Limited Reliability of Computed Tomographic Perfusion Acute Infarct Volume Measurements Compared With Diffusion-Weighted Imaging in Anterior Circulation Stroke

被引:80
作者
Schaefer, Pamela W. [1 ]
Souza, Leticia [1 ]
Kamalian, Shervin [1 ]
Hirsch, Joshua A. [1 ]
Yoo, Albert J. [1 ]
Kamalian, Shahmir [1 ]
Gonzalez, R. Gilberto [1 ]
Lev, Michael H. [1 ]
机构
[1] Harvard Univ, Sch Med, Dept Radiol, Massachusetts Gen Hosp, Boston, MA 02115 USA
基金
美国医疗保健研究与质量局; 美国国家卫生研究院;
关键词
stroke; ACUTE ISCHEMIC-STROKE; FOCAL CEREBRAL-ISCHEMIA; MEAN TRANSIT-TIME; PATIENT SELECTION; T2-WEIGHTED MRI; THRESHOLDS VARY; LESION VOLUME; BLOOD-FLOW; CT; THERAPY;
D O I
10.1161/STROKEAHA.114.007117
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-Diffusion-weighted imaging (DWI) can reliably identify critically ischemic tissue shortly after stroke onset. We tested whether thresholded computed tomographic cerebral blood flow (CT-CBF) and CT-cerebral blood volume (CT-CBV) maps are sufficiently accurate to substitute for DWI for estimating the critically ischemic tissue volume. Methods-Ischemic volumes of 55 patients with acute anterior circulation stroke were assessed on DWI by visual segmentation and on CT-CBF and CT-CBV with segmentation using 15% and 30% thresholds, respectively. The contrast: noise ratios of ischemic regions on the DWI and CT perfusion (CTP) images were measured. Correlation and Bland-Altman analyses were used to assess the reliability of CTP. Results-Mean contrast: noise ratios for DWI, CT-CBF, and CT-CBV were 4.3, 0.9, and 0.4, respectively. CTP and DWI lesion volumes were highly correlated (R-2=0.87 for CT-CBF; R-2=0.83 for CT-CBV; P<0.001). Bland-Altman analyses revealed little systemic bias (-2.6 mL) but high measurement variability (95% confidence interval, +/- 56.7 mL) between mean CT-CBF and DWI lesion volumes, and systemic bias (-26 mL) and high measurement variability (95% confidence interval, +/- 64.0 mL) between mean CT-CBV and DWI lesion volumes. A simulated treatment study demonstrated that using CTP-CBF instead of DWI for detecting a statistically significant effect would require at least twice as many patients. Conclusions-The poor contrast: noise ratios of CT-CBV and CT-CBF compared with those of DWI result in large measurement error, making it problematic to substitute CTP for DWI in selecting individual acute stroke patients for treatment. CTP could be used for treatment studies of patient groups, but the number of patients needed to identify a significant effect is much higher than the number needed if DWI is used.
引用
收藏
页码:419 / 424
页数:6
相关论文
共 50 条
  • [21] Experience with diffusion-weighted imaging in an acute stroke unit
    Read, SJ
    Jackson, GD
    Abbott, DF
    Syngeniotis, A
    Mitchell, LA
    Fitt, GR
    Donnan, GA
    [J]. CEREBROVASCULAR DISEASES, 1998, 8 (03) : 135 - 143
  • [22] Diffusion-weighted magnetic resonance imaging in acute stroke
    van Everdingen, KJ
    van der Grond, J
    Kappelle, LJ
    Ramos, LMP
    Mali, WPTM
    [J]. STROKE, 1998, 29 (09) : 1783 - 1790
  • [23] Collateral Flow and Brain Changes on Computed Tomography Angiography Predict Infarct Volume on Early Diffusion-weighted Imaging
    Aoki, Junya
    Tateishi, Yohei
    Cummings, Christopher L.
