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拓扑数据分析在冠状动脉粥样硬化评估中的应用:一项全面的叙述性综述

Topological Data Analysis in the Assessment of Coronary Atherosclerosis: A Comprehensive Narrative Review.

作者信息

Singh Yashbir, Hathaway Quincy A, Farrelly Colleen, Budoff Matthew J, Erickson Bradley, Collins Jeremy D, Blaha Michael J, Leiner Tim, Lopez-Jimenez Francisco, Rozenblit Jennifer, Sarkar Deepa, Carlsson Gunnar

机构信息

Department of Radiology, Mayo Clinic, Rochester, MN.

Department of Radiology, University of Pennsylvania, Philadelphia, PA.

出版信息

Mayo Clin Proc Digit Health. 2025 Feb 20;3(2):100199. doi: 10.1016/j.mcpdig.2025.100199. eCollection 2025 Jun.

DOI:10.1016/j.mcpdig.2025.100199
PMID:40568615
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12190947/
Abstract

Plaque build-up in the coronary arteries can restrict blood flow or become unstable and contribute to cardiovascular events. Evaluating these plaques is essential for cardiovascular risk stratification and determining the most appropriate treatment strategies. This review aimed to investigate the potential of topological data analysis (TDA), a novel technique, in assessing coronary atherosclerosis. We perform a narrative review of the emerging TDA field, discussing its basic principles and advantages over traditional methods, which often struggle to capture the intricate patterns and relationships within coronary plaques. Topological data analysis can evaluate coronary atherosclerosis in novel ways using variations in the cover and filtration functions of the algorithm, highlighting new ways to characterize calcified and noncalcified plaques. It also highlights the potential of TDA in enhancing the understanding and management of this complex disease. Despite the challenges and future directions, which need to be addressed, TDA shows potential as a valuable tool in assessing coronary atherosclerosis, specifically in noncalcified plaque detection, possibly surpassing traditional techniques in capturing the disease's intricate patterns. A Pubmed, Google Scholar, Scopus - based literature review was undertaken using the following search terms: .

摘要

冠状动脉中的斑块积聚可限制血流或变得不稳定,并导致心血管事件。评估这些斑块对于心血管风险分层和确定最合适的治疗策略至关重要。本综述旨在研究一种新技术——拓扑数据分析(TDA)在评估冠状动脉粥样硬化方面的潜力。我们对新兴的TDA领域进行了叙述性综述,讨论了其基本原理以及相对于传统方法的优势,传统方法往往难以捕捉冠状动脉斑块内复杂的模式和关系。拓扑数据分析可以通过算法的覆盖和过滤函数的变化以新颖的方式评估冠状动脉粥样硬化,突出了表征钙化和非钙化斑块的新方法。它还强调了TDA在增强对这种复杂疾病的理解和管理方面的潜力。尽管存在需要解决的挑战和未来方向,但TDA显示出作为评估冠状动脉粥样硬化的有价值工具的潜力,特别是在非钙化斑块检测方面,在捕捉疾病复杂模式方面可能超越传统技术。使用以下搜索词进行了基于PubMed、谷歌学术、Scopus的文献综述: 。

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本文引用的文献

1
Topological Data Analysis Identified Prognostically-Distinct Phenotypes in Transcatheter Edge-to-Edge Repair Patients.拓扑数据分析确定经导管边缘对边缘修复患者的预后不同表型。
Mayo Clin Proc Digit Health. 2023 Aug 8;1(3):381-392. doi: 10.1016/j.mcpdig.2023.07.002. eCollection 2023 Sep.
2
A novel multi-task machine learning classifier for rare disease patterning using cardiac strain imaging data.一种利用心脏应变成像数据对罕见疾病进行模式识别的新型多任务机器学习分类器。
Sci Rep. 2024 May 9;14(1):10672. doi: 10.1038/s41598-024-61201-4.
3
Advancing Precision Medicine: Algebraic Topology and Differential Geometry in Radiology and Computational Pathology.
推进精准医学:放射学和计算病理学中的代数拓扑和微分几何。
Lab Invest. 2024 Jun;104(6):102060. doi: 10.1016/j.labinv.2024.102060. Epub 2024 Apr 16.
4
Non-stenotic fibro-calcific aortic valve as a predictor of myocardial infarction recurrence.非狭窄性纤维钙化主动脉瓣作为心肌梗死复发的预测指标
Eur J Prev Cardiol. 2024 Feb 14. doi: 10.1093/eurjpc/zwae062.
5
Topological Data Analysis in Cardiovascular Signals: An Overview.心血管信号中的拓扑数据分析:综述
Entropy (Basel). 2024 Jan 12;26(1):67. doi: 10.3390/e26010067.
6
TTN: Topological Transformer Network for Automated Coronary Artery Branch Labeling in Cardiac CT Angiography.TTN:用于心脏 CT 血管造影中自动冠状动脉分支标记的拓扑变换网络。
IEEE J Transl Eng Health Med. 2023 Nov 1;12:129-139. doi: 10.1109/JTEHM.2023.3329031. eCollection 2024.
7
Phenogrouping and risk stratification of patients undergoing cardiac resynchronization therapy upgrade using topological data analysis.应用拓扑数据分析对行心脏再同步化治疗升级的患者进行表型分组和风险分层。
Sci Rep. 2023 Nov 23;13(1):20594. doi: 10.1038/s41598-023-47092-x.
8
Detection of Various Microplastics in Patients Undergoing Cardiac Surgery.心脏手术患者体内各种微塑料的检测
Environ Sci Technol. 2023 Aug 1;57(30):10911-10918. doi: 10.1021/acs.est.2c07179. Epub 2023 Jul 13.
9
Topological data analysis in medical imaging: current state of the art.医学成像中的拓扑数据分析:当前技术现状
Insights Imaging. 2023 Apr 1;14(1):58. doi: 10.1186/s13244-023-01413-w.
10
Topological data analysis of thoracic radiographic images shows improved radiomics-based lung tumor histology prediction.胸部X光影像的拓扑数据分析显示基于影像组学的肺肿瘤组织学预测得到改善。
Patterns (N Y). 2022 Dec 12;4(1):100657. doi: 10.1016/j.patter.2022.100657. eCollection 2023 Jan 13.