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!

Longitudinal Reproducibility of MR Perfusion Using 3D Pseudocontinuous Arterial Spin Labeling With Hadamard‐Encoded Multiple Postlabeling Delays

组内相关 变异系数 医学 再现性 核医学 重复措施设计 方差分析 脑血流 皮尔逊积矩相关系数 数学 统计 内科学
作者
Alexander D. Cohen,Mohit Agarwal,Amritpal S. Jagra,Andrew S. Nencka,Timothy B. Meier,R. Marc Lebel,Michael McCrea,Yang Wang
出处
期刊:Journal of Magnetic Resonance Imaging [Wiley]
卷期号:51 (6): 1846-1853 被引量:36
标识
DOI:10.1002/jmri.27007
摘要

Background Arterial spin labeling (ASL) can be confounded by varying arterial transit times (ATT) across the brain and with disease. Hadamard encoding schemes can be applied to 3D pseudocontinuous ASL (pCASL) to acquire ASL data with multiple postlabeling delays (PLDs) to estimate ATT and then correct cerebral blood flow (CBF). Purpose To assess the longitudinal reproducibility of 3D pCASL with Hadamard‐encoded multiple PLDs. Study Type Prospective, longitudinal. Population Fifty‐two healthy, right‐handed male subjects who underwent imaging at four timepoints over 45 days. Field Strength/Sequence A Hadamard‐encoded 3D pCASL sequence was acquired at 3.0T with seven PLDs from 1.0–3.7 sec. Assessment ATT and corrected CBF (cCBF) were computed. Conventional uncorrected CBF (unCBF) was also estimated. Within‐ and between‐subject coefficient of variation (wCV and bCV, respectively) and intraclass correlation coefficient (ICC) were evaluated across four time intervals: 7, 14, 30, and 45 days, in gray matter and 17 independent regions of interest (ROIs). A power analysis was also conducted. Statistical Tests A repeated‐measures analysis of variance (ANOVA) was used to compare ATT, cCBF, and unCBF across the four scan sessions. A paired two‐sample t ‐test was used to compare cCBF and unCBF. Pearson's correlation was used to examine the relationship between the cCBF and unCBF difference and ATT. Power calculations were completed using both the cCBF and unCBF variances. Results ATT showed the lowest wCV and bCV (3.3–4.4% and 6.0–6.3%, respectively) compared to both cCBF (10.5–11.7% and 20.6–22.2%, respectively) and unCBF (12.0–13.6% and 22.7–23.7%, respectively). wCV and bCV were lower for cCBF vs. unCBF. A significant difference between cCBF and unCBF was found in most regions ( P = 5.5 × 10 ‐5 –3.8 × 10 ‐4 in gray matter) that was highly correlated with ATT (R 2 = 0.79–0.86). A power analysis yielded acceptable power at feasible sample sizes using cCBF. Data Conclusion ATT and ATT‐corrected CBF were longitudinally stable, indicating that ATT and CBF changes can be reliably evaluated with Hadamard‐encoded 3D pCASL with multiple PLDs. Level of Evidence: 1 Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2020;51:1846–1853.

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
gaofei完成签到,获得积分10
1秒前
2秒前
喵拟吗喵完成签到,获得积分10
2秒前
曾予嘉完成签到 ,获得积分10
2秒前
3秒前
寻道图强应助Xxxxzzz采纳,获得100
4秒前
gaofei发布了新的文献求助30
4秒前
阮小小完成签到 ,获得积分10
5秒前
栀尽夏发布了新的文献求助10
8秒前
zzzz发布了新的文献求助10
8秒前
8秒前
8秒前
9秒前
夏子发布了新的文献求助10
11秒前
舒适的方盒完成签到 ,获得积分10
14秒前
傲娇而又骄傲完成签到 ,获得积分10
15秒前
文文得怡完成签到,获得积分10
16秒前
abc发布了新的文献求助30
16秒前
要减肥冰菱完成签到 ,获得积分10
17秒前
西瓜发布了新的社区帖子
19秒前
夏子完成签到,获得积分10
21秒前
张向向完成签到 ,获得积分10
23秒前
绾妤完成签到 ,获得积分0
23秒前
YuxinChen完成签到 ,获得积分10
24秒前
25秒前
冰橙咖啡完成签到,获得积分10
25秒前
25秒前
shuhaha完成签到,获得积分10
27秒前
27秒前
Honor完成签到 ,获得积分10
28秒前
流沙无言完成签到 ,获得积分10
28秒前
风清扬发布了新的文献求助10
29秒前
Asen完成签到,获得积分10
30秒前
kjingknk完成签到 ,获得积分10
30秒前
菲子笑发布了新的文献求助10
32秒前
依瑶完成签到 ,获得积分10
33秒前
斯文败类应助StoneT采纳,获得10
34秒前
张向向发布了新的文献求助10
34秒前
LUYAO1完成签到 ,获得积分10
35秒前
酷波er应助琪琪采纳,获得10
35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
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
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 5713994
求助须知:如何正确求助?哪些是违规求助? 5219700
关于积分的说明 15272439
捐赠科研通 4865609
什么是DOI,文献DOI怎么找? 2612227
邀请新用户注册赠送积分活动 1562402
关于科研通互助平台的介绍 1519591