scholarly journals Towards Personalised Contrast Injection: Artificial-Intelligence-Derived Body Composition and Liver Enhancement in Computed Tomography

2021 ◽  
Vol 11 (3) ◽  
pp. 159
Author(s):  
Daan J. de Jong ◽  
Wouter B. Veldhuis ◽  
Frank J. Wessels ◽  
Bob de Vos ◽  
Pim Moeskops ◽  
...  

In contrast-enhanced computed tomography, total body weight adapted contrast injection protocols have proven successful in achieving a homogeneous enhancement of vascular structures and liver parenchyma. However, because solid organs have greater perfusion than adipose tissue, the lean body weight (fat-free mass) rather than the total body weight is theorised to cause even more homogeneous enhancement. We included 102 consecutive patients who underwent a multiphase abdominal computed tomography between March 2016 and October 2019. Patients received contrast media (300 mgI/mL) according to bodyweight categories. Using regions of interest, we measured the Hounsfield unit (HU) increase in liver attenuation from unenhanced to contrast-enhanced computed tomography. Furthermore, subjective image quality was graded using a four-point Likert scale. An artificial intelligence algorithm automatically segmented and determined the body compositions and calculated the percentages of lean body weight. The hepatic enhancements were adjusted for iodine dose and iodine dose per total body weight, as well as percentage lean body weight. The associations between enhancement and total body weight, body mass index, and lean body weight were analysed using linear regression. Patients had a median age of 68 years (IQR: 58–74), a total body weight of 81 kg (IQR: 73–90), a body mass index of 26 kg/m2 (SD: ±4.2), and a lean body weight percentage of 50% (IQR: 36–55). Mean liver enhancements in the portal venous phase were 61 ± 12 HU (≤70 kg), 53 ± 10 HU (70–90 kg), and 53 ± 7 HU (≥90 kg). The majority (93%) of scans were rated as good or excellent. Regression analysis showed significant correlations between liver enhancement corrected for injected total iodine and total body weight (r = 0.53; p < 0.001) and between liver enhancement corrected for lean body weight and the percentage of lean body weight (r = 0.73; p < 0.001). Most benefits from personalising iodine injection using %LBW additive to total body weight would be achieved in patients under 90 kg. Liver enhancement is more strongly associated with the percentage of lean body weight than with the total body weight or body mass index. The observed variation in liver enhancement might be reduced by a personalised injection based on the artificial-intelligence-determined percentage of lean body weight.

2016 ◽  
Vol 48 (6) ◽  
pp. 633-640 ◽  
Author(s):  
Maya Hites ◽  
Guillaume Deprez ◽  
Fleur Wolff ◽  
Brigitte Ickx ◽  
Anita Verleije ◽  
...  

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Moreno Zanardo ◽  
Fabio Martino Doniselli ◽  
Anastassia Esseridou ◽  
Massimiliano Agrò ◽  
Nicol Antonina Rita Panarisi ◽  
...  

Abstract Objectives Iodinated contrast media (ICM) could be more appropriately dosed on patient lean body weight (LBW) than on total body weight (TBW). Methods After Ethics Committee approval, trial registration NCT03384979, patients aged ≥ 18 years scheduled for multiphasic abdominal CT were randomised for ICM dose to LBW group (0.63 gI/kg of LBW) or TBW group (0.44 gI/kg of TBW). Abdominal 64-row CT was performed using 120 kVp, 100–200 mAs, rotation time 0.5 s, pitch 1, Iopamidol (370 mgI/mL), and flow rate 3 mL/s. Levene, Mann–Whitney U, and χ2 tests were used. The primary endpoint was liver contrast enhancement (LCE). Results Of 335 enrolled patients, 17 were screening failures; 44 dropped out after randomisation; 274 patients were analysed (133 LBW group, 141 TBW group). The median age of LBW group (66 years) was slightly lower than that of TBW group (70 years). Although the median ICM-injected volume was comparable between groups, its variability was larger in the former (interquartile range 27 mL versus 21 mL, p = 0.01). The same was for unenhanced liver density (IQR 10 versus 7 HU) (p = 0.02). Median LCE was 40 (35–46) HU in the LBW group and 40 (35–44) HU in the TBW group, without significant difference for median (p = 0.41) and variability (p = 0.23). Suboptimal LCE (< 40 HU) was found in 64/133 (48%) patients in the LBW group and 69/141 (49%) in the TBW group, but no examination needed repeating. Conclusions The calculation of the ICM volume to be administered for abdominal CT based on the LBW does not imply a more consistent LCE.


