Evidence map›Paper›PMID 26464600›Full record

ArticleThe open dentistry journal2015

Evaluation of Radiomorphometric Indices in Panoramic Radiograph - A Screening Tool.

Atul Anand Bajoria, Asha Ml, Geetha Kamath, Medha Babshet, Preeti Patil, Piyush Sukhija

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Article in The open dentistry journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

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21citing papers in PubMed
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21 citing papers in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Atul Anand BajoriaDepartment of Oral Medicine and Radiology, Sri Hasanamba Dental College and Hospital, Hassan, Karnataka India.
Asha MlDepartment of Oral Medicine and Radiology, Dr. Shyamala Reddy College of Dental Sciences, Bangalore, India.
Geetha KamathDepartment of Oral Medicine and Radiology, Sri Hasanamba Dental College and Hospital, Hassan, Karnataka India.
Medha BabshetDepartment of Oral Medicine and Radiology, Sri Hasanamba Dental College and Hospital, Hassan, Karnataka India.
Preeti PatilDepartment of Oral Medicine and Radiology, Sri Hasanamba Dental College and Hospital, Hassan, Karnataka India.
Piyush SukhijaDepartment of Oral Medicine and Radiology, Sri Hasanamba Dental College and Hospital, Hassan, Karnataka India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMandibular cortical indices, like the mandibular cortical index (MCI), panoramic mandibular index (PMI), mental index (MI), antegonial index (AI) and gonial index (GI) have been developed to assess and quantify the quality of mandibular bone mass. Aim and Objectives : The aim of this pilot study was to measure the radiomorphometric indices in a digital panoramic radiograph and find the inter-relationship of the indices with age and sex of the patients. Materials and Method : A total of 23 randomly selected patients were included in the study. Panoramic radiograph of each patient was taken and radiomorphometric indices were determined. Results : There was 69.57% agreement between MI and PMI which was significant. Similarly 78.26% agreement was seen between AI and MI which was significant. In contrast 30.43%, 52.17% and 56.52% agreement was observed while comparing GI with PMI, MI and AI respectively. Conclusion : MCI, PMI, AI and MI can be effectively measured on a panoramic radiograph, hence could be used as a screening tool for determining osteoporosis. All indices have a negative correlation with age and a significant difference between the younger and older age groups. All indices were significantly lower in females when compared to males of the same age group.

Indexed as

Panoramic radiographpilot studyradiomorphometric indices

Identifiers

PMID26464600
PMCPMC4598386

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.