| Literature DB >> 29492175 |
Nabil El Sahili1, Ibrahim Nasseh2, Antoine Berberi3, Sandra David-Tchouda3,4, Sophie Thoret5, Thomas Fortin6,7.
Abstract
OBJECTIVES: Cone-Beam Computed Tomography (CBCT) produces vital information required for the accurate and prudent placement of dental implants. Lack of standardization between CBCT machines may result in unsafe patient exposure to harmful radiation; higher doses are not necessarily associated with improved image quality. AIM: The study aimed to assess the influence of low- and high-dose milliamperage settings on CBCT images for objective and subjective implant planning.Entities:
Keywords: Cone-beam computed tomography; Hemi Maxillary segments (HM); Image quality; Implant-placement planning; Posterior mandibular implant; Radiation dose alteration
Year: 2018 PMID: 29492175 PMCID: PMC5814949 DOI: 10.2174/1874210601812010094
Source DB: PubMed Journal: Open Dent J ISSN: 1874-2106
Questions answered by observer panel with respect to CBCT image cuts.
| No. | Question | Possible Answers |
|---|---|---|
| Q1 | The visibility of the top of the alveolar crest is: | Very good / good / poor / very poor |
| Q2 | The visibility of the buccal and palatal cortical plates is: | Very good / good / poor / very poor |
| Q3 | The estimated bone density at the implant site is: | D1/ D2/ D3/ D4 |
| Q4 | For the purpose of implant placement, the quality of the image appears to you as: | Very sufficient/ sufficient/ insufficient/ very insufficient |
| Q5* | The visibility of the mandibular canal is | Very good / good / poor / very poor |
| Q6* | Do you need to use the sagittal or panoramic slices/cuts to identify the mandibular canal? | Yes/ No |
| Q7* | Have you tried to move forward and back in panoramic slices/cuts to locate the mandibular canal? | Yes/ No |
* Questions 5, 6 and 7 were answered only for images of the posterior mandible
The medians of the differentials between low dose and high dose for quantitative variables.
| Median of | M1 | M2 | M3 | M4 |
|---|---|---|---|---|
| S1 | -0.05 [-15; 11.8] | -0.25 [-1.7; 0.9] | -0.3 [-2.5; 0.6] | 0 [-0.5; 1.6] |
| 0.989 | 0.057 | 0.107 | 0.475 | |
| S2 | -0.05 [-5.5; 0.9] | -0.1 [-3; 1] | 0.05 [-0.6; 0.7] | 0 [-0.3; 0.4] |
| 0.106 | 0.096 | 0.974 | 0.551 | |
| S3 | -0.1 [-5.3; 2.3] | 0.1 [-1.7; 1] | -0.2 [-1.1; 0] | -0.1 [-0.6; 0.9] |
| 0.920 | 0.087 | 0.409 | 0.906 | |
| S4 | -0.1 [-4.9; 1.2] | 0 [-1.1; 1.5] | -0.05 [-1.1; 0.3] | 0.1 [-3.5; 0.8] |
| 0.085 | 0.396 | 0.305 | 0.528 | |
| S5 | 0 [-5.1; 1.3] | -0.5 [-1.1; 1.3] | -0.15 [-0.9; 0.9] | -0.2 [-2 ; 0.4] |
| 0.510 | 0.456 | 0.430 | 0.077 |
Quantification of degree of concordance (intra-observer variability).
| Concordance | Q4 | Q5 |
|---|---|---|
| S1 | 91.67% | 75% |
| 1.000 | 0.222 | |
| S2 | 61.11% | 41.67% |
| 0.159 | 1.000 | |
| S3 | 77.8% | 58.33% |
| 0.488 | 0.470 | |
| S4 | 91.67% | 50% |
| 1.000 | 1.000 | |
| S5 | 58.33% | 66.7% |
| 0.47 | 0.545 |
Concordance and chi test for qualitative variables.
| Concordance | Q1 | Q2 | Q3 | Q6 | Q7 |
|---|---|---|---|---|---|
| S1 | 83.3% | 94.4% | 66.7% | 83.3% | 50.0% |
| 0.370 | 0.110 | 0.049 | 1.000 | 0.509 | |
| S2 | 83.3% | 83.3% | 94.4% | 58.3% | 58.3% |
| 0.310 | 0.044 | <0.001 | 0.470 | 0.470 | |
| S3 | 83.3% | 69.4% | 86.1% | 58.3% | 58.3% |
| 1.000 | 0.064 | <0.001 | 0.576 | 0.576 | |
| S4 | 66.7% | 77.8% | 75.0% | 58.3 | 50.0% |
| 1.000 | 0.207 | 0.020 | 0.470 | 1.000 | |
| S5 | 72.2% | 80.6% | 72.2% | 83.3% | 83.3% |
| 0.014 | 0.001 | 0.017 | 0.061 | 0.061 |
Kappa coefficient inter- observers for Q4 and Q5 issues
|
|
|
|
|---|---|---|
| Lower dose | 7.1% | 28.7% |
| High dose | 33.4% | 71.8% |