Evidence map›Paper›PMID 30526674›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2018

Comparison of gadoxetic acid versus gadopentetate dimeglumine for the detection of hepatocellular carcinoma at 1.5 T using the liver imaging reporting and data system (LI-RADS v.2017).

Ying Ding, Sheng-Xiang Rao, Wen-Tao Wang, Cai-Zhong Chen, Ren-Chen Li, Mengsu Zeng

Open access · goldAbstract readComparative Study
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Ying DingDepartment of Radiology, Zhongshan Hospital of Fudan University, Shanghai Institute of Medical Imaging, No138, Fenglin Road, Xuhui District, Shanghai, 200032, China.
Sheng-Xiang RaoDepartment of Radiology, Zhongshan Hospital of Fudan University, Shanghai Institute of Medical Imaging, No138, Fenglin Road, Xuhui District, Shanghai, 200032, China. raoxray@163.com.
Wen-Tao WangDepartment of Radiology, Zhongshan Hospital of Fudan University, Shanghai Institute of Medical Imaging, No138, Fenglin Road, Xuhui District, Shanghai, 200032, China.
Cai-Zhong ChenDepartment of Radiology, Zhongshan Hospital of Fudan University, Shanghai Institute of Medical Imaging, No138, Fenglin Road, Xuhui District, Shanghai, 200032, China.
Ren-Chen LiDepartment of Radiology, Zhongshan Hospital of Fudan University, Shanghai Institute of Medical Imaging, No138, Fenglin Road, Xuhui District, Shanghai, 200032, China.
Mengsu ZengDepartment of Radiology, Zhongshan Hospital of Fudan University, Shanghai Institute of Medical Imaging, No138, Fenglin Road, Xuhui District, Shanghai, 200032, China.
Sun Yat-sen University · CNThe First Affiliated Hospital, Sun Yat-sen University · CNZhongshan Hospital · CN

Funding

the National Science Foundation for Young Scientists of China Grant No. 81701682the Shanghai Natural Science Fund Grant No. 17ZR1427300
6 · The paper itself

Abstract

purposeThe goal of this study was to investigate the Liver Imaging Reporting and Data System (LI-RADS) v.2017 for the categorization of hepatocellular carcinomas (HCCs) with gadoxetic acid compared with gadopentetate dimeglumine-enhanced 1.5-T magnetic resonance imaging (MRI). MATERIAL AND

methodsWe included 141 high-risk patients with 145 pathologically-confirmed HCCs who first underwent gadopentetate dimeglumine-enhanced 1.5-T followed by gadoxetic acid-enhanced 1.5-T MRI. Two independent radiologists evaluated the presence or absence of major HCC features and assigned LI-RADS categories after considering ancillary features on both MRIs. Finally, the sensitivity of LI-RADS category 5 (LR-5) and the frequencies of major HCC features were compared between gadoxetic acid- and gadopentetate dimeglumine-enhanced 1.5-T MRI using the Wilcoxon test.

resultsThe sensitivity of LR-5 for diagnosing HCCs was significantly different between gadoxetic acid- and gadopentetate dimeglumine-enhanced MRI (73.8% [107/145] vs 26.2% [38/145], P < 0.001; 71% [103/145] vs 29% [42/145], P < 0.001 for reviewers 1 and 2, respectively). Among the major HCC LI-RADS features, capsule appearance was less frequently demonstrated on gadoxetic acid-enhanced MRI than on gadopentetate dimeglumine-enhanced MRI (3.4% [5/145] vs 5.5% [8/145], P = 0.793; 4.1% [6/145] vs 5.5% [8/145], P = 0.87 for reviewers 1 and 2, respectively), and the frequency of arterial hyperenhancement was not significantly different between gadoxetic acid and gadopentetate dimeglumine (89% [129/145] vs 89% [129/145], P = 1.000). In addition, the frequency of a washout appearance was less in the transitional phase (TP) than in the portal venous phase (PVP) on gadoxetic acid-enhanced MRI (43% [46/107] vs 57% [61/107], P = 0.367).

conclusionGadoxetic acid-enhanced MRI showed a comparable sensitivity to gadopentetate dimeglumine-enhanced MRI for the diagnosis of HCCs, and LI-RADS category 4 (LR-4) hepatic nodules were upgraded to LR-5 when taking into account the major features according to LI-RADS v.2017.

Indexed as

Contrast MediaGadolinium DTPAAdultAgedAged, 80 and overCarcinoma, HepatocellularFemaleHumansLiver NeoplasmsMagnetic Resonance ImagingMaleMiddle AgedSensitivity and SpecificityContrast MediaGadolinium DTPAgadolinium ethoxybenzyl DTPAGadopentetate dimeglumineGadoxetic acidHepatocellular carcinomaLiver imaging reporting and data systemMagnetic resonance imaging

Identifiers

PMID30526674
PMCPMC6286579
OpenAlexW2903965604

What OpenQuestion holds

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Registered trials

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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.