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Contrast Enhancement in Cardiovascular MDCT: Effect of Body Weight, Height, Body Surface Area, Body Mass Index, and Obesity

Kyongtae T. Bae1, Brian A. Seeck2, Charles F. Hildebolt3, Cheng Tao1, Fang Zhu1, Masayuki Kanematsu4 and Pamela K. Woodard3

1 Department of Radiology, University of Pittsburgh School of Medicine, 200 Lothrop St., Ste. 4895, Pittsburgh, PA 15213.
2 Division of Cardiology, Washington University School of Medicine, St. Louis, MO.
3 Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO.
4 Department of Radiology, Gifu University School of Medicine, Gifu, Japan.


Figure 1
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Fig. 1A Transverse CT images are shown for patients having three body sizes in whom different degrees of aortic attenuation were seen (image display window width, 800 H; center, 200 H). 59-year-old woman weighing 55.8 kg and having body mass index (BMI) of 21.1 and body surface area (BSA) of 1.59 m2 (aortic attenuation, 469 H).

 

Figure 2
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Fig. 1B Transverse CT images are shown for patients having three body sizes in whom different degrees of aortic attenuation were seen (image display window width, 800 H; center, 200 H). 61-year-old man weighing 91.4 kg and having BMI of 30.6 and BSA of 2.09 m2 (aortic attenuation, 379 H).

 

Figure 3
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Fig. 1C Transverse CT images are shown for patients having three body sizes in whom different degrees of aortic attenuation were seen (image display window width, 800 H; center, 200 H). 59-year-old man weighing 154.0 kg and having BMI of 42.4 and BSA of 2.85 m2 (aortic attenuation, 172 H).

 

Figure 4
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Fig. 2 Plot of aortic attenuation (H) versus body weight (kg). Strong inverse correlation existed between aortic attenuation and body weight (r = –0.73, {rho} = –0.74, p < 0.001). This indicates aortic attenuation is reduced in heavier patients. Regression formula (aortic attenuation [H] = 520–2.2 weight [kg]) indicates that 1.0 mL/kg (e.g., 75 mL for a 75-kg patient) of 350 mg I/mL contrast medium is required to achieve aortic attenuation of 355 H. + = low-body mass index (BMI) group (BMI < 30), o = high-BMI group (BMI ≥ 30). Ninety-five percent CIs (dotted fitting lines) are fit to regression line (solid fitting line).

 

Figure 5
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Fig. 3 Plot of aortic attenuation (H) versus height (cm). Moderately strong inverse correlation existed between aortic attenuation and body weight (r = –0.47, p < 0.001). This indicates aortic attenuation is reduced in taller patients. Regression formula (aortic attenuation [H] = 882–3.3 height [cm]) indicates that, for each 10-cm increase in height, there is decrease in enhancement of 33 H in aortic attenuation. + = low-body mass index (BMI) group (BMI < 30), o = high-BMI group (BMI ≥ 30). Ninety-five percent CIs (dotted fitting lines) are fit to regression line (solid fitting line).

 

Figure 6
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Fig. 4 Plot of aortic attenuation (H) versus body mass index (BMI). Relatively strong inverse correlation existed between aortic attenuation and BMI (r = –0.63, {rho} = –0.64, p < 0.001). This indicates aortic attenuation is reduced in patients with higher BMI. Regression formula was aortic attenuation (H) = 529–6.8 BMI (p < 0.001). + = low-BMI group (BMI < 30), o = high-BMI group (BMI ≥ 30). Ninety-five percent CIs (dotted fitting lines) are fit to regression line (solid fitting line).

 

Figure 7
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Fig. 5 Plot of aortic attenuation (H) versus body surface area (BSA) (m2). Strongest inverse correlation (r = –0.74, p < 0.001) existed between aortic attenuation and BSA (estimated with Mosteller formula [42]). This indicates aortic attenuation is reduced as BSA increases. Regression formula was aortic attenuation (H) = 674–171.4 BSA (m2) (p < 0.001). + = low–body mass index (BMI) group (BMI < 30), o = high-BMI group (BMI ≥ 30), Ninety-five percent CIs (dotted fitting lines) are fit to regression line (solid fitting line).

 

Figure 8
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Fig. 6 Ninety-five percent mean diamond plots of aortic attenuation (H) for low- and high-body mass index (BMI) groups. Mean aortic attenuation of low-BMI group (352.6 ± 59.1 H) was significantly higher (p < 0.001) than that of high-BMI group (286.2 ± 55.5 H). + = low-BMI group (BMI < 30), o = high-BMI group (BMI ≥ 30). Horizontal line is grand mean. Heights of diamonds represent 95% CIs and widths of diamonds are proportional to sample sizes.

 

Figure 9
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Fig. 7 Plot of aortic attenuation (H) versus body weight (kg) with bivariate fits for low- and high-body mass index (BMI) groups. Regression formula of aortic attenuation versus body weight was aortic attenuation (H) = 586–3.1 weight (kg) (p < 0.001) for low-BMI group (+, solid fitting line) and aortic attenuation (H) = 485–1.9 weight (kg) (p < 0.001) for high-BMI group (o, dotted fitting line). Regression slope (H/kg) of high-BMI group (1.9 [2.6–1.1, 95% CI]) was less steep than that for low-BMI group (3.1 [4.4–1.8]), but 95% CIs overlap. So that regression lines can be better seen, 95% CIs are not included in figure.

 

Figure 10
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Fig. 8 Plot of aortic attenuation (H) versus body surface area (BSA) (m2) with bivariate fit of low- and high-body mass index (BMI) groups. Regression formulas of aortic attenuation versus BSA were aortic attenuation (H) = 706–187 BSA (m2) (p < 0.001) for low-BMI group (+, solid fitting line) and aortic attenuation (H) = 627–151.0 BSA (m2) (p < 0.001) for high-BMI group (o, dotted fitting line). Note that these two regression lines are more closely approximated than two regression lines in Figure 7. This suggests that discrepancy between high- and low-BMI groups in decline rate of aortic attenuation was less pronounced with BSA than with body weight.

 

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