{"title":"Characterization of plaque phenotypes exhibiting an elevated pericoronary adipose tissue attenuation: insights from the REASSURE-NIRS registry.","authors":"Satoshi Kitahara, Yu Kataoka, Hiroyuki Miura, Tatsuya Nishii, Kunihiro Nishimura, Kota Murai, Takamasa Iwai, Hideo Matama, Satoshi Honda, Masashi Fujino, Shuichi Yoneda, Kensuke Takagi, Fumiyuki Otsuka, Yasuhide Asaumi, Yusuke Fujino, Kenichi Tsujita, Rishi Puri, Stephen J Nicholls, Teruo Noguchi","doi":"10.1007/s10554-023-02907-w","DOIUrl":null,"url":null,"abstract":"<p><p>Inflammation has been considered to promote atheroma instability. Coronary computed tomography angiography (CCTA) visualizes pericoronary adipose tissue (PCAT) attenuation, which reflects coronary artery inflammation. While PCAT attenuation has been reported to predict future coronary events, plaque phenotypes exhibiting high PCAT attenuation remains to be fully elucidated. The current study aims to characterize coronary atheroma with a greater vascular inflammation. We retrospectively analyzed culprit lesions in 69 CAD patients receiving PCI from the REASSURE-NIRS registry (NCT04864171). Culprit lesions were evaluated by both CCTA and near-infrared spectroscopy/intravascular ultrasound (NIRS/IVUS) imaging prior to PCI. PCAT attenuation at proximal RCA (PCAT<sub>RCA</sub>) and NIRS/IVUS-derived plaque measures were compared in patients with PCAT<sub>RCA</sub> attenuation ≥ and < -78.3 HU (median). Lesions with PCAT<sub>RCA</sub> attenuation ≥ -78.3 HU exhibited a greater frequency of maxLCBI<sub>4mm</sub> ≥ 400 (66% vs. 26%, p < 0.01), plaque burden ≥ 70% (94% vs. 74%, p = 0.02) and spotty calcification (49% vs. 6%, p < 0.01). Whereas positive remodeling (63% vs. 41%, p = 0.07) did not differ between two groups. On multivariable analysis, maxLCBI<sub>4mm</sub> ≥ 400 (OR = 4.07; 95%CI 1.12-14.74, p = 0.03), plaque burden ≥ 70% (OR = 7.87; 95%CI 1.01-61.26, p = 0.04), and spotty calcification (OR = 14.33; 95%CI 2.37-86.73, p < 0.01) independently predicted high PCAT<sub>RCA</sub> attenuation. Of note, while the presence of only one plaque feature did not necessarily elevate PCAT<sub>RCA</sub> attenuation (p = 0.22), lesions harboring two or more features were significantly associated with higher PCAT<sub>RCA</sub> attenuation. More vulnerable plaque phenotypes were observed in patients with high PCAT<sub>RCA</sub> attenuation. Our findings suggest PCAT<sub>RCA</sub> attenuation as the presence of profound disease substrate, which potentially benefits from anti-inflammatory agents.</p>","PeriodicalId":50332,"journal":{"name":"International Journal of Cardiovascular Imaging","volume":" ","pages":"1943-1952"},"PeriodicalIF":1.5000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589176/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Cardiovascular Imaging","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s10554-023-02907-w","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/6/29 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Inflammation has been considered to promote atheroma instability. Coronary computed tomography angiography (CCTA) visualizes pericoronary adipose tissue (PCAT) attenuation, which reflects coronary artery inflammation. While PCAT attenuation has been reported to predict future coronary events, plaque phenotypes exhibiting high PCAT attenuation remains to be fully elucidated. The current study aims to characterize coronary atheroma with a greater vascular inflammation. We retrospectively analyzed culprit lesions in 69 CAD patients receiving PCI from the REASSURE-NIRS registry (NCT04864171). Culprit lesions were evaluated by both CCTA and near-infrared spectroscopy/intravascular ultrasound (NIRS/IVUS) imaging prior to PCI. PCAT attenuation at proximal RCA (PCATRCA) and NIRS/IVUS-derived plaque measures were compared in patients with PCATRCA attenuation ≥ and < -78.3 HU (median). Lesions with PCATRCA attenuation ≥ -78.3 HU exhibited a greater frequency of maxLCBI4mm ≥ 400 (66% vs. 26%, p < 0.01), plaque burden ≥ 70% (94% vs. 74%, p = 0.02) and spotty calcification (49% vs. 6%, p < 0.01). Whereas positive remodeling (63% vs. 41%, p = 0.07) did not differ between two groups. On multivariable analysis, maxLCBI4mm ≥ 400 (OR = 4.07; 95%CI 1.12-14.74, p = 0.03), plaque burden ≥ 70% (OR = 7.87; 95%CI 1.01-61.26, p = 0.04), and spotty calcification (OR = 14.33; 95%CI 2.37-86.73, p < 0.01) independently predicted high PCATRCA attenuation. Of note, while the presence of only one plaque feature did not necessarily elevate PCATRCA attenuation (p = 0.22), lesions harboring two or more features were significantly associated with higher PCATRCA attenuation. More vulnerable plaque phenotypes were observed in patients with high PCATRCA attenuation. Our findings suggest PCATRCA attenuation as the presence of profound disease substrate, which potentially benefits from anti-inflammatory agents.
期刊介绍:
The International Journal of Cardiovascular Imaging publishes technical and clinical communications (original articles, review articles and editorial comments) associated with cardiovascular diseases. The technical communications include the research, development and evaluation of novel imaging methods in the various imaging domains. These domains include magnetic resonance imaging, computed tomography, X-ray imaging, intravascular imaging, and applications in nuclear cardiology and echocardiography, and any combination of these techniques. Of particular interest are topics in medical image processing and image-guided interventions. Clinical applications of such imaging techniques include improved diagnostic approaches, treatment , prognosis and follow-up of cardiovascular patients. Topics include: multi-center or larger individual studies dealing with risk stratification and imaging utilization, applications for better characterization of cardiovascular diseases, and assessment of the efficacy of new drugs and interventional devices.