Evidence map›Paper›PMID 40736556›Full record

ArticleEuropean radiology2026

Hepatocyte uptake ratio derived from T1 mapping for quantitative assessment of liver fibrosis.

Ge Zhang, Min Li, Huijie Feng, Yufan Ren, Xuan Jin, Qiying Ke, Jing Li, Yangshu Zhou, Queenie Chan, Shuping Qin and 2 more

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Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

12 authors.

Ge Zhang *Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Min Li *Department of Radiology, Chengdu Sixth People's Hospital, Chengdu, China.
Huijie Feng *Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Yufan RenDepartment of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Xuan JinDepartment of Radiology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, China.
Qiying KeDepartment of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Jing LiMedical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.
Yangshu ZhouDepartment of Pathology, Zhujiang Hospital of Southern Medical University, Guangzhou, China.
Queenie ChanPhilips Healthcare, Hong Kong, China.
Shuping QinDepartment of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China. qinshuping1226@163.com.
Xinming LiDepartment of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China. lixinmingsmu@163.com.
Xianyue QuanDepartment of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, China. quanxianyue2014@163.com.ORCID http://orcid.org/0000-0003-2293-9345

Funding

Clinical Research Startup Program of Southern Medical University by High-level University Construction Funding of Guangdong Provincial Department of Education LC2016PY034Guangdong Basic and Applied Basic Research Foundation 2021A1515011305Guangdong Basic and Applied Basic Research Foundation 2023A1515012242Guangdong Basic and Applied Basic Research Foundation 2024A1515012170Guangdong Basic and Applied Basic Research Foundation 2025A1515011722Natural Science Foundation of China 82302315Natural Science Foundation of China 82370674
6 · The paper itself

Abstract

objectivesTo investigate the diagnostic potential of T1 mapping-derived parameters for liver fibrosis, offering a quantitative approach to guide treatment strategies. MATERIALS AND

methodsIn this retrospective study, patients with chronic liver disease who underwent magnetic resonance imaging and pathological evaluation of the liver between April 2018 and May 2024 were included. The pre-contrast (T1pre) and post-contrast (T1post) T1 relaxation times, the difference between T1pre and T1post (ΔT1), reduction rates of T1 relaxation times, hepatocyte uptake ratio, and hepatocyte uptake index (KHep), were derived from pre-contrast and post-contrast T1 mapping images, and the liver-to-spleen signal intensity ratio (LSR) was measured on hepatobiliary phase images. One-way analysis of variance was used to compare differences in parameters across patients with mild (S0 + S1), moderate (S2 + S3) fibrosis, and cirrhosis (S4). Diagnostic performance was evaluated using the area under the receiver operating characteristic curve (AUC).

resultsEighty participants were enrolled, including 24 with mild fibrosis, 30 with moderate fibrosis, and 26 with cirrhosis. Serological scores (r = 0.361, 0.401), LSR (r = 0.410), and several conventional T1mapping-related parameters (r = 0.261-0.510) showed weaker correlations with liver fibrosis than hepatocyte uptake parameters (r = 0.549, 0.518). Only hepatocyte uptake ratio and KHep were always significantly different in patients with mild, moderate fibrosis, and cirrhosis (all p < 0.05). Among all parameters, the hepatocyte uptake ratio exhibited the highest AUC values for distinguishing moderate fibrosis (0.788, 95% CI: 0.682-0.893) and cirrhosis (0.795, 95% CI: 0.697-0.894).

conclusionThe hepatocyte uptake ratio shows strong potential as a simple, non-invasive imaging biomarker for assessing liver fibrosis and guiding clinical management. KEY POINTS: Question Hepatocyte uptake ratio calculated using a two-compartment model has good efficiency in assessing liver function, but has not been studied in liver fibrosis. Finding Hepatocyte uptake ratio has the best diagnostic efficiency for liver fibrosis and cirrhosis compared to serological scores, LSR, and conventional T1 mapping parameters. Critical relevance By applying a two-compartment model to exclude the extracellular space's influence on T1-shortening effect, the hepatocyte uptake ratio outperformed serological scores, LSR, and conventional T1 mapping parameters, offering a promising tool for the non-invasive diagnosis of liver fibrosis and cirrhosis.

Indexed as

HepatocytesLiver CirrhosisMagnetic Resonance ImagingAdultAgedContrast MediaFemaleHumansMaleMiddle AgedRetrospective StudiesContrast MediaHepatocyte uptake ratioLiver fibrosisMagnetic resonance imagingT1 mapping

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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.