Evidence map›Paper›PMID 28390526›Full record

ReviewMagnetic resonance imaging clinics of North America2017

Attenuation Correction of PET/MR Imaging.

Yasheng Chen, Hongyu An

Abstract readReview
In one paragraph

Review in Magnetic resonance imaging clinics of North America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
–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

46 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  4. Review
  5. Article
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  9. Article
  10. Context-Aware Transformer GAN for Direct Generation of Attenuation and Scatter Corrected PET Data.IEEE transactions on radiation and plasma medical sciences · 2024
    Article
  11. Article
  12. Article
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  15. Review
  16. Review
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  19. Article
  20. MRI techniques for immunotherapy monitoring.Journal for immunotherapy of cancer · 2022
    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

2 authors.

Yasheng ChenDepartment of Neurology, BJC Institute of Health - WUSM 09205, Washington University in St. Louis, St Louis, MO 63110, USA.
Hongyu AnMallinckrodt Institute of Radiology, Washington University in St. Louis, 510 South Kingshighway, WPAV CCIR, CB 8131, St Louis, MO 63110, USA. Electronic address: hongyuan@wustl.edu.

Funding

Rapid, robust and non-invasive cerebral oxygenation measurements using MRIR01NS082561 · NINDS · WASHINGTON UNIVERSITY · PI AN, HONGYU · 2014 to 2018
$2.8M
NINDS CENTER CORE FOR BRAIN IMAGINGP30NS098577 · NINDS · WASHINGTON UNIVERSITY · PI HERSHEY, TAMARA G, MARCUS, DANIEL SCOTT · 2016 to 2019
$2.4M
NINDS NIH HHS P30 NS098577NINDS NIH HHS R01 NS082561
6 · The paper itself

Abstract

PET/MR is a promising multimodality imaging approach. Attenuation is by far the largest correction required for quantitative PET imaging. MR-based attenuation correction have been extensively pursued, especially for brain imaging, in the past several years. In this article, we review atlas and direct imaging MR-based PET attenuation correction methods. The technical principles behind these methods are detailed and the advantages and disadvantages of these methods are discussed.

Indexed as

BrainHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMultimodal ImagingPositron-Emission TomographyAtlasAttenuation correctionMRPETUTEZTE

Identifiers

PMID28390526
PMCPMC5385843

What OpenQuestion holds

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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.