Non-invasive imaging techniques and assessment of carotid vasa vasorum neovascularization: Promises and pitfalls

被引:8
作者
Pereira, T. [1 ,2 ]
Betriu, A. [3 ,4 ]
Alves, R. [1 ,2 ]
机构
[1] Lleida Dr Pifarre Fdn, Inst Biomed Res, Catalonia, Spain
[2] Univ Lleida, Dept Ciencies Med Basiques, Catalonia, Spain
[3] Hosp Univ Arnau Vilanova Lleida, Unit Detect & Treatment Atherothrombot Dis, Catalonia, Spain
[4] Vasc & Renal Translat Res Grp IRBLIeida, Catalonia, Spain
关键词
Carotid imaging techniques; Vasa vasorum neovascularization; Atherosclerotic process; Automatic methods; CONTRAST-ENHANCED ULTRASOUND; IN-VIVO SEGMENTATION; COMPUTED-TOMOGRAPHY; INTRAPLAQUE NEOVASCULARIZATION; ATHEROSCLEROTIC PLAQUE; AUTOMATIC SEGMENTATION; FAR-WALL; ARTERY; MRI; QUANTIFICATION;
D O I
10.1016/j.tcm.2018.06.007
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Carotid adventitia vasa vasorum neovascularization (VVn) is associated with the initial stages of arteriosclerosis and with the formation of unstable plaque. However, techniques to accurately quantify that neovascularization in a standard, fast, non-invasive, and efficient way are still lacking. The development of such techniques holds the promise of enabling wide, inexpensive, and safe screening programs that could stratify patients and help in personalized preventive cardiovascular medicine. In this paper, we review the recent scientific literature pertaining to imaging techniques that could set the stage for the development of standard methods for quantitative assessment of atherosclerotic plaque and carotid VVn. We present and discuss the alternative imaging techniques being used in clinical practice and we review the computational developments that are contributing to speed up image analysis and interpretation. We conclude that one of the greatest upcoming challenges will be the use of machine learning techniques to develop automated methods that assist in the interpretation of images to stratify patients according to their risk. (C) 2018 Elsevier Inc. All rights reserved.
引用
收藏
页码:71 / 80
页数:10
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