Comparison of Automated CT Perfusion Softwares in Evaluation of Acute Ischemic Stroke

被引:40
|
作者
Xiong, Yunyun [1 ]
Huang, Chiwen C. [2 ,3 ,4 ]
Fisher, Marc [1 ]
Hackney, David B. [2 ]
Bhadelia, Rafeeque A. [2 ]
Selim, Magdy H. [1 ]
机构
[1] Harvard Med Sch, Beth Israel Deaconess Med Ctr, Stroke Div, Dept Neurol, Boston, MA 02115 USA
[2] Harvard Med Sch, Beth Israel Deaconess Med Ctr, Dept Radiol, Boston, MA 02115 USA
[3] Taipei Med Univ, Wan Fang Hosp, Dept Radiol, Taipei, Taiwan
[4] Taipei Med Univ, Coll Med, Sch Med, Dept Radiol, Taipei, Taiwan
来源
关键词
Stroke; computed tomography; perfusion imaging; RAPID; Olea; CORE VOLUME; THROMBECTOMY; INFARCT;
D O I
10.1016/j.jstrokecerebrovasdis.2019.104392
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Background and Purpose: Automated imaging software is integral to decision-making in acute ischemic stroke (AIS) during extended time windows. RAPID software is the most widely used and has been validated in landmark endovascular trials. Olea software is another commercially available and FDA-approved software, but has not been studied in AIS trials. We aimed to compare the diagnostic utility and accuracy of RAPID and Olea in everyday clinical practice outside of a clinical trial. Methods: We analyzed prospectively-collected data from a consecutive cohort of 141 patients with suspected AIS who underwent computed tomography perfusion upon presentation followed by diffusion-weighted magnetic resonance imaging (DWI-MRI) within 24-48 hours. Core infarct was defined as the region with a relative cerebral blood flow (rCBF) less than 30% on RAPID and rCBF less than 40% on Olea (default settings). We also evaluated rCBF less than 30% on Olea to match RAPID's default setting. Infarct volume on DWI-MRI was measured using a semi-automated segmentation method. Results: Twenty-one patients were excluded; 14 due to poor bolus tracking and/or motion artifact, and 7 due to software failure. The software failure rate was 4.7% [6/127] with RAPID versus .78% [1/127] with Olea (P = .12). For the remaining 120 patients, the sensitivity and specificity for detecting an acute infarct were 40.5% and 97.6% for RAPID; 50.6% and 85.4% for Olea; and for detecting large infarcts (>= 70 mL on DWI-MRI) 73.7% and 81.2% for RAPID; 73.7% and 68.3% for Olea. Core infarct volume on RAPID was more closely correlated with DWI-MRI infarct volume (rho = .64) than Olea (rho = .42). Conclusions: Our head-to-head comparison of these 2 commonly-used softwares in the clinical setting elucidates the pros and cons of their use to guide decision-making for AIS management in the acute setting.
引用
收藏
页数:7
相关论文
共 50 条
  • [31] Comparing the outcomes of two independent computed tomography perfusion softwares and their impact on therapeutic decisions in acute ischemic stroke
    Bathla, Girish
    Ortega-Gutierrez, Santiago
    Klotz, Ernst
    Juergens, Markus
    Zevallos, Cynthia B.
    Ansari, Sameer
    Ward, Caitlin E.
    Policeni, Bruno
    Samaniego, Edgar
    Derdeyn, Colin
    JOURNAL OF NEUROINTERVENTIONAL SURGERY, 2020, 12 (10) : 1028 - 1032
  • [32] Dynamics of perfusion CT parameters in the early acute phase of ischemic stroke
    Shamalov, N. A.
    Gubsky, L. V.
    Ramazanov, G. R.
    Anisimov, K. V.
    Shetova, I. M.
    Gaponova, N. I.
    Tereshchenko, S. N.
    Plavunov, N. F.
    Skvortsova, V. I.
    ZHURNAL NEVROLOGII I PSIKHIATRII IMENI S S KORSAKOVA, 2012, 112 (03) : 3 - 6
  • [33] Predictive Value of CT Perfusion in Hyper Acute Ischemic Stroke Patients
    Pala, Varun Kumar
    Chandra, Rahul
    Ravelo, Aaron
    Hackett, Christopher
    Cerejo, Russell
    STROKE, 2020, 51
  • [34] Association of CT Perfusion Parameters with Hemorrhagic Transformation in Acute Ischemic Stroke
    Jain, A. R.
    Jain, M.
    Kanthala, A. R.
    Damania, D.
    Stead, L. G.
    Wang, H. Z.
    Jahromi, B. S.
    AMERICAN JOURNAL OF NEURORADIOLOGY, 2013, 34 (10) : 1895 - 1900
  • [35] Effectiveness of CT Computed Tomography Perfusion in Diagnostics of Acute Ischemic Stroke
    Menzilcioglu, Mehmet Sait
    Mete, Ahmet
    Unverdi, Zeyni
    POLISH JOURNAL OF RADIOLOGY, 2015, 80 : 549 - 554
  • [36] Pitfalls of CT Perfusion Imaging in Acute Ischemic Stroke: A Case Series
    Bacharach, Rae
    Niazi, Muhammad
    Ermak, David
    NEUROLOGY, 2018, 90
  • [37] Application of quantitative EEG in acute ischemic stroke patients who underwent thrombectomy: A comparison with CT perfusion
    Zhang, Na
    Chen, Fangmei
    Xie, Xufang
    Xie, Zunchun
    Hong, Daojun
    Li, Jun
    Ouyang, Taohui
    CLINICAL NEUROPHYSIOLOGY, 2022, 141 : 24 - 33
  • [38] Evaluation of Diffusion–Perfusion Mismatch in Acute Ischemic Stroke with a New Automated Perfusion-Weighted Imaging Software: A Retrospective Study
    Yunyun Xiong
    Yu Luo
    Mingming Wang
    Shih-Ting Yang
    Ruiqiong Shi
    Wanxing Ye
    Guangshuo Li
    Kaixuan Yang
    Shang Wang
    Zixiao Li
    Yongjun Wang
