2018
DOI: 10.1016/j.ejrad.2018.01.027
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Correlation of size-dependent conversion factor and body-mass-index using size-specific dose estimates formalism in CT examinations

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Cited by 11 publications
(14 citation statements)
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“…As Figure 2 shows, the diameter of the head has only small variations in patients, although the \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$\mathrm{BMI}$\end{document} varies relatively strongly, resulting in weak or no correlation. This observation is also supported by a study by Alikhani et al , who used an exponential relationship to calculate a size-specific \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}${f}_{\mathrm{size}}$\end{document} from \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$\mathrm{BMI}$\end{document} and assumed independence of both values for the head region ( 12 ) . Mehdipour et al have investigated how \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$\mathrm{SSDE}$\end{document} and lateral body diameter correlate.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…As Figure 2 shows, the diameter of the head has only small variations in patients, although the \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$\mathrm{BMI}$\end{document} varies relatively strongly, resulting in weak or no correlation. This observation is also supported by a study by Alikhani et al , who used an exponential relationship to calculate a size-specific \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}${f}_{\mathrm{size}}$\end{document} from \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$\mathrm{BMI}$\end{document} and assumed independence of both values for the head region ( 12 ) . Mehdipour et al have investigated how \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$\mathrm{SSDE}$\end{document} and lateral body diameter correlate.…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, it seems an interesting approach to estimate the \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$\mathrm{SSDE}$\end{document} without information about the water-equivalent diameter of the patient. Although other research groups have already addressed this issue, they have done so with different approaches, most of which did not differentiate by gender or include pediatric patients ( 12–16 ) . Several research groups already addressed the correlation of body mass index ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$\mathrm{BMI}$\end{document} ) and water-equivalent diameter but considered only a specific body region, limited themselves to individual types of CT examination or compared results from different scanners.…”
Section: Introductionmentioning
confidence: 99%
“…Previous studies have shown that the measurement of some patient size metrics, including age, height, body weight, BMI, body circumference, and body diameter, could be integrated into routine clinical practice for dose optimization [ 15 , 26 , 27 ]. As suggested by AAPM, d eff and d w are suitable for quantifying patient size [ 10 , 11 ].…”
Section: Discussionmentioning
confidence: 99%
“…The use of BMI to calculate SSDE has been shown to be a valid alternative to the traditional methods for manual measurement of anterior-posterior and lateral-lateral dimensions using the electronic callipers available on the PACS. A recent study by Babak Alikhani et al [ 15 ] showed that in abdominal CT, the size-dependent conversion factor (f size) closely correlated with patient BMI, indicated by the exponentially decreasing f size values with increasing BMI. The current study echoes these results with the proposition that BMI can act as a surrogate for determining effective body diameter.…”
Section: Discussionmentioning
confidence: 99%