What is it about?
Uncertainty of Measurement is a parameter associated with the result of the study, characterizing the entire range of values that could reasonably be attributed to this indicator. It helps to unify the process of processing medical data, analyze this data, and obtain new important information based on the findings. The anatomical structure of the paranasal sinuses was studied using spiral computed tomography. Today, computed tomography is the “gold standard” for diagnosing rhinosinusitis. The purpose of our study was the Analysis of Uncertainty of Measurement Results for Anatomical Images obtained in the SCT study of PNSs in physiological conditions and in varying degrees of severity of pathological processes. The study comprises the assessment of Spiral computed tomograms (coronary sections). To measure uncertainty, the maximum and minimum value of each indicator was calculated. Thus, in order to optimize the study of the anatomy of the paranasal sinuses according to the spiral computed tomography findings, it is reasonable to apply the method of calculating uncertainty.
Featured Image
Why is it important?
One of the methods for assessing the morphological structure of PNSs walls is the study of its density. However, when studying it, difficulties often arise in interpreting the obtained data due to the large variability of the obtained values and the widespread of their indicators. In order to optimize the information content of the obtained data in medicine, the method of calculating the uncertainty is used.
Perspectives
Even slight changes in the sinus inevitably lead to a decrease in bone density, which is potentially dangerous in the surgical treatment of rhinosinusitis in terms of the development of intra- and postoperative complications. It can be assumed that improper loading during dental implantation, in this case, will also lead to complications.
Vitaliy Gargin
Kharkiv National Medical University
Read the Original
This page is a summary of: Uncertainty of Measurement Results for Anatomical Structures of Paranasal Sinuses, June 2019, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/meco.2019.8760032.
You can read the full text:
Contributors
The following have contributed to this page







