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Examination and imaging procedures in pneumology from the point of view of a radiographer
VÁVROVÁ, Hedvika
The Bachelor thesis discusses whether SARS-CoV-2 significantly affected the number of lung X-ray and CT scans. The aims of this thesis were "Statistical processing of lung X-ray and CT lung examination data in the X-ray department of the Hospital České Budějovice, a.s. in terms of time distribution over a period of 5 years." and "Analysis of examination and imaging methods in pneumology." In the theoretical part, an overview of the anatomy of the respiratory system was given. Furthermore, SARS-CoV-2 and its effect on the lungs were described. Finally, examination and imaging techniques in pneumology were explained. When the anatomy of the respiratory system was compared with the examination and imaging procedures, objective 2 was found to have been met. The aim of the research part was the statistical processing of the data of lung X-ray scans and lung CT examinations in the X-ray department of the Hospital České Budějovice, a.s. over a period of 5 years. Also, the research focused on an analysis of examination and imaging methods in pneumology. There were three initial hypotheses as follows: "Monthly numbers of X-ray examinations will have a theoretical distribution close to the normal distribution", "Monthly numbers of CT examinations will have a theoretical distribution close to the normal distribution", "Monthly numbers of X-ray and CT examinations are positively correlated". Statistical investigation was used to confirm or refute the stated hypotheses using basic methods of descriptive and mathematical statistics. Based on the results, hypotheses H1 and H2 were confirmed, while hypothesis H3 can be confirmed with time. As a result, objective 1 can be considered fulfilled. The insights gained from this work may be of assistance to follow-up studies. Further research could investigate SARS-CoV-2 and its impact on lung imaging and testing in 2021 and 2022. X-ray and CT scans of the lung in these years would likely fail to test for normality.
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