%0 Journal Article
%T Optimization of Contrast Material Dose for Abdominal Multi-Detector Row CT: Predicting Patient Lean Body Weight by Using Preliminary Transverse CT Images
%A Antonino Guerrisi
%A Daniele Marin
%A Huiman Barnhart
%A Lisa Ho
%A Thomas L. Toth
%A Carlo Catalano
%A Rendon C. Nelson
%J Advances in Computed Tomography
%P 1-10
%@ 2169-2483
%D 2014
%I Scientific Research Publishing
%R 10.4236/act.2014.31001
%X <p class=\"MsoNormal\" style=\"text-align:justify;\">
	<span lang=\"EN-US\" style=\"font-family:Verdana;\">Estimated
LBW could be used to determine the contrast material dose and rate during MDCT.</span><span lang=\"EN-GB\" style=\"font-family:Verdana;\"> 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 (-</span><span lang=\"EN-GB\" style=\"font-family:Verdana;\">200 to -</span><span lang=\"EN-GB\" style=\"font-family:Verdana;\">50 HU) divided by the
total number of pixels having an attenuation value ¡Ý-</span><span lang=\"EN-GB\" style=\"font-family:Verdana;\">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 ¨C 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 -</span><span lang=\"EN-GB\" style=\"font-family:Verdana;\">8.9 kg (-</span><span lang=\"EN-US\" style=\"font-family:Verdana;\">25.6 kg, +7.5 kg</span><span lang=\"EN-GB\" style=\"font-family:Verdana;\">), -</span><span lang=\"EN-GB\" style=\"font-family:Verdana;\">10.6 kg (-</span><span lang=\"EN-US\" style=\"font-family:Verdana;\">27.7 kg, +6.4 kg</span><span lang=\"EN-GB\" style=\"font-family:Verdana;\">), and
+0.5 kg (-</span><span lang=\"EN-US\" style=\"font-family:Verdana;\">12.8 kg,
+13.8</span><span lang=\"EN-GB\" style=\"font-family:Verdana;\"> kg) respectively. eLBW deriving directly from a transverse CT image of
the pelvis can accurately predict mLBW</span><span lang=\"EN-US\"><span style=\"font-family:Verdana;\">.</span></span> 
</p>
%K Lean Body Weight
%K Multi-Detector CT
%K Contrast Dose
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=44326