Evidence map›Paper›PMID 39576331›Full record

ArticleEuropean radiology2025

Fat fraction quantification by MRI predicts diagnosis and prognosis of HBV-related steatohepatitic hepatocellular carcinoma.

Laizhu Zhang, Xiaoli Mai, Binghua Li, Huan Li, Qi Liu, Yunzheng Li, Yican Zhu, Xiang Jiang, Weihong Wang, Chu Qiao and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Laizhu Zhang *Division of Hepatobiliary and Transplantation Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China.
Xiaoli Mai *Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China.
Binghua LiDivision of Hepatobiliary and Transplantation Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China.
Huan LiDivision of Hepatobiliary and Transplantation Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China.
Qi LiuDivision of Hepatobiliary and Transplantation Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China.
Yunzheng LiDivision of Hepatobiliary and Transplantation Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China.
Yican ZhuDivision of Hepatobiliary and Transplantation Surgery, Department of General Surgery, Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China.
Xiang JiangDivision of Hepatobiliary and Transplantation Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China.
Weihong WangDivision of Hepatobiliary and Transplantation Surgery, Department of General Surgery, Nanjing Drum Tower Hospital Clinical College of Jiangsu University, Nanjing, China.
Chu QiaoDivision of Hepatobiliary and Transplantation Surgery, Department of General Surgery, Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, China.
Jun ChenDepartment of Pathology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China.
Chun XuDepartment of Pathology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China.
Jun ChenDepartment of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China. Jchen@njglyy.com.
Decai YuDivision of Hepatobiliary and Transplantation Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, Jiangsu, China. yudecai@nju.edu.cn.ORCID http://orcid.org/0000-0002-3006-2531

Funding

the Nature Science Foundation of China 81871967the Nature Science Foundation of China 82002509
6 · The paper itself

Abstract

objectivesThis study explored the clinical prognosis and lipidomics of hepatitis B virus steatohepatitic hepatocellular carcinoma (HBV-SHHCC) and aimed to identify a noninvasive and convenient method to diagnose this phenotype and guide treatment using MRI.

methodsA total of 433 HBV-infected HCC patients were enrolled in this retrospective study. Survival data were analyzed using Cox regression analyses, and lipidomics was used to study HCC tissue composition. Logistic regression identified an independent predictor for HBV-SHHCC, and receiver-operating characteristic (ROC) analysis verified its discrimination.

resultsHBV-SHHCC patients had longer disease-free survival (DFS, p < 0.0001) and overall survival (OS) time (p = 0.00097). Compared with common HCC (cHCC), SHHCC was associated with significantly higher mean triacylglyceride (p = 0.010) and diacylglyceride contents (p = 0.002) in tumor tissues. Fat fraction (FF) was linearly correlated with lipid composition and fatty acid degradation (FAD) subtype, which could help in treatment options for HCC. The univariate and multivariate logistic regression indicated FF (p < 0.001) as an independent predictor for diagnosing this phenotype. ROC analysis confirmed excellent discrimination (area under the curve (AUC), 0.914; sensitivity, 92.3%; specificity, 78.7.0%). After using the optimal cutoff point, the DFS time of patients with SHHCC stratified by FF was significantly higher than that of patients with cHCC.

conclusionThe biological behavior and prognosis of HBV-SHHCC were better than those of other types. FF is a valuable tool for the clinical diagnosis of SHHCC, prognosis prediction, and treatment guidance in patients with HCC. KEY POINTS: Question Can the diagnosis of steatohepatitic hepatocellular carcinoma (SHHCC) be made noninvasively? Findings Fat fraction (FF) correlated with lipid composition and could be used to diagnose SHHCC with an AUC of 0.914, sensitivity of 92.3%, and specificity of 78.7%. Clinical relevance MRI-based FF could be used to diagnose HBV-related SHHCC, indicate prognosis, and guide the clinical treatment of patients with HCC.

Indexed as

Carcinoma, HepatocellularFatty LiverHepatitis BLiver NeoplasmsMagnetic Resonance ImagingAdultAgedFemaleHumansLipidomicsMaleMiddle AgedPrognosisRetrospective StudiesSensitivity and SpecificityDiagnosisFat fractionHBV-related steatohepatitic hepatocellular carcinomaLipidomicsPrognosis

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.