BMD and MCW (a quantitative based index) contributes a good assessment of OP. Postmenopausal women with low femoral BMD have thinner mandibular cortex at the mental foramen region and are more susceptible to femoral neck fractures. Hence, dental panoramic radiographs serve as a useful screening tool for postmenopausal osteoporotic patients, give sufficient information to make an early diagnosis and prevent from osteoporotic fractures in elderly women. A larger sample size study is required to confirm the results of this study.
  33 in total

1.  Osteoporosis, osteoporotic fractures, and carotid artery calcification detected on panoramic radiographs in Japanese men and women.

Authors:  Yae Iwamoto; Keiichi Uchida; Noriyuki Sugino; Hiroko Kuroiwa; Yutaka Kitamura; Nobuyuki Udagawa; Atsushi Shinohara; Yukihito Higashi; Akira Taguchi
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol       Date:  2016-02-23

Review 2.  Panoramic measures for oral bone mass in detecting osteoporosis: a systematic review and meta-analysis.

Authors:  E Calciolari; N Donos; J C Park; A Petrie; N Mardas
Journal:  J Dent Res       Date:  2014-11-03       Impact factor: 6.116

3.  Image texture in dental panoramic radiographs as a potential biomarker of osteoporosis.

Authors:  Martin G Roberts; James Graham; Hugh Devlin
Journal:  IEEE Trans Biomed Eng       Date:  2013-04-04       Impact factor: 4.538

4.  Possible links between osteoporosis and periodontal disease.

Authors:  Daniela Cia Penoni; Anna Thereza Thomé Leão; Tatiana Melo Fernandes; Sandra Regina Torres
Journal:  Rev Bras Reumatol       Date:  2016-02-24

5.  Elongated styloid process and atheroma in panoramic radiography and its relationship with systemic osteoporosis and osteopenia.

Authors:  P C A Watanabe; F C Dias; J P M Issa; S A C Monteiro; F J A de Paula; R Tiossi
Journal:  Osteoporos Int       Date:  2009-07-24       Impact factor: 4.507

6.  Panoramic radiomorphometric indices as reliable parameters in predicting osteoporosis.

Authors:  Soad Mansour; Ali S T AlGhamdi; Fawad Javed; Hazem Marzouk; Emad A Khan
Journal:  Am J Med Sci       Date:  2013-12       Impact factor: 2.378

7.  Association between osteoporosis and periodontal disease among postmenopausal Indian women.

Authors:  Yashoda R; Manjunath P Puranik; Amit Shrivastava
Journal:  J Investig Clin Dent       Date:  2016-06-24

Review 8.  Triage screening for osteoporosis in dental clinics using panoramic radiographs.

Authors:  A Taguchi
Journal:  Oral Dis       Date:  2009-08-07       Impact factor: 3.511

Review 9.  Osteoporosis, jawbones and periodontal disease.

Authors:  Rosario Guiglia; Olga Di Fede; Lucio Lo Russo; Delia Sprini; Giovan-Battista Rini; Giuseppina Campisi
Journal:  Med Oral Patol Oral Cir Bucal       Date:  2013-01-01

Review 10.  Essentials of periodontal medicine in preventive medicine.

Authors:  Minkle Gulati; Vishal Anand; Nikil Jain; Bhargavi Anand; Rohit Bahuguna; Vivek Govila; Pavitra Rastogi
Journal:  Int J Prev Med       Date:  2013-09
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  1 in total

1.  Mandibular cortical index in the screening of postmenopausal at low mineral density risk: a systematic review.

Authors:  Luciana Munhoz; Lucas Morita; Aline Yukari Nagai; Julia Moreira; Emiko Saito Arita
Journal:  Dentomaxillofac Radiol       Date:  2021-02-17       Impact factor: 2.419

  1 in total

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