Regional Reproducibility of BOLD Calibration Parameter M, OEF and Resting-State CMRO2 Measurements with QUO2 MRI

The current generation of calibrated MRI methods goes beyond simple localization of task-related responses to allow the mapping of resting-state cerebral metabolic rate of oxygen (CMRO2) in micromolar units and estimation of oxygen extraction fraction (OEF). Prior to the adoption of such techniques...

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Veröffentlicht in:PloS one 2016-09, Vol.11 (9), p.e0163071-e0163071
Hauptverfasser: Lajoie, Isabelle, Tancredi, Felipe B, Hoge, Richard D
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Hoge, Richard D
description The current generation of calibrated MRI methods goes beyond simple localization of task-related responses to allow the mapping of resting-state cerebral metabolic rate of oxygen (CMRO2) in micromolar units and estimation of oxygen extraction fraction (OEF). Prior to the adoption of such techniques in neuroscience research applications, knowledge about the precision and accuracy of absolute estimates of CMRO2 and OEF is crucial and remains unexplored to this day. In this study, we addressed the question of methodological precision by assessing the regional inter-subject variance and intra-subject reproducibility of the BOLD calibration parameter M, OEF, O2 delivery and absolute CMRO2 estimates derived from a state-of-the-art calibrated BOLD technique, the QUantitative O2 (QUO2) approach. We acquired simultaneous measurements of CBF and R2* at rest and during periods of hypercapnia (HC) and hyperoxia (HO) on two separate scan sessions within 24 hours using a clinical 3 T MRI scanner. Maps of M, OEF, oxygen delivery and CMRO2, were estimated from the measured end-tidal O2, CBF0, CBFHC/HO and R2*HC/HO. Variability was assessed by computing the between-subject coefficients of variation (bwCV) and within-subject CV (wsCV) in seven ROIs. All tests GM-averaged values of CBF0, M, OEF, O2 delivery and CMRO2 were: 49.5 ± 6.4 mL/100 g/min, 4.69 ± 0.91%, 0.37 ± 0.06, 377 ± 51 μmol/100 g/min and 143 ± 34 μmol/100 g/min respectively. The variability of parameter estimates was found to be the lowest when averaged throughout all GM, with general trends toward higher CVs when averaged over smaller regions. Among the MRI measurements, the most reproducible across scans was R2*0 (wsCVGM = 0.33%) along with CBF0 (wsCVGM = 3.88%) and R2*HC (wsCVGM = 6.7%). CBFHC and R2*HO were found to have a higher intra-subject variability (wsCVGM = 22.4% and wsCVGM = 16% respectively), which is likely due to propagation of random measurement errors, especially for CBFHC due to the low contrast-to-noise ratio intrinsic to ASL. Reproducibility of the QUO2 derived estimates were computed, yielding a GM intra-subject reproducibility of 3.87% for O2 delivery, 16.8% for the M value, 13.6% for OEF and 15.2% for CMRO2. Although these results focus on the precision of the QUO2 method, rather than the accuracy, the information will be useful for calculation of statistical power in future validation studies and ultimately for research applications of the method. The higher test-retest variability for
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Prior to the adoption of such techniques in neuroscience research applications, knowledge about the precision and accuracy of absolute estimates of CMRO2 and OEF is crucial and remains unexplored to this day. In this study, we addressed the question of methodological precision by assessing the regional inter-subject variance and intra-subject reproducibility of the BOLD calibration parameter M, OEF, O2 delivery and absolute CMRO2 estimates derived from a state-of-the-art calibrated BOLD technique, the QUantitative O2 (QUO2) approach. We acquired simultaneous measurements of CBF and R2* at rest and during periods of hypercapnia (HC) and hyperoxia (HO) on two separate scan sessions within 24 hours using a clinical 3 T MRI scanner. Maps of M, OEF, oxygen delivery and CMRO2, were estimated from the measured end-tidal O2, CBF0, CBFHC/HO and R2*HC/HO. Variability was assessed by computing the between-subject coefficients of variation (bwCV) and within-subject CV (wsCV) in seven ROIs. All tests GM-averaged values of CBF0, M, OEF, O2 delivery and CMRO2 were: 49.5 ± 6.4 mL/100 g/min, 4.69 ± 0.91%, 0.37 ± 0.06, 377 ± 51 μmol/100 g/min and 143 ± 34 μmol/100 g/min respectively. The variability of parameter estimates was found to be the lowest when averaged throughout all GM, with general trends toward higher CVs when averaged over smaller regions. Among the MRI measurements, the