Evidence map›Paper›PMID 33856520›Full record

ArticleEuropean radiology2021

Macrotrabecular-massive hepatocellular carcinoma: imaging identification and prediction based on gadoxetic acid-enhanced magnetic resonance imaging.

Jie Chen, Chunchao Xia, Ting Duan, Likun Cao, Hanyu Jiang, Xijiao Liu, Zhen Zhang, Zheng Ye, Zhenru Wu, Ronghui Gao and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 6% of its field
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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. [Discrimination of macrotrabecular-massive hepatocellular carcinoma based on fusion of multi-phase contrast-enhanced computed tomography radiomics features].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

12 authors at 2 institutions in 1 country.

Jie Chen *Department of Radiology, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, China.
Chunchao Xia *Department of Radiology, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, China.
Ting DuanDepartment of Radiology, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, China.
Likun CaoDepartment of Radiology, Peking Union Medical College Hospital (Dongdan campus), No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China.
Hanyu JiangDepartment of Radiology, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, China.
Xijiao LiuDepartment of Radiology, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, China.
Zhen ZhangDepartment of Radiology, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, China.
Zheng YeDepartment of Radiology, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, China.
Zhenru WuLaboratory of Pathology, West China Hospital, Sichuan University, No.88 South Keyuan Road, Chengdu, 610041, China.
Ronghui GaoDepartment of Radiology, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, China.
Yujun ShiLaboratory of Pathology, West China Hospital, Sichuan University, No.88 South Keyuan Road, Chengdu, 610041, China. shiyujun@scu.edu.cn.
Bin SongDepartment of Radiology, West China Hospital, Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, China. songlab_radiology@163.com.ORCID http://orcid.org/0000-0001-7007-6367
Sichuan University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

National Nature Science Foundation of China 81771797Science and Technology Support Program of Sichuan Province 2017SZ0003
6 · The paper itself

Abstract

objectivesTo identify image features of macrotrabecular-massive (MTM) hepatocellular carcinoma (HCC) and to determine its role in predicting MTM-HCC.

methodsPatients who underwent preoperative gadoxetic acid-enhanced MRI and with surgery proven HCC were retrospectively included. Imaging features were assessed according to Liver Imaging Reporting and Data System. Quantitative measurements were recorded. Clinical characteristics and imaging findings were compared between MTM-HCCs and non-MTM-HCCs. Predictive factors of MTM-HCC were screened with univariate analyses and then identified with multivariate logistic regression. A regression-based diagnostic model was constructed. ROC analyses were used to determine cutoff values, AUC, and corresponding 95% confidence interval (CI) of findings. The diagnostic performance was validated by 10-fold cross-validation.

resultsOne hundred and forty-one patients with 37 MTM-HCCs were included. Multivariate analyses identified high platelet count (≥ 163.5 × 10

conclusionsNecrosis or severe ischemia was a sensitive imaging feature of MTM-HCC. Noninvasive prediction of this subtype can be achieved with good accuracy and excellent specificity when findings were combined. KEY POINTS: • The macrotrabecular-massive (MTM) hepatocellular carcinoma (HCC) represents an aggressive subtype of HCC and is associated with poor prognosis. • Imaging features of necrosis or severe ischemia alone helped identify 86% MTM-HCCs with a specificity of 66%. • A regression-based diagnostic model including high platelet count (≥ 163.5 × 10

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsContrast MediaGadolinium DTPAHumansMagnetic Resonance ImagingRetrospective StudiesSensitivity and SpecificityContrast MediaGadolinium DTPAgadolinium ethoxybenzyl DTPACarcinoma, hepatocellularMagnetic resonance imagingNomogram

Identifiers

PMID33856520
OpenAlexW3156828049

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.