    Cheng-Ching, Esteban
    Ruggieri, Paul
    Hussain, Muhammad Shazam
    Uchino, Ken
    [J]. JOURNAL OF STROKE & CEREBROVASCULAR DISEASES, 2014, 23 (10) : 2845 - 2850
  • [24] Spatial accuracy of computed tomography perfusion to estimate the follow-up infarct on diffusion-weighted imaging after successful mechanical thrombectomy
    Xu, Xiao-Quan
    Ma, Gao
    Shen, Guang-Chen
    Lu, Shan-Shan
    Shi, Hai-Bin
    Zhang, Ya-Xi
    Zhang, Yu
    Wu, Fei-Yun
    Liu, Sheng
    [J]. BMC NEUROLOGY, 2023, 23 (01)
  • [25] Accuracy of Diffusion-Weighted Imaging in the Diagnosis of Stroke in Patients With Suspected Cerebral Infarct
    Brunser, Alejandro M.
    Hoppe, Arnold
    Illanes, Sergio
    Diaz, Violeta
    Munoz, Paula
    Carcamo, Daniel
    Olavarria, Veronica
    Valenzuela, Marcela
    Lavados, Pablo
    [J]. STROKE, 2013, 44 (04) : 1169 - 1171
  • [26] Agreement between estimated computed tomography perfusion ischemic core and follow-up infarct on diffusion-weighted imaging
    Yang, Wenjin
    Hoving, Jan W.
    Koopman, Miou S.
    Tolhuisen, Manon L.
    van Voorst, Henk
    Berkheme, Olvert A.
    Coutinho, Jonathan M.
    Beenen, Ludo F. M.
    Emmer, Bart J.
    [J]. INSIGHTS INTO IMAGING, 2022, 13 (01)
  • [27] Diffusion-weighted imaging as predictor of acute ischemic stroke etiology
    Michel Brunser, Alejandro
    Mansilla, Eloy
    Navia, Victor
    Mazzon, Enrico
    Rojo, Alexis
    Cavada, Gabriel
    Olavarria, Veronica
    Munoz Venturelli, Paula
    Manuel Lavados, Pablo
    [J]. ARQUIVOS DE NEURO-PSIQUIATRIA, 2022, 80 (04) : 353 - 359
  • [28] Diffusion-weighted imaging in acute stroke -: A tool of uncertain value?
    Fiehler, J
    Fiebach, JB
    Gass, A
    Hoehn, M
    Kucinski, T
    Neumann-Haefelin, T
    Schellinger, PD
    Siebler, M
    Villringer, A
    Röther, J
    [J]. CEREBROVASCULAR DISEASES, 2002, 14 (3-4) : 187 - 196
  • [29] Visual assessment of diffusion weighted imaging infarct volume lacks accuracy and reliability
    Khoury, Naim
    Dargazanli, Cyril
    Guenego, Adrien
    Zuber, Kevin
    Ekmen, Asya
    Charbonnier, Guillaume
    Hebert, Solene
    Capron, Jean
    Sabben, Candice
    Morvan, Erwan
    Boisseau, William
    Maier, Benjamin
    Premat, Kevin
    Clarencon, Frederic
    Smajda, Stanislas
    Redjem, Hocine
    Chalumeau, Vanessa
    Boulouis, Gregoire
    Chetrit, Annaelle
    Lecler, Augustin
    Koskas, Patricia
    Duron, Loic
    Ciccio, Gabriele
    Ducroux, Celina
    Escalard, Simon
    Desilles, Jean Philippe
    Hamdani, Mylene
    Lapergue, Bertrand
    Mazighi, Mikael
    Ben Maacha, Malek
    Brikci-Nigassa, Nahida
    Blanc, Raphael
    Piotin, Michel
    Fahed, Robert
    [J]. JOURNAL OF NEUROINTERVENTIONAL SURGERY, 2019, 11 (09) : 947 - 954
  • [30] Sensitivity of Diffusion- and Perfusion-Weighted Imaging for Diagnosing Acute Ischemic Stroke Is 97.5%
    Simonsen, Claus Z.
    Madsen, Mette H.
    Schmitz, Marie L.
    Mikkelsen, Irene K.
    Fisher, Marc
    Andersen, Grethe
    [J]. STROKE, 2015, 46 (01) : 98 - 101