Left Ventricular Mass Measurements in Patients using Real Time Echocardiography
使用实时超声心动图测量患者的左心室质量
基本信息
- 批准号:6228027
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:
- 资助国家:美国
- 起止时间:至
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Left ventricular (LV) hypertrophy is an important prognostic indicator in patients with heart disease. Current techniques to quantitate LV mass, including M-mode and two-dimensional echocardiography, only allow a limited assessment of LV hypertrophy. Real-time three-dimensional echocardiography (RT3D echo) is a novel technique that provides instantaneous volumetric cardiac images. In patients with suboptimal images, intravenous contrast agents provide LV cavity opacification and improve endocardial definition. The present study aimed to determine the accuracy of LV mass measurements with contrast-enhanced RT3D echo using magnetic resonance imaging (MRI) as reference standard. To this purpose, 43 patients (age: 56+/-16 years; 26 men and 17 women) with different cardiac conditions underwent RT3D echo and multiphase breathhold cine GRE MRI examinations in random order on the same day. RT3D echo images were acquired after the peripheral intravenous injection of 0.05 ml/kg of EchoGen, a dodecafluoropentane-based ultrasound contrast agent (Sonus Pharmaceuticals). Off-line calculation of LV mass from RT3D echo images was performed using an interactive aided manual tracing method to reconstruct the endocardial and epicardial surfaces. Images were analyzed by independent observers blinded to the results of the other technique. LV mass measurements by MRI ranged from 105 to 373 g (mean+/-SD: 193+/-67). RT3D echo measurements of LV mass strongly correlated with those obtained by MRI (r=0.93; y=13.7+0.89x; SEE=22.8; p<0.0001). Mean absolute difference between measurements was 19?16 g (10+/-8% of MRI-derived LV mass). Thus, contrast-enhanced RT3D echo accurately predicts LV mass in humans. This method may therefore be useful for the quantitative assessment of LV hypertrophy in cardiac patients. - three-dimensional echocardiography; left ventricular hypertrophy; myocardium - Human Subjects
左室肥厚是心脏病患者预后的重要指标。目前的技术定量左室质量,包括M型和二维超声心动图,只允许有限的评估左室肥大。实时三维超声心动图(RT 3D echo)是一种提供瞬时容积心脏图像的新技术。在图像欠佳的患者中,静脉注射造影剂可使左心室腔显影,并改善腔内清晰度。本研究旨在确定使用磁共振成像(MRI)作为参考标准的对比增强RT 3D回波测量LV质量的准确性。为此,43名患有不同心脏疾病的患者(年龄:56 ± 16岁; 26名男性和17名女性)在同一天随机接受了RT 3D回波和多相屏气电影GRE MRI检查。在外周静脉注射0.05 ml/kg EchoGen(一种基于十二碳戊烷的超声造影剂(Sonus Pharmaceuticals))后采集RT 3D回波图像。使用交互式辅助手动跟踪方法从RT 3D回波图像离线计算LV质量,以重建心内膜和心外膜表面。由对其他技术结果不知情的独立观察者分析图像。通过MRI测量的LV质量范围为105 - 373 g(平均值+/-SD:193+/-67)。左室质量的RT 3D回波测量与MRI获得的结果密切相关(r=0.93; y=13.7+0.89x; SEE=22.8; p<0.0001)。测量值之间的平均绝对差为19?16 g(10+/-8%的MRI衍生LV质量)。因此,对比增强的RT 3D回波准确地预测了人类的LV质量。因此,这种方法可能是有用的定量评估左心室肥大的心脏病人。- 三维超声心动图;左心室肥大;心肌-人类受试者
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
JULIO PANZA其他文献
JULIO PANZA的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('JULIO PANZA', 18)}}的其他基金
Aortic Root Volume Measurements in Patients using Real Time 3D Echocardiography
使用实时 3D 超声心动图测量患者的主动脉根部体积
- 批准号:
6228026 - 财政年份:
- 资助金额:
-- - 项目类别:
Real Time 3D Contrast Echocardiography for Assessment of Perfusion Defects
用于评估灌注缺陷的实时 3D 超声心动图对比
- 批准号:
6228025 - 财政年份:
- 资助金额:
-- - 项目类别:
Assessment of LV volume & function by real time 3-dimensional echocardiography
左心室容量评估
- 批准号:
6432722 - 财政年份:
- 资助金额:
-- - 项目类别:
相似海外基金
FAIRClinical: FAIR-ification of Supplementary Data to Support Clinical Research
FAIRClinical:补充数据的 FAIR 化以支持临床研究
- 批准号:
EP/Y036395/1 - 财政年份:2024
- 资助金额:
-- - 项目类别:
Research Grant
The IDeA State Consortium for a Clinical Research Resource Center: Increasing Clinical Trials in IDeA States through Communication of Opportunities, Effective Marketing, and WorkforceDevelopment
IDeA 州临床研究资源中心联盟:通过机会交流、有效营销和劳动力发展增加 IDeA 州的临床试验
- 批准号:
10715568 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Optimizing integration of veterinary clinical research findings with human health systems to improve strategies for early detection and intervention
优化兽医临床研究结果与人类健康系统的整合,以改进早期检测和干预策略
- 批准号:
10764456 - 财政年份:2023
- 资助金额:
-- - 项目类别:
The Mayo Clinic NeuroNEXT Clinical Research Site
梅奥诊所 NeuroNEXT 临床研究网站
- 批准号:
10743328 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Addressing Underperformance in Clinical Trial Enrollments: Development of a Clinical Trial Toolkit and Expansion of the Clinical Research Footprint
解决临床试验注册表现不佳的问题:开发临床试验工具包并扩大临床研究足迹
- 批准号:
10638813 - 财政年份:2023
- 资助金额:
-- - 项目类别:
The Minnesota TMD IMPACT Collaborative: Integrating Basic/Clinical Research Efforts and Training to Improve Clinical Care
明尼苏达州 TMD IMPACT 协作:整合基础/临床研究工作和培训以改善临床护理
- 批准号:
10828665 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Improving Multicultural Engagement in Clinical Research through Partnership with Federally Qualified Health Centers and Community Health Worker Programs
通过与联邦合格的健康中心和社区卫生工作者计划合作,改善临床研究中的多元文化参与
- 批准号:
10823828 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Promoting a Culture Of Innovation, Mentorship, Diversity and Opportunity in NCI Sponsored Clinical Research: NCI Research Specialist (Clinician Scientist) Award Application of Janice M. Mehnert, M.D.
在 NCI 资助的临床研究中促进创新、指导、多样性和机会文化:Janice M. Mehnert 医学博士的 NCI 研究专家(临床科学家)奖申请
- 批准号:
10721095 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Clinical Research Center for REstoration of NEural-based Function in the Real World (RENEW)
现实世界神经功能恢复临床研究中心 (RENEW)
- 批准号:
10795328 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Clinical Research and Academic Success in Obstetrics & Gynecology
产科临床研究和学术成就
- 批准号:
10828252 - 财政年份:2023
- 资助金额:
-- - 项目类别:














{{item.name}}会员




