Evaluation of Ultrasound-Based Parameters for the Assessment of Hepatic Steatosis and Fibrosis in Hungarian Wilson’s Disease Patients
Background: Wilson’s disease (WD) is a genetic disorder of copper metabolism with over 600 disease-causing mutations, leading to variable hepatic and neurological symptoms. Early diagnosis and treatment are crucial. To evaluate hepatic involvement, serum scores and non-invasive imaging techniques complement histology. Methods: This pilot study assessed the utility of ultrasound-based tissue attenuation imaging (TAI), tissue scatter distribution imaging (TSI), and shear-wave elastography (SWE) for quantifying steatosis and fibrosis in WD. Results: Among 131 treated patients, 53 (mean age 40.5 ± 13.1 years, M/F = 35/18) underwent measurements. Based on literature-validated thresholds, 41 patients did not have significant liver fibrosis, 5 patients had moderate (F2) and 4 advanced (F3) fibrosis, while 3 patients had cirrhosis. The LS (liver stiffness) was in moderate correlation with FIB-4 (r = 0.306, p < 0.03), NAFLD fibrosis index (r = 0.336, p < 0.02), and APRI (r = 0.31, p = 0.0857). Among the WD patients, 37 had no steatosis (S0), 14 had mild steatosis (S1), and 2 had intermediate steatosis (S2); none of them had severe steatosis (S3) based on UEFF calculation. LS correlated positively with calculated free copper and negatively with serum ceruloplasmin. Normal-BMI patients exhibited no significant steatosis (R2 = 0. 0065, p = 0.966) by ultrasound-estimated fat fraction (UEFF), while those with BMI > 25 kg/m2 had increased UEFF correlating with BMI (R2 = 0.288, p < 0.015). Over a five-year follow-up using liver elastography, the fibrosis score did not progress significantly in adequately treated patients. Conclusions: Ultrasound with artificial intelligence-derived parameters supports the non-invasive evaluation of hepatic steatosis and fibrosis in WD, complementing clinical and laboratory data. However, population-specific liver stiffness thresholds are still needed.
Authors
- Anna Egresi
- Gabriella Győri (ORCID: https://orcid.org/0000-0001-9245-1287)
- Róbert Stollmayer (ORCID: https://orcid.org/0000-0003-4673-7588)
- Csaba LORINCZI
- Pál Novák Kaposi (ORCID: https://orcid.org/0000-0002-7150-3495)
- Anikó Folhoffer (ORCID: https://orcid.org/0000-0002-3312-0581)
- Barbara Csongrády
- A Rónaszéki (ORCID: https://orcid.org/0000-0002-2278-0058)
- Bettina Katalin Budai (ORCID: https://orcid.org/0000-0002-3982-7887)
- Boglárka Zsély (ORCID: https://orcid.org/0000-0003-3163-886X)
- A Krolopp
- Pál Maurovich‐Horvat (ORCID: https://orcid.org/0000-0003-0885-736X)
- Judit Halász (ORCID: https://orcid.org/0000-0001-9834-8619)
- Dániel Németh (ORCID: https://orcid.org/0000-0001-8935-7150)
- Ferenc Szalay
- Csenge Bánhidi
- István Takács
- Zsuzsanna Jakab
- Tamás Tóth
- Krisztina Hagymási (ORCID: https://orcid.org/0000-0002-5859-1320)
- András Laki
Institutions
- Semmelweis University (HU)
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- National Institute of Oncology (HU)
Publication Details
- Journal
- Diagnostics
- Published
- 2026-05-08
- DOI
- https://doi.org/10.3390/diagnostics16101433
- Primary Topic
- Trace Elements in Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00