Cerebral perfusion metrics calculated directly from a hypoxia-induced step change in deoxyhemoglobin.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
25 Jul 2024
Historique:
received: 01 10 2023
accepted: 18 07 2024
medline: 26 7 2024
pubmed: 26 7 2024
entrez: 25 7 2024
Statut: epublish

Résumé

Resting cerebral perfusion metrics can be calculated from the MRI ΔR

Identifiants

pubmed: 39054379
doi: 10.1038/s41598-024-68047-w
pii: 10.1038/s41598-024-68047-w
doi:

Substances chimiques

deoxyhemoglobin 9008-02-0
Hemoglobins 0
Contrast Media 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

17121

Informations de copyright

© 2024. The Author(s).

Références

Chappell, M. A., Mehndiratta, A. & Calamante, F. Correcting for large vessel contamination in dynamic susceptibility contrast perfusion MRI by extension to a physiological model of the vasculature. Magn. Reson. Med. 74, 280–290. https://doi.org/10.1002/mrm.25390 (2015).
doi: 10.1002/mrm.25390 pubmed: 25105939
Calamante, F. Arterial input function in perfusion MRI: A comprehensive review. Prog. Nucl. Magn. Reson. Spectrosc. 74, 1–32. https://doi.org/10.1016/j.pnmrs.2013.04.002 (2013).
doi: 10.1016/j.pnmrs.2013.04.002 pubmed: 24083460
Bleeker, E. J., Webb, A. G., van Walderveen, M. A., van Buchem, M. A. & van Osch, M. J. Evaluation of signal formation in local arterial input function measurements of dynamic susceptibility contrast MRI. Magn. Reson. Med. 67, 1324–1331. https://doi.org/10.1002/mrm.23120 (2012).
doi: 10.1002/mrm.23120 pubmed: 22190258
Shiroishi, M. S. et al. Principles of T2 *-weighted dynamic susceptibility contrast MRI technique in brain tumor imaging. J. Magn. Reson. Imaging 41, 296–313. https://doi.org/10.1002/jmri.24648 (2015).
doi: 10.1002/jmri.24648 pubmed: 24817252
Sobczyk, O. et al. The choroid plexus as an alternative locus for the identification of the arterial input function for calculating cerebral perfusion metrics using MRI. Am. J. Neuroradiol. 45, 44–50. https://doi.org/10.3174/ajnr.A8099 (2024).
doi: 10.3174/ajnr.A8099
Coloigner, J. et al. Transient hypoxia model revealed cerebrovascular impairment in anemia using BOLD MRI and near-infrared spectroscopy. J. Magn. Reson. Imaging https://doi.org/10.1002/jmri.27210 (2020).
doi: 10.1002/jmri.27210 pubmed: 32648323 pmcid: 7655661
Vu, C. et al. Quantitative perfusion mapping with induced transient hypoxia using BOLD MRI. Magn. Reson. Med. 85, 168–181. https://doi.org/10.1002/mrm.28422 (2021).
doi: 10.1002/mrm.28422 pubmed: 32767413
Poublanc, J. et al. Perfusion MRI using endogenous deoxyhemoglobin as a contrast agent: Preliminary data. Magn. Reson. Med. 86, 3012–3021. https://doi.org/10.1002/mrm.28974 (2021).
doi: 10.1002/mrm.28974 pubmed: 34687064
Lee, D., Le, T. T., Im, G. H. & Kim, S.-G. Whole-brain perfusion mapping in mice by dynamic BOLD MRI with transient hypoxia. J. Cereb. Blood Flow Metab. https://doi.org/10.1177/0271678X221117008 (2022).
doi: 10.1177/0271678X221117008 pubmed: 36523131 pmcid: 9903220
Bhogal, A. A. et al. Quantifying cerebral blood arrival times using hypoxia-mediated arterial BOLD contrast. NeuroImage 261, 119523. https://doi.org/10.1016/j.neuroimage.2022.119523 (2022).
doi: 10.1016/j.neuroimage.2022.119523 pubmed: 35907499
