Patient- and cohort-specific dose and risk estimation for abdominopelvic CT: a study based on 100 patients

Xiaoyu Tian; Xiang Li; W. Paul Segars; Donald P. Frush; Ehsan Samei

doi:10.1117/12.913341

9 March 2012 Patient- and cohort-specific dose and risk estimation for abdominopelvic CT: a study based on 100 patients

Xiaoyu Tian, Xiang Li, W. Paul Segars, Donald P. Frush, Ehsan Samei

Proceedings Volume 8313, Medical Imaging 2012: Physics of Medical Imaging; 83131R (2012) https://doi.org/10.1117/12.913341
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

The purpose of this work was twofold: (a) to estimate patient- and cohort-specific radiation dose and cancer risk index for abdominopelvic computer tomography (CT) scans; (b) to evaluate the effects of patient anatomical characteristics (size, age, and gender) and CT scanner model on dose and risk conversion coefficients. The study included 100 patient models (42 pediatric models, 58 adult models) and multi-detector array CT scanners from two commercial manufacturers (LightSpeed VCT, GE Healthcare; SOMATOM Definition Flash, Siemens Healthcare). A previously-validated Monte Carlo program was used to simulate organ dose for each patient model and each scanner, from which DLP-normalized-effective dose (k factor) and DLP-normalized-risk index values (q factor) were derived. The k factor showed exponential decrease with increasing patient size. For a given gender, q factor showed exponential decrease with both increasing patient size and patient age. The discrepancies in k and q factors across scanners were on average 8% and 15%, respectively. This study demonstrates the feasibility of estimating patient-specific organ dose and cohort-specific effective dose and risk index in abdominopelvic CT requiring only the knowledge of patient size, gender, and age.

Citation Download Citation

Xiaoyu Tian, Xiang Li, W. Paul Segars, Donald P. Frush, and Ehsan Samei "Patient- and cohort-specific dose and risk estimation for abdominopelvic CT: a study based on 100 patients", Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 83131R (9 March 2012); https://doi.org/10.1117/12.913341

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