Evidence map›Paper›PMID 27634050›Full record

ArticleMagnetic resonance in medicine2017

Black-blood native T

Sebastian Weingärtner, Nadja M Meßner, Frank G Zöllner, Mehmet Akçakaya, Lothar R Schad

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Dark-Blood AdiabaticBioengineering (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Article
  4. Black-Blood Contrast in Cardiovascular MRI.Journal of magnetic resonance imaging : JMRI · 2022
    Review
  5. Review
  6. Functional LGE Imaging: Cardiac Phase-Resolved Assessment of Focal Fibrosis.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2019
    Article
  7. Article
  8. Saturation-Recovery Myocardial TScientific reports · 2018
    Article
  9. Towards accurate and precise TMagma (New York, N.Y.) · 2018
    Review
  10. Simultaneous multislice imaging for native myocardial TMagnetic resonance in medicine · 2017
    Article
  11. THeart failure reviews · 2017
    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

5 authors.

Sebastian WeingärtnerComputer Assisted Clinical Medicine, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany.
Nadja M MeßnerComputer Assisted Clinical Medicine, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany.
Frank G ZöllnerComputer Assisted Clinical Medicine, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany.
Mehmet AkçakayaElectrical and Computer Engineering, University of Minnesota, Minneapolis, Minnesota, United States.
Lothar R SchadComputer Assisted Clinical Medicine, University Medical Center Mannheim, Heidelberg University, Mannheim, Germany.

Funding

Novel Accelerated Contrast-Enhanced High Resolution Coronary MRIR00HL111410 · NHLBI · UNIVERSITY OF MINNESOTA · PI AKCAKAYA, MEHMET · 2015 to 2017
$746k
NHLBI NIH HHS R00 HL111410
6 · The paper itself

Abstract

purposeTo study the feasibility of black-blood contrast in native T

methodsA saturation pulse prepared heart-rate-independent inversion recovery (SAPPHIRE) T

resultsPhantom results and in vivo myocardial T

conclusionBlack-blood SAPPHIRE successfully eliminates partial voluming at the blood pool in native myocardial T

Indexed as

Signal Processing, Computer-AssistedAdultBloodFemaleHeartHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMalePhantoms, Imagingblack-bloodMSDEpartial volumingSAPPHIRET1 Mapping

Identifiers

PMID27634050
PMCPMC5562488

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.