Evidence map›Paper›PMID 24222920›Full record

ReviewBioMed research international2013

Multimodality molecular imaging of stem cells therapy for stroke.

Fangfang Chao, Yehua Shen, Hong Zhang, Mei Tian

Abstract readReview
In one paragraph

Review in BioMed research international, 2013. 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.

  1. Reporter Genes for Brain Imaging Using MRI, SPECT and PET.International journal of molecular sciences · 2022
    Review
  2. Functional endoscopy techniques for tracking stem cell fate.Quantitative imaging in medicine and surgery · 2019
    Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. In vivo cell tracking with bioluminescence imaging.Nuclear medicine and molecular imaging · 2015
    Review
  8. Article
  9. Review
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

4 authors.

Fangfang ChaoDepartment of Nuclear Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, 88 Jiefang Road, Hangzhou, 310009 Zhejiang, China ; Zhejiang University Medical PET Center, Zhejiang University, Hangzhou, China ; Institute of Nuclear Medicine and Molecular Imaging, Zhejiang University, Hangzhou, China ; Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China.
Yehua Shen
Hong Zhang
Mei Tian

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stem cells have been proposed as a promising therapy for treating stroke. While several studies have demonstrated the therapeutic benefits of stem cells, the exact mechanism remains elusive. Molecular imaging provides the possibility of the visual representation of biological processes at the cellular and molecular level. In order to facilitate research efforts to understand the stem cells therapeutic mechanisms, we need to further develop means of monitoring these cells noninvasively, longitudinally and repeatedly. Because of tissue depth and the blood-brain barrier (BBB), in vivo imaging of stem cells therapy for stroke has unique challenges. In this review, we describe existing methods of tracking transplanted stem cells in vivo, including magnetic resonance imaging (MRI), nuclear medicine imaging, and optical imaging (OI). Each of the imaging techniques has advantages and drawbacks. Finally, we describe multimodality imaging strategies as a more comprehensive and potential method to monitor transplanted stem cells for stroke.

Indexed as

Cell- and Tissue-Based TherapyStem Cell TransplantationBlood-Brain BarrierCell TrackingGenetic TherapyHumansMagnetic Resonance ImagingMolecular ImagingStem CellsStroke

Identifiers

PMID24222920
PMCPMC3816035

What OpenQuestion holds

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LicenceCC BY
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.