Radiomics of Late Gadolinium Enhancement Reveals Prognostic Value of Myocardial Scar Heterogeneity in Hypertrophic Cardiomyopathy

医学 肥厚性心肌病 心脏病学 内科学 逻辑回归 危险分层 比例危险模型 磁共振成像 心源性猝死 无线电技术 心肌病 放射科 心力衰竭
作者
Ahmed S. Fahmy,Ethan J. Rowin,Narjes Jaafar,Raymond H. Chan,Jennifer Rodriguez,Shiro Nakamori,Long Ngo,Silvia Pradella,Chiara Zocchi,Iacopo Olivotto,Warren J. Manning,Martin S. Maron,Reza Nezafat
出处
期刊:Jacc-cardiovascular Imaging [Elsevier BV]
卷期号:17 (1): 16-27 被引量:18
标识
DOI:10.1016/j.jcmg.2023.05.003
摘要

Late gadolinium enhancement (LGE) scar burden by cardiac magnetic resonance is a major risk factor for sudden cardiac death (SCD) in hypertrophic cardiomyopathy (HCM). However, there is currently limited data on the incremental prognostic value of integrating myocardial LGE radiomics (ie, shape and texture features) into SCD risk stratification models. The purpose of this study was to investigate the incremental prognostic value of myocardial LGE radiomics beyond current European Society of Cardiology (ESC) and American College of Cardiology (ACC)/American Heart Association (AHA) models for SCD risk prediction in HCM. A total of 1,229 HCM patients (62% men; age 52 ± 16 years) from 3 medical centers were included. Left ventricular myocardial radiomic features were calculated from LGE images. Principal component analysis was used to reduce the radiomic features and calculate 3 principal radiomics (PrinRads). Cox and logistic regression analyses were then used to evaluate the significance of the extracted PrinRads of LGE images, alone or in combination with ESC or ACC/AHA models, to predict SCD risk. The ACC/AHA risk markers include LGE burden using a dichotomized 15% threshold of LV scar. SCD events occurred in 30 (2.4%) patients over a follow-up period of 49 ± 28 months. Risk prediction using PrinRads resulted in higher c-statistics than the ESC (0.69 vs 0.57; P = 0.02) and the ACC/AHA (0.69 vs 0.67; P = 0.75) models. Risk predictions were improved by combining the 3 PrinRads with ESC (0.73 vs 0.57; P < 0.01) or ACC/AHA (0.76 vs 0.67; P < 0.01) risk scores. The net reclassification index was improved by combining the PrinRads with ESC (0.25 [95% CI: 0.08-0.43]; P = 0.005) or ACC/AHA (0.05 [95% CI: −0.07 to 0.16]; P = 0.42) models. One PrinRad was a significant predictor of SCD risk (HR: 0.57 [95% CI: 0.39-0.84]; P = 0.01). LGE heterogeneity was a major component of PrinRads and a significant predictor of SCD risk (HR: 0.07 [95% CI: 0.01-0.75]; P = 0.03). Myocardial LGE radiomics are strongly associated with SCD risk in HCM and provide incremental risk stratification beyond current ESC or AHA/ACC risk models. Our proof-of-concept study warrants further validation.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
五六七发布了新的文献求助10
2秒前
2秒前
css1997完成签到 ,获得积分10
4秒前
无限飞丹完成签到,获得积分10
4秒前
小饭完成签到,获得积分10
4秒前
Cl1audia发布了新的文献求助10
5秒前
所所应助木可采纳,获得10
5秒前
Gyro完成签到,获得积分10
7秒前
隐形曼青应助lzx采纳,获得10
7秒前
8秒前
体贴紫完成签到,获得积分10
9秒前
9秒前
9秒前
10秒前
五六七完成签到,获得积分10
10秒前
10秒前
liz_发布了新的文献求助10
11秒前
新xin发布了新的文献求助10
12秒前
CodeCraft应助111111111采纳,获得10
13秒前
汉堡包应助秋天里的水采纳,获得10
14秒前
量子星尘发布了新的文献求助10
14秒前
Gyro发布了新的文献求助50
14秒前
慕青应助keyun采纳,获得10
14秒前
体贴紫发布了新的文献求助10
14秒前
15秒前
Dr.Who发布了新的文献求助10
16秒前
17秒前
深情安青应助科研通管家采纳,获得10
17秒前
彭于晏应助科研通管家采纳,获得10
17秒前
搜集达人应助科研通管家采纳,获得10
17秒前
顾矜应助科研通管家采纳,获得10
17秒前
华仔应助科研通管家采纳,获得10
17秒前
Owen应助科研通管家采纳,获得10
17秒前
科研通AI2S应助科研通管家采纳,获得10
18秒前
赘婿应助科研通管家采纳,获得10
18秒前
Ava应助科研通管家采纳,获得10
18秒前
18秒前
18秒前
Owen应助科研通管家采纳,获得10
18秒前
桐桐应助科研通管家采纳,获得10
18秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3989444
求助须知:如何正确求助?哪些是违规求助? 3531531
关于积分的说明 11254250
捐赠科研通 3270191
什么是DOI,文献DOI怎么找? 1804901
邀请新用户注册赠送积分活动 882105
科研通“疑难数据库(出版商)”最低求助积分说明 809174