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Congress: ECR25
Poster Number: C-16028
Type: Poster: EPOS Radiologist (scientific)
DOI: 10.26044/ecr2025/C-16028
Authorblock: A. Ntouli1, G. I. Kalaitzakis1, M. Raissaki2, S. Charalambous2, K. Margetaki1, M. Vafeiadi1, L. Chatzi3, T. G. Maris1; 1Heraklion/GR, 2HERAKLION/GR, 3Los Angeles, CA/US
Disclosures:
Angeliki Ntouli: Nothing to disclose
Georgios Ioannis Kalaitzakis: Nothing to disclose
Maria Raissaki: Nothing to disclose
Stavros Charalambous: Nothing to disclose
Katerina Margetaki: Nothing to disclose
Marina Vafeiadi: Nothing to disclose
Leda Chatzi: Nothing to disclose
Thomas G. Maris: Nothing to disclose
Keywords: MR physics, MR, PACS, Imaging sequences, Physics, Quality assurance
Purpose Liver Fat Fraction (FF) quantification is essential for the early diagnosis and monitoring of various liver diseases, including Non-Alcoholic Fatty Liver Disease (NAFLD) and metabolic syndrome [1]. Accurate assessment of liver FF can help prevent disease progression and aid in the management of liver disorders [2]. The DIXON MRI method is widely used for FF estimation, but there's a need to optimize the existing imaging protocols in terms of accuracy and reproducibility [3].This study aims to introduce a multi-component tissue-mimicking...
Read more Methods and materials Phantom Design:  In order to simulate the different fat fraction values of biological tissues, different materials embedded in sixteen (16) test tubes were used. Peanut oil was chosen as a fat component, in order to replicate liver triglycerides, due to its proton NMR spectrum resembling the protons seen in adipose tissue from triglycerides [4]. A set of 25 mL tubes, each contained varying fat content (0%, 3%, 5%, 7%, 10%,15%, 20%, 25%, 50%, 75%, and 100% w/v ). For different...
Read more Results FF Parametric Maps: %FF parametric maps were obtained using both LP-1 (Fig.2a) and LP-2 protocols (Fig. 2b). Results on vials 1-12 were in good agreement with the expected values +- 0.62 and 1.82. In vials 13-15 %FF measurements were not reliable, due to their high percentage of fat (>50%). The %FF measurements on each vial are summarized in Table 1 along with their SDs. [fig 2] Statistical Analysis: The Bland-Altman analysis showed mean differences of 2.3% and 1.8% for LP-1 and LP-2, respectively....
Read more Conclusion The study demonstrated that %FF measurements obtained from both LP1 and LP2 protocols were in agreement with the reference values of the phantom, confirming the accuracy of the proposed methodology. The FF-MRI phantom successfully simulated a broad range of fat fraction values, reinforcing its utility as a valuable testbed for MRI-based FF quantification.The in-house software, qMRI Utilities-X, seamlessly embedded into the existing EVORAD PACS/Workstation system, proved to be a robust and efficient tool for %FF quantification, offering a fast and...
Read more References 1.Dulai PS, Sirlin CB, Loomba R. MRI and MRE for non-invasive quantitative assessment ofhepatic steatosis and fibrosis in NAFLD and NASH: Clinical trials to clinical practice. vol. 65.2016.https://doi.org/10.1016/j.jhep.2016.06.005.2.Gu J, Liu S, Du S, Zhang Q, Xiao J, Dong Q, et al. Diagnostic value of MRI-PDFF for hepaticsteatosis in patients with non-alcoholic fatty liver disease: a meta-analysis. Eur Radiol 2019.https://doi.org/10.1007/s00330-019-06072-4.3.Ma J. Dixon techniques for water and fat imaging. J Magn Reson Imaging 2008;28:543–58.https://doi.org/10.1002/jmri.21492.4.Bush EC, Gifford A, Coolbaugh CL, Towse TF, Damon...
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