
The results of approbation of a comprehensive expert assessment of the quality of CT images of the chest obtained on low-dose scanning protocols using iterative reconstruction methods
Author(s) -
Г. В. Беркович,
А. В. Водоватов,
Л. А. Чипига,
Г. Е. Труфанов
Publication year - 2021
Publication title -
lučevaâ diagnostika i terapiâ
Language(s) - English
Resource type - Journals
eISSN - 2079-5351
pISSN - 2079-5343
DOI - 10.22328/2079-5343-2021-12-3-54-71
Subject(s) - medicine , protocol (science) , radiology , image quality , nuclear medicine , medical physics , computed tomography , iterative reconstruction , tomography , computer science , artificial intelligence , pathology , alternative medicine , image (mathematics)
. Сomputed tomography (CT) is associated with high individual patient doses. Hence, the process of optimization in CT examinations by developing low-dose scan protocols is important. Purpose of the study . Clinical approbation of low-dose protocols developed by the authors earlier, selection of the most promising protocol, assessment of the applicability of the developed algorithm for expert assessment of the quality of CT images. Materials and methods . The study was based on the data from 96 patients who underwent cardiac surgery with suspected infection in the lungs or sternal wound infection. CT examinations were performed using standard, low-dose and ultra-low-dose protocols (effective dose 3,5±0,9, 1,7±0,1 and 0,8±0,1 mSv, respectively) using two iterative reconstruction algorithms (IMR and iDose). The quality of the obtained data was assessed by 5 radiologists with more than 5-year experience in chest radiology. Results. In terms of the number of misinterpretations, no significant differences were estimated between the standard and lowdose protocols for all reconstruction methods. The ultra-low-dose protocol was characterized by a significantly higher number of missing lesions compared to other protocols. Conclusion. The developed method of assessment of the CT image quality has proven to be informative and reproducible and can be used to assess new scanning protocols.