Improved prediction of final infarct volume using bolus delay - Corrected perfusion-weighted MRI

被引:28
|
作者
Rose, SE [1 ]
Janke, AL
Griffin, M
Finnigan, S
Chalk, JB
机构
[1] Univ Queensland, Ctr Magnet Resonance, Brisbane, Qld 4072, Australia
[2] Univ Queensland, Dept Med, Brisbane, Qld 4072, Australia
关键词
cerebral ischemia; magnetic resonance imaging; diffusion-weighted; perfusion-weighted; stroke; acute;
D O I
10.1161/01.STR.0000145199.64907.5a
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background and Purpose-Magnetic resonance imaging (MRI)-based perfusion measures using dynamic susceptibility contrast are extremely useful for identification of ischemic penumbral tissue in acute stroke. However, errors in the measurement of cerebral blood flow (CBF)and mean transit time (MTT) can occur. The aim of this study was to investigate whether bolus delay-corrected (BDC) perfusion measures enable better delineation of the ischemic penumbra. Methods-Diffusion-weighted MRI (DWI) and perfusion-weighted MRI data were acquired from 19 acute stroke patients. Perfusion abnormalities were manually defined on BDC perfusion maps (corrected MTT [cMTT] and corrected CBF [cCBF]), and on maps derived from an arterial input function placed within the contralateral (CBF, MTT) and ipsilateral (ipsilateral CBF [iCBF] and ipsilateral MTT [iMTT]) middle cerebral artery. Perfusion lesion volumes were correlated with 30-day T2-weighted MRI lesion volumes and with clinical outcome using the National Institutes of Health Stroke Scale (NIHSS). Results-Spearman correlation coefficients for comparing lesion volumes delineated on DWI, CBF, iCBF, cCBF, MTT, iMTT, and cMTT maps with 30-day T2-weighted lesion volumes were 0.72, 0.87, 0.88, 0.90, 0.84, 0.92, and 0.96, respectively (all P<0.001). The analogous correlation coefficients for comparing 30-day National Institutes of Health Stroke Scale (NIHSS) scores were 0.39 (NS), 0.69 (NS), 0.75 (P<0.001), 0.62 (NS), 0.72 (P<0.001), 0.78 (P<0.001), and 0.83 (P<0.001), respectively. Conclusions-Uncorrected perfusion lesion volumes overestimated the extent of ischemic injury. BDC perfusion measures (cMTT) correlated more accurately with final lesion volume and clinical outcome. Such measures offer an improved estimation of the final infarct size in acute stroke.
引用
收藏
页码:2466 / 2471
页数:6
相关论文
共 50 条
  • [31] Comparison of Three Automated Ct Perfusion Software Packages for Thrombectomy Eligibility and Final Infarct Volume Prediction
    Pisani, Leonardo
    Mohammaden, Mahmoud
    Bouslama, Mehdi
    Al-bayati, Alhamza R.
    Haussen, Diogo C.
    Frankel, Michael R.
    Nogueira, Raul G.
    STROKE, 2021, 52
  • [32] Analysis of endothelial permeability measurements in differentiation between atypical and typical meningiomas using perfusion-weighted MRI
    Yang, S
    Johnson, G
    Law, M
    Cha, S
    Zagzag, D
    Knopp, EA
    RADIOLOGY, 2002, 225 : 426 - 426
  • [33] CT perfusion imaging versus MR diffusion weighted imaging: Prediction of final infarct size in hyperacute stroke
    Berzin, TM
    Lev, MH
    Goodman, D
    Koroshetz, WJ
    Hunter, GJ
    Hamberg, L
    Buonanno, F
    Putman, C
    Budzik, R
    Eskey, C
    Schwamm, LH
    Gonzalez, RG
    STROKE, 2001, 32 (01) : 317 - 317
  • [34] Radiological phenotyping of IDH mutation status in gliomas using dynamic susceptibility contrast perfusion-weighted MRI
    Roettger, D.
    Sanverdi, E.
    Sudre, C.
    Brandner, S.
    Katsaros, V.
    Bisdas, S.
    ANNALS OF ONCOLOGY, 2018, 29
  • [35] Utility of endothelial permeability measurements in differentiation between atypical and typical meningiomas using perfusion-weighted MRI
    Yang, S
    Johnson, G
    Law, M
    Cha, S
    Zagzag, D
    Knopp, EA
    Litt, AW
    RIVISTA DI NEURORADIOLOGIA, 2003, 16 (06): : 1061 - 1062
  • [36] Prediction of Subacute Infarct Size in Acute Middle Cerebral Artery Stroke: Comparison of Perfusion-weighted Imaging and Apparent Diffusion Coefficient Maps
    Drier, Aurelie
    Tourdias, Thomas
    Attal, Yohan
    Sibon, Igor
    Mutlu, Gurkan
    Lehericy, Stephane
    Samson, Yves
    Chiras, Jacques
    Dormont, Didier
    Orgogozo, Jean-Marc
    Dousset, Vincent
    Rosso, Charlotte
    RADIOLOGY, 2012, 265 (02) : 511 - 517
  • [37] Assessment of Brain Tumour Perfusion Using Early-Phase 18F-FET PET: Comparison with Perfusion-Weighted MRI
    Christian P. Filss
    Julian Cramer
    Saskia Löher
    Philipp Lohmann
    Gabriele Stoffels
    Carina Stegmayr
    Martin Kocher
    Alexander Heinzel
    Norbert Galldiks
    Hans J. Wittsack
    Michael Sabel
    Bernd Neumaier
    Jürgen Scheins
    N. Jon Shah
    Philipp T. Meyer
    Felix M. Mottaghy
    Karl-Josef Langen
    Molecular Imaging and Biology, 2024, 26 : 36 - 44
  • [38] Assessment of Brain Tumour Perfusion Using Early-Phase 18F-FET PET: Comparison with Perfusion-Weighted MRI
    Filss, Christian P.
    Cramer, Julian
    Loeher, Saskia
    Lohmann, Philipp
    Stoffels, Gabriele
    Stegmayr, Carina
    Kocher, Martin
    Heinzel, Alexander
    Galldiks, Norbert
    Wittsack, Hans J.
    Sabel, Michael
    Neumaier, Bernd
    Scheins, Juergen
    Shah, N. Jon
    Meyer, Philipp T.
    Mottaghy, Felix M.
    Langen, Karl-Josef
    MOLECULAR IMAGING AND BIOLOGY, 2024, 26 (01) : 36 - 44
  • [39] Comparison of single-slice dynamic CT perfusion imaging with diffusion and perfusion MRI and final infarct volume in patients with acute hemispheric stroke
    Eastwood, JD
    Lev, MH
    Lee, T
    Azhari, T
    Cheung, RT
    Provenzale, JM
    RADIOLOGY, 2001, 221 : 481 - 481
  • [40] Improved Prediction of the Final Infarct From Acute Stroke Neuroimaging Using Deep Learning
    Niu, Yilin
    Gong, Enhao
    Xu, Junshen
    Pauly, John
    Zaharchuk, Greg
    STROKE, 2018, 49