Evidence map›Paper›PMID 31691350›Full record

ArticleMagnetic resonance in medicine2020

Combined T

David Y Zeng, Corey A Baron, Mario O Malavé, Adam B Kerr, Phillip C Yang, Bob S Hu, Dwight G Nishimura

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

David Y ZengDepartment of Electrical Engineering, Stanford University, Stanford, California.ORCID 0000-0001-9063-2746
Corey A BaronDepartment of Electrical Engineering, Stanford University, Stanford, California.ORCID 0000-0001-7343-5580
Mario O MalavéDepartment of Electrical Engineering, Stanford University, Stanford, California.ORCID 0000-0003-0063-564X
Adam B KerrDepartment of Electrical Engineering, Stanford University, Stanford, California.
Phillip C YangDivision of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California.
Bob S HuDepartment of Electrical Engineering, Stanford University, Stanford, California.
Dwight G NishimuraDepartment of Electrical Engineering, Stanford University, Stanford, California.

Funding

Coronary Magnetic Resonance AngiographyR01HL127039 · NHLBI · STANFORD UNIVERSITY · PI NISHIMURA, DWIGHT · 2015 to 2023
$3.0M
NHLBI NIH HHS R01 HL127039
6 · The paper itself

Abstract

purposeTo develop a modular magnetization preparation sequence for combined T

methodsA combined T

resultsPhantom results demonstrated superior OVS for the proposed sequence compared with the Luo sequence. In studies on 15 healthy volunteers, the proposed sequence had superior image edge profile acutance values compared with the Luo sequence for the right (P < .05) and left (P < .05) coronary arteries, suggesting superior vessel sharpness. The proposed sequence also had superior signal-to-noise ratio (P < .05) and passband-to-stopband ratio (P < .05). Reader scores and reader preference indicated superior coronary image quality of the proposed sequence for both the right (P < .05) and left (P < .05) coronary arteries.

conclusionThe proposed sequence with concatenated 1D spatially selective tip-ups and integrated fat saturation has superior image quality and suppression compared with the Luo sequence with 2D spatially selective tip-up.

Indexed as

Coronary VesselsImage EnhancementHumansImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance AngiographyPhantoms, ImagingconescoronaryMR angiographyouter volume suppressionT2 preparation

Identifiers

PMID31691350
PMCPMC7047567

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.