Unknown

Dataset Information

0

Near-Infrared Spectroscopy Intravascular Ultrasound Imaging: State of the Art.


ABSTRACT: Acute coronary syndromes (ACS) secondary to coronary vessel plaques represent a major cause of cardiovascular morbidity and mortality worldwide. Advancements in imaging technology over the last 3 decades have continuously enabled the study of coronary plaques via invasive imaging methods like intravascular ultrasound (IVUS) and optical coherence tomography (OCT). The introduction of near-infrared spectroscopy (NIRS) as a modality that could detect the lipid (cholesterol) content of atherosclerotic plaques in the early nineties, opened the potential of studying "vulnerable" or rupture-prone, lipid-rich coronary plaques in ACS patients. Most recently, the ability of NIRS-IVUS to identify patients at risk of future adverse events was shown in a prospective multicenter trial, the Lipid-Rich-plaque Study. Intracoronary NIRS-IVUS imaging offers a unique method of coronary lipid-plaque characterization and could become a valuable clinical diagnostic and treatment monitoring tool.

SUBMITTER: Kuku KO 

PROVIDER: S-EPMC7338425 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

altmetric image

Publications

Near-Infrared Spectroscopy Intravascular Ultrasound Imaging: State of the Art.

Kuku Kayode O KO   Singh Manavotam M   Ozaki Yuichi Y   Dan Kazuhiro K   Chezar-Azerrad Chava C   Waksman Ron R   Garcia-Garcia Hector M HM  

Frontiers in cardiovascular medicine 20200630


Acute coronary syndromes (ACS) secondary to coronary vessel plaques represent a major cause of cardiovascular morbidity and mortality worldwide. Advancements in imaging technology over the last 3 decades have continuously enabled the study of coronary plaques via invasive imaging methods like intravascular ultrasound (IVUS) and optical coherence tomography (OCT). The introduction of near-infrared spectroscopy (NIRS) as a modality that could detect the lipid (cholesterol) content of atherosclerot  ...[more]

Similar Datasets

| S-EPMC6611754 | biostudies-literature
| S-EPMC8748489 | biostudies-literature
| S-EPMC9851451 | biostudies-literature
| S-EPMC4572008 | biostudies-literature
| S-EPMC7890294 | biostudies-literature
| S-EPMC6200149 | biostudies-literature
| S-EPMC4618048 | biostudies-literature
| S-EPMC5316385 | biostudies-literature
| S-EPMC5434677 | biostudies-literature
| S-EPMC8433336 | biostudies-literature