Comparison of Non-Contrast Coronary MRA Image Quality at 5T and 3T Based on the SCCT Segmental Model: A Technical Feasibility Study in Healthy Volunteers.

Chuangwei Wei, Yan Xu, Runzhi Zhang, Wenjing Zhao, Nan Zhang, Jiayi Liu, Lei Xu, Zhaoying Wen

Abstract read

In one paragraph

Article in Journal of clinical medicine, 2026. 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

8 authors.

Chuangwei WeiDepartment of Radiology, Beijing Anzhen Hospital, Beijing Institute of Heart, Lung and Blood Vessel Disease, Capital Medical University, Beijing 100029, China.ORCID 0009-0004-6206-1236

Yan XuDepartment of Radiology, Beijing Anzhen Hospital, Beijing Institute of Heart, Lung and Blood Vessel Disease, Capital Medical University, Beijing 100029, China.

Runzhi ZhangDepartment of Radiology, Beijing Anzhen Hospital, Beijing Institute of Heart, Lung and Blood Vessel Disease, Capital Medical University, Beijing 100029, China.

Wenjing ZhaoDepartment of Radiology, Beijing Anzhen Hospital, Beijing Institute of Heart, Lung and Blood Vessel Disease, Capital Medical University, Beijing 100029, China.ORCID 0000-0001-6507-4594

Nan ZhangDepartment of Radiology, Beijing Anzhen Hospital, Beijing Institute of Heart, Lung and Blood Vessel Disease, Capital Medical University, Beijing 100029, China.ORCID 0000-0002-8309-4262

Jiayi LiuDepartment of Radiology, Beijing Anzhen Hospital, Beijing Institute of Heart, Lung and Blood Vessel Disease, Capital Medical University, Beijing 100029, China.ORCID 0000-0002-5617-7054

Lei XuDepartment of Radiology, Beijing Anzhen Hospital, Beijing Institute of Heart, Lung and Blood Vessel Disease, Capital Medical University, Beijing 100029, China.ORCID 0000-0002-8499-0448

Zhaoying WenDepartment of Radiology, Beijing Anzhen Hospital, Beijing Institute of Heart, Lung and Blood Vessel Disease, Capital Medical University, Beijing 100029, China.ORCID 0000-0003-3015-1179

Funding

National Natural Science Foundation of China 82202139

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

coronary arteriesimage qualitymagnetic resonance angiographymagnetic resonance imagingultra-high field

Identifiers

PMID42123244

DOI10.3390/jcm15093511

PMCPMC13164151

What OpenQuestion holds

Textmetadata

LicenceCC BY

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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.