Evidence map›Paper›PMID 27446298›Full record

ArticleExperimental and therapeutic medicine2016

Parameters of diffusional kurtosis imaging for the diagnosis of acute cerebral infarction in different brain regions.

Yue-Lin Guo, Su-Juan Li, Zhong-Ping Zhang, Zhi-Wei Shen, Gui-Shan Zhang, Gen Yan, Yan-Ting Wang, Hai-Bing Rao, Wen-Bin Zheng, Ren-Hua Wu

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

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  16. Commentary.Journal of neurosciences in rural practice
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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

10 authors at 2 institutions in 1 country.

Yue-Lin GuoDepartment of Radiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, P.R. China.
Su-Juan LiDepartment of Radiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, P.R. China.
Zhong-Ping ZhangGE Healthcare, Guangzhou, Guangdong 510623, P.R. China.
Zhi-Wei ShenDepartment of Radiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, P.R. China.
Gui-Shan ZhangCollege of Engineering, Shantou University, Shantou, Guangdong 515000, P.R. China.
Gen YanDepartment of Radiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, P.R. China.
Yan-Ting WangDepartment of Radiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, P.R. China.
Hai-Bing RaoDepartment of Radiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, P.R. China.
Wen-Bin ZhengDepartment of Radiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, P.R. China.
Ren-Hua WuDepartment of Radiology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515000, P.R. China.
Shantou University · CNSecond Affiliated Hospital of Shantou University Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diffusional kurtosis imaging (DKI) is a new type diffusion-weighted sequence which measures the non-Gaussianity of water diffusion. The present study aimed to investigate whether the parameters of DKI could distinguish between differences in water molecule diffusion in various brain regions under the conditions of acute infarction and to identify the optimal DKI parameter for locating ischemic lesions in each brain region. A total of 28 patients with acute ischemic stroke in different brain regions were recruited for the present study. The relative values of DKI parameters were selected as major assessment indices, and the homogeneity of background image and contrast of adjacent structures were used as minor assessment indices. According to the brain region involved in three DKI parametric maps, including mean kurtosis (MK), axial kurtosis (Ka) and radial kurtosis (Kr), 112 groups of regions of interest were outlined in the following regions: Corpus callosum (n=17); corona radiata (n=26); thalamus (n=21); subcortical white matter (n=24); and cerebral cortex (n=24). For ischemic lesions in the corpus callosum and corona radiata, significant increases in relative Ka were detected, as compared with the other parameters (P<0.05). For ischemic lesions in the thalamus, subcortical white matter and cerebral cortices, an increase in the three parameters was detected, however this difference was not significant. Minor assessment indices demonstrated that Ka lacked tissue contrast and the background of Kr was heterogeneous; thus, MK was the superior assessment parameter for ischemic lesions in these regions. In conclusion, Ka is better suited for the diagnosis of acute ischemic lesions in highly anisotropic brain regions, such as the corpus callosum and corona radiate. MK may be appropriate for the lesions in low anisotropic or isotropic brain regions, such as the thalamus, subcortical white matter and cerebral cortices.

Indexed as

diffusionischemiakurtosismagnetic resonance imagingstroke

Identifiers

PMID27446298
PMCPMC4950828
OpenAlexW2398985799

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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.