Influence of CBCT metal artifact reduction on vertical radicular fracture detection
- Author:
Mariana Rodrigues OLIVEIRA
1
;
Thiago Oliveira SOUSA
;
Aline Ferreira CAETANO
;
Rogério Ribeiro de PAIVA
;
José VALLADARES-NETO
;
Fernanda Paula YAMAMOTO-SILVA
;
Maria Alves GARCIA SILVA
Author Information
- Publication Type:Original Article
- From:Imaging Science in Dentistry 2021;51(1):55-62
- CountryRepublic of Korea
- Language:English
-
Abstract:
Purpose:This study evaluated the influence of a metal artifact reduction (MAR) tool in a cone-beam computed tomography (CBCT) device on the diagnosis of vertical root fractures (VRFs) in teeth with different root filling materials.
Materials and Methods:Forty-five extracted human premolars were classified into three subgroups; 1) no filling; 2) gutta-percha; and 3) metallic post. CBCT images were acquired using an Orthopantomograph 300 unit with and without a MAR tool. Subsequently, the same teeth were fractured, and new CBCT scans were obtained with and without MAR. Two oral radiologists evaluated the images regarding the presence or absence of VRF. Receiver operating characteristic (ROC) curves and diagnostic tests were performed.
Results:The overall area under the curve values were 0.695 for CBCT with MAR and 0.789 for CBCT without MAR. The MAR tool negatively influenced the overall diagnosis of VRFs in all tested subgroups, with lower accuracy (0.45–0.72), sensitivity (0.6–0.67), and specificity (0.23–0.8) than were found for the images without MAR. In the latter group, the accuracy, sensitivity, and specificity values were 0.68–0.77, 0.67–083, and 0.53–087, respectively. However, no significant difference was found between images with and without MAR for the no filling and gutta-percha subgroups (P>0.05). In the metallic post subgroup, CBCT showed a significant difference according to MAR use (P<0.05).
Conclusion:The OP 300 MAR tool negatively influenced the detection of VRFs in teeth with no root canal filling, gutta-percha, or metallic posts. Teeth with metallic posts suffered the most from the negative impact of MAR.
