Global Expert Consensus Confirms UDFF As High Precision Noninvasive Standard For Hepatic Steatosis Quantification

Fudan University researchers establish UDFF as a high-precision, cost-effective alternative to liver biopsy for quantifying hepatic steatosis.

By: AXL Media

Published: Mar 17, 2026, 12:01 PM EDT

Source: Information for this report was sourced from Fudan University

Revolutionizing the Diagnostic Approach to Chronic Liver Disease

The global surge in metabolic disorders has propelled fatty liver disease into the forefront of public health challenges, necessitating more sophisticated diagnostic tools. Traditionally, medical professionals relied on liver biopsies to grade steatosis, but this invasive method carries high costs and significant risks of sampling error. According to research led by Dr. Huixiong Xu and Dr. Hong Ding at Fudan University, the medical community is shifting toward Ultrasound-Derived Fat Fraction (UDFF) as a transformative solution. This quantitative, noninvasive tool addresses the urgent clinical need for an objective method to monitor metabolic dysfunction-associated steatotic liver disease (MASLD) without the physical trauma of traditional surgery.

Surpassing the Accuracy of Traditional Ultrasound Grading

The expert consensus, published in the journal Portal Hypertension & Cirrhosis, synthesized data from extensive multicenter trials to evaluate UDFF against existing imaging standards. While advanced magnetic resonance imaging (MRI-PDFF) provides high accuracy, its prohibitive cost and limited availability make it impractical for widespread screening. The findings indicate that UDFF consistently achieves diagnostic accuracy levels comparable to MRI-based techniques, with area under the curve (AUC) values frequently exceeding 0.90. This suggests that UDFF frequently outperforms conventional ultrasound grading and controlled attenuation parameters, providing a more stable and quantitative assessment of hepatic fat.

Consistency and Reproducibility in Clinical Environments

One of the most critical factors in the adoption of a new diagnostic technology is its reliability across different medical operators. The study reported exceptional intra-operator and inter-operator correlation coefficients of 0.94 or higher, reflecting a high degree of repeatability. This level of consistency ensures that different clinicians can obtain nearly identical results, which is essential for tracking a patient’s therapeutic response over time. By establishing standardized quality control criteria, the Fudan University team has provided a framework that allows UDFF to function as a dependable, scalable alternative to more expensive and specialized imaging modalities.