Skip to main content
Advertisement

Main menu

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home

User menu

  • Alerts
  • Log in

Search

  • Advanced search
American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

ASHNR American Society of Functional Neuroradiology ASHNR American Society of Pediatric Neuroradiology ASSR
  • Alerts
  • Log in

Advanced Search

  • Home
  • Content
    • Current Issue
    • Accepted Manuscripts
    • Article Preview
    • Past Issue Archive
    • Video Articles
    • AJNR Case Collection
    • Case of the Week Archive
    • Case of the Month Archive
    • Classic Case Archive
  • Special Collections
    • AJNR Awards
    • Low-Field MRI
    • Alzheimer Disease
    • ASNR Foundation Special Collection
    • Photon-Counting CT
    • View All
  • Multimedia
    • AJNR Podcasts
    • AJNR SCANtastic
    • Trainee Corner
    • MRI Safety Corner
    • Imaging Protocols
  • For Authors
    • Submit a Manuscript
    • Submit a Video Article
    • Submit an eLetter to the Editor/Response
    • Manuscript Submission Guidelines
    • Statistical Tips
    • Fast Publishing of Accepted Manuscripts
    • Graphical Abstract Preparation
    • Imaging Protocol Submission
    • Author Policies
  • About Us
    • About AJNR
    • Editorial Board
    • Editorial Board Alumni
  • More
    • Become a Reviewer/Academy of Reviewers
    • Subscribers
    • Permissions
    • Alerts
    • Feedback
    • Advertisers
    • ASNR Home
  • Follow AJNR on Twitter
  • Visit AJNR on Facebook
  • Follow AJNR on Instagram
  • Join AJNR on LinkedIn
  • RSS Feeds

AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Research ArticleNeurovascular/Stroke Imaging

Quantification of Infarct Core Volume in Patients with Acute Ischemic Stroke Using Cerebral Metabolic Rate of Oxygen in CT Perfusion

Chuluunbaatar Otgonbaatar, Huijin Song, Keun-Hwa Jung, Inpyeong Hwang, Young Hun Jeon, Kyu Sung Choi, Dong Hyun Yoo and Chul-Ho Sohn
American Journal of Neuroradiology October 2024, 45 (10) 1432-1440; DOI: https://doi.org/10.3174/ajnr.A8360
Chuluunbaatar Otgonbaatar
aFrom the Department of Radiology, College of Medicine (C.O., C.-H.S.), Seoul National University, Seoul, South Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Chuluunbaatar Otgonbaatar
Huijin Song
bBiomedical Research Institute (H.S.), Seoul National University Hospital, Seoul, South Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Huijin Song
Keun-Hwa Jung
cDepartments of Neurology (K.-H.J.), Seoul National University Hospital, Seoul, South Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Keun-Hwa Jung
Inpyeong Hwang
dDepartments of Radiology (I.H., Y.H.J., K.S.C., D.H.Y., C.-H.S.), Seoul National University Hospital, Seoul, South Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Inpyeong Hwang
Young Hun Jeon
dDepartments of Radiology (I.H., Y.H.J., K.S.C., D.H.Y., C.-H.S.), Seoul National University Hospital, Seoul, South Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Young Hun Jeon
Kyu Sung Choi
dDepartments of Radiology (I.H., Y.H.J., K.S.C., D.H.Y., C.-H.S.), Seoul National University Hospital, Seoul, South Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Kyu Sung Choi
Dong Hyun Yoo
dDepartments of Radiology (I.H., Y.H.J., K.S.C., D.H.Y., C.-H.S.), Seoul National University Hospital, Seoul, South Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Dong Hyun Yoo
Chul-Ho Sohn
aFrom the Department of Radiology, College of Medicine (C.O., C.-H.S.), Seoul National University, Seoul, South Korea
dDepartments of Radiology (I.H., Y.H.J., K.S.C., D.H.Y., C.-H.S.), Seoul National University Hospital, Seoul, South Korea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Chul-Ho Sohn
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • Responses
  • References
  • PDF
Loading

References

  1. 1.↵
    1. Lui YW,
    2. Tang ER,
    3. Allmendinger AM, et al
    . Evaluation of CT perfusion in the setting of cerebral ischemia: patterns and pitfalls. AJNR Am J Neuroradiol 2010;31:1552–63 doi:10.3174/ajnr.A2026 pmid:20190208
    Abstract/FREE Full Text
  2. 2.↵
    1. Mangla R,
    2. Ekhom S,
    3. Jahromi BS, et al
    . CT perfusion in acute stroke: know the mimics, potential pitfalls, artifacts, and technical errors. Emerg Radiology 2014;21:49–65 doi:10.1007/s10140-013-1125-9 pmid:23771605
    CrossRefPubMed
  3. 3.↵
    1. Albers GW,
    2. Marks MP,
    3. Kemp S, et al
    ; DEFUSE 3 Investigators. Thrombectomy for stroke at 6 to 16 hours with selection by perfusion imaging. N Engl J Med 2018;378:708–18 doi:10.1056/NEJMoa1713973 pmid:29364767
    CrossRefPubMed
  4. 4.↵
    1. Nogueira RG,
    2. Jadhav AP,
    3. Haussen DC, et al
    ; DAWN Trial Investigators. Thrombectomy 6 to 24 hours after stroke with a mismatch between deficit and infarct. N Engl J Med 2018;378:11–21 doi:10.1056/NEJMoa1706442 pmid:29129157
    CrossRefPubMed
  5. 5.↵
    1. Parsons MW,
    2. Pepper EM,
    3. Chan V, et al
    . Perfusion computed tomography: prediction of final infarct extent and stroke outcome. Ann Neurol 2005;58:672–79 doi:10.1002/ana.20638 pmid:16240339
    CrossRefPubMedWeb of Science
  6. 6.↵
    1. Powers WJ,
    2. Rabinstein AA,
    3. Ackerson T, et al
    . Guidelines for the Early Management of Patients With Acute Ischemic Stroke: 2019 Update to the 2018 Guidelines for the Early Management of Acute Ischemic Stroke: A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association. Stroke 2019;50:e344–418 doi:10.1161/STR.0000000000000211 pmid:31662037
    CrossRefPubMed
  7. 7.↵
    1. Sarraj A,
    2. Hassan AE,
    3. Abraham MG, et al
    ; SELECT2 Investigators. Trial of endovascular thrombectomy for large ischemic strokes. N Engl J Med 2023;388:1259–71 doi:10.1056/NEJMoa2214403 pmid:36762865
    CrossRefPubMed
  8. 8.↵
    1. Huo X,
    2. Ma G,
    3. Tong X, et al
    ; ANGEL-ASPECT Investigators. Trial of endovascular therapy for acute ischemic stroke with large infarct. N Engl J Med 2023;388:1272–83 doi:10.1056/NEJMoa2213379 pmid:36762852
    CrossRefPubMed
  9. 9.↵
    1. Nagaraja N,
    2. Forder JR,
    3. Warach S, et al
    . Reversible diffusion-weighted imaging lesions in acute ischemic stroke: a systematic review. Neurology 2020;94:571–87 doi:10.1212/WNL.0000000000009173 pmid:32132175
    Abstract/FREE Full Text
  10. 10.↵
    1. Rava RA,
    2. Snyder KV,
    3. Mokin M, et al
    . Assessment of a Bayesian vitrea CT perfusion analysis to predict final infarct and penumbra volumes in patients with acute ischemic stroke: a comparison with RAPID. AJNR Am J Neuroradiol 2020;41:206–12 doi:10.3174/ajnr.A6395 pmid:31948951
    Abstract/FREE Full Text
  11. 11.↵
    1. Bisdas S,
    2. Konstantinou GN,
    3. Gurung J, et al
    . Effect of the arterial input function on the measured perfusion values and infarct volumetric in acute cerebral ischemia evaluated by perfusion computed tomography. Invest Radiology 2007;42:147–56 doi:10.1097/01.rli.0000252486.79800.a7 pmid:17287644
    CrossRefPubMed
  12. 12.↵
    1. Bivard A,
    2. McElduff P,
    3. Spratt N, et al
    . Defining the extent of irreversible brain ischemia using perfusion computed tomography. Cerebrovasc Dis 2011;31:238–45 doi:10.1159/000321897 pmid:21178348
    CrossRefPubMed
  13. 13.↵
    1. Kudo K,
    2. Sasaki M,
    3. Yamada K, et al
    . Differences in CT perfusion maps generated by different commercial software: quantitative analysis by using identical source data of acute stroke patients. Radiology 2010;254:200–09 doi:10.1148/radiol.254082000 pmid:20032153
    CrossRefPubMedWeb of Science
  14. 14.↵
    1. Thierfelder KM,
    2. von Baumgarten L,
    3. Löchelt AC, et al
    . Diagnostic accuracy of whole-brain computed tomographic perfusion imaging in small-volume infarctions. Invest Radiology 2014;49:236–42 doi:10.1097/RLI.0000000000000023 pmid:24500091
    CrossRefPubMed
  15. 15.↵
    1. Qiao Y,
    2. Zhu G,
    3. Patrie J, et al
    . Optimal perfusion computed tomographic thresholds for ischemic core and penumbra are not time dependent in the clinically relevant time window. Stroke 2014;45:1355–62 doi:10.1161/STROKEAHA.113.003362 pmid:24627117
    Abstract/FREE Full Text
  16. 16.↵
    1. Cereda CW,
    2. Christensen S,
    3. Campbell BCV, et al
    . A benchmarking tool to evaluate computer tomography perfusion infarct core predictions against a DWI standard. J Cereb Blood Flow Metab 2016;36:1780–89 doi:10.1177/0271678X15610586 pmid:26661203
    CrossRefPubMed
  17. 17.↵
    1. Koopman MS,
    2. Berkhemer OA,
    3. Geuskens R, et al
    ; MR CLEAN Trial Investigators. Comparison of three commonly used CT perfusion software packages in patients with acute ischemic stroke. J Neurointerv Surg 2019;11:1249–56 doi:10.1136/neurintsurg-2019-014822 pmid:31203208
    Abstract/FREE Full Text
  18. 18.↵
    1. Mintun MA,
    2. Raichle ME,
    3. Martin WR, et al
    . Brain oxygen utilization measured with O-15 radiotracers and positron emission tomography. J Nucl Med 1984;25:177–87 pmid:6610032
    Abstract/FREE Full Text
  19. 19.↵
    1. Shimosegawa E,
    2. Hatazawa J,
    3. Ibaraki M, et al
    . Metabolic penumbra of acute brain infarction: a correlation with infarct growth. Ann Neurol 2005;57:495–504 doi:10.1002/ana.20427 pmid:15786459
    CrossRefPubMedWeb of Science
  20. 20.↵
    1. Sakoh M,
    2. Ostergaard L,
    3. Røhl L, et al
    . Relationship between residual cerebral blood flow and oxygen metabolism as predictive of ischemic tissue viability: sequential multitracer positron emission tomography scanning of middle cerebral artery occlusion during the critical first 6 hours after stroke in pigs. J Neurosurg 2000;93:647–57 doi:10.3171/jns.2000.93.4.0647 pmid:11014544
    CrossRefPubMedWeb of Science
  21. 21.↵
    1. Frykholm P,
    2. Andersson JL,
    3. Valtysson J, et al
    . A metabolic threshold of irreversible ischemia demonstrated by PET in a middle cerebral artery occlusion-reperfusion primate model. Acta Neurol Scand 2000;102:18–26 doi:10.1034/j.1600-0404.2000.102001018.x pmid:10893058
    CrossRefPubMedWeb of Science
  22. 22.↵
    1. Baron JC,
    2. Bousser MG,
    3. Rey A, et al
    . Reversal of focal “misery-perfusion syndrome” by extra-intracranial arterial bypass in hemodynamic cerebral ischemia. A case study with 15O positron emission tomography. Stroke 1981;12:454–59 doi:10.1161/01.str.12.4.454 pmid:6976022
    Abstract/FREE Full Text
  23. 23.↵
    1. Jespersen SN,
    2. Østergaard L
    . The roles of cerebral blood flow, capillary transit time heterogeneity, and oxygen tension in brain oxygenation and metabolism. J Cereb Blood Flow Metab 2012;32:264–77 doi:10.1038/jcbfm.2011.153 pmid:22044867
    CrossRefPubMed
  24. 24.↵
    1. Mouridsen K,
    2. Friston K,
    3. Hjort N, et al
    . Bayesian estimation of cerebral perfusion using a physiological model of microvasculature. Neuroimage 2006;33:570–79 doi:10.1016/j.neuroimage.2006.06.015 pmid:16971140
    CrossRefPubMedWeb of Science
  25. 25.↵
    1. Mouridsen K,
    2. Hansen MB,
    3. Østergaard L, et al
    . Reliable estimation of capillary transit time distributions using DSC-MRI. J Cereb Blood Flow Metab 2014;34:1511–21 doi:10.1038/jcbfm.2014.111 pmid:24938401
    CrossRefPubMed
  26. 26.↵
    1. Svedung Wettervik T,
    2. Fahlström M,
    3. Wikström J, et al
    . Cerebrovascular reserve in moyamoya disease: relation to cerebral blood flow, capillary dysfunction, oxygenation, and energy metabolism. Front Neurol 2023;14:1190309 doi:10.3389/fneur.2023.1190309 pmid:37545732
    CrossRefPubMed
  27. 27.↵
    1. Østergaard L,
    2. Jespersen SN,
    3. Mouridsen K, et al
    . The role of the cerebral capillaries in acute ischemic stroke: the extended penumbra model. J Cereb Blood Flow Metab 2013;33:635–48 doi:10.1038/jcbfm.2013.18 pmid:23443173
    CrossRefPubMed
  28. 28.↵
    1. Crespo Pimentel B,
    2. Sedlacik J,
    3. Schröder J, et al
    . Comprehensive evaluation of cerebral hemodynamics and oxygen metabolism in revascularization of asymptomatic high-grade carotid stenosis. Clin Neuroradiol 2022;32:163–73 doi:10.1007/s00062-021-01077-3 pmid:34487195
    CrossRefPubMed
  29. 29.↵
    1. Fischl B
    . FreeSurfer. Neuroimage 2012;62:774–81 doi:10.1016/j.neuroimage.2012.01.021
    CrossRefPubMedWeb of Science
  30. 30.↵
    1. Smith SM,
    2. Jenkinson M,
    3. Woolrich MW, et al
    . Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 2004;23(Suppl 1):S208–219 doi:10.1016/j.neuroimage.2004.07.051 pmid:15501092
    CrossRefPubMed
  31. 31.↵
    1. Purushotham A,
    2. Campbell BC,
    3. Straka M, et al
    . Apparent diffusion coefficient threshold for delineation of ischemic core. Int J Stroke 2015;10:348–53 doi:10.1111/ijs.12068 pmid:23802548
    CrossRefPubMed
  32. 32.↵
    1. Jiang D,
    2. Lin Z,
    3. Liu P, et al
    . Brain oxygen extraction is differentially altered by Alzheimer's and vascular diseases. J Magn Reson Imaging 2020;52:1829–37 doi:10.1002/jmri.27264 pmid:32567195
    CrossRefPubMed
  33. 33.↵
    1. Lin W,
    2. Powers WJ
    . Oxygen metabolism in acute ischemic stroke. J Cereb Blood Flow Metab 2018;38:1481–99 doi:10.1177/0271678X17722095 pmid:28792276
    CrossRefPubMed
  34. 34.↵
    1. Fan AP,
    2. An H,
    3. Moradi F, et al
    . Quantification of brain oxygen extraction and metabolism with [(15)O]-gas PET: a technical review in the era of PET/MRI. Neuroimage 2020;220:117136 doi:10.1016/j.neuroimage.2020.117136 pmid:32634594
    CrossRefPubMed
  35. 35.↵
    1. Powers WJ,
    2. Grubb RL, Jr.,
    3. Darriet D, et al
    . Cerebral blood flow and cerebral metabolic rate of oxygen requirements for cerebral function and viability in humans. J Cereb Blood Flow Metab 1985;5:600–08 doi:10.1038/jcbfm.1985.89 pmid:3877067
    CrossRefPubMedWeb of Science
  36. 36.↵
    1. Baron JC,
    2. Rougemont D,
    3. Bousser MG, et al
    . Local CBF, Oxygen Extraction Fraction (OEF) and CMRO2: Prognostic Value in Recent Supratentorial Infarction in Humans. J Cereb Blood Flow Metab, France 1983:3
  37. 37.↵
    1. Marchal G,
    2. Benali K,
    3. Iglesias S, et al
    . Voxel-based mapping of irreversible ischaemic damage with PET in acute stroke. Brain 1999;122(Pt 12):2387–400 doi:10.1093/brain/122.12.2387 pmid:10581231
    CrossRefPubMed
  38. 38.↵
    1. An H,
    2. Ford AL,
    3. Chen Y, et al
    . Defining the ischemic penumbra using magnetic resonance oxygen metabolic index. Stroke 2015;46:982–88 doi:10.1161/STROKEAHA.114.008154 pmid:25721017
    Abstract/FREE Full Text
  39. 39.↵
    1. Touzani O,
    2. Young AR,
    3. Derlon JM, et al
    . Progressive impairment of brain oxidative metabolism reversed by reperfusion following middle cerebral artery occlusion in anaesthetized baboons. Brain Res 1997;767:17–25 doi:10.1016/s0006-8993(97)00515-5 pmid:9365011
    CrossRefPubMed
  40. 40.↵
    1. Marchal G,
    2. Furlan M,
    3. Beaudouin V, et al
    . Early spontaneous hyperperfusion after stroke. A marker of favourable tissue outcome? Brain 1996;119(Pt 2):409–19 doi:10.1093/brain/119.2.409 pmid:8800936
    CrossRefPubMed
  41. 41.↵
    1. Powers WJ
    . Cerebral hemodynamics in ischemic cerebrovascular disease. Ann Neurol 1991;29:231–40 doi:10.1002/ana.410290302 pmid:2042939
    CrossRefPubMedWeb of Science
  42. 42.↵
    1. Rava RA,
    2. Snyder KV,
    3. Mokin M, et al
    . Assessment of computed tomography perfusion software in predicting spatial location and volume of infarct in acute ischemic stroke patients: a comparison of Sphere, Vitrea, and RAPID. J Neurointerv Surg 2021;13:130–35 doi:10.1136/neurintsurg-2020-015966 pmid:32457224
    Abstract/FREE Full Text
  43. 43.↵
    1. Guadagno JV,
    2. Warburton EA,
    3. Jones PS, et al
    . The diffusion-weighted lesion in acute stroke: heterogeneous patterns of flow/metabolism uncoupling as assessed by quantitative positron emission tomography. Cerebrovasc Dis 2005;19:239–46 doi:10.1159/000084087 pmid:15741718
    CrossRefPubMed
  44. 44.↵
    1. Read SJ,
    2. Bladin CF,
    3. Yasaka M, et al
    . How time dependent is the threshold for cerebral infarction? Stroke 1996;27:1918–20 pmid:8841359
    PubMed
  45. 45.↵
    1. Bouslama M,
    2. Ravindran K,
    3. Rodrigues GM, et al
    . Falsely normal CT perfusion ischemic core readings are common and often associated with deep infarcts. J Neurointerv Surg 2023;15:183–87 doi:10.1136/neurintsurg-2021-018490 pmid:35273106
    Abstract/FREE Full Text
  46. 46.↵
    1. Fladt J,
    2. Guo J,
    3. Specht JL, et al
    . Infarct evolution on MR-DWI after thrombectomy in acute stroke patients randomized to nerinetide or placebo: the REPERFUSE-NA1 Study. Neurology 2024;102:e207976 doi:10.1212/WNL.0000000000207976 pmid:38165335
    CrossRefPubMed
  47. 47.↵
    1. Otgonbaatar C,
    2. Lee JY,
    3. Jung KH, et al
    . Quantifying infarct core volume in ischemic stroke: what is the optimal threshold and parameters of computed tomography perfusion? J Stroke Cerebrovasc Dis 2023;32:107062 doi:10.1016/j.jstrokecerebrovasdis.2023.107062 pmid:36948076
    CrossRefPubMed
  48. 48.↵
    1. Hoving JW,
    2. Marquering HA,
    3. Majoie C, et al
    . Volumetric and spatial accuracy of computed tomography perfusion estimated ischemic core volume in patients with acute ischemic stroke. Stroke 2018;49:2368–75 doi:10.1161/STROKEAHA.118.020846 pmid:30355095
    CrossRefPubMed
  49. 49.↵
    1. Albers GW
    . Late window paradox. Stroke 2018;49:768–71 doi:10.1161/STROKEAHA.117.020200 pmid:29367336
    FREE Full Text
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 45 (10)
American Journal of Neuroradiology
Vol. 45, Issue 10
1 Oct 2024
  • Table of Contents
  • Index by author
  • Complete Issue (PDF)
Advertisement
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on American Journal of Neuroradiology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Quantification of Infarct Core Volume in Patients with Acute Ischemic Stroke Using Cerebral Metabolic Rate of Oxygen in CT Perfusion
(Your Name) has sent you a message from American Journal of Neuroradiology
(Your Name) thought you would like to see the American Journal of Neuroradiology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Cite this article
Chuluunbaatar Otgonbaatar, Huijin Song, Keun-Hwa Jung, Inpyeong Hwang, Young Hun Jeon, Kyu Sung Choi, Dong Hyun Yoo, Chul-Ho Sohn
Quantification of Infarct Core Volume in Patients with Acute Ischemic Stroke Using Cerebral Metabolic Rate of Oxygen in CT Perfusion
American Journal of Neuroradiology Oct 2024, 45 (10) 1432-1440; DOI: 10.3174/ajnr.A8360

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
0 Responses
Respond to this article
Share
Bookmark this article
Infarct Core Volume in Ischemic Stroke CT
Chuluunbaatar Otgonbaatar, Huijin Song, Keun-Hwa Jung, Inpyeong Hwang, Young Hun Jeon, Kyu Sung Choi, Dong Hyun Yoo, Chul-Ho Sohn
American Journal of Neuroradiology Oct 2024, 45 (10) 1432-1440; DOI: 10.3174/ajnr.A8360
del.icio.us logo Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Purchase

Jump to section

  • Article
    • Abstract
    • ABBREVIATIONS:
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSIONS
    • Footnotes
    • References
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • Responses
  • References
  • PDF

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Crossref
  • Google Scholar

This article has not yet been cited by articles in journals that are participating in Crossref Cited-by Linking.

More in this TOC Section

  • IVIM MRI in the Ischemic Penumbra
  • DMV, IFS and CSVD burden
  • Role of Hypoperfusion Intensity Ratio in Vessel Occlusions: A Review on Safety and Clinical Outcomes
Show more NEUROVASCULAR/STROKE IMAGING

Similar Articles

Advertisement

Indexed Content

  • Current Issue
  • Accepted Manuscripts
  • Article Preview
  • Past Issues
  • Editorials
  • Editor's Choice
  • Fellows' Journal Club
  • Letters to the Editor
  • Video Articles

Cases

  • Case Collection
  • Archive - Case of the Week
  • Archive - Case of the Month
  • Archive - Classic Case

More from AJNR

  • Trainee Corner
  • Imaging Protocols
  • MRI Safety Corner
  • Book Reviews

Multimedia

  • AJNR Podcasts
  • AJNR Scantastics

Resources

  • Turnaround Time
  • Submit a Manuscript
  • Submit a Video Article
  • Submit an eLetter to the Editor/Response
  • Manuscript Submission Guidelines
  • Statistical Tips
  • Fast Publishing of Accepted Manuscripts
  • Graphical Abstract Preparation
  • Imaging Protocol Submission
  • Evidence-Based Medicine Level Guide
  • Publishing Checklists
  • Author Policies
  • Become a Reviewer/Academy of Reviewers
  • News and Updates

About Us

  • About AJNR
  • Editorial Board
  • Editorial Board Alumni
  • Alerts
  • Permissions
  • Not an AJNR Subscriber? Join Now
  • Advertise with Us
  • Librarian Resources
  • Feedback
  • Terms and Conditions
  • AJNR Editorial Board Alumni

American Society of Neuroradiology

  • Not an ASNR Member? Join Now

© 2025 by the American Society of Neuroradiology All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Print ISSN: 0195-6108 Online ISSN: 1936-959X

Powered by HighWire