
Proceedings Paper
The feasibility of universal DLP-to-risk conversion coefficients for body CT protocolsFormat | Member Price | Non-Member Price |
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Paper Abstract
The effective dose associated with computed tomography (CT) examinations is often
estimated from dose-length product (DLP) using scanner-independent conversion
coefficients. Such conversion coefficients are available for a small number of
examinations, each covering an entire region of the body (e.g., head, neck, chest,
abdomen and/or pelvis). Similar conversion coefficients, however, do not exist for
examinations that cover a single organ or a sub-region of the body, as in the case of a
multi-phase liver examination. In this study, we extended the DLP-to-effective dose
conversion coefficient (k factor) to a wide range of body CT protocols and derived the
corresponding DLP-to-cancer risk conversion coefficient (q factor). An extended cardiactorso
(XCAT) computational model was used, which represented a reference adult male
patient. A range of body CT protocols used in clinical practice were categorized based on
anatomical regions examined into 10 protocol classes. A validated Monte Carlo program
was used to estimate the organ dose associated with each protocol class. Assuming the
reference model to be 20 years old, effective dose and risk index (an index of the total
risk for cancer incidence) were then calculated and normalized by DLP to obtain the k and q factors. The k and q factors varied across protocol classes; the coefficients of
variation were 28% and 9%, respectively. The small variation exhibited by the q factor
suggested the feasibility of universal q factors for a wide range of body CT protocols.
Paper Details
Date Published: 16 March 2011
PDF: 7 pages
Proc. SPIE 7961, Medical Imaging 2011: Physics of Medical Imaging, 79612A (16 March 2011); doi: 10.1117/12.878616
Published in SPIE Proceedings Vol. 7961:
Medical Imaging 2011: Physics of Medical Imaging
Norbert J. Pelc; Ehsan Samei; Robert M. Nishikawa, Editor(s)
PDF: 7 pages
Proc. SPIE 7961, Medical Imaging 2011: Physics of Medical Imaging, 79612A (16 March 2011); doi: 10.1117/12.878616
Show Author Affiliations
Xiang Li, Duke Univ. (United States)
Ehsan Samei, Duke Univ. (United States)
W. Paul Segars, Duke Univ. (United States)
Ehsan Samei, Duke Univ. (United States)
W. Paul Segars, Duke Univ. (United States)
Published in SPIE Proceedings Vol. 7961:
Medical Imaging 2011: Physics of Medical Imaging
Norbert J. Pelc; Ehsan Samei; Robert M. Nishikawa, Editor(s)
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