Assessment of Cerebrovascular Reactivity Using CO

BOLD CO2 cerebrovascular reactivity database of patients hypercapnia vascular health

Journal

Journal of magnetic resonance imaging : JMRI
ISSN: 1522-2586
Titre abrégé: J Magn Reson Imaging
Pays: United States
ID NLM: 9105850

Informations de publication

Date de publication:
22 Dec 2023
Historique:
revised: 21 11 2023
received: 26 09 2023
accepted: 22 11 2023
medline: 23 12 2023
pubmed: 23 12 2023
entrez: 22 12 2023
Statut: aheadofprint

Résumé

Cerebrovascular reactivity (CVR) is a measure of the change in cerebral blood flow (CBF) in response to a vasoactive challenge. It is a useful indicator of the brain's vascular health. To evaluate the factors that influence successful and unsuccessful CVR examinations using precise arterial and end-tidal partial pressure of CO Retrospective. Patients that underwent a CVR between October 2005 and May 2021 were studied (total of 1162 CVR examinations). The mean (±SD) age was 46.1 (±18.8) years, and 352 patients (43%) were female. 3 T; T1-weighted images, T2*-weighed two-dimensional gradient-echo sequence with standard echo-planar readout. Measurements were obtained following precise hypercapnic stimuli using BOLD MRI as a surrogate of CBF. Successful CVR examinations were defined as those where: 1) patients were able to complete CVR testing, and 2) a clinically useful CVR map was generated. Unsuccessful examinations were defined as those where patients were not able to complete the CVR examination or the CVR maps were judged to be unreliable due to, for example, excessive head motion, and poor P Successful and unsuccessful CVR examinations between hypercapnic stimuli, and between different patterns of stimulus were compared with Chi-Square tests. Interobserver variability was determined by using the intraclass correlation coefficient (P < 0.05 is significant). In total 1115 CVR tests in 662 patients were included in the final analysis. The success rate of generating CVR maps was 90.8% (1012 of 1115). Among the different hypercapnic stimuli, those containing a step plus a ramp protocol was the most successful (95.18%). Among the unsuccessful examinations (9.23%), most were patient related (89.3%), the most common of which was difficulty breathing. CO 4 TECHNICAL EFFICACY: Stage 3.

Sections du résumé

BACKGROUND BACKGROUND
Cerebrovascular reactivity (CVR) is a measure of the change in cerebral blood flow (CBF) in response to a vasoactive challenge. It is a useful indicator of the brain's vascular health.
PURPOSE OBJECTIVE
To evaluate the factors that influence successful and unsuccessful CVR examinations using precise arterial and end-tidal partial pressure of CO
STUDY TYPE METHODS
Retrospective.
SUBJECTS METHODS
Patients that underwent a CVR between October 2005 and May 2021 were studied (total of 1162 CVR examinations). The mean (±SD) age was 46.1 (±18.8) years, and 352 patients (43%) were female.
FIELD STRENGTH/SEQUENCE UNASSIGNED
3 T; T1-weighted images, T2*-weighed two-dimensional gradient-echo sequence with standard echo-planar readout.
ASSESSMENT RESULTS
Measurements were obtained following precise hypercapnic stimuli using BOLD MRI as a surrogate of CBF. Successful CVR examinations were defined as those where: 1) patients were able to complete CVR testing, and 2) a clinically useful CVR map was generated. Unsuccessful examinations were defined as those where patients were not able to complete the CVR examination or the CVR maps were judged to be unreliable due to, for example, excessive head motion, and poor P
STATISTICAL ANALYSIS METHODS
Successful and unsuccessful CVR examinations between hypercapnic stimuli, and between different patterns of stimulus were compared with Chi-Square tests. Interobserver variability was determined by using the intraclass correlation coefficient (P < 0.05 is significant).
RESULTS RESULTS
In total 1115 CVR tests in 662 patients were included in the final analysis. The success rate of generating CVR maps was 90.8% (1012 of 1115). Among the different hypercapnic stimuli, those containing a step plus a ramp protocol was the most successful (95.18%). Among the unsuccessful examinations (9.23%), most were patient related (89.3%), the most common of which was difficulty breathing.
DATA CONCLUSION CONCLUSIONS
CO
EVIDENCE LEVEL METHODS
4 TECHNICAL EFFICACY: Stage 3.

Identifiants

pubmed: 38135486
doi: 10.1002/jmri.29176
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.

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Auteurs

Vishvak Raghavan (V)

School of Computer Science, McGill University, Montreal, Quebec, Canada.

Olivia Sobczyk (O)

Joint Department of Medical Imaging and the Functional Neuroimaging Laboratory, University Health Network, Toronto, Ontario, Canada.

Ece Su Sayin (ES)

Joint Department of Medical Imaging and the Functional Neuroimaging Laboratory, University Health Network, Toronto, Ontario, Canada.
Department of Physiology, University of Toronto, Toronto, Ontario, Canada.

Julien Poublanc (J)

Joint Department of Medical Imaging and the Functional Neuroimaging Laboratory, University Health Network, Toronto, Ontario, Canada.

Abby Skanda (A)

Joint Department of Medical Imaging and the Functional Neuroimaging Laboratory, University Health Network, Toronto, Ontario, Canada.

James Duffin (J)

Department of Physiology, University of Toronto, Toronto, Ontario, Canada.

Lashmi Venkatraghavan (L)

Department of Physiology, University of Toronto, Toronto, Ontario, Canada.
Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada.

Joseph A Fisher (JA)

Joint Department of Medical Imaging and the Functional Neuroimaging Laboratory, University Health Network, Toronto, Ontario, Canada.
Department of Physiology, University of Toronto, Toronto, Ontario, Canada.
Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada.

David J Mikulis (DJ)

Joint Department of Medical Imaging and the Functional Neuroimaging Laboratory, University Health Network, Toronto, Ontario, Canada.

Classifications MeSH