Evidence map›Paper›PMID 39045205›Full record

ArticleEuropean heart journal. Imaging methods and practice2024

Four-dimensional analysis of aortic root motion in normal population using retrospective multiphase computed tomography.

Xun Yuan, Xiaoxin Kan, Jianpeng Li, Yang Yan, Saeed Mirsadraee, Tarun Mittal, Andrew Shah, Debbie Saunders, Xiao Yun Xu, Christoph A Nienaber

Abstract read
In one paragraph

Article in European heart journal. Imaging methods and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Xun YuanCardiology and Aortic Centre, Royal Brompton & Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, Sydney Street, London SW3 6NP, UK.ORCID https://orcid.org/0000-0001-6843-6466
Xiaoxin KanCenter for Vascular Surgery and Wound Care, Jinshan Hospital, Fudan University, Shanghai, China.
Jianpeng LiDepartment of Cardiovascular Surgery, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yang YanDepartment of Cardiovascular Surgery, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Saeed MirsadraeeNational Heart and Lung Institute, School of Medicine, Imperial College London, Exhibition Road, London SW7 2BX, UK.ORCID https://orcid.org/0000-0003-3051-4355
Tarun MittalNational Heart and Lung Institute, School of Medicine, Imperial College London, Exhibition Road, London SW7 2BX, UK.
Andrew ShahDepartment of Radiology, East and North Hertfordshire NHS Foundation Trust, Middlesex, UK.
Debbie SaundersDepartment of Radiology, East and North Hertfordshire NHS Foundation Trust, Middlesex, UK.
Xiao Yun XuDepartment of Chemical Engineering, Imperial College London, London, UK.
Christoph A NienaberCardiology and Aortic Centre, Royal Brompton & Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, Sydney Street, London SW3 6NP, UK.ORCID https://orcid.org/0000-0001-9671-8030

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Aortic root motion is suspected to contribute to proximal aortic dissection. While motion of the aorta in four dimensions can be traced with real-time imaging, displacement and rotation in quantitative terms remain unknown. The hypothesis was to show feasibility of quantification of three-dimensional aortic root motion from dynamic CT imaging. Methods and results: Dynamic CT images of 40 patients for coronary assessment were acquired using a dynamic protocol. Scans were ECG-triggered and segmented in 10 time-stepped phases (0-90%) per cardiac cycle. With identification of the sinotubular junction (STJ), a patient-specific co-ordinate system was created with the Conclusion:

Indexed as

aortic aneurysmaortic dissectionaortic root motiondynamic imagingmultiphase CTroot displacement

Identifiers

PMID39045205
PMCPMC11195731

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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.