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":"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。","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":"{\"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}","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}
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, " ", 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.