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
{"title":"Harmonization of cerebral blood flow measurements by multi-delay 3D gradient and spin echo, and single-delay 2D echo planar imaging.","authors":"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","doi":"10.1101/2025.06.20.25328792","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>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.</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. A multiple linear regression model including hemoglobin and age fit GM CBF ( <math> <msub> <mrow> <msup><mrow><mtext>R</mtext></mrow> <mrow><mn>2</mn></mrow> </msup> </mrow> <mrow><mtext>adj.</mtext></mrow> </msub> <mo>=</mo> <mn>0.82</mn></math> ; for WM CBF <math> <msub> <mrow> <msup><mrow><mtext>R</mtext></mrow> <mrow><mn>2</mn></mrow> </msup> </mrow> <mrow><mtext>adj.</mtext></mrow> </msub> <mo>=</mo> <mn>0.78</mn></math> ). The wsCV for <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> 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.</p><p><strong>Conclusion: </strong>Our study demonstrates feasibility to impute 3D-GRASE multi-PLD CBF from a 2D-EPI single-PLD technique, which promotes data sharing and harmonization.</p>","PeriodicalId":94281,"journal":{"name":"medRxiv : the preprint server for health sciences","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12204274/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv : the preprint server for health sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2025.06.20.25328792","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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, " ", and a five post-label delay sequence with gradient and spin echo (GRASE) 3D readout, " ". Linear regression modeling to impute from , 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 imputed vs. measured as pseudo test-retest pairs.
Results: Fifty participants, ages 8-45 (median 25) years, had usable and , including 17 participants with sickle cell disease (SCD), who were matched by age ( ) and sex ( ) to those without SCD. A multiple linear regression model including hemoglobin and age fit GM CBF ( ; for WM CBF ). The wsCV for 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.