当前位置: 首页 > 详情页

Black-blood thrombus imaging (BTI): a contrast-free cardiovascular magnetic resonance approach for the diagnosis of non-acute deep vein thrombosis

文献详情

资源类型:
WOS体系:
Pubmed体系:

收录情况: ◇ SCIE

机构: [1]Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, CAS, Guangdong 518055, China. [2]Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Pacific Theatres Building, Suite 800, 8700 Beverly Blvd, Los Angeles, CA 90048, USA. [3]Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, Guangdong 511400, China. [4]Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, China. [5]Department of Radiology, Xuanwu Hospital, Beijing 100053, China. [6]MR R&D, Siemens Healthcare, Los Angeles, CA 90048, USA.
出处:
ISSN:

关键词: Cardiovascular Magnetic Resonance Black-blood thrombus imaging Deep vein thrombosis

摘要:
Background: Deep vein thrombosis (DVT) is a common but elusive illness that can result in long-term disability or death. Accurate detection of thrombosis and assessment of its size and distribution are critical for treatment decision-making. In the present study, we sought to develop and evaluate a cardiovascular magnetic resonance (CMR) black-blood thrombus imaging (BTI) technique, based on delay alternating with nutation for tailored excitation black-blood preparation and variable flip angle turbo-spin-echo readout, for the diagnosis of non-acute DVT. Methods: This prospective study was approved by institutional review board and informed consent obtained from all subjects. BTI was first conducted in 11 healthy subjects for parameter optimization and then conducted in 18 non-acute DVT patients to evaluate its diagnostic performance. Two clinically used CMR techniques, contrast-enhanced CMR venography (CE-MRV) and three dimensional magnetization prepared rapid acquisition gradient echo (MPRAGE), were also conducted in all patients for comparison. All images obtained from patients were analyzed on a per-segment basis. Using the consensus diagnosis of CE-MRV as the reference, the sensitivity (SE), specificity (SP), positive and negative predictive values (PPV and NPV), and accuracy (ACC) of BTI and MPRAGE as well as their diagnostic agreement with CE-MRV were calculated. Besides, diagnostic confidence and interreader diagnostic agreement were evaluated for all three techniques. Results: BTI with optimized parameters effectively nulled the venous blood flow signal and allowed directly visualizing the thrombus within the black-blood lumen. Higher SE (90.4% vs 67.6%), SP (99.0% vs. 97.4%), PPV (95.4% vs. 85.6%), NPV (97.8% vs 92.9%) and ACC (97.4% vs. 91.8%) were obtained by BTI in comparison with MPRAGE. Good diagnostic confidence and excellent diagnostic and interreader agreements were achieved by BTI, which were superior to MPRAGE on detecting the chronic thrombus. Conclusion: BTI allows direct visualization of non-acute DVT within the dark venous lumen and has the potential to be a reliable diagnostic tool without the use of contrast medium.

基金:
语种:
被引次数:
WOS:
PubmedID:
中科院(CAS)分区:
出版当年[2016]版:
大类 | 2 区 医学
小类 | 2 区 心脏和心血管系统 2 区 核医学
最新[2023]版:
大类 | 1 区 医学
小类 | 2 区 心脏和心血管系统 2 区 核医学
JCR分区:
出版当年[2015]版:
Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
最新[2023]版:
Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子: 最新[2023版] 最新五年平均 出版当年[2015版] 出版当年五年平均 出版前一年[2014版] 出版后一年[2016版]

第一作者:
第一作者机构: [1]Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, CAS, Guangdong 518055, China. [2]Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Pacific Theatres Building, Suite 800, 8700 Beverly Blvd, Los Angeles, CA 90048, USA.
共同第一作者:
通讯作者:
通讯机构: [2]Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Pacific Theatres Building, Suite 800, 8700 Beverly Blvd, Los Angeles, CA 90048, USA.
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:16408 今日访问量:0 总访问量:869 更新日期:2025-01-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 首都医科大学宣武医院 技术支持:重庆聚合科技有限公司 地址:北京市西城区长椿街45号宣武医院