Evidence map›Paper›PMID 29850518›Full record

ArticleBioMed research international2018

Evaluation of Regional Variability and Measurement Reproducibility of Intravoxel Incoherent Motion Diffusion Weighted Imaging Using a Cardiac Stationary Phase Based ECG Trigger Method.

Zhiming Xiang, Zhu Ai, Jianke Liang, Guijin Li, Xiaolei Zhu, Xu Yan

Abstract readEvaluation Study
In one paragraph

Article in BioMed research international, 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
–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

9 citing papers in PubMed.

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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.

Zhiming XiangDepartment of Radiology, Guangzhou Panyu Center Hospital, Medical Imaging Institute of Panyu, 8 Fuyu Dong Road, Panyu District, Guangzhou 510080, China.ORCID 0000-0003-2037-6446
Zhu AiDepartment of Radiology, Guangzhou Panyu Center Hospital, Medical Imaging Institute of Panyu, 8 Fuyu Dong Road, Panyu District, Guangzhou 510080, China.
Jianke LiangDepartment of Radiology, Guangzhou Panyu Center Hospital, Medical Imaging Institute of Panyu, 8 Fuyu Dong Road, Panyu District, Guangzhou 510080, China.
Guijin LiSiemens Healthcare, MR Scientific Marketing NE Asia, Guangzhou, China.
Xiaolei ZhuSiemens Healthcare, MR Scientific Marketing NE Asia, Guangzhou, China.
Xu YanSiemens Healthcare, MR Collaboration NE Asia, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the performance of an optimized ECG trigger diffusion weighted imaging (DWI) sequence in liver and its application in liver disease. MATERIALS AND

methodsEighteen healthy volunteers underwent intravoxel incoherent motion diffusion weighted imaging (IVIM-DWI) scan of the liver twice in 1.5T MR scanner with signed informed consent approved by local ethic committees. A new method, called cardiac stationary phase based ECG trigger (CaspECG), and FB method were applied. The apparent diffusion coefficient (ADC) and the IVIM parameters, including pure diffusion coefficient (

resultCompared to the FB method, the proposed CaspECG method showed significant higher SNRs in DWI data, lower regional variability between left and right hepatic lobes, and higher reproducibility of ADC, PF, D, and D

conclusionThe novel CaspECG method outperformed the FB method in compensating the cardiac motion induced artifacts in DWI data and generating more reliable quantitative parameters, with less regional variability and higher repeatability, especially in the left hepatic lobe.

Indexed as

Diffusion Magnetic Resonance ImagingMotionElectrocardiographyHeartHumansLiverMaleObserver VariationReproducibility of ResultsSignal-To-Noise RatioYoung Adult

Identifiers

PMID29850518
PMCPMC5932501

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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.