Evidence map›Paper›PMID 39528856›Full record

ArticleBiomechanics and modeling in mechanobiology2025

Comparison and identification of human coronary plaques with/without erosion using patient-specific optical coherence tomography-based fluid-structure interaction models: a pilot study.

Yanwen Zhu, Chen Zhao, Zheyang Wu, Akiko Maehara, Dalin Tang, Liang Wang, Zhanqun Gao, Yishuo Xu, Rui Lv, Mengde Huang and 6 more

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 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. Biomechanical stress profiling in coronary arteries via two-phase blood FSI.Biomechanics and modeling in mechanobiology · 2025
    Article
  2. Optical Coherence Tomography in Acute Coronary Syndromes.Reviews in cardiovascular medicine · 2025
    Review
  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

16 authors.

Yanwen Zhu *School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
Chen Zhao *Department of Cardiology, The 2nd Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, Harbin, 150086, China.
Zheyang WuMathematical Sciences Department, Worcester Polytechnic Institute, Worcester, MA, 01609, USA.
Akiko MaeharaThe Cardiovascular Research Foundation, Columbia University, New York, NY, 10022, USA.
Dalin TangSchool of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China. dtang@wpi.edu.
Liang WangSchool of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
Zhanqun GaoDepartment of Cardiology, The 2nd Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, Harbin, 150086, China.
Yishuo XuDepartment of Cardiology, The 2nd Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, Harbin, 150086, China.
Rui LvDepartment of Cardiac Surgery, Shandong Second Provincial General Hospital, Jinan, 250022, China.
Mengde HuangSchool of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
Xiaoguo ZhangDepartment of Cardiology, Zhongda Hospital, Southeast University, Nanjing, 210009, China.
Jian ZhuDepartment of Cardiology, Zhongda Hospital, Southeast University, Nanjing, 210009, China.
Haibo JiaDepartment of Cardiology, The 2nd Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, Harbin, 150086, China. jhb101180@163.com.
Bo YuDepartment of Cardiology, The 2nd Affiliated Hospital of Harbin Medical University, National Key Laboratory of Frigid Zone Cardiovascular Diseases, Harbin, 150086, China.
Minglong ChenFirst Affiliated Hospital, Nanjing Medical University, Nanjing, 210029, China. chenminglong@njmu.edu.cn.
Gary S MintzThe Cardiovascular Research Foundation, Columbia University, New York, NY, 10022, USA.

Funding

Jiangsu Province Science and Technology Agency BE2016785Key R&D project of Heilongjiang Province grant 2022ZX06C07National Sciences Foundation of China grants 11802060National Sciences Foundation of China grants 11972117Natural Science Foundation of China 81722025Natural Science Foundation of China 81827806Natural Science Foundation of Jiangsu Province BK20180352
6 · The paper itself

Abstract

Plaque erosion (PE) with secondary thrombosis is one of the key mechanisms of acute coronary syndrome (ACS) which often leads to drastic cardiovascular events. Identification and prediction of PE are of fundamental significance for disease diagnosis, prevention and treatment. In vivo optical coherence tomography (OCT) data of eight eroded plaques and eight non-eroded plaques were acquired to construct three-dimensional fluid-structure interaction models and obtain plaque biomechanical conditions for investigation. Plaque stenosis severity, plaque burden, plaque wall stress (PWS) and strain (PWSn), flow shear stress (FSS), and ΔFSS (FSS variation in time) were extracted for comparison and prediction. A logistic regression model was used to predict plaque erosion. Our results indicated that the combination of mean PWS and mean ΔFSS gave best prediction (AUC = 0.866, 90% confidence interval (0.717, 1.0)). The best single predictor was max ΔFSS (AUC = 0.819, 90% confidence interval (0.624, 1.0)). The average of maximum FSS values from eroded plaques was 76% higher than that from the non-eroded plaques (127.96 vs. 72.69 dyn/cm

Indexed as

Patient-Specific ModelingPlaque, AtheroscleroticTomography, Optical CoherenceAgedFemaleHumansMaleMiddle AgedPilot ProjectsStress, MechanicalErosion identificationFluid–structure interactionOptical coherence tomographyPlaque erosionVulnerable plaque

Identifiers

PMID39528856
PMCPMC11846753

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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.