OPTIMIZATION OF LUNG CT PROTOCOL FOR THE DIAGNOSTIC EVALUATION OF COVID-19 LUNG DISEASE

Author:

Hosseini Nasab Seyed Mohammad Bagher1ORCID,Deevband Mohammad Reza2,Rahimi Roghaye3,Nasiri Saeed4,Ahangaran Mohammad Reza5,Morshedi Mina1

Affiliation:

1. Radiology Department, Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran

2. Department of Medical Physics and Biomedical engineering, Faculty of Medicine, Shahid Beheshti University of Medical Sciences and Health Services, Tehran, Iran

3. Radiology Department, Loghman Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran

4. Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran

5. Radiology Department, Nikan Hospital, Tehran, Iran

Abstract

Abstract This study intends to evaluate the different lung CT scan protocols used for the diagnostic evaluation of COVID-19-induced lung disease in Iranian imaging centers in terms of radiation dose and image quality. After data collecting, subjective image quality, radiation dose and objective image quality such as noise, SNR and CNR were assessed. Statistically significant differences in effective dose and image quality were evident among different lung CT protocols. Lowest and highest effective dose was1.31 ± 0.53 mSv related to a protocol with activated AEC (reference mAs = 20) and 6.15 ± 0.57 mSv related to a protocol with Fixed mAs (mAs = 100), respectively. A protocol with enabled tube current modulation with 70 mAs as a reference mAs, and protocol with 20 mAs and enabled AEC had the best and lowest image quality, respectively. To optimize the scan parameters, AEC must be used, and a range of tube currents (between 20 and 50 mAs) can produce acceptable images in terms of diagnostic quality and radiation dose for the diagnosis of COVID-19-induced lung disease.

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health,Radiology Nuclear Medicine and imaging,General Medicine,Radiation,Radiological and Ultrasound Technology

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