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Factors Affecting Radiation Dose in Computed Tomography Angiograms for Pulmonary Embolism: A Retrospective Cohort Study.

Authors :
Nagpal, Prashant
Priya, Sarv
Eskandari, Ali
Mullan, Aidan
Aggarwal, Tanya
Narayanasamy, Sabarish
Parashar, Kamesh
Bhat, Ambarish P.
Sieren, Jessica C.
Source :
Journal of Clinical Imaging Science. Nov2020, Vol. 10, p1-8. 8p.
Publication Year :
2020

Abstract

Objectives: Computed tomography pulmonary angiogram (CTPA) is one of the most commonly ordered and frequently overused tests. The purpose of this study was to evaluate the mean radiation dose to patients getting CTPA and to identify factors that are associated with higher dose. Material and Methods: This institutionally approved retrospective study included all patients who had a CTPA to rule out acute pulmonary embolism between 2016 and 2018 in a tertiary care center. Patient data (age, sex, body mass index [BMI], and patient location), CT scanner type, image reconstruction methodology, and radiation dose parameters (dose-length product [DLP]) were recorded. Effective dose estimates were obtained by multiplying DLP by conversion coefficient (0.014 mSv·mGy-1·cm-1). Multivariate logistic regression analysis was performed to determine the factors affecting the radiation dose. Results: There were 2342 patients (1099 men and 1243 women) with a mean age of 58.1 years (range 0.2-104.4 years) and BMI of 31.3 kg/m² (range 12-91.5 kg/m²). The mean effective radiation dose was 5.512 mSv (median - 4.27 mSv; range 0.1-43.0 mSv). Patient factors, including BMI >25 kg/m², male sex, age >18 years, and intensive care unit (ICU) location, were associated with significantly higher dose (P < 0.05). CT scanning using third generation dual-source scanner with model-based iterative reconstruction (IR) had significantly lower dose (mean: 4.90 mSv) versus single-source (64-slice) scanner with filtered back projection (mean: 9.29 mSv, P < 0.001). Conclusion: Patients with high BMI and ICU referrals are associated with high CT radiation dose. They are most likely to benefit by scanning on newer generation scanner using advance model-based IR techniques. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21567514
Volume :
10
Database :
Academic Search Index
Journal :
Journal of Clinical Imaging Science
Publication Type :
Academic Journal
Accession number :
147799862
Full Text :
https://doi.org/10.25259/JCIS_168_2020