Evidence map›Paper›PMID 37022611›Full record

ArticleJournal of cardiovascular translational research2023

Assessing Complex Left Ventricular Adaptations in Aortic Stenosis Using Personalized 3D + time Cardiac MRI Modeling.

Shoon Hui Chuah, Nor Ashikin Md Sari, Li Kuo Tan, Yin Kia Chiam, Bee Ting Chan, Yang Faridah Abdul Aziz, Jeyaraaj Jeyabalan, Khairunnisa Hasikin, Yih Miin Liew

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Article in Journal of cardiovascular translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 46% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

9 authors at 2 institutions in 1 country.

Shoon Hui ChuahDepartment of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Nor Ashikin Md SariDepartment of Medicine, Faculty of Medicine, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Li Kuo TanDepartment of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Yin Kia ChiamDepartment of Software Engineering, Faculty of Computer Science and Information Technology, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Bee Ting ChanDepartment of Mechanical, Materials and Manufacturing Engineering, Faculty of Science and Engineering, University of Nottingham Malaysia, Jalan Broga, 43500, Semenyih, Malaysia.
Yang Faridah Abdul AzizUniversity Malaya Research Imaging Centre, Faculty of Medicine, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Jeyaraaj JeyabalanDepartment of Biomedical Imaging, Faculty of Medicine, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Khairunnisa HasikinDepartment of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
Yih Miin LiewDepartment of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, 50603, Kuala Lumpur, Malaysia. liewym@um.edu.my.ORCID 0000-0003-2487-3933
University of Malaya · MYUniversity of Nottingham Malaysia Campus · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Left ventricular adaptations can be a complex process under the influence of aortic stenosis (AS) and comorbidities. This study proposed and assessed the feasibility of using a motion-corrected personalized 3D + time LV modeling technique to evaluate the adaptive and maladaptive LV response to aid treatment decision-making. A total of 22 AS patients were analyzed and compared against 10 healthy subjects. The 3D + time analysis showed a highly distinct and personalized pattern of remodeling in individual AS patients which is associated with comorbidities and fibrosis. Patients with AS alone showed better wall thickening and synchrony than those comorbid with hypertension. Ischemic heart disease in AS caused impaired wall thickening and synchrony and systolic function. Apart from showing significant correlations to echocardiography and clinical MRI measurements (r: 0.70-0.95; p < 0.01), the proposed technique helped in detecting subclinical and subtle LV dysfunction, providing a better approach to evaluate AS patients for specific treatment, surgical planning, and follow-up recovery.

Indexed as

Aortic Valve StenosisVentricular Dysfunction, LeftEchocardiographyHeart VentriclesHumansMagnetic Resonance ImagingVentricular Function, Left3D + time modelsAortic stenosisComorbiditiesLeft ventricle adaptationLV remodelingMRI

Identifiers

PMID37022611
OpenAlexW4362657129

What OpenQuestion holds

Textmetadata
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.