Optimization of Ct-Spn Anatomical Image of Coronal Section With Slice Thickness Reconstruction Variations and Increment Reconstruction in Rhinosinusitis Cases Chronic at Rs Balimed
Background: One of the modalities used to diagnose rhinosinusitis is CT Scan. In CT Scan, there are several parameters, namely slice thickness and reconstruction increment.
Objective: aims to determine the optimization of the CT-SPN anatomical image produced with variations in slice thickness and reconstruction
Methods: This type of research is a quantitative study with an experimental approach conducted at Balimed Hospital from July to August 2022.
Results: Friedman test results for the whole anatomy showed a significance p of 0.0001 (p value <0.05) which means Ho is rejected and Ha is accepted which means that there is a significant difference in the anatomical image information of CT Scan of the paranasal sinuses in coronal sections with variations in slice thickness reconstruction and incremental reconstruction in chronic rhinosinusitis. And based on the Wilcoxon test, it also showed that each variation had a p value <0.05, which means that there are differences in anatomical image information for each variation.
Conslusion: The conclusion of this study, based on this study, shows that there are differences in information on the coronal CT-SPN anatomical image with variations in slice thickness and increment reconstruction in cases of chronic rhinosinusitis and variation 2 has the most optimal anatomical image information. Based on the Wilcoxon test, it also shows that each variation has different anatomical image information.
Copyright (c) 2022 Ririn Eri Kastiwi
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International (CC-BY-SA). that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