most reproducible across scans was R2*0 (wsCVGM = 0.33%) along with CBF0 (wsCVGM = 3.88%) and R2*HC (wsCVGM = 6.7%). CBFHC and R2*HO were found to have a higher intra-subject variability (wsCVGM = 22.4% and wsCVGM = 16% respectively), which is likely due to propagation of random measurement errors, especially for CBFHC due to the low contrast-to-noise ratio intrinsic to ASL. Reproducibility of the QUO2 derived estimates were computed, yielding a GM intra-subject reproducibility of 3.87% for O2 delivery, 16.8% for the M value, 13.6% for OEF and 15.2% for CMRO2. Although these results focus on the precision of the QUO2 method, rather than the accuracy, the information will be useful for calculation of statistical power in future validation studies and ultimately for research applications of the method. The higher test-retest variability for the more extensively modeled parameters (M, OEF, and CMRO2) highlights the need for further improvement of acquisition methods to reduce noise levels.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0163071</identifier><identifier>PMID: 27649493</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Accuracy ; Adult ; Biology and Life Sciences ; Brain - blood supply ; Brain - diagnostic imaging ; Brain research ; Calibration ; Carbon Dioxide - blood ; Cerebral blood flow ; Cerebrovascular Circulation - physiology ; Coefficient of variation ; Efficiency ; Estimates ; Female ; Humans ; Hypercapnia ; Hypercapnia - blood ; Hypercapnia - physiopathology ; Hyperoxia ; Hyperoxia - blood ; Hyperoxia - physiopathology ; Image Processing, Computer-Assisted - methods ; Localization ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Medical imaging ; Medicine and Health Sciences ; Metabolic rate ; Nervous system ; Neurosurgery ; NMR ; Noise levels ; Noise reduction ; Nuclear magnetic resonance ; Oxygen ; Oxygen - blood ; Oxygen Consumption - physiology ; Parameter estimation ; Physical Sciences ; Physiology ; Regional analysis ; Reproducibility ; Reproducibility of Results ; Research and Analysis Methods ; Rest - physiology ; Test procedures ; Variability</subject><ispartof>PloS one, 2016-09, Vol.11 (9), p.e0163071-e0163071</ispartof><rights>2016 Lajoie et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. 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Prior to the adoption of such techniques in neuroscience research applications, knowledge about the precision and accuracy of absolute estimates of CMRO2 and OEF is crucial and remains unexplored to this day. In this study, we addressed the question of methodological precision by assessing the regional inter-subject variance and intra-subject reproducibility of the BOLD calibration parameter M, OEF, O2 delivery and absolute CMRO2 estimates derived from a state-of-the-art calibrated BOLD technique, the QUantitative O2 (QUO2) approach. We acquired simultaneous measurements of CBF and R2* at rest and during periods of hypercapnia (HC) and hyperoxia (HO) on two separate scan sessions within 24 hours using a clinical 3 T MRI scanner. Maps of M, OEF, oxygen delivery and CMRO2, were estimated from the measured end-tidal O2, CBF0, CBFHC/HO and R2*HC/HO. Variability was assessed by computing the between-subject coefficients of variation (bwCV) and within-subject CV (wsCV) in seven ROIs. 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Although these results focus on the precision of the QUO2 method, rather than the accuracy, the information will be useful for calculation of statistical power in future validation studies and ultimately for research applications of the method. 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Tancredi, Felipe B ; Hoge, Richard D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c559t-8ab99d3700b43f4057d5817c26a69d83357eede784b88393a5b6d441d4d89ca83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Accuracy</topic><topic>Adult</topic><topic>Biology and Life Sciences</topic><topic>Brain - blood supply</topic><topic>Brain - diagnostic imaging</topic><topic>Brain research</topic><topic>Calibration</topic><topic>Carbon Dioxide - blood</topic><topic>Cerebral blood flow</topic><topic>Cerebrovascular Circulation - physiology</topic><topic>Coefficient of variation</topic><topic>Efficiency</topic><topic>Estimates</topic><topic>Female</topic><topic>Humans</topic><topic>Hypercapnia</topic><topic>Hypercapnia - blood</topic><topic>Hypercapnia - physiopathology</topic><topic>Hyperoxia</topic><topic>Hyperoxia - blood</topic><topic>Hyperoxia - physiopathology</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Localization</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Medicine