当前位置: 首页 > 详情页

Cerebral Venous Thrombosis: MR Black-Blood Thrombus Imaging with Enhanced Blood Signal Suppression.

文献详情

资源类型:
WOS体系:
Pubmed体系:

收录情况: ◇ SCIE

机构: [1]Department of Biomedical Sciences ,Cedars-Sinai Medical Center, Los Angeles, California Biomedical Imaging Research Institute, [2]Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, California [3]Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China [4]Departments of Emergency ,Xuanwu Hospital, Capital Medical University, Beijing, China [5]Departments of Radiology,Xuanwu Hospital, Capital Medical University, Beijing, China [6]Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China [7]MR R&D, Siemens Healthineers, Los Angeles, California [8]Departments of Medicine,University of California, Los Angeles, California. [9]Departments of Bioengineering, University of California, Los Angeles, California.
出处:
ISSN:

摘要:
The residual blood flow artifact is a critical confounder for MR black-blood thrombus imaging of cerebral venous sinus thrombosis. This study aimed to conduct a validation of a new MR black-blood thrombus imaging technique with enhanced blood signal suppression. Twenty-six participants (13 volunteers and 13 patients) underwent conventional imaging methods followed by 2 randomized black-blood thrombus imaging scans, with a preoptimized delay alternating with nutation for tailored excitation (DANTE) preparation switched on and off, respectively. The signal intensity of residual blood, thrombus, brain parenchyma, normal lumen, and noise on black-blood thrombus images were measured. The thrombus volume, SNR of residual blood, and contrast-to-noise ratio for residual blood versus normal lumen, thrombus versus residual blood, and brain parenchyma versus normal lumen were compared between the 2 black-blood thrombus imaging techniques. Segmental diagnosis of venous sinus thrombosis was evaluated for each black-blood thrombus imaging technique using a combination of conventional imaging techniques as a reference. In the volunteer group, the SNR of residual blood (11.3 ± 2.9 versus 54.0 ± 23.4, P < .001) and residual blood-to-normal lumen contrast-to-noise ratio (7.5 ± 3.4 versus 49.2 ± 23.3, P < .001) were significantly reduced using the DANTE preparation. In the patient group, the SNR of residual blood (16.4 ± 8.0 versus 75.0 ± 35.1, P = .002) and residual blood-to-normal lumen contrast-to-noise ratio (12.4 ± 7.8 versus 68.8 ± 35.4, P = .002) were also significantly lower on DANTE-prepared black-blood thrombus imaging. The new black-blood thrombus imaging technique provided higher thrombus-to-residual blood contrast-to-noise ratio, significantly lower thrombus volume, and substantially improved diagnostic specificity and agreement with conventional imaging methods. DANTE-prepared black-blood thrombus imaging is a reliable MR imaging technique for diagnosing cerebral venous sinus thrombosis. © 2019 by American Journal of Neuroradiology.

基金:
语种:
被引次数:
WOS:
PubmedID:
中科院(CAS)分区:
出版当年[2018]版:
大类 | 2 区 医学
小类 | 2 区 核医学 3 区 临床神经病学 3 区 神经成像
最新[2023]版:
大类 | 3 区 医学
小类 | 3 区 临床神经病学 3 区 神经成像 3 区 核医学
JCR分区:
出版当年[2017]版:
Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Q2 NEUROIMAGING Q2 CLINICAL NEUROLOGY
最新[2023]版:
Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Q2 CLINICAL NEUROLOGY Q2 NEUROIMAGING

影响因子: 最新[2023版] 最新五年平均 出版当年[2017版] 出版当年五年平均 出版前一年[2016版] 出版后一年[2018版]

第一作者:
第一作者机构: [1]Department of Biomedical Sciences ,Cedars-Sinai Medical Center, Los Angeles, California Biomedical Imaging Research Institute, [3]Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China
共同第一作者:
通讯机构: [1]Department of Biomedical Sciences ,Cedars-Sinai Medical Center, Los Angeles, California Biomedical Imaging Research Institute, [5]Departments of Radiology,Xuanwu Hospital, Capital Medical University, Beijing, China
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:16409 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