Evidence map›Paper›PMID 40641123›Full record

ArticlePhysiological reports2025

Comparative analysis of the ten Tusscher and Tomek human ventricular cell models at cellular, tissue, and organ levels: Implications for post-infarct ventricular tachycardia simulation.

Ruiqing Dong, Zhenyin Fu, Chuxin Zhang, Yumeng Liu, Yiming Wang, Nan Zhang, Zefeng Wang, Jun Hou, Ling Xia, Yongquan Wu and 2 more

Abstract readComparative Study
In one paragraph

Article in Physiological reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

12 authors.

Ruiqing DongDepartment of Cardiology, The Fourth Affiliated Hospital of Soochow University, Suzhou, China.
Zhenyin FuCollege of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China.
Chuxin ZhangSchool of Biomedical Engineering, Dalian University of Technology, Dalian, Liaoning, China.
Yumeng LiuDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Yiming WangSchool of Biomedical Engineering, Dalian University of Technology, Dalian, Liaoning, China.
Nan ZhangDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Zefeng WangDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Jun HouDepartment of Cardiology, The Fourth Affiliated Hospital of Soochow University, Suzhou, China.
Ling XiaCollege of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China.
Yongquan WuDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Shijie ZhouDepartment of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, Massachusetts, USA.
Dongdong DengSchool of Biomedical Engineering, Dalian University of Technology, Dalian, Liaoning, China.ORCID 0000-0001-8470-4416

Funding

Capital Medical University Major Science and Technology Innovation Research and Development Special Fund KCZD202201Gusu Talent Program GSWS2021065Key Research and Development Program of Zhejiang Province 2020C03016Key Research and Development Program of Zhejiang Province 2023C03088Key Research project of Zhejiang 2022ND0AC01National Natural Science Foundation of China (NSFC) 62171408
6 · The paper itself

Abstract

Computational modeling is a tool for exploring both normal electrical propagation in healthy hearts and cardiac arrhythmias in patients. While numerous human ventricular cell models exist, the ten Tusscher (TT2) model is one of the most used for simulating ventricular arrhythmia. Recently, the Tomek model has been proposed, offering improved accuracy by better reproducing key depolarization, repolarization, and calcium dynamics in healthy ventricular cardiomyocytes. However, a quantitatively comprehensive comparison of these models at the single-cell, tissue, and organ levels has not been conducted. This study systematically compared the TT2 and Tomek models by evaluating electrophysiological parameters and reentrant properties in 0-dimensional(0D), 1-dimensional(1D), 2-dimensional (2D), and 3-dimensional (3D) simulations. Additionally, the effects of ion currents modifications to simulate ischemic scar-related tissue were analyzed. These results reveal that although the TT2 and Tomek models demonstrate distinct 0D, 1D, and 2D characteristics, their 3D reentrant properties-specifically in terms of reentry locations and critical conduction channels-are highly comparable. Therefore, both models are suitable for simulating post-infarct ventricular tachycardia (VT), as their shared 3D features effectively capture the essential mechanisms underlying this arrhythmia.

Indexed as

Computer SimulationHeart VentriclesModels, CardiovascularMyocardial InfarctionMyocytes, CardiacTachycardia, VentricularAction PotentialsHumansSingle-Cell Analysisactional potential durationconduction velocityscar‐related tissueten Tusscher modelTomek model

Identifiers

PMID40641123
PMCPMC12246384

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.