and Health Sciences</topic><topic>Metabolic rate</topic><topic>Nervous system</topic><topic>Neurosurgery</topic><topic>NMR</topic><topic>Noise levels</topic><topic>Noise reduction</topic><topic>Nuclear magnetic resonance</topic><topic>Oxygen</topic><topic>Oxygen - blood</topic><topic>Oxygen Consumption - physiology</topic><topic>Parameter estimation</topic><topic>Physical Sciences</topic><topic>Physiology</topic><topic>Regional analysis</topic><topic>Reproducibility</topic><topic>Reproducibility of Results</topic><topic>Research and Analysis Methods</topic><topic>Rest - physiology</topic><topic>Test procedures</topic><topic>Variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lajoie, Isabelle</creatorcontrib><creatorcontrib>Tancredi, Felipe B</creatorcontrib><creatorcontrib>Hoge, Richard D</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing &amp; 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Prior to the adoption of such techniques in neuroscience research applications, knowledge about the precision and accuracy of absolute estimates of CMRO2 and OEF is crucial and remains unexplored to this day. In this study, we addressed the question of methodological precision by assessing the regional inter-subject variance and intra-subject reproducibility of the BOLD calibration parameter M, OEF, O2 delivery and absolute CMRO2 estimates derived from a state-of-the-art calibrated BOLD technique, the QUantitative O2 (QUO2) approach. We acquired simultaneous measurements of CBF and R2* at rest and during periods of hypercapnia (HC) and hyperoxia (HO) on two separate scan sessions within 24 hours using a clinical 3 T MRI scanner. Maps of M, OEF, oxygen delivery and CMRO2, were estimated from the measured end-tidal O2, CBF0, CBFHC/HO and R2*HC/HO. Variability was assessed by computing the between-subject coefficients of variation (bwCV) and within-subject CV (wsCV) in seven ROIs. All tests GM-averaged values of CBF0, M, OEF, O2 delivery and CMRO2 were: 49.5 ± 6.4 mL/100 g/min, 4.69 ± 0.91%, 0.37 ± 0.06, 377 ± 51 μmol/100 g/min and 143 ± 34 μmol/100 g/min respectively. The variability of parameter estimates was found to be the lowest when averaged throughout all GM, with general trends toward higher CVs when averaged over smaller regions. Among the MRI measurements, the most reproducible across scans was R2*0 (wsCVGM = 0.33%) along with CBF0 (wsCVGM = 3.88%) and R2*HC (wsCVGM = 6.7%). CBFHC and R2*HO were found to have a higher intra-subject variability (wsCVGM = 22.4% and wsCVGM = 16% respectively), which is likely due to propagation of random measurement errors, especially for CBFHC due to the low contrast-to-noise ratio intrinsic to ASL. Reproducibility of the QUO2 derived estimates were computed, yielding a GM intra-subject reproducibility of 3.87% for O2 delivery, 16.8% for the M value, 13.6% for OEF and 15.2% for CMRO2. Although these results focus on the precision of the QUO2 method, rather than the accuracy, the information will be useful for calculation of statistical power in future validation studies and ultimately for research applications of the method. The higher test-retest variability for the more extensively modeled parameters (M, OEF, and CMRO2) highlights the need for further improvement of acquisition methods to reduce noise levels.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27649493</pmid><doi>10.1371/journal.pone.0163071</doi><oa>free_for_read</oa></addata></record>
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subjects Accuracy
Adult
Biology and Life Sciences
Brain - blood supply
Brain - diagnostic imaging
Brain research
Calibration
Carbon Dioxide - blood
Cerebral blood flow
Cerebrovascular Circulation - physiology
Coefficient of variation
Efficiency
Estimates
Female
Humans
Hypercapnia
Hypercapnia - blood
Hypercapnia - physiopathology
Hyperoxia
Hyperoxia - blood
Hyperoxia - physiopathology
Image Processing, Computer-Assisted - methods
Localization
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Male
Medical imaging
Medicine and Health Sciences
Metabolic rate
Nervous system
Neurosurgery
NMR
Noise levels
Noise reduction
Nuclear magnetic resonance
Oxygen
Oxygen - blood
Oxygen Consumption - physiology
Parameter estimation
Physical Sciences
Physiology
Regional analysis
Reproducibility
Reproducibility of Results
Research and Analysis Methods
Rest - physiology
Test procedures
Variability
title Regional Reproducibility of BOLD Calibration Parameter M, OEF and Resting-State CMRO2 Measurements with QUO2 MRI
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