多延迟三维梯度和自旋回波与单延迟二维回波平面成像脑血流测量的协调。

Josiah B Lewis, Chunwei Ying, Michael M Binkley, Melanie E Fields, Igor Dedkov, Slim Fellah, Jingyi Zhang, Amy Mirro, Joshua S Shimony, Yasheng Chen, Jin-Moo Lee, Andria L Ford, Hongyu An, Kristin P Guilliams
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The object of this work is to harmonize two distinct PCASL techniques within a cohort with a wide range of CBF values.</p><p><strong>Methods: </strong>Participants had two PCASL sequences collected within a single session: a single post-label delay sequence with a 2D echo-planar imaging (EPI) readout, \" <math> <msub><mrow><mtext>CBF</mtext></mrow> <mrow><mn>2</mn> <mtext>D</mtext> <mo>,</mo> <mn>1</mn> <mtext>PLD</mtext></mrow> </msub> </math> \", and a five post-label delay sequence with gradient and spin echo (GRASE) 3D readout, \" <math> <msub><mrow><mtext>CBF</mtext></mrow> <mrow><mn>3</mn> <mtext>D</mtext> <mo>,</mo> <mn>5</mn> <mtext>PLD</mtext></mrow> </msub> </math> \". Linear regression modeling to impute <math> <msub><mrow><mtext>CBF</mtext></mrow> <mrow><mn>3</mn> <mtext>D</mtext> <mo>,</mo> <mn>5</mn> <mtext>PLD</mtext></mrow> </msub> </math> from <math> <msub><mrow><mtext>CBF</mtext></mrow> <mrow><mn>2</mn> <mtext>D</mtext> <mo>,</mo> <mn>1</mn> <mtext>PLD</mtext></mrow> </msub> </math> , hemoglobin, and age were assessed within gray matter (GM) and white matter (WM) using leave-one-out cross-validation for prediction errors and confidence intervals. Within-subject coefficient of variation (wsCV) and inter-class correlation coefficient (ICC) were calculated using <math> <msub><mrow><mtext>CBF</mtext></mrow> <mrow><mn>3</mn> <mtext>D</mtext> <mo>,</mo> <mn>5</mn> <mtext>PLD</mtext></mrow> </msub> </math> imputed vs. measured as pseudo test-retest pairs.</p><p><strong>Results: </strong>Fifty participants, ages 8-45 (median 25) years, had usable <math> <msub><mrow><mtext>CBF</mtext></mrow> <mrow><mn>3</mn> <mtext>D</mtext> <mo>,</mo> <mn>5</mn> <mtext>PLD</mtext></mrow> </msub> </math> and <math> <msub><mrow><mtext>CBF</mtext></mrow> <mrow><mn>2</mn> <mtext>D</mtext> <mo>,</mo> <mn>1</mn> <mtext>PLD</mtext></mrow> </msub> </math> , including 17 participants with sickle cell disease (SCD), who were matched by age ( <math><mi>p</mi> <mo>=</mo> <mn>0.90</mn></math> ) and sex ( <math><mi>p</mi> <mo>=</mo> <mn>0.16</mn></math> ) to those without SCD. 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引用次数: 0

摘要

目的:在人类研究中,脑血流量(CBF)通常通过伪连续动脉自旋标记(PCASL)来测量,但最近方法的进步限制了数据的重用。这项工作的目的是协调两种不同的PCASL技术在一个队列与广泛的CBF值。方法:参与者在一次治疗中收集了两个PCASL序列:一个带有2D回声平面成像(EPI)读数的单个标签后延迟序列,“CBF 2D,1PLD”,和一个带有梯度和自旋回波(GRASE) 3D读数的五个标签后延迟序列,“CBF 3D,5PLD”。利用线性回归模型在灰质(GM)和白质(WM)中对CBF 3D、5PLD、1PLD、血红蛋白和年龄进行估算,使用留一交叉验证来预测误差和置信区间。使用CBF 3D计算受试者内变异系数(wsCV)和类间相关系数(ICC),5PLD作为伪测试-重测试对进行输入与测量。结果:50名参与者,年龄8-45岁(中位25岁),有可用的CBF 3D,5PLD和CBF 2D,1PLD,包括17名患有镰状细胞病(SCD)的参与者,他们按年龄(p = 0.90)和性别(p = 0.16)与无SCD的参与者相匹配。血红蛋白与年龄的多元线性回归模型拟合GM CBF (r2 adj. = 0.82;WM CBF R 2 adj = 0.78)。CBF 3D,5PLD的wsCV为GM的9.1%,WM的11.3%。GM的ICC为0.89,WM的ICC为0.87。没有年龄和血红蛋白的模型的拟合程度稍差。结论:我们的研究证明了从2D-EPI单pld技术推导3D-GRASE多pld CBF的可行性,促进了数据的共享和协调。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Harmonization of cerebral blood flow measurements by multi-delay 3D gradient and spin echo, and single-delay 2D echo planar imaging.

Purpose: Cerebral blood flow (CBF) is commonly measured by pseudo-continuous arterial spin labeling (PCASL) in human research, but recent advancements in methodology have limited data reuse. The object of this work is to harmonize two distinct PCASL techniques within a cohort with a wide range of CBF values.

Methods: Participants had two PCASL sequences collected within a single session: a single post-label delay sequence with a 2D echo-planar imaging (EPI) readout, " CBF 2 D , 1 PLD ", and a five post-label delay sequence with gradient and spin echo (GRASE) 3D readout, " CBF 3 D , 5 PLD ". Linear regression modeling to impute CBF 3 D , 5 PLD from CBF 2 D , 1 PLD , hemoglobin, and age were assessed within gray matter (GM) and white matter (WM) using leave-one-out cross-validation for prediction errors and confidence intervals. Within-subject coefficient of variation (wsCV) and inter-class correlation coefficient (ICC) were calculated using CBF 3 D , 5 PLD imputed vs. measured as pseudo test-retest pairs.

Results: Fifty participants, ages 8-45 (median 25) years, had usable CBF 3 D , 5 PLD and CBF 2 D , 1 PLD , including 17 participants with sickle cell disease (SCD), who were matched by age ( p = 0.90 ) and sex ( p = 0.16 ) to those without SCD. A multiple linear regression model including hemoglobin and age fit GM CBF ( R 2 adj. = 0.82 ; for WM CBF R 2 adj. = 0.78 ). The wsCV for CBF 3 D , 5 PLD was 9.1% for GM, 11.3% for WM. ICC was 0.89 for GM and 0.87 for WM. Models without age or hemoglobin fit slightly worse.

Conclusion: Our study demonstrates feasibility to impute 3D-GRASE multi-PLD CBF from a 2D-EPI single-PLD technique, which promotes data sharing and harmonization.

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