研究目的
To assess the effects of object position in the field of view (FOV) and application of a metal artifact reduction (MAR) algorithm on the diagnostic accuracy of cone-beam computed tomography (CBCT) for the detection of vertical root fractures (VRFs).
研究成果
Diagnostic accuracy for detecting vertical root fractures was higher with central positioning of the object in the FOV compared to peripheral positioning, regardless of MAR algorithm application. The MAR algorithm had a more significant effect with central positioning. Observer experience influenced the results, indicating that clinical expertise can moderate the impact of technical parameters. In the presence of metal posts, central positioning significantly improved sensitivity and accuracy.
研究不足
The study is an in vitro experiment, which may not fully replicate clinical conditions. The clinical experience and expertise of the observers could serve as a confounder, potentially affecting the results. The sample size is limited to 60 teeth, and the findings might not be generalizable to all CBCT systems or clinical scenarios.
1：Experimental Design and Method Selection:
An in vitro experimental study was conducted using 60 human single-canal premolars. VRFs were induced in 30 teeth, and teeth were divided into 4 groups based on the presence of VRFs and metal posts. A phantom made of cow rib bone was used to mount the teeth, and CBCT scans were performed with different FOV positions and MAR algorithm settings. Three observers independently evaluated the images for VRF detection.
2：Sample Selection and Data Sources:
Sixty human single-canal premolars extracted for orthodontic purposes were selected, with no root caries, fractures, or severe curvature. Ethical approval was obtained (IR.GUMS.REC.1396.241).
3：241).
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: CBCT system (Planmeca, Helsinki, Finland), Romexis Viewer version 5.2 (Planmeca, Helsinki, Finland), SPSS version 22 (IBM Corporation, Armonk, NY, USA), STATA version 12 (Stata Corporation, Texas, USA), cow rib bone for phantom, metal casting posts, gutta-percha, sodium hypochlorite solution, diamond disc, Peeso reamers, green wax, water for soft tissue simulation.
4：2 (Planmeca, Helsinki, Finland), SPSS version 22 (IBM Corporation, Armonk, NY, USA), STATA version 12 (Stata Corporation, Texas, USA), cow rib bone for phantom, metal casting posts, gutta-percha, sodium hypochlorite solution, diamond disc, Peeso reamers, green wax, water for soft tissue simulation.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: Teeth underwent root canal treatment, VRF induction, and mounting in the phantom. CBCT scans were performed with central and peripheral FOV positions, with and without MAR algorithm enabled. Images were stored and evaluated by three observers using a scoring system for VRF presence.
5：Data Analysis Methods:
Sensitivity, specificity, accuracy, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (LR+), and negative likelihood ratio (LR-) were calculated. Inter-observer agreement was assessed using kappa statistics. Data were analyzed with SPSS and STATA software.
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