Sayin, E. S. et al. Investigations of hypoxia-induced deoxyhemoglobin as a contrast agent for cerebral perfusion imaging. Hum. Brain Mapp. 44, 1019–1029. https://doi.org/10.1002/hbm.26131 (2023).
doi: 10.1002/hbm.26131 pubmed: 36308389
Schulman, J. B. et al. DSC MRI in the human brain using deoxyhemoglobin and gadolinium—simulations and validations at 3T. Fnimg 2023, 2. https://doi.org/10.3389/fnimg.2023.1048652 (2023).
doi: 10.3389/fnimg.2023.1048652
Vu, C. et al. Contrast-free dynamic susceptibility contrast using sinusoidal and bolus oxygenation challenges. NMR Biomed. 2024, e5111. https://doi.org/10.1002/nbm.5111 (2024).
doi: 10.1002/nbm.5111
Slessarev, M. et al. Prospective targeting and control of end-tidal CO2 and O2 concentrations. J. Physiol. 581, 1207–1219 (2007).
doi: 10.1113/jphysiol.2007.129395 pubmed: 17446225 pmcid: 2170842
Ito, S. et al. Non-invasive prospective targeting of arterial PCO2 in subjects at rest. J. Physiol. 586, 3675–3682 (2008).
doi: 10.1113/jphysiol.2008.154716 pubmed: 18565992 pmcid: 2538829
Fierstra, J. et al. Non-invasive accurate measurement of arterial PCO2 in a pediatric animal model. J. Clin. Monit. Comput. 27, 147–155. https://doi.org/10.1007/s10877-012-9403-8 (2013).
doi: 10.1007/s10877-012-9403-8 pubmed: 23100168
Fisher, J. A., Iscoe, S. & Duffin, J. Sequential gas delivery provides precise control of alveolar gas exchange. Respir. Physiol. Neurobiol. 225, 60–69. https://doi.org/10.1016/j.resp.2016.01.004 (2016).
doi: 10.1016/j.resp.2016.01.004
Meier, P. & Zierler, K. L. On the theory of the indicator-dilution method for measurement of blood flow and volume. J. Appl. Physiol. 6, 731–744 (1954).
doi: 10.1152/jappl.1954.6.12.731 pubmed: 13174454
Sayin, E. S. et al. Assessing perfusion in steno-occlusive cerebrovascular disease using transient hypoxia-induced deoxyhemoglobin as a dynamic susceptibility contrast agent. AJNR Am. J. Neuroradiol. 45, 37–43. https://doi.org/10.3174/ajnr.A8068 (2023).
doi: 10.3174/ajnr.A8068 pubmed: 38164571
Vittorio-Stumpo, E. S. S. et al. Transient deoxyhemoglobin formation as a contrast for perfusion MRI studies in patients with brain tumors: A feasibility study. Front. Physiol. https://doi.org/10.3389/fphys.2024.1238533 (2024).
doi: 10.3389/fphys.2024.1238533
Yamaguchi, K., Tsuji, T., Aoshiba, K., Nakamura, H. & Abe, S. Anatomical backgrounds on gas exchange parameters in the lung. World J. Respirol. 9, 8–29. https://doi.org/10.5320/wjr.v9.i2.8] (2019).
doi: 10.5320/wjr.v9.i2.8]
Zhao, K. et al. Physiological system analysis of the kidney by high-temporal-resolution T2 * monitoring of an oxygenation step response. Magn. Reson. Med. 85, 334–345. https://doi.org/10.1002/mrm.28399 (2021).
doi: 10.1002/mrm.28399 pubmed: 32710578
Blockley, N. P. et al. Field strength dependence of R1 and R2 relaxivities of human whole blood to ProHance, vasovist, and deoxyhemoglobin. Magn. Reson. Med. 60, 1313–1320. https://doi.org/10.1002/mrm.21792 (2008).
doi: 10.1002/mrm.21792 pubmed: 19030165
Balaban, D. Y. et al. The in-vivo oxyhaemoglobin dissociation curve at sea level and high altitude. Respir. Physiol. Neurobiol. 186, 45–52. https://doi.org/10.1016/j.resp.2012.12.011 (2013).
doi: 10.1016/j.resp.2012.12.011 pubmed: 23313855
Calamante, F. et al. The physiological significance of the time-to-maximum (Tmax) parameter in perfusion MRI. Stroke 41, 1169–1174. https://doi.org/10.1161/STROKEAHA.110.580670 (2010).
doi: 10.1161/STROKEAHA.110.580670 pubmed: 20413735
Jespersen, S. N. & Ostergaard, L. The roles of cerebral blood flow, capillary transit time heterogeneity, and oxygen tension in brain oxygenation and metabolism. J. Cereb. Blood Flow Metab. 32, 264–277 (2012).
doi: 10.1038/jcbfm.2011.153 pubmed: 22044867
Newbould, R. D. et al. Perfusion mapping with multiecho multishot parallel imaging EPI. Magn. Reson. Med. 58, 70–81. https://doi.org/10.1002/mrm.21255 (2007).
doi: 10.1002/mrm.21255 pubmed: 17659630 pmcid: 3986027
Watabe, T. et al. CBF/CBV maps in normal volunteers studied with (15)O PET: A possible index of cerebral perfusion pressure. Neurosci. Bull. 30, 857–862. https://doi.org/10.1007/s12264-013-1458-0 (2014).
doi: 10.1007/s12264-013-1458-0 pubmed: 25085575 pmcid: 5562584
Grandin, C. B., Bol, A., Smith, A. M., Michel, C. & Cosnard, G. Absolute CBF and CBV measurements by MRI bolus tracking before and after acetazolamide challenge: Repeatabilily and comparison with PET in humans. NeuroImage Orlando, Fla 26, 525–535. https://doi.org/10.1016/j.neuroimage.2005.02.028 (2005).
doi: 10.1016/j.neuroimage.2005.02.028
Ibaraki, M. et al. Cerebral vascular mean transit time in healthy humans: A comparative study with PET and dynamic susceptibility contrast-enhanced MRI. J. Cereb. Blood Flow Metab. 27, 404–413. https://doi.org/10.1038/sj.jcbfm.9600337 (2007).
doi: 10.1038/sj.jcbfm.9600337 pubmed: 16736045
Asaduddin, M., Do, W.-J., Kim, E. Y. & Park, S.-H. Mapping cerebral perfusion from time-resolved contrast-enhanced MR angiographic data. Magn. Reson. Imaging 61, 143–148. https://doi.org/10.1016/j.mri.2019.05.040 (2019).
doi: 10.1016/j.mri.2019.05.040 pubmed: 31150811
Grüner, J. M., Paamand, R., Højgaard, L. & Law, I. Brain perfusion CT compared with15O-H2O-PET in healthy subjects. EJNMMI Res. 1, 28. https://doi.org/10.1186/2191-219X-1-28 (2011).
doi: 10.1186/2191-219X-1-28 pubmed: 22214473 pmcid: 3251173
Wenzel, J. et al. Impaired endothelium-mediated cerebrovascular reactivity promotes anxiety and respiration disorders in mice. Proc. Natl. Acad. Sci. 117, 1753. https://doi.org/10.1073/pnas.1907467117 (2020).
doi: 10.1073/pnas.1907467117 pubmed: 31896584 pmcid: 6983400
Artzi, M. et al. Human cerebral blood volume measurements using dynamic contrast enhancement in comparison to dynamic susceptibility contrast MRI. Neuroradiology 57, 671–678. https://doi.org/10.1007/s00234-015-1518-4 (2015).
doi: 10.1007/s00234-015-1518-4 pubmed: 25845809
Ostergaard, L. et al. Cerebral blood flow measurements by magnetic resonance imaging bolus tracking: Comparison with [(15)O]H2O positron emission tomography in humans. J. Cereb. Blood Flow Metab. 18, 935–940. https://doi.org/10.1097/00004647-199809000-00002 (1998).
doi: 10.1097/00004647-199809000-00002 pubmed: 9740096
Helenius, J. et al. Cerebral hemodynamics in a healthy population measured by dynamic susceptibility contrast MR imaging. Acta Radiol. 44, 538–546. https://doi.org/10.1034/j.1600-0455.2003.00104.x (2003).
doi: 10.1034/j.1600-0455.2003.00104.x pubmed: 14510762
Fieselmann, A., Kowarschik, M., Ganguly, A., Hornegger, J. & Fahrig, R. Deconvolution-based CT and MR brain perfusion measurement: Theoretical model revisited and practical implementation details. Int. J. Biomed. Imaging 2011, 467563. https://doi.org/10.1155/2011/467563 (2011).
doi: 10.1155/2011/467563 pubmed: 21904538 pmcid: 3166726
Sayin, E. S. et al. Transfer function analysis assesses resting cerebral perfusion metrics using hypoxia-induced deoxyhemoglobin as a contrast agent. Front. Physiol. 2023, 14. https://doi.org/10.3389/fphys.2023.1167857 (2023).
doi: 10.3389/fphys.2023.1167857
Mardimae, A. et al. The interaction of carbon dioxide and hypoxia in the control of cerebral blood flow. Eur. J. Physiol. 464, 345–351 (2012).
doi: 10.1007/s00424-012-1148-1
Yang, H.-J. et al. Free-breathing, motion-corrected, highly efficient whole heart T2 mapping at 3T with hybrid radial-cartesian trajectory. Magn. Reson. Med. 75, 126–136. https://doi.org/10.1002/mrm.25576 (2016).
doi: 10.1002/mrm.25576 pubmed: 25753385
Loai, S. et al. Microvascular dysfunction in skeletal muscle precedes myocardial vascular changes in diabetic cardiomyopathy: Sex-dependent differences. Front. Cardiovasc. Med. 2022, 9. https://doi.org/10.3389/fcvm.2022.886687 (2022).
doi: 10.3389/fcvm.2022.886687
Fisher, J. A. The CO2 stimulus for cerebrovascular reactivity: Fixing inspired concentrations vs. targeting end-tidal partial pressures. J. Cereb. Blood Flow Metabol. 36, 1004–1011. https://doi.org/10.1177/0271678x16639326 (2016).
doi: 10.1177/0271678x16639326
Fierstra, J. et al. End-inspiratory rebreathing reduces the end-tidal to arterial PCO(2) gradient in mechanically ventilated pigs. Intensive Care Med. 37, 1543–1550 (2011).
doi: 10.1007/s00134-011-2260-y pubmed: 21647718
Cox, R. W. AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages. Comput. Biomed. Res. 29, 162–173 (1996).
doi: 10.1006/cbmr.1996.0014 pubmed: 8812068
Sobczyk, O. et al. Assessing cerebrovascular reactivity abnormality by comparison to a reference atlas. J. Cereb. Blood Flow Metab. 35, 213–220. https://doi.org/10.1038/jcbfm.2014.184 (2015).
doi: 10.1038/jcbfm.2014.184 pubmed: 25388679
Sobczyk, O. et al. The reproducibility of cerebrovascular reactivity across MRI scanners. Front. Physiol. 12, 668662–668662. https://doi.org/10.3389/fphys.2021.668662 (2021).
doi: 10.3389/fphys.2021.668662 pubmed: 34025455 pmcid: 8134667
Nowinski, W. L. The cerefy brain atlases. Neuroinformatics 3, 293–300. https://doi.org/10.1385/NI:3:4:293 (2005).
doi: 10.1385/NI:3:4:293 pubmed: 16284412

Auteurs

James Duffin (J)

Department of Physiology, University of Toronto, Toronto, ON, Canada. j.duffin@utoronto.ca.
Department of Anaesthesia and Pain Management, University Health Network, Toronto, Canada. j.duffin@utoronto.ca.

Ece Su Sayin (ES)

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

Olivia Sobczyk (O)

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

Julien Poublanc (J)

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

David J Mikulis (DJ)

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

Joseph A Fisher (JA)

Department of Physiology, University of Toronto, Toronto, ON, Canada.
Department of Anaesthesia and Pain Management, University Health Network, Toronto, Canada.
Toronto General Hospital Research Institute, University Health Network, University of Toronto, Toronto, Canada.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH