Evidence map›Paper›PMID 34187242›Full record

ArticleThe neuroradiology journal2022

Whole brain atlas-based diffusion kurtosis imaging parameters for evaluation of minimal hepatic encephalopathy.

Prateek Gupta, Sameer Vyas, Teddy Salan, Chirag Jain, Sunil Taneja, R K Dhiman, Paramjeet Singh, Chirag K Ahuja, Nirmalya Ray, Varan Govind

Open access · bronzeAbstract read
In one paragraph

Article in The neuroradiology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 10 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

10 authors at 2 institutions in 2 countries.

Prateek GuptaDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Sameer VyasDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.ORCID https://orcid.org/0000-0002-0113-0486
Teddy SalanDepartment of Radiology, University of Miami, USA.
Chirag JainDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.ORCID https://orcid.org/0000-0001-9674-9371
Sunil TanejaDepartment of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
R K DhimanDepartment of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Paramjeet SinghDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Chirag K AhujaDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Nirmalya RayDepartment of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Varan GovindDepartment of Radiology, University of Miami, USA.
Post Graduate Institute of Medical Education and Research · INUniversity of Miami · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposesMinimal hepatic encephalopathy (MHE) has no recognizable clinical symptoms, but patients have cognitive and psychomotor deficits. Hyperammonemia along with neuroinflammation lead to microstructural changes in cerebral parenchyma. Changes at conventional imaging are detected usually at the overt clinical stage, but microstructural alterations by advanced magnetic resonance imaging techniques can be detected at an early stage. MATERIALS AND

methodsWhole brain diffusion kurtosis imaging (DKI) data acquired at 3T was analyzed to investigate microstructural parenchymal changes in 15 patients with MHE and compared with 15 age- and sex-matched controls. DKI parametric maps, namely kurtosis fractional anisotropy (kFA), mean kurtosis (MK), axial kurtosis (AK) and radial kurtosis (RK), were evaluated at 64 white matter (WM) and gray matter (GM) regions of interest (ROIs) in the whole brain and correlated with the psychometric hepatic encephalopathy score (PHES).

resultsThe MHE group showed a decrease in kFA and AK across the whole brain, whereas MK and RK decreased in WM ROIs but increased in several cortical and deep GM ROIs. These alterations were consistent with brain regions involved in cognitive function. Significant moderate to strong correlations (-0.52 to -0.66; 0.56) between RK, MK and kFA kurtosis metrics and PHES were observed.

conclusionDKI parameters show extensive microstructural brain abnormalities in MHE with minor correlation between the severity of tissue damage and psychometric scores.

Indexed as

Hepatic EncephalopathyWhite MatterBrainDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingGray MatterHumansdiffusion kurtosis imagingHepatic encephalopathymagnetic resonance imaging

Identifiers

PMID34187242
PMCPMC8826285
OpenAlexW3175482349

What OpenQuestion holds

Textmetadata
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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.