Literature DB >> 33668286

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

Daan J de Jong1, Wouter B Veldhuis1, Frank J Wessels1, Bob de Vos2, Pim Moeskops2, Madeleine Kok1.   

Abstract

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.

Entities:  

Keywords:  artificial intelligence; body composition; computed tomography; contrast media

Year:  2021        PMID: 33668286     DOI: 10.3390/jpm11030159

Source DB:  PubMed          Journal:  J Pers Med        ISSN: 2075-4426


  2 in total

1.  Individualized Contrast Media Application Based on Body Weight and Contrast Enhancement in Computed Tomography of Livers without Steatosis.

Authors:  Daan J de Jong; Véronique V van Cooten; Wouter B Veldhuis; Pim A de Jong; Madeleine Kok
Journal:  Diagnostics (Basel)       Date:  2022-06-25

2.  Liver Enhancement on Computed Tomography Is Suboptimal in Patients with Liver Steatosis.

Authors:  Véronique V van Cooten; Daan J de Jong; Frank J Wessels; Pim A de Jong; Madeleine Kok
Journal:  J Pers Med       Date:  2021-11-25
  2 in total

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