Na Li , Xiaolin Dong , Chentao Zhu , Zhenzhou Shi , Hong Pan , Shuting Wang , Yue Chen , Wei Wang , Tong Zhang
{"title":"非酒精性脂肪肝与冠状动脉周围脂肪组织和心包脂肪组织的关联研究:根据影像学特征诊断患有非酒精性脂肪肝的稳定型 CAD 患者。","authors":"Na Li , Xiaolin Dong , Chentao Zhu , Zhenzhou Shi , Hong Pan , Shuting Wang , Yue Chen , Wei Wang , Tong Zhang","doi":"10.1016/j.numecd.2024.06.020","DOIUrl":null,"url":null,"abstract":"<div><h3>Background and aim</h3><div>Nonalcoholic fatty liver disease (NAFLD) is prone to complicated cardiovascular disease, and we aimed to identify patients with NAFLD who are prone to developing stable coronary artery disease (CAD).</div></div><div><h3>Methods and results</h3><div>We retrospectively recruited adults who underwent coronary computed tomography angiography (CTA). A total of 127 NAFLD patients and 127 non-NAFLD patients were included in this study. Clinical features and imaging parameters were analysed, mainly including pericardial adipose tissue (PAT), pericoronary adipose tissue (PCAT), and radiomic features of 6792 PCATs. The inflammatory associations of NAFLD patients with PAT and PCAT were analysed. Clinical features (model 1), CTA parameters (model 2), the radscore (model 3), and a composite model (model 4) were constructed to identify patients with NAFLD with stable CAD.</div><div>The presence of NAFLD resulted in a greater inflammatory involvement in all three coronary arteries (all P < 0.01) and was associated with increased PAT volume (r = 0.178**, P < 0.05). In the presence of NAFLD, the mean CT value of the PAT was significantly correlated with the fat attenuation index (FAI) in all three vessels and had the strongest correlation with the RCA FAI (r = 0.55, p < 0.001). A total of 9 radiomic features were screened by LASSO regression to calculate radiomic scores. In the model comparison, model 4 had the best performance of all models (AUC 0.914 [0.863–0.965]) and the highest overall diagnostic value of the model (sensitivity: 0.814, specificity: 0.941).</div></div><div><h3>Conclusions</h3><div>NAFLD correlates with PAT volume and PCAT inflammation. Furthermore, combining clinical features, CTA parameters, and radiomic scores can improve the efficiency of early diagnosis of stable CAD in patients with NAFLD.</div></div>","PeriodicalId":49722,"journal":{"name":"Nutrition Metabolism and Cardiovascular Diseases","volume":"35 1","pages":"Article 103678"},"PeriodicalIF":3.7000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association study of NAFLD with pericoronary adipose tissue and pericardial adipose tissue: Diagnosis of stable CAD patients with NAFLD based on radiomic features\",\"authors\":\"Na Li , Xiaolin Dong , Chentao Zhu , Zhenzhou Shi , Hong Pan , Shuting Wang , Yue Chen , Wei Wang , Tong Zhang\",\"doi\":\"10.1016/j.numecd.2024.06.020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background and aim</h3><div>Nonalcoholic fatty liver disease (NAFLD) is prone to complicated cardiovascular disease, and we aimed to identify patients with NAFLD who are prone to developing stable coronary artery disease (CAD).</div></div><div><h3>Methods and results</h3><div>We retrospectively recruited adults who underwent coronary computed tomography angiography (CTA). A total of 127 NAFLD patients and 127 non-NAFLD patients were included in this study. Clinical features and imaging parameters were analysed, mainly including pericardial adipose tissue (PAT), pericoronary adipose tissue (PCAT), and radiomic features of 6792 PCATs. The inflammatory associations of NAFLD patients with PAT and PCAT were analysed. Clinical features (model 1), CTA parameters (model 2), the radscore (model 3), and a composite model (model 4) were constructed to identify patients with NAFLD with stable CAD.</div><div>The presence of NAFLD resulted in a greater inflammatory involvement in all three coronary arteries (all P < 0.01) and was associated with increased PAT volume (r = 0.178**, P < 0.05). In the presence of NAFLD, the mean CT value of the PAT was significantly correlated with the fat attenuation index (FAI) in all three vessels and had the strongest correlation with the RCA FAI (r = 0.55, p < 0.001). A total of 9 radiomic features were screened by LASSO regression to calculate radiomic scores. In the model comparison, model 4 had the best performance of all models (AUC 0.914 [0.863–0.965]) and the highest overall diagnostic value of the model (sensitivity: 0.814, specificity: 0.941).