Evidence map›Paper›PMID 42684475›Full record

ArticleAbdominal radiology (New York)2026

Diagnostic performance of ultrasound-derived fat fraction for detecting hepatic steatosis in patients with tumor-related liver disease.

Danni Jiang, Chao Qu, Dandan Jiang, Zhenghao Bao, Bing He, Yuxiu Gao, Jingtong Yao, Shuao Li, Jingyu Cao, Cheng Zhao

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Article in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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10 authors.

Danni JiangAffiliated Hospital of Qingdao University, Qingdao, China.
Chao QuAffiliated Hospital of Qingdao University, Qingdao, China.ORCID https://orcid.org/0000-0002-6313-5688
Dandan JiangAffiliated Hospital of Qingdao University, Qingdao, China.
Zhenghao BaoAffiliated Hospital of Qingdao University, Qingdao, China.
Bing HeAffiliated Hospital of Qingdao University, Qingdao, China.
Yuxiu GaoAffiliated Hospital of Qingdao University, Qingdao, China.
Jingtong YaoAffiliated Hospital of Qingdao University, Qingdao, China.
Shuao LiAffiliated Hospital of Qingdao University, Qingdao, China.
Jingyu CaoAffiliated Hospital of Qingdao University, Qingdao, China. cjy7027@163.com.
Cheng ZhaoAffiliated Hospital of Qingdao University, Qingdao, China. zhaochengdr@163.com.

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No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate assessment of hepatic steatosis is crucial for preoperative risk stratification in patients with liver tumors. However, the diagnostic performance of the noninvasive ultrasound-derived fat fraction (UDFF) remains uncertain, where tissue heterogeneity can impair measurement reliability. Using histopathology as the reference standard, this study aimed to evaluate the ability of UDFF to detect and grade background hepatic steatosis.

methodsIn this prospective study, 64 adults scheduled for hepatic surgery were enrolled. All patients underwent preoperative UDFF assessment, and postoperative histopathology of non-tumorous liver tissue served as the reference. Diagnostic performance, incremental predictive value, and clinical utility were evaluated using ROC analysis (Youden index for cutoff determination), multivariable regression (ΔAUC assessment), and decision curve analysis.

resultsUDFF values increased progressively with histological steatosis grades (p < 0.0001). The AUCs for detecting S ≥ 1 and S ≥ 2 steatosis were 0.885 and 0.967, with corresponding optimal cutoffs of 4.75% and 8.50%. UDFF was an independent predictor of steatosis (OR = 1.95 for S ≥ 1; OR = 2.58 for S ≥ 2) and significantly improved model discrimination (ΔAUC = 0.161 and 0.256). Decision curve analysis demonstrated a consistent net clinical benefit across clinically relevant threshold probabilities.

conclusionUDFF provides accurate, independent, and clinically meaningful quantification of hepatic steatosis in tumor-related liver disease, and the population-specific cutoff values identified in this study may support improved preoperative evaluation and treatment planning.

Indexed as

Diagnostic performanceHepatic steatosisHistopathology validationTumor-related hepatic lesionsUltrasound-derived fat fraction

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.