Correlation of bone quality in radiographic images with clinical bone quality classification.
- Author:
Hyun Woo KIM
1
;
Kyung Hoe HUH
;
Kwan Soo PARK
;
Jeong Hwa KIM
;
Won Jin YI
;
Min Suk HEO
;
Sam Sun LEE
;
Soon Chul CHOI
Author Information
1. Department of Oral and Maxillofacial Radiology, Dental Research Institute, and BK21, College of Dentistry, Seoul National University. hmslsh@snu.ac.kr
- Publication Type:Original Article
- Keywords:
Radiography, Panoramic;
Dental Implant;
Image Processing;
Computer-Assisted, Fractals
- MeSH:
Classification*;
Dental Implants;
Fractals;
Humans;
Radiography, Panoramic;
Sensation
- From:Korean Journal of Oral and Maxillofacial Radiology
2006;36(1):25-32
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
PURPOSE: To investigate the validity of digital image processing on panoramic radiographs in estimating bone quality before endosseous dental implant installation by correlating bone quality in radiographic images with clinical bone quality classification. MATERIALS AND METHODS: An experienced surgeon assessed and classified bone quality for implant sites with tactile sensation at the time of implant placement. Including fractal dimension eighteen morphologic features of trabecular pattern were examined in each anatomical sites on panoramic radiographs. Finally bone quality of 67 implant sites were evaluated in 42 patients. RESULTS: Pearson correlation analysis showed that three morphologic parameters had weak linear negative correlation with clinical bone quality classification showing correlation coefficients of -0.276, -0.280, and - 0.289, respectively (p<0.05). And other three morphologic parameters had obvious linear negative correlation with clinical bone quality classification showing correlation coefficients of -0.346, -0.488, and -0.343 respectively (p<0.05). Fractal dimension also had a linear correlation with clinical bone quality classification with correlation coefficients -0.506 significantly (p<0.05). CONCLUSION: This study suggests that fractal and morphometric analysis using digital panoramic radiographs can be used to evaluate bone quality for implant recipient sites.