2002 ◽  
Vol 57 (3) ◽  
pp. 107-114 ◽  
Author(s):  
Pauline L. Martin ◽  
Joan Lane ◽  
Louise Pouliot ◽  
Malcolm Gains ◽  
Rudolph Stejskal ◽  
...  

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Alaa Sabry ◽  
Amir Basiony ◽  
Mohamed Kamal

Abstract Background and Aims Obesity is a potent risk factor for the development of kidney disease. The prevalence of abdominal obesity in Egyptians based upon the European cut-off points was 30.2% for men and 70.9% for women. To detect the best formula for estimation of glomerular filtration rates in morbidly obese individuals. Method: In this prospective study 82 morbidly obese patients were included, Age: 15 to 65 years, Morbidly obese patient (BMI &gt; 40 Kg/m2), Creatinine clearance calculated from a 24-h urine was done, Estimated glomerular filtration rate (eGFR): It was assessed to be correlated with creatinine clearance and detect the most suitable formula for morbidly obese patients. Cockcroft-Gault formula:  Cockcroft-Gault formula (for total body weight): ockcroft-Gault formula (for adjusted body weight): Cockcroft-Gault formula (for lean body weight), MDRD-eGFR (Modification of Diet in Renal Disease equation) (Shahbaz & Gupta, 2019), CKD-epidemiology (CKD-EPI): (Levey, et al, 2009) Results Demogrphic criteria of the studdied patients Conclusion: The equations that had the nearest values to creatinine clearance were CG-TBW-GFR and CGAjBW- GFR, both of them had a moderate reliability with more agreement for the CG-TBW-GFR equation . The CG-TBW-GFR formula was the most reliable one to measure GFR, followed by the CG-AjBW-GFR formula, while the CG-IBW, CG-LBW, MDRD-GFR and CKD-EPI-GFR formulae were not reliable at all .


2020 ◽  
Vol 10 ◽  
pp. 100131
Author(s):  
Fernanda Corrêa Devito ◽  
Geni Cristina Fonseca Patricio ◽  
Patrícia Bonifácio Flôr ◽  
Thiago Henrique Annibale Vendramini ◽  
Andressa Rodrigues Amaral ◽  
...  

1963 ◽  
Vol 41 (1) ◽  
pp. 2225-2235
Author(s):  
A. DesMarais ◽  
P. A. Lachance

The well known reduction in growth rate of cold-acclimated rats has been shown to depend on a decreased gain in total body fat, without change in the gain in lean body weight. This has been observed in rats fed Lab Chow or a high-fat diet ad libitum. In those groups fed a high-carbohydrate diet ad libitum or calorie-restricted high-fat or high-carbohydrate diets, exposure to cold had no effect on the gain in neither total body weight nor lean body weight, which were already reduced by the diet; in those animals, the significant decrease in the gain in total body fat upon exposure to cold was compensated by a slight but unsignificant increase in the gain in lean body weight, so that differences in gain in total body weight were not significant.


2015 ◽  
Vol 33 (3_suppl) ◽  
pp. 219-219
Author(s):  
Toru Aoyama ◽  
Takaki Yoshikawa ◽  
Taiichi Kawabe ◽  
Hirohito Fujikawa ◽  
Tsutomu Hayashi ◽  
...  

219 Background: Postoperative changes in body weight and composition during first 1 month after gastrectomy remained unclear. Methods: The patients who underwent gastrectomy for gastric cancer between May 2010 and October 2013 were examined. Body weight and composition were evaluated by bioelectrical impedance analyzer within 1 week before surgery (first measurement), at 1 week after surgery (second measurement), and at 1 month after surgery (third measurement). The changes of the early period were defined as the differences until the second measurement, while those of the late period as the differences from the second to the third measurement. Results: Two-hundred forty four patients were selected for this study. Total body weight loss (BWL) within 1 month was -3.4 kg and the rate of body weight at 1 month to the preoperative body weight was 94.1%. BWL was significantly greater in the early period rather than that of the late period (-2.1 kg vs -1.2 kg, p<0.001). In the early period, loss of lean body mass was significantly greater than loss of fat mass (-1.5 kg vs -0.6 kg, p<0.001). The same trend was observed regardless of type of gastrectomy and surgical approach. Conclusions: Loss of lean body mass within 1 week was a major determinant for total body weight loss at 1 month. To maintain lean body mass within 1 week and total body weight at 1 month, future trial should be focused on not the surgical approach but nutritional intervention within 1 week.


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