AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Moghadam MA, Reyhani Z, Shokrollahi M, Faghih Zadeh S. Evaluation of mandibular cortical indexes in digital panoramic radiography. Eurasia J Biosci. 2020;14(1), 43-48.

APA 6th edition
In-text citation: (Moghadam et al., 2020)
Reference: Moghadam, M. A., Reyhani, Z., Shokrollahi, M., & Faghih Zadeh, S. (2020). Evaluation of mandibular cortical indexes in digital panoramic radiography. Eurasian Journal of Biosciences, 14(1), 43-48.

Chicago
In-text citation: (Moghadam et al., 2020)
Reference: Moghadam, Mohammad Ali, Zohreh Reyhani, Marzie Shokrollahi, and Soghrat Faghih Zadeh. "Evaluation of mandibular cortical indexes in digital panoramic radiography". Eurasian Journal of Biosciences 2020 14 no. 1 (2020): 43-48.

Harvard
In-text citation: (Moghadam et al., 2020)
Reference: Moghadam, M. A., Reyhani, Z., Shokrollahi, M., and Faghih Zadeh, S. (2020). Evaluation of mandibular cortical indexes in digital panoramic radiography. Eurasian Journal of Biosciences, 14(1), pp. 43-48.

MLA
In-text citation: (Moghadam et al., 2020)
Reference: Moghadam, Mohammad Ali et al. "Evaluation of mandibular cortical indexes in digital panoramic radiography". Eurasian Journal of Biosciences, vol. 14, no. 1, 2020, pp. 43-48.

Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Moghadam MA, Reyhani Z, Shokrollahi M, Faghih Zadeh S. Evaluation of mandibular cortical indexes in digital panoramic radiography. Eurasia J Biosci. 2020;14(1):43-8.

Abstract

Introduction: Since radiography plays an important role in the early detection of osteoporosis in patients, we decided to conduct a study to evaluate mandibular cortical indexes in digital panoramic radiography. Material and method: This descriptive cross-sectional study was performed randomly on 321 patients aged 20-50 years requiring panoramic radiography referring to a private oral and maxillofacial radiology center in Zanjan in 1398. Only 319 patients (137 males and 182 females) remained by the end of the study divided into three groups of 20-30, 31-40 and 41-50. Radiomorphologic and radiomorphometric indices of GI, MI, PMI and MCI were evaluated. Data were then analyzed using test.t, Pearson and Spearman correlation coefficients. Finally, the data were analyzed using SPSS version 21. Results: The results of this study showed that MIC has a direct relationship with age and sex and this relationship is clinically relevant. MI was inversely correlated with age but was significantly correlated with sex but was not clinically significant. GI was inversely correlated with age and significantly correlated with sex. PMI was inversely correlated with age and has a significant relationship with sex, but it was not clinically significant despite its significance. Discussion and conclusion: The results of this study showed the effective role of age and sex variables on radiomorphometric indices and supported the finding that these variables could be useful in identifying osteoporotic conditions.

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