Evidence map›Paper›PMID 30877465›Full record

ArticleEuropean radiology2019

IVIM improves preoperative assessment of microvascular invasion in HCC.

Yi Wei, Zixing Huang, Hehan Tang, Liping Deng, Yuan Yuan, Jiaxing Li, Dongbo Wu, Xiaocheng Wei, Bin Song

Abstract readEvaluation Study
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In one paragraph

Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
–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

49 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  16. [Research progress of radiomics in the evaluation of microvascular invasion in hepatocellular carcinoma].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2023
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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

9 authors.

Yi WeiDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Zixing HuangDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Hehan TangDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Liping DengDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Yuan YuanDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Jiaxing LiDepartment of Liver Surgery, West China Hospital, Sichuan University, Chengdu, China.
Dongbo WuCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China.
Xiaocheng WeiGE Healthcare China, Beijing, China.
Bin SongDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, China. songlab_radiology@163.com.ORCID http://orcid.org/0000-0002-7269-2101

Funding

Department of Science and Technology of Sichuan Province 2017SZ0003Department of Science and Technology of Sichuan Province 2017SZ0185National Natural Science Foundation of China 81471658
6 · The paper itself

Abstract

purposeTo prospectively evaluate the potential role of intravoxel incoherent motion (IVIM) and conventional radiologic features for preoperative prediction of microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC).

methodsInstitutional review board approval and written informed consent were obtained for this study. A cohort comprising 115 patients with 135 newly diagnosed HCCs between January 2016 and April 2017 were evaluated. Two radiologists independently reviewed the radiologic features and the apparent diffusion coefficient (ADC), true diffusion coefficient (D), pseudodiffusion coefficient (D*), and pseudodiffusion component fraction (f) were also measured. Interobserver agreement was checked and univariate and multivariate logistic regressions were used for screening the risk factors. Receiver operating characteristics (ROC) curve analyses were performed to evaluate the diagnostic performance.

resultsFeatures significantly related to MVI of HCC at univariate analysis were reduced ADC (odds ratio, 0.341; 95% CI, 0.211-0.552; p < 0.001), D (odds ratio, 0.141; 95% CI, 0.067-0.299; p < 0.001), and irregular circumferential enhancement (odds ratio, 9.908; 95% CI, 3.776-25.996; p < 0.001). At multivariate analysis, only D value (odds ratio, 0.096; 95% CI, 0.025-0.364; p < 0.001) was the independent risk factor for MVI of HCC. The mean D value for MVI of HCC showed an area under ROC curves of 0.815 (95% CI, 0.740-0.877).

conclusionIVIM model-derived D value is superior to ADC measured with mono-exponential model for evaluating the MVI of HCC. Among MR imaging features, tumor margin, enhancement pattern, tumor capsule, and peritumoral enhancement were not predictive for MVI. KEY POINTS: • Diffusion MRI is useful for non-invasively evaluating the microvascular invasion of hepatocellular carcinoma. • IVIM model is advantageous over mono-exponential model for assessing the microvascular invasion of hepatocellular carcinoma. • Decreased D value was the independent risk factor for predicting MVI of HCC.

Indexed as

AdultAgedCarcinoma, HepatocellularDiffusion Magnetic Resonance ImagingFemaleHumansImage Interpretation, Computer-AssistedLiver NeoplasmsLogistic ModelsMaleMicrovesselsMiddle AgedMotionNeoplasm InvasivenessObserver VariationOdds RatioDiagnostic imagingHepatocellular carcinomaMagnetic resonance imaging

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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.