Evidence map›Paper›PMID 27488851›Full record

ArticleEuropean radiology2017

Dynamic contrast enhanced MR imaging for evaluation of angiogenesis of hepatocellular nodules in liver cirrhosis in N-nitrosodiethylamine induced rat model.

Wei Zhang, Hui Juan Chen, Zhen J Wang, Wei Huang, Long Jiang Zhang

Abstract read
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In one paragraph

Article in European radiology, 2017. 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
2.3field-weighted citation impact, top 13% 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, 15 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

5 authors at 3 institutions in 2 countries.

Wei ZhangDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China.
Hui Juan ChenDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China.
Zhen J WangDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA.
Wei HuangDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China. radiology@126.com.
Long Jiang ZhangDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China. kevinzhlj@163.com.
Nanjing General Hospital of Nanjing Military Command · CNNanjing Medical University · CNUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate whether dynamic contrast -enhanced MRI (DCE-MRI) can distinguish the type of liver nodules in a rat model with N-nitrosodiethylamine- induced cirrhosis.

methodsLiver nodules in cirrhosis were induced in 60 male Wistar rats via 0.01 % N-nitrosodiethylamine in the drinking water for 35-100 days. The nodules were divided into three groups: regenerative nodule (RN), dysplastic nodule (DN), and hepatocellular carcinoma (HCC). DCE-MRI was performed, and parameters including transfer constant (K

resultsThe highest K

conclusionDCE-MRI is a promising method to differentiate of liver nodules. Elevated K KEY POINTS: • DCE-MRI is promising for differentiating among RN, DN, and HCC • K

Indexed as

AngiographyAnimalsCarcinoma, HepatocellularContrast MediaDiethylnitrosamineDisease Models, AnimalEarly Detection of CancerHumansLiver CirrhosisLiver NeoplasmsMagnetic Resonance ImagingMaleNeovascularization, PathologicRatsRats, WistarROC CurveContrast MediaDiethylnitrosamineAngiogenesisDynamic contrast -enhanced -MRI (DCE-MRI)Hepatocellular carcinomaHepatocellular nodules in cirrhosisKtrans

Identifiers

PMID27488851
OpenAlexW2483103803

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.