PhD Scientific Days 2024
Budapest, 9-10 July 2024
Pharmaceutical Sciences and Health Technologies II.
The Calculation and Evaluation of an Ultrasound-Estimated Fat Fraction in Non-Alcoholic Fatty Liver Disease and Metabolic-Associated Fatty Liver Disease
Előadó neve
Dr. Zsombor, Zita
Neptun code
M9KESU
Előadó munkahelye
Medical Imaging Centre, Semmelweis University
Előadó telefonszáma
+36302398814
Előadó e-mail címe
zita.zsombor7@gmail.com
Az előadás címe
The Calculation and Evaluation of an Ultrasound-Estimated Fat Fraction in Non-Alcoholic Fatty Liver Disease and Metabolic-Associated Fatty Liver Disease
Szerző(k) neve és munkahelye
Zita Zsombor1, Pál Novák Kaposi1, Aladár D. Rónaszéki1, Bettina K. Budai1, Barbara Csongrády1, Róbert Stollmayer1, Ildikó Kalina1, Gabriella Győri1, Viktor Bérczi1, Klára Werling1, Pál Maurovich-Horvat1, Anikó Folhoffer2, Krisztina Hagymási3
1: Department of Radiology, Medical Imaging Center, Faculty of Medicine, Semmelweis University
2: Department of Internal Medicine and Oncology, Faculty of Medicine, Semmelweis University
3: Department of Surgery, Transplantation and Gastroenterology, Faculty of Medicine, Semmelweis University
Bemutatás módja
Szóbeli
Szekció
Pharmaceutical Sciences and Health Technologies II.
Language of the presentation
Hungarian
Preferred session
Pharmaceutical Sciences and Health Technologies
Összefoglaló szövege
Introduction: Accurate diagnosis and monitoring of fatty liver disease are crucial for early intervention and prevention of complications. MRI-PDFF is recommended as a reference method after biopsy, but it is expensive, and its availability is limited. Other non-invasive techniques such as Quantitative
ultrasound (QUS) measurements are increasing in popularity for the detection of hepatic steatosis.
Aims: We aimed to develop a non-linear regression model that could predict the fat fraction of the liver (UEFF), similar to magnetic resonance imaging proton density fat fraction (MRI-PDFF), based on quantitative ultrasound (QUS) parameters. Methods and Results: We measured and retrospectively collected the ultrasound attenuation coefficient (AC), backscatter-distribution coefficient (BSC-D), and liver stiffness (LS) using shear wave elastography (SWE) in 90 patients with clinically suspected non-alcoholic fatty liver disease (NAFLD), and 51 patients with clinically suspected metabolic-associated fatty liver disease (MAFLD). The MRI-PDFF was also measured in all patients within a month of the ultrasound scan. In the linear regression analysis, only AC and BSC-D showed a significant association with MRI-PDFF. Therefore, we developed prediction models using non-linear least squares analysis to estimate MRI-PDFF based on the AC and BSC-D parameters. We fitted the models on the NAFLD dataset and evaluated their performance in three-fold cross-validation repeated five times. We decided to use the model based on both parameters to calculate UEFF. The correlation between UEFF and MRI-PDFF was strong in NAFLD and very strong in MAFLD. According to a receiver operating characteristics (ROC) analysis, UEFF could differentiate between <5% vs. 5% and <10% vs. 10% MRI-PDFF steatosis with excellent, 0.97 and 0.91 area under the curve (AUC), accuracy in the NAFLD and with AUCs of 0.99 and 0.96 in the MAFLD groups. Conclusion: In conclusion, UEFF calculated from QUS parameters is an accurate method to quantify liver fat fraction and to diagnose 5% and 10% steatosis in both NAFLD and MAFLD. Therefore, UEFF can be an ideal non-invasive screening tool for patients with NAFLD and MAFLD risk factors. Funding: Z.Z. was partly funded by a Ph.D. scholarship from the New National Excellence Program (ÚNKP–23–3–I–SE–23) of the Ministry of Culture and Innovation of Hungary.
University
Semmelweis University
Supervisor
Pál Novák Kaposi
Publication of my abstract
I give consent to the publication of my abstract on the website of the congress.
Kind
Szabad
Status
elfogadva
Accepted presentation method
szóbeli
Előadás fájl jóváhagyás
nem rendelkezett róla
Előadó
8106
Start
10:30
End
10:40