Optimization of Contrast Material Dose for Abdominal Multi-Detector Row CT: Predicting Patient Lean Body Weight by Using Preliminary Transverse CT Images

DOI: 10.4236/act.2014.31001   PDF   HTML     4,608 Downloads   6,878 Views   Citations


Estimated LBW could be used to determine the contrast material dose and rate during MDCT. The aim of this study is to test the accuracy of a technique for estimation of lean body weight (LBW) from a single multi-detector row computed tomographic (MDCT) abdominal image, using a bioelectrical body composition analyzer scale as the reference standard. CT images of 21 patients with previously measured LBW (mLBW) were processed using computer-assisted, vendor-specific software (Advantage Windows 4.2; GE Healthcare, Inc). For each transverse image, a fat-fraction was automatically measured as the number of fat pixels (-200 to -50 HU) divided by the total number of pixels having an attenuation value ≥-200 HU. Estimated LBW (eLBW) of five single contiguous sections was calculated in each of three abdominal regions (upper abdomen, mid abdomen and pelvis) by multiplying TBW by (1 – fat-fraction). Bland-Altman plot with limits of agreement was used to assess agreement between mLBW and eLBW. The mean mLBW for all patients was 56 kg (range, 39 - 75 kg). Mean differences and limits of agreement between mLBW and eLBW measurements for the upper abdomen, mid abdomen and pelvis reported were -8.9 kg (-25.6 kg, +7.5 kg), -10.6 kg (-27.7 kg, +6.4 kg), and +0.5 kg (-12.8 kg, +13.8 kg) respectively. eLBW deriving directly from a transverse CT image of the pelvis can accurately predict mLBW.

Share and Cite:

Guerrisi, A. , Marin, D. , Barnhart, H. , Ho, L. , Toth, T. , Catalano, C. and Nelson, R. (2014) Optimization of Contrast Material Dose for Abdominal Multi-Detector Row CT: Predicting Patient Lean Body Weight by Using Preliminary Transverse CT Images. Advances in Computed Tomography, 3, 1-10. doi: 10.4236/act.2014.31001.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Kondo, H., Kanematsu, M., Goshima, S., et al. (2008) Abdominal Multidetector CT in Patients with Varying Body Fat Percentages: Estimation of Optimal Contrast Material Dose. Radiology, 249, 872-877.
[2] Ho, L.M., Nelson, R.C. and Delong, D.M. (2007) Determining Contrast Material Dose and Rate on Basis of Lean Body Weight: Does This Strategyimprove Patient-to-Patient Uniformity of Hepatic Enhancement during Multi-Detector Row CT? Radiology, 243, 431-437. http://dx.doi.org/10.1148/radiol.2432060390
[3] Yanaga, Y., Awai, K., Nakaura, T., et al. (2009) Effect of Contrast Injection Protocols with Dose Adjusted to the Estimated Lean Patient Body Weight on Aortic Enhancementat CT Angiography. American Journal of Roentgenology, 192, 1071-1078. http://dx.doi.org/10.2214/AJR.08.1407
[4] Kondo, H., Kanematsu, M., Goshima, S., Tomita, Y., Kim, M.J., Moriyama, N., et al. (2010) Body Size Indexes for Optimizing Iodine Dose for Aortic and Hepatic Enhancement at Multidetector CT: Comparison of Total Body Weight, Lean Body Weight, and Blood Volume. Radiology, 254, 163-169. http://dx.doi.org/10.1148/radiol.09090369
[5] Kondo, H., Kanematsu, M., Goshima, S., Watanabe, H., Onozuka, M., Moriyama, N. and Bae, K.T. (2011) Aortic and Hepatic Enhancement at Multidetector CT: Evaluation of Optimaliodine Dose Determined by Lean Body Weight. European Journal of Radiology, 80, 273-277. http://dx.doi.org/10.1016/j.ejrad.2010.12.009
[6] Mattsson, S. and Thomas, B.J. (2006) Development of Methods for Body Composition Studies. Physics in Medicine and Biology, 51, R203-228. http://dx.doi.org/10.1088/0031-9155/51/13/R13
[7] Burkinshaw, L., Jones, P.R. and Krupowicz, D.W. (1973) Observer Error in Skin Fold Thickness Measurements. Human Biology, 45, 273-279.
[8] Heyward, V.H. (1996) Evaluation of Body Composition. Current Issues. Sports Medicine, 22, 146-156.
[9] Kirkendall, D.T., Grogan, J.W. and Bowers, R.G. (1991) Field Comparison of Body Composition Techniques: Hydrostatic Weighing, Skinfold Thickness, and Bioelectric Impedance. Journal of Orthopaedic & Sports Physical Therapy, 13, 235-239. http://dx.doi.org/10.2519/jospt.1991.13.5.235
[10] Fields, D.A., Goran, M.I. and McCrory, M.A. (2002) Body-Composition Assessment via Air-Displacement Plethysmography in Adults and Children: A Review. The American Journal of Clinical Nutrition, 75, 453-467.
[11] Hosking, J., Metcalf, B.S., Jeffery, A.N., Voss, L.D. and Wilkin, T.J. (2006) Validation of Foot-to-Foot Bioelectrical Impedance Analysis with Dual-Energy X-Ray Absorptiometry in the Assessment of Body Composition in Young Children: the EarlyBirdcohort. British Journal of Nutrition, 96, 1163-1168. http://dx.doi.org/10.1017/BJN20061960
[12] Ritchie, J.D., Miller, C.K. and Smiciklas-Wright, H. (2005) Tanita Foot-to-Foot Bioelectrical Impedance Analysis System Validated in Older Adults. Journal of the American Dietetic Association, 105, 1617-1619.
[13] Lazzer, S., Boirie, Y., Meyer, M. and Vermorel, M. (2003) Evaluation of Two Foot-to-Foot Bioelectrical Impedance Analysers to Assess Body Composition in Overweight and Obese Adolescents. British Journal of Nutrition, 1, 987-992.
[14] Borkan, G.A., Gerzof, S.G., Robbins, A.H., Hults, D.E., Silbert, C.K. and Silbert, J.E. (1982) Assessment of Abdominal Fat Content by Computed Tomography. The American Journal of Clinical Nutrition, 36, 172-177.
[15] Grauer, W.O., Moss, A.A., Cann, C.E. and Goldberg, H.I. (1984) Quantification of Body Fat Distribution in the Abdomen Using Computed Tomography. American Journal of Clinical Nutrition, 39, 631-637.
[16] Zhao, B., Colville, J., Kalaigian, J., et al. (2006) Automated Quantification of Body Fat Distribution on Volumetric Computed Tomography. Journal of Computer Assisted Tomography, 30, 777-783.
[17] Geraghty, E.M. and Boone, J.M. (2003) Determination of Height, Weight, Body Mass Index, and Body Surface Area with a Single Abdominal CT Image. Radiology, 228, 857-863. http://dx.doi.org/10.1148/radiol.2283020095
[18] Bland, J.M. and Altman, D.G. (1999) Measuring Agreement in Method Comparison Studies. Statistical Methods in Medical Research, 8, 135-160.
[19] Tershakovec, A.M., Kuppler, K.M., Zemel, B.S., et al. (2003) Body Composition and Metabolic Factors in Obese Children and Adolescents. International Journal of Obesity, 27, 19-24. http://dx.doi.org/10.1038/sj.ijo.0802185
[20] Baumgartner, R.N., Heymsfield, S.B., Roche, A.F. and Bernardino, M. (1988) Abdominal Composition Quantified by Computed Tomography. American Journal of Clinical Nutrition, 48, 936-945.
[21] Seidell, J.C., Oosterlee, A., Thijssen, M.A.O., et al. (1987) Assessment of Intraabdominal and Subcutaneous Abdominal Fat: Relation between Anthropometry and Computed Tomography. The American Journal of Clinical Nutrition, 45, 7-13.
[22] Power, M.L. and Schulkin, J. (2008) Sex Differences in Fat Storage, Fat Metabolism, and the Health Risks from Obesity: Possible Evolutionary Origins. British Journal of Nutrition, 99, 931-940.
[23] Yoshida, S., Inadera, H., Ishikawa, Y., Shinomiya, M., Shirai, K. and Saito, Y. (1991) Endocrine Disorders and Body Fat Distribution. International Journal of Obesity, 15, 37-40.
[24] Rockall, A.G., Sohaib, S.A., Evans, D., et al. (2003) Computed Tomography Assessment of Fat Distribution in Male and Female Patients with Cushing’s Syndrome. European Journal of Endocrinology, 149, 561-567.

comments powered by Disqus

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.