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Abstract

Background: Several indices for measuring the thickness of the mandibular cortex using a panoramic radiograph have been developed. Indices enable measurements to assess bone quality (bone mineral density/BMD). This study aims to identify bone quality through mental index (MI), antegonial index (AI), and mandibular cortical index (MCI) measurements using a panoramic radiograph. 

Materials and method: The observational study used a cross-sectional research design. The population was panoramic radiographs of patients in the Radiology installation of the University of Jember Dental Hospital. The samples consisted of 87 panoramic radiographs that met the criteria inclusion: Region of Interest (ROI), i.e., cortical mandibular bone covered in the radiographs, relatively symmetrical right and left radiographs, and minimal distortion. MI and AI measurements used Cliniview 10.2.6 software, while MCI assessment was conducted via observation directly on the ROI. The data were analyzed descriptively.

Result: The results obtained subjects with the MCI C1 value by 80%, C2 by 17%, and C3 by 2.29%. C2 and C3 were only found in the age group of over 35 years and not available in the age group of 18-30 years. The average MI value was 3.57 (normal), and the AI value was 1.46 (normal). Male subjects had MI and AI values higher than females. MI and AI values decreased following the increasing age, and the lowest was at 71. 

Conclusion: The patients’ mandibular inferior cortex in this research assessed using MCI, MI, and AI is mostly normal. Male patients’ MI and AI values were higher than those of females and decreased with increasing age.

 

Keynotes: Mental index, antegonial index, mandibular cortical index, Bone quality, panoramic radiograph

Pages

213-217

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Rights

©2025Supriyadi, Swasthi Prastyarini, Lusi Hidayati, Agus Sumono, Yohana M. Penga, Susi W. Asih

DOI

10.15562/jdmfs.v9i3.1618

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