Evidence map›Paper›PMID 29470156›Full record

ArticleAJR. American journal of roentgenology2018

JOURNAL CLUB: Evaluation of Diffusion Kurtosis Imaging of Stroke Lesion With Hemodynamic and Metabolic MRI in a Rodent Model of Acute Stroke.

Dongshuang Lu, Yinghua Jiang, Yang Ji, Iris Yuwen Zhou, Emiri Mandeville, Eng H Lo, Xiaoying Wang, Phillip Zhe Sun

Open access · greenAbstract read
In one paragraph

Article in AJR. American journal of roentgenology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Fast correction of BMagnetic resonance in medicine · 2020
    Article
  13. Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Dongshuang Lu1 Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 13th St, Rm 2301, Charlestown, MA 02129.
Yinghua Jiang3 Neuroprotection Research Laboratory, Department of Radiology and Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA.
Yang Ji1 Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 13th St, Rm 2301, Charlestown, MA 02129.
Iris Yuwen Zhou1 Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 13th St, Rm 2301, Charlestown, MA 02129.
Emiri Mandeville3 Neuroprotection Research Laboratory, Department of Radiology and Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA.
Eng H Lo3 Neuroprotection Research Laboratory, Department of Radiology and Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA.
Xiaoying Wang3 Neuroprotection Research Laboratory, Department of Radiology and Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA.
Phillip Zhe Sun1 Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 149 13th St, Rm 2301, Charlestown, MA 02129.
Capital Medical University · CNUniversity of Science and Technology of China · CN

Funding

Yerkes National Primate Research Center Role of type-I IFN in regulating COVID-19 induced inflammation and pathogenesisP51OD011132 · OD · EMORY UNIVERSITY · PI Joon Sup Lee · 2012 to 2026
$167.0M
Establishment of fast pH MRI for imaging metabolic injury during acute strokeR01NS083654 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Phillip Zhe Sun · 2013 to 2026
$4.0M
Development of kurtosis MRI to image acute stroke patientsR21NS085574 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI SUN, PHILLIP ZHE · 2013 to 2014
$475k
NIH HHS P51 OD011132NINDS NIH HHS R01 NS083654NINDS NIH HHS R21 NS085574
6 · The paper itself

Abstract

objectiveDiffusion kurtosis imaging (DKI) has emerged as a new acute stroke imaging approach, augmenting routine DWI. Although it has been shown that a diffusion lesion without kurtosis abnormality is more likely to recover after reperfusion, whereas a kurtosis lesion shows poor response, little is known about the underlying pathophysiologic profile of the kurtosis lesion versus the kurtosis lesion-diffusion lesion mismatch. MATERIALS AND

methodsWe performed multiparametric MRI, including arterial spin labeling, pH-sensitive amide proton transfer, and DKI, in a rodent model of acute stroke caused by embolic middle cerebral artery occlusion. Diffusion and kurtosis lesions were semiautomatically segmented, and multiparametric MRI indexes were compared among the kurtosis lesion, diffusion lesion, kurtosis lesion-diffusion lesion mismatch, and the contralateral normal tissue area.

resultsWe confirmed a significant difference between diffusion lesion and kurtosis lesion volumes (mean [± SD] volume, 151 ± 65 vs 125 ± 47 mm

conclusionThe present study confirms that DKI provides an expedient approach for refining the heterogeneous DWI lesion that is associated with graded metabolic derangement, which is promising for improving the infarction core definition and ultimately helping to guide stroke treatment.

Indexed as

Acute DiseaseAnimalsDiffusion Magnetic Resonance ImagingDisease Models, AnimalEcho-Planar ImagingImage Interpretation, Computer-AssistedMaleRatsRats, WistarSpin LabelsStrokeSpin Labelsacute strokeamide proton transferdiffusion kurtosis imagingDWIpH

Identifiers

PMID29470156
PMCPMC6814247
OpenAlexW2788550786

What OpenQuestion holds

Textmetadata
LicenceTDM
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.