Multi-vendor and multisite evaluation of cerebrovascular reactivity mapping using hypercapnia challenge
Cerebrovascular reactivity (CVR), which measures the ability of cerebral blood vessels to dilate or constrict in response to vasoactive stimuli such as CO2 inhalation, is an important index of the brain's vascular health. Quantification of CVR using BOLD MRI with hypercapnia challenge has shown...
Guardado en:
Autores principales: | , , , , , , , , , , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/8008ce0fd44b44559f98bb92e318b6e5 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:8008ce0fd44b44559f98bb92e318b6e5 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:8008ce0fd44b44559f98bb92e318b6e52021-12-02T04:59:33ZMulti-vendor and multisite evaluation of cerebrovascular reactivity mapping using hypercapnia challenge1095-957210.1016/j.neuroimage.2021.118754https://doaj.org/article/8008ce0fd44b44559f98bb92e318b6e52021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1053811921010260https://doaj.org/toc/1095-9572Cerebrovascular reactivity (CVR), which measures the ability of cerebral blood vessels to dilate or constrict in response to vasoactive stimuli such as CO2 inhalation, is an important index of the brain's vascular health. Quantification of CVR using BOLD MRI with hypercapnia challenge has shown great promises in research and clinical studies. However, in order for it to be used as a potential imaging biomarker in large-scale and multi-site studies, the reliability of CO2-CVR quantification across different MRI acquisition platforms and researchers/raters must be examined. The goal of this report from the MarkVCID small vessel disease biomarkers consortium is to evaluate the reliability of CO2-CVR quantification in three studies. First, the inter-rater reliability of CO2-CVR data processing was evaluated by having raters from 5 MarkVCID sites process the same 30 CVR datasets using a cloud-based CVR data processing pipeline. Second, the inter-scanner reproducibility of CO2-CVR quantification was assessed in 10 young subjects across two scanners of different vendors. Third, test-retest repeatability was evaluated in 20 elderly subjects from 4 sites with a scan interval of less than 2 weeks. In all studies, the CO2 CVR measurements were performed using the fixed inspiration method, where the subjects wore a nose clip and a mouthpiece and breathed room air and 5% CO2 air contained in a Douglas bag alternatively through their mouth. The results showed that the inter-rater CoV of CVR processing was 0.08 ± 0.08% for whole-brain CVR values and ranged from 0.16% to 0.88% in major brain regions, with ICC of absolute agreement above 0.9959 for all brain regions. Inter-scanner CoV was found to be 6.90 ± 5.08% for whole-brain CVR values, and ranged from 4.69% to 12.71% in major brain regions, which are comparable to intra-session CoVs obtained from the same scanners on the same day. ICC of consistency between the two scanners was 0.8498 for whole-brain CVR and ranged from 0.8052 to 0.9185 across major brain regions. In the test-retest evaluation, test-retest CoV across different days was found to be 18.29 ± 17.12% for whole-brain CVR values, and ranged from 16.58% to 19.52% in major brain regions, with ICC of absolute agreement ranged from 0.6480 to 0.7785. These results demonstrated good inter-rater, inter-scanner, and test-retest reliability in healthy volunteers, and suggested that CO2-CVR has suitable instrumental properties for use as an imaging biomarker of cerebrovascular function in multi-site and longitudinal observational studies and clinical trials.Peiying LiuDengrong JiangMarilyn AlbertChristopher E. BauerArvind CaprihanBrian T. GoldSteven M. GreenbergKarl G. HelmerKay JannGregory JichaPavel RodriguezClaudia L. SatizabalSudha SeshadriHerpreet SinghJeffrey F. ThompsonDanny J.J. WangHanzhang LuElsevierarticleCerebrovascular reactivityHypercapniaBOLDCarbon dioxideEnd-tidal CO2Neurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENNeuroImage, Vol 245, Iss , Pp 118754- (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Cerebrovascular reactivity Hypercapnia BOLD Carbon dioxide End-tidal CO2 Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 |
spellingShingle |
Cerebrovascular reactivity Hypercapnia BOLD Carbon dioxide End-tidal CO2 Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Peiying Liu Dengrong Jiang Marilyn Albert Christopher E. Bauer Arvind Caprihan Brian T. Gold Steven M. Greenberg Karl G. Helmer Kay Jann Gregory Jicha Pavel Rodriguez Claudia L. Satizabal Sudha Seshadri Herpreet Singh Jeffrey F. Thompson Danny J.J. Wang Hanzhang Lu Multi-vendor and multisite evaluation of cerebrovascular reactivity mapping using hypercapnia challenge |
description |
Cerebrovascular reactivity (CVR), which measures the ability of cerebral blood vessels to dilate or constrict in response to vasoactive stimuli such as CO2 inhalation, is an important index of the brain's vascular health. Quantification of CVR using BOLD MRI with hypercapnia challenge has shown great promises in research and clinical studies. However, in order for it to be used as a potential imaging biomarker in large-scale and multi-site studies, the reliability of CO2-CVR quantification across different MRI acquisition platforms and researchers/raters must be examined. The goal of this report from the MarkVCID small vessel disease biomarkers consortium is to evaluate the reliability of CO2-CVR quantification in three studies. First, the inter-rater reliability of CO2-CVR data processing was evaluated by having raters from 5 MarkVCID sites process the same 30 CVR datasets using a cloud-based CVR data processing pipeline. Second, the inter-scanner reproducibility of CO2-CVR quantification was assessed in 10 young subjects across two scanners of different vendors. Third, test-retest repeatability was evaluated in 20 elderly subjects from 4 sites with a scan interval of less than 2 weeks. In all studies, the CO2 CVR measurements were performed using the fixed inspiration method, where the subjects wore a nose clip and a mouthpiece and breathed room air and 5% CO2 air contained in a Douglas bag alternatively through their mouth. The results showed that the inter-rater CoV of CVR processing was 0.08 ± 0.08% for whole-brain CVR values and ranged from 0.16% to 0.88% in major brain regions, with ICC of absolute agreement above 0.9959 for all brain regions. Inter-scanner CoV was found to be 6.90 ± 5.08% for whole-brain CVR values, and ranged from 4.69% to 12.71% in major brain regions, which are comparable to intra-session CoVs obtained from the same scanners on the same day. ICC of consistency between the two scanners was 0.8498 for whole-brain CVR and ranged from 0.8052 to 0.9185 across major brain regions. In the test-retest evaluation, test-retest CoV across different days was found to be 18.29 ± 17.12% for whole-brain CVR values, and ranged from 16.58% to 19.52% in major brain regions, with ICC of absolute agreement ranged from 0.6480 to 0.7785. These results demonstrated good inter-rater, inter-scanner, and test-retest reliability in healthy volunteers, and suggested that CO2-CVR has suitable instrumental properties for use as an imaging biomarker of cerebrovascular function in multi-site and longitudinal observational studies and clinical trials. |
format |
article |
author |
Peiying Liu Dengrong Jiang Marilyn Albert Christopher E. Bauer Arvind Caprihan Brian T. Gold Steven M. Greenberg Karl G. Helmer Kay Jann Gregory Jicha Pavel Rodriguez Claudia L. Satizabal Sudha Seshadri Herpreet Singh Jeffrey F. Thompson Danny J.J. Wang Hanzhang Lu |
author_facet |
Peiying Liu Dengrong Jiang Marilyn Albert Christopher E. Bauer Arvind Caprihan Brian T. Gold Steven M. Greenberg Karl G. Helmer Kay Jann Gregory Jicha Pavel Rodriguez Claudia L. Satizabal Sudha Seshadri Herpreet Singh Jeffrey F. Thompson Danny J.J. Wang Hanzhang Lu |
author_sort |
Peiying Liu |
title |
Multi-vendor and multisite evaluation of cerebrovascular reactivity mapping using hypercapnia challenge |
title_short |
Multi-vendor and multisite evaluation of cerebrovascular reactivity mapping using hypercapnia challenge |
title_full |
Multi-vendor and multisite evaluation of cerebrovascular reactivity mapping using hypercapnia challenge |
title_fullStr |
Multi-vendor and multisite evaluation of cerebrovascular reactivity mapping using hypercapnia challenge |
title_full_unstemmed |
Multi-vendor and multisite evaluation of cerebrovascular reactivity mapping using hypercapnia challenge |
title_sort |
multi-vendor and multisite evaluation of cerebrovascular reactivity mapping using hypercapnia challenge |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://doaj.org/article/8008ce0fd44b44559f98bb92e318b6e5 |
work_keys_str_mv |
AT peiyingliu multivendorandmultisiteevaluationofcerebrovascularreactivitymappingusinghypercapniachallenge AT dengrongjiang multivendorandmultisiteevaluationofcerebrovascularreactivitymappingusinghypercapniachallenge AT marilynalbert multivendorandmultisiteevaluationofcerebrovascularreactivitymappingusinghypercapniachallenge AT christopherebauer multivendorandmultisiteevaluationofcerebrovascularreactivitymappingusinghypercapniachallenge AT arvindcaprihan multivendorandmultisiteevaluationofcerebrovascularreactivitymappingusinghypercapniachallenge AT briantgold multivendorandmultisiteevaluationofcerebrovascularreactivitymappingusinghypercapniachallenge AT stevenmgreenberg multivendorandmultisiteevaluationofcerebrovascularreactivitymappingusinghypercapniachallenge AT karlghelmer multivendorandmultisiteevaluationofcerebrovascularreactivitymappingusinghypercapniachallenge AT kayjann multivendorandmultisiteevaluationofcerebrovascularreactivitymappingusinghypercapniachallenge AT gregoryjicha multivendorandmultisiteevaluationofcerebrovascularreactivitymappingusinghypercapniachallenge AT pavelrodriguez multivendorandmultisiteevaluationofcerebrovascularreactivitymappingusinghypercapniachallenge AT claudialsatizabal multivendorandmultisiteevaluationofcerebrovascularreactivitymappingusinghypercapniachallenge AT sudhaseshadri multivendorandmultisiteevaluationofcerebrovascularreactivitymappingusinghypercapniachallenge AT herpreetsingh multivendorandmultisiteevaluationofcerebrovascularreactivitymappingusinghypercapniachallenge AT jeffreyfthompson multivendorandmultisiteevaluationofcerebrovascularreactivitymappingusinghypercapniachallenge AT dannyjjwang multivendorandmultisiteevaluationofcerebrovascularreactivitymappingusinghypercapniachallenge AT hanzhanglu multivendorandmultisiteevaluationofcerebrovascularreactivitymappingusinghypercapniachallenge |
_version_ |
1718400898273640448 |