Correlation Between Clinical and Radiographic Evaluation Using Custom-made Newly Developed Software Program as A Guide for Accurate Diagnosis of Periodontal Diseases

Document Type : Original Article

Authors

1 Assistant Lecturer of Oral Medicine, Periodontology, Oral Diagnosis and Dental Radiology Department., Faculty of Dental Medicine for Girls, Al-Azhar University, Cairo, Egypt

2 Professor of Oral Medicine, Periodontology, Oral Diagnosis and Dental Radiology, Head of Oral Medicine, Periodontology, Oral Diagnosis and Dental Radiology Department, Faculty of Dental Medicine for Girls, Al-Azhar University, Cairo, Egypt.

3 Professor of Oral Medicine, Periodontology, Oral Diagnosis and Dental Radiology, Al-Azhar University, Cairo, Egypt.

Abstract

Purpose: to correlate between clinical and radiographic findings using custom– made newly developed software program that guide clinicians, for accurate diagnosis. This is based on clinical and radiographic data from 3D volumetric rendering of cone beam computed tomography. This has been done based on the new classification of periodontal diseases (of 2018). Materials and methods: A randomized clinical study was performed on hundred and fifty patients with periodontal diseases of both gender with age range (30-60) years old. Periodontal clinical parameters were taken. Radiographic analysis using CBCT and 3D volumetric rendering was done. Results: There is a moderate positive correlation between Clinical data (clinical attachment loss CAL and probing depth PD) and linear measurements (Mesial and distal bone loss). Moreover, there was positive correlation between Clinical data (CAL and Max PD) and volumetric measurements (Mesial and distal bone loss area) and between linear measurements (mesial and distal bone loss) and volumetric measurements (mesial and distal bone loss area). This correlation was statistically highly significant at the 0.01 level (P0.01 > & confidence 99 %(. Conclusion: There is moderate positive correlation between clinical and radiographic data that is statistically highly significant at the 0.01 level (P0.01 > & confidence 99 %).

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Volume 10, Issue 2
Issue2 April- Oral Medicine & Surgical Sciences issue (Oral Medicine, Oral & Maxillofacial Surgery, Oral Pathology, Oral Biology)
April 2023
Pages 461-469