已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Multicenter Study on the Diagnostic Performance of Native-T1 Cardiac Magnetic Resonance of Chronic Myocardial Infarctions at 3T

医学 心脏磁共振 接收机工作特性 磁共振成像 心肌梗塞 核医学 心脏病学 内科学 放射科 化学 有机化学
作者
Guan Wang,Sang‐Eun Lee,Qi Yang,Vignesh Sadras,Suraj Patel,Hsin‐Jung Yang,Behzad Sharif,Avinash Kali,Ivan Cokic,Guoxi Xie,Mourad Tighiouart,Jeremy D. Collins,Debiao Li,Daniel S. Berman,Hyuk‐Jae Chang,Rohan Dharmakumar
出处
期刊:Circulation-cardiovascular Imaging [Ovid Technologies (Wolters Kluwer)]
卷期号:13 (6) 被引量:17
标识
DOI:10.1161/circimaging.119.009894
摘要

Background: Preclinical studies and pilot patient studies have shown that chronic infarctions can be detected and characterized from cardiac magnetic resonance without gadolinium-based contrast agents using native-T1 maps at 3T. We aimed to investigate the diagnostic capacity of this approach for characterizing chronic myocardial infarctions (MIs) in a multi-center setting. Methods: Patients with a prior MI (n=105) were recruited at 3 different medical centers and were imaged with native-T1 mapping and late gadolinium enhancement (LGE) at 3T. Infarct location, size, and transmurality were determined from native-T1 maps and LGE. Sensitivity, specificity, receiver-operating characteristic metrics, and inter- and intraobserver variabilities were assessed relative to LGE. Results: Across all subjects, T1 of MI territory was 1621±110 ms, and remote territory was 1225±75 ms. Sensitivity, specificity, and area under curve for detecting MI location based on native-T1 mapping relative to LGE were 88%, 92%, and 0.93, respectively. Native-T1 maps were not different for measuring infarct size (native-T1 maps: 12.1±7.5%; LGE: 11.8±7.2%, P =0.82) and were in agreement with LGE ( R 2 =0.92, bias, 0.09±2.6%). Corresponding inter- and intraobserver assessments were also highly correlated (interobserver: R 2 =0.90, bias, 0.18±2.4%; and intraobserver: R 2 =0.91, bias, 0.28±2.1%). Native T1 maps were not different for measuring MI transmurality (native-T1 maps: 49.1±15.8%; LGE: 47.2±19.0%, P =0.56) and showed agreement ( R 2 =0.71; bias, 1.32±10.2%). Corresponding inter- and intraobserver assessments were also in agreement (interobserver: R 2 =0.81, bias, 0.1±9.4%; and intraobserver: R 2 =0.91, bias, 0.28±2.1%, respectively). While the overall accuracy for detecting MI with native-T1 maps at 3T was high, logistic regression analysis showed that MI location was a prominent confounder. Conclusions: Native-T1 mapping can be used to image chronic MI with high degree of accuracy, and as such, it is a viable alternative for scar imaging in patients with chronic MI who are contraindicated for LGE. Technical advancements may be needed to overcome the imaging confounders that currently limit native-T1 mapping from reaching equivalent detection levels as LGE.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
DANK1NG发布了新的文献求助10
刚刚
zybbb完成签到 ,获得积分10
刚刚
传统的珍完成签到,获得积分10
1秒前
苗条的天问完成签到,获得积分20
1秒前
燕儿完成签到 ,获得积分10
2秒前
2秒前
4秒前
4秒前
jam发布了新的文献求助10
4秒前
上官若男应助神勇语堂采纳,获得10
4秒前
淡淡友瑶完成签到,获得积分10
5秒前
阿静完成签到,获得积分10
5秒前
脑洞疼应助酷酷如楠采纳,获得10
5秒前
liyi完成签到,获得积分10
6秒前
苹果大侠完成签到 ,获得积分10
6秒前
8秒前
8秒前
flynn3735发布了新的文献求助10
9秒前
10秒前
卡卡完成签到,获得积分10
10秒前
royal发布了新的文献求助10
10秒前
传奇3应助阿静采纳,获得10
11秒前
LiangRen完成签到 ,获得积分10
11秒前
小鸡毛完成签到,获得积分10
11秒前
13秒前
小艾同学发布了新的文献求助10
13秒前
爱吃橙子完成签到 ,获得积分10
14秒前
wenqin发布了新的文献求助10
15秒前
Tangyuan发布了新的文献求助10
16秒前
文静听南完成签到 ,获得积分10
16秒前
葡萄柚子应助正直的雪糕采纳,获得20
17秒前
饱满的琦完成签到,获得积分10
17秒前
18秒前
5160完成签到,获得积分10
18秒前
cy完成签到 ,获得积分10
19秒前
禾研发布了新的文献求助30
20秒前
20秒前
Aha完成签到 ,获得积分10
22秒前
猪猪侠完成签到 ,获得积分10
22秒前
shunli完成签到 ,获得积分10
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Agyptische Geschichte der 21.30. Dynastie 3000
Aerospace Engineering Education During the First Century of Flight 2000
„Semitische Wissenschaften“? 1510
从k到英国情人 1500
sQUIZ your knowledge: Multiple progressive erythematous plaques and nodules in an elderly man 1000
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5771975
求助须知:如何正确求助?哪些是违规求助? 5594820
关于积分的说明 15428720
捐赠科研通 4905144
什么是DOI,文献DOI怎么找? 2639238
邀请新用户注册赠送积分活动 1587134
关于科研通互助平台的介绍 1542004