2019
DOI: 10.1016/j.ejrad.2019.07.031
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Implementation of patient-tailored contrast volumes based on body surface area and heart rate harmonizes contrast enhancement and reduces contrast load in small patients in portal venous phase abdominal CT

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Cited by 7 publications
(11 citation statements)
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“…The distribution of liver CE was substantially the same in both groups. Specifically, the median liver CE was 40 (35)(36)(37)(38)(39)(40)(41)(42)(43)(44)(45)(46) HU in the LBW group and 40 (35)(36)(37)(38)(39)(40)(41)(42)(43)(44) HU in the TBW group, the difference being not significant for either the median (p = 0.41) or the variability (p = 0.23). Distributions of CT value in the three phases and the correspondent CE of the liver and aorta are reported in Table 2; this table also shows the CT value in the venous phase of cava, porta and spleen.…”
Section: Primary and Secondary Endpointsmentioning
confidence: 83%
See 1 more Smart Citation
“…The distribution of liver CE was substantially the same in both groups. Specifically, the median liver CE was 40 (35)(36)(37)(38)(39)(40)(41)(42)(43)(44)(45)(46) HU in the LBW group and 40 (35)(36)(37)(38)(39)(40)(41)(42)(43)(44) HU in the TBW group, the difference being not significant for either the median (p = 0.41) or the variability (p = 0.23). Distributions of CT value in the three phases and the correspondent CE of the liver and aorta are reported in Table 2; this table also shows the CT value in the venous phase of cava, porta and spleen.…”
Section: Primary and Secondary Endpointsmentioning
confidence: 83%
“…Other attempts were made to better personalise ICM dose by considering other indexes, such as body surface area and heart rate [40], but none of the tested parameters demonstrated any significantly better correlation with hepatic parenchymal or aortic enhancement than TBW [28]. It thus appears that liver CE originates from a nonlinear function of several variables, some of them maybe still unknown or not yet evaluated [41].…”
Section: Discussionmentioning
confidence: 99%
“…Image quality and lesion detection in computed tomography (CT) scans of the chest may be improved with the use of contrast media (CM). Traditionally, enhanced CT protocols have used fixed CM doses [ 1 ]; however, personalized CM approaches have been shown to be nearly as effective as personalized approaches to patient care [ 2 , 3 ]. While iodine concentration, injection rate, scan delay, blood pressure and cardiac function can affect contrast enhancement, so too can body composition, which impacts distribution of CM in extracellular spaces due to differences in blood volume and flow [ 4 , 5 ].…”
Section: Introductionmentioning
confidence: 99%
“…While iodine concentration, injection rate, scan delay, blood pressure and cardiac function can affect contrast enhancement, so too can body composition, which impacts distribution of CM in extracellular spaces due to differences in blood volume and flow [ 4 , 5 ]. As a result, new strategies have emerged aiming to customize CM dose to both total body weight (TBW) [ 1 , 6 ] and body composition [ 7 ]. Linear weight-based approaches, however, do not accurately estimate ideal enhancement as they fail to take into consideration patient characteristics, such as body fat percentage (BFP) and muscle mass [ 6 , 8 ].…”
Section: Introductionmentioning
confidence: 99%
“…In the literature, different contrast media protocols have been described to achieve homogenous attenuation between patients [ 1 , 2 ]. Some advocate the use of fixed or semi-fixed protocols [ 5 ], whilst others have advocated the use of personalized protocols based on the total body weight (TBW) [ 1 , 6 , 7 , 8 ], lean body weight (LBW) [ 9 , 10 , 11 , 12 , 13 , 14 , 15 ], percentage of body fat [ 16 ], or body surface area [ 17 , 18 ]. Thus, there is no consensus on what protocol is best to use for what types of patients.…”
Section: Introductionmentioning
confidence: 99%