</div></div><div><h3>Conclusions</h3><div>NAFLD correlates with PAT volume and PCAT inflammation. Furthermore, combining clinical features, CTA parameters, and radiomic scores can improve the efficiency of early diagnosis of stable CAD in patients with NAFLD.</div></div>\",\"PeriodicalId\":49722,\"journal\":{\"name\":\"Nutrition Metabolism and Cardiovascular Diseases\",\"volume\":\"35 1\",\"pages\":\"Article 103678\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nutrition Metabolism and Cardiovascular Diseases\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0939475324002461\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/7/4 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nutrition Metabolism and Cardiovascular Diseases","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0939475324002461","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/4 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0
摘要
背景和目的:非酒精性脂肪性肝病(NAFLD)易并发心血管疾病,我们的目的是鉴别易发展为稳定性冠状动脉疾病(CAD)的NAFLD患者。方法和结果我们回顾性地招募了接受冠状动脉ct血管造影(CTA)的成年人。本研究共纳入127例NAFLD患者和127例非NAFLD患者。分析6792例患者的临床特征及影像学参数,主要包括心包脂肪组织(PAT)、冠状动脉脂肪组织(PCAT)及放射学特征。分析NAFLD合并PAT和PCAT患者的炎症相关性。构建临床特征(模型1)、CTA参数(模型2)、radscore(模型3)和复合模型(模型4)来识别伴有稳定CAD的NAFLD患者。NAFLD的存在导致所有三条冠状动脉更大的炎症累及(所有P <;0.01),并与PAT体积增加相关(r = 0.178**, P <;0.05)。在NAFLD存在的情况下,PAT的平均CT值与三支血管的脂肪衰减指数(FAI)均显著相关,且与RCA FAI的相关性最强(r = 0.55, p <;0.001)。采用LASSO回归法筛选出9个放射组学特征,计算放射组学评分。在模型比较中,模型4在所有模型中表现最好(AUC为0.914[0.863-0.965]),整体诊断价值最高(灵敏度为0.814,特异度为0.941)。结论snafld与PAT体积和PCAT炎症相关。此外,结合临床特征、CTA参数和放射组学评分可以提高NAFLD患者稳定期CAD的早期诊断效率。
Association study of NAFLD with pericoronary adipose tissue and pericardial adipose tissue: Diagnosis of stable CAD patients with NAFLD based on radiomic features
Background and aim
Nonalcoholic fatty liver disease (NAFLD) is prone to complicated cardiovascular disease, and we aimed to identify patients with NAFLD who are prone to developing stable coronary artery disease (CAD).
Methods and results
We retrospectively recruited adults who underwent coronary computed tomography angiography (CTA). A total of 127 NAFLD patients and 127 non-NAFLD patients were included in this study. Clinical features and imaging parameters were analysed, mainly including pericardial adipose tissue (PAT), pericoronary adipose tissue (PCAT), and radiomic features of 6792 PCATs. The inflammatory associations of NAFLD patients with PAT and PCAT were analysed. Clinical features (model 1), CTA parameters (model 2), the radscore (model 3), and a composite model (model 4) were constructed to identify patients with NAFLD with stable CAD.
The presence of NAFLD resulted in a greater inflammatory involvement in all three coronary arteries (all P < 0.01) and was associated with increased PAT volume (r = 0.178**, P < 0.05). In the presence of NAFLD, the mean CT value of the PAT was significantly correlated with the fat attenuation index (FAI) in all three vessels and had the strongest correlation with the RCA FAI (r = 0.55, p < 0.001). A total of 9 radiomic features were screened by LASSO regression to calculate radiomic scores. In the model comparison, model 4 had the best performance of all models (AUC 0.914 [0.863–0.965]) and the highest overall diagnostic value of the model (sensitivity: 0.814, specificity: 0.941).
Conclusions
NAFLD correlates with PAT volume and PCAT inflammation. Furthermore, combining clinical features, CTA parameters, and radiomic scores can improve the efficiency of early diagnosis of stable CAD in patients with NAFLD.
期刊介绍:
Nutrition, Metabolism & Cardiovascular Diseases is a forum designed to focus on the powerful interplay between nutritional and metabolic alterations, and cardiovascular disorders. It aims to be a highly qualified tool to help refine strategies against the nutrition-related epidemics of metabolic and cardiovascular diseases. By presenting original clinical and experimental findings, it introduces readers and authors into a rapidly developing area of clinical and preventive medicine, including also vascular biology. Of particular concern are the origins, the mechanisms and the means to prevent and control diabetes, atherosclerosis, hypertension, and other nutrition-related diseases.