Personalized lesion modification optimizes atherosclerosis intervention

个性化病变修饰优化动脉粥样硬化干预

• 批准号: 10346059
• 负责人: Elazer R Edelman
• 金额: $ 71.39万
• 依托单位: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10346059
• 关键词: Adipose tissue; Affect; Amaze; Angioplasty; Area; Arteries; Atherectomy; Atherosclerosis; Balloon Angioplasty; Benefits and Risks; Binding; Biology; Biomechanics; Blood Vessels; Calcium; Caliber; Cardiovascular Diseases; Characteristics; Clinical; Clinical Data; Clinical Trials; Communities; Complex; Computer Models; Computing Methodologies; Consensus; Coronary; Coronary Arteriosclerosis; Coronary heart disease; Data Analyses; Devices; Dimensions; Disease; Drops; Drug Delivery Systems; Engineering; Equilibrium; Esthesia; Event; Feedback; Future; Human; Image; Image Analysis; Industrialization; Intervention; Investigation; Left; Lesion; Link; Lipids; Lithotripsy; Measures; Mechanics; Methods; Microanatomy; Modeling; Modification; Morality; Morphology; Outcome; Penetration; Performance; Perioperative; Pharmaceutical Preparations; Procedures; Property; Science; Scientist; Standardization; Stents; Stress; Techniques; Technology; Therapeutic Intervention; Touch sensation; Treatment outcome; United States National Institutes of Health; Vascular Diseases; Work; base; calcification; deep learning; drug distribution; experience; experimental study; follow-up; grasp; image processing; imaging modality; implantation; innovation; insight; interdisciplinary approach; intervention delivery; local drug delivery; pharmacokinetic model; pre-clinical; predictive tools; response; restenosis; sound; success; treatment optimization; trend; uptake; virtual

The past half-century has seen an amazing trend. Linked advances in vascular biology, endovascular intervention and drug delivery have dropped morality from cardiovascular disease 4.5 fold. NIH support has blessed us with involvement in these endeavors and we are humbled by the accomplishments of the community. Yet, atherosclerotic disease is not eradicated, we do not fully grasp the vascular biology of obstructive vascular diseases, and interventional therapy is not at a standardized consensus. There is much to be learned in all areas especially for complex lesions where lesion modification is deemed indispensable. Increasingly sophisticated methods (e.g. orbital atherectomy, lithotripsy etc.) modify complex plaque before angioplasty or implantation of devices like stents, and yet modifications are still guided by operator personal experience. There are no criteria as to which technology to use and when, what constitutes sufficient modification and how to balance benefits and risks. Intravascular imaging can help visualize lesions peri-modification, but provides no functional feedback, forcing even experienced interventionalists to guide intricate procedures by sensation (touch, feel, even sound). What is needed and what our team of academic and industrial scientists, engineers and clinicians aims to develop are mechanistic insight into the biology of modification and tools for predicting function from imaging and validated criteria for treatment outcomes. We will relate alterations in lesion micro-morphology (calcium, lipid, fibrous, fibro-fatty content) to changes in spatial micro-mechanical (compliance, stress) and local drug delivery (uptake, retention) response, and correlate image-based quantification of lesion micro-morphology to interventional outcome, providing a framework to predict and optimize, therapy. Our aims are to (1) Quantify changes in clinical lesion micro-morphology of complex arterial disease as a function of lesion modification using deep-learning-based image analysis, and investigate how initial lesion state can predict micro-morphological alterations for different modifications. (2) Use image processing and lesion- specific inverse modelling to examine effects of lesion modification on micro-mechanics and local drug distribution in excised human lesions, and (3) compare predictions with clinical performance after angioplasty and stenting. Combining aims 1 and 2 with computational virtual stent implantation we will predict vascular responses after modification of vascular morphology, and compare these predictions to outcomes from clinical trials that have imaging and longitudinal follow-up. In whole we will distinguish clinical outcomes that arise from optimization of lumen dimensions, from optimization of micro-morphology, -mechanics and drug distribution. The significance of our work lies in providing a mechanistic framework to explore increasing use of lesion modification pre-intervention and a means to leverage such insight to guide and optimize effect. The novelty is in using imaging and computational methods developed with the past NIH support to achieve this understanding. We are honored that our science may have clinical impact in treating complex vascular disease.

过去半个世纪出现了一个惊人的趋势。血管生物学的相关进展，血管内