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Novel 3-dimensional classification of cervical abrasion using CBCT: A comprehensive analysis
Tarun Kumar Singh1, Ashish J Johnson1, Aakash Gupta1
1Division of Conservative Dentistry and Endodontics Department of Dentistry All India Institute of Medical Sciences, Bathinda, India.
Journal of Oral Biology and Craniofacial Research
|September 16, 2024
Summary
This study introduces a 3D classification for tooth cervical abrasion (CA) using Cone Beam Computed Tomography (CBCT). This method improves diagnosis and treatment planning for this common dental issue.
Area of Science:
- Dentistry
- Radiology
- Dental Imaging
Background:
- Tooth cervical abrasion (CA) is a common non-carious lesion that is difficult to diagnose accurately using traditional periapical radiographs.
- Radiographic interpretation is complicated by overlying bone structures and challenges in assessing lesion extent, bone loss, and pulpal involvement.
Purpose of the Study:
- To develop and present a three-dimensional (3D) descriptive classification system for cervical abrasion lesions.
- To utilize Cone Beam Computed Tomography (CBCT) for a comprehensive assessment of CA.
Main Methods:
- A study involving 50 patients with cervical abrasion was conducted.
- CBCT scans (6x6 cm FOV) were acquired, and lesion data were analyzed using 3D imaging software.
- The classification evaluated lesion height (A), buccolingual dimension (B), circumferential spread (C), and remaining dentine thickness (D) using novel scoring criteria.
Main Results:
- CBCT enables a detailed 3D assessment of cervical abrasion lesions.
- The developed classification system provides a reliable and reproducible method for evaluating CA dimensions.
- Key parameters like lesion height, width, spread, and remaining dentine thickness were systematically classified.
Conclusions:
- Cone Beam Computed Tomography (CBCT) is a valuable tool for classifying tooth cervical abrasion in endodontics.
- This 3D classification enhances diagnostic accuracy, treatment planning, and clinical communication.
- The findings support improved patient outcomes and offer new research directions in managing CA.
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