Evidence map›Paper›PMID 35079885›Full record

ArticleEuropean radiology2022

Microvascular invasion of small hepatocellular carcinoma can be preoperatively predicted by the 3D quantification of MRI.

San-Yuan Dong, Wen-Tao Wang, Xiao-Shan Chen, Yu-Tao Yang, Shuo Zhu, Meng-Su Zeng, Sheng-Xiang Rao

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Article in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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

7 authors.

San-Yuan DongDepartment of Radiology, Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Xuhui District, No. 180 Fenglin Road, Shanghai, 200032, China.
Wen-Tao WangDepartment of Radiology, Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Xuhui District, No. 180 Fenglin Road, Shanghai, 200032, China.
Xiao-Shan ChenDepartment of Radiology, Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Xuhui District, No. 180 Fenglin Road, Shanghai, 200032, China.
Yu-Tao YangDepartment of Radiology, Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Xuhui District, No. 180 Fenglin Road, Shanghai, 200032, China.
Shuo ZhuDepartment of Radiology, Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Xuhui District, No. 180 Fenglin Road, Shanghai, 200032, China.
Meng-Su ZengDepartment of Radiology, Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Xuhui District, No. 180 Fenglin Road, Shanghai, 200032, China.
Sheng-Xiang RaoDepartment of Radiology, Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Xuhui District, No. 180 Fenglin Road, Shanghai, 200032, China. raoxray@163.com.ORCID http://orcid.org/0000-0001-7722-8327

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore the importance of three-dimensional (3D) quantitative analysis during gadoxetic acid-enhanced magnetic resonance imaging (MRI) of microvascular invasion (MVI) and early recurrence (< 2 years) after surgery of single hepatocellular carcinoma (HCC) ≤ 3 cm.

methodsTwo hundred fourteen patients with pathologically confirmed HCC (training cohort: n = 169; validation cohort: n = 45) were included retrospectively. The 3D quantitative parameters (volume, sphericity, and compacity) and conventional MRI features were analyzed. The significant predictors for MVI were identified using univariate and multivariate logistic regression analyses. Nomograms were constructed from the prediction model, and the relationship between the significant predictors and early recurrence rates was evaluated using the Kaplan-Meier method.

resultsTumor sphericity (odds ratio [OR] = 0.000; p < 0.001), non-smooth tumor margin (OR = 3.353; p = 0.015), and peritumoral hypointensity on hepatobiliary phase (HBP) (OR = 14.067; p = 0.003) were independent significant factors for MVI. When these three factors were combined, the diagnostic specificity of the training and validation cohorts was 97.0 (128/132) and 87.9 (29/33), respectively. The nomogram based on the predictive model performed satisfactorily in the training (C-index: 0.885) and validation (C-index: 0.869) cohorts. Early recurrence rates of patients with two or three significant factors were significantly higher than those with none in the training (29.1% vs. 10.2%, p = 0.007) and validation (36.4% vs. 6.7%, p = 0.037) cohorts.

conclusionsLower sphericity combined with non-smooth tumor margin and peritumoral hypointensity on HBP are potential predictive factors for MVI and associated with early recurrence after surgery of HCC ≤ 3 cm. KEY POINTS: • Lower sphericity, non-smooth tumor margin, and peritumoral hypointensity on HBP were important indicators of the occurrence of MVI in HCC. • The combinational model prepared from these findings satisfactorily predicted MVI, and the presence of these predictors was associated with an early recurrence rate after surgical resection in HCC patients. • This model could help clinicians in the preoperative management of small HCC ≤ 3 cm.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsHumansMagnetic Resonance ImagingNeoplasm InvasivenessRetrospective StudiesGadoxetic acidLiver neoplasmsMagnetic resonance imagingNomogramsRetrospective studies

Identifiers

PMID35079885

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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.