Evidence map›Paper›PMID 41027031›Full record

ArticleJMIR medical informatics2025

Innovative Integration of 4D Cardiovascular Reconstruction and Hologram: Framework Development of a New Visualization Tool for Coronary Artery Bypass Grafting Planning.

Shuo Wang, Tong Ren, Nan Cheng, Li Zhang, Rong Wang

Abstract read
In one paragraph

Article in JMIR medical informatics, 2025. 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
–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

1 citing paper in PubMed.

  1. Article
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.

Shuo Wang *Department of Engineering Physics, Key Laboratory of Particle and Radiation Imaging, Ministry of Education, Tsinghua University, 30 Shuangqing Road, Haidian District, Beijing, 100084, China, 86 13910686306.ORCID 0009-0009-8987-3169
Tong Ren *Department of Adult Cardiac Surgery, Senior Department of Cardiology, The Six Medical Center of People's Liberation Army General Hospital, 6 Fucheng Road,, Haidian District, Beijing, 100048, China, +86 15801371359.ORCID 0009-0003-0708-5991
Nan ChengDepartment of Adult Cardiac Surgery, Senior Department of Cardiology, The Six Medical Center of People's Liberation Army General Hospital, 6 Fucheng Road,, Haidian District, Beijing, 100048, China, +86 15801371359.ORCID 0009-0002-6112-2768
Li ZhangDepartment of Engineering Physics, Key Laboratory of Particle and Radiation Imaging, Ministry of Education, Tsinghua University, 30 Shuangqing Road, Haidian District, Beijing, 100084, China, 86 13910686306.ORCID 0009-0008-7763-0349
Rong WangDepartment of Engineering Physics, Key Laboratory of Particle and Radiation Imaging, Ministry of Education, Tsinghua University, 30 Shuangqing Road, Haidian District, Beijing, 100084, China, 86 13910686306.ORCID 0009-0000-0371-8593

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Planning for coronary artery bypass grafting (CABG) necessitates advanced spatial visualization skills and consideration of multiple factors, including the depth of coronary arteries within the subepicardium, calcification levels, and pericardial adhesions. Objective: This study aimed to address these requirements by reconstructing a dynamic cardiovascular model, displaying it as a naked-eye hologram, and evaluating the clinical utility of this innovative visualization tool for preoperative CABG planning. Methods: We used preoperative 4D cardiac computed tomography angiography (4D-CCTA) data from 14 patients scheduled for CABG to develop a semiautomated workflow. This workflow enabled time-resolved segmentation of the heart chambers, epicardial adipose tissue (EAT), and coronary arteries, complete with calcium scoring. Methods for segmenting cardiac structures, quantifying coronary calcification, visualizing coronary depth within EAT, and assessing pericardial adhesions via motion analysis were incorporated. These dynamic reconstructions captured spatial relationships, coronary stenosis, calcification, and depth in EAT, as well as pericardial adhesions. Dynamic cardiovascular holograms were then generated and displayed using the Looking Glass platform (Looking Glass Factory Inc). Thirteen cardiac surgeons assessed the utility of the holographic visualization tool on a Likert scale. In addition, a surgeon visually scored pericardial adhesions using the holograms of all 21 patients (including 7 undergoing secondary cardiac surgeries) and compared these scores with actual intraoperative findings. Results: Cardiac surgeons highly rated the visualization tool for its utility in preoperative planning, with a mean Likert score of 4.57/5.0 (SD 0.5). The hologram-based scoring of pericardial adhesions showed a strong correlation with intraoperative findings (correlation coefficient r=0.786; P<.001). Conclusions: This study delineates the structural framework of a visualization tool specifically designed for preoperative CABG planning. It produces high-quality, clinically relevant, dynamic holograms from patient-specific volumetric data, with clinical feedback confirming its practicality and effectiveness for preoperative surgical planning.

Indexed as

Coronary Artery BypassHolographyAgedComputed Tomography AngiographyCoronary VesselsFemaleHumansMaleMiddle Aged4D cardiac CT angiogram4D cardiovascular modelingCABGcoronary artery bypass grafthologrampreoperative planning

Identifiers

PMID41027031
PMCPMC12483336

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Registered trials

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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.