Evidence map›Paper›PMID 26824078›Full record

ArticleTomography (Ann Arbor, Mich.)2015

Simultaneous T

Chaitra Badve, Alice Yu, Matthew Rogers, Dan Ma, Yiying Liu, Mark Schluchter, Jeffrey Sunshine, Mark Griswold, Vikas Gulani

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Simultaneous Arterial and Venous Imaging Using 3D Quantitative Parameter Mapping.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

9 authors.

Chaitra BadveDepartment of Radiology, Case Western Reserve University and University Hospitals of Cleveland, 11100 Euclid Avenue, Cleveland, Ohio 44106, USA.
Alice YuSchool of Medicine, Case Western Reserve University, 11100 Euclid Avenue, Cleveland, Ohio 44106, USA.
Matthew RogersSchool of Medicine, Case Western Reserve University, 11100 Euclid Avenue, Cleveland, Ohio 44106, USA.
Dan MaDepartment of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, USA.
Yiying LiuBiostatistics and Bioinformatics Core, Case Western Reserve University, 11100 Euclid Avenue, Cleveland, Ohio 44106, USA.
Mark SchluchterBiostatistics and Bioinformatics Core, Case Western Reserve University, 11100 Euclid Avenue, Cleveland, Ohio 44106, USA.
Jeffrey SunshineDepartment of Radiology, Case Western Reserve University and University Hospitals of Cleveland, 11100 Euclid Avenue, Cleveland, Ohio 44106, USA.
Mark GriswoldDepartment of Radiology, Case Western Reserve University and University Hospitals of Cleveland, 11100 Euclid Avenue, Cleveland, Ohio 44106, USA; Department of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, USA.
Vikas GulaniDepartment of Radiology, Case Western Reserve University and University Hospitals of Cleveland, 11100 Euclid Avenue, Cleveland, Ohio 44106, USA; Department of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, Ohio 44106, USA.

Funding

Comprehensive quantitative ultrafast 3D liver MRIR01DK098503 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI GULANI, VIKAS, SEIBERLICH, NICOLE · 2013 to 2017
$2.6M
Magnetic Resonance Fingerprinting (MRF) for Improved High Field MRR01EB017219 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI GRISWOLD, MARK · 2013 to 2016
$2.5M
Optimization of MR Fingerprinting (MRF) for Quantitative MRIR01EB016728 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI GRISWOLD, MARK, GULANI, VIKAS · 2014 to 2017
$2.0M
NIBIB NIH HHS R01 EB016728NIBIB NIH HHS R01 EB017219NIDDK NIH HHS R01 DK098503
6 · The paper itself

Abstract

Magnetic resonance fingerprinting (MRF) is a method of image acquisition that produces multiple MR parametric maps from a single scan. Here, we describe the normal range and progression of MRF-derived relaxometry values with age in healthy individuals. 56 normal volunteers (ages 11-71 years, M:F 24:32) were scanned. Regions of interest were drawn on T

Indexed as

agingMR FingerprintingrelaxometryT1 mappingT2 mapping

Identifiers

PMID26824078
PMCPMC4727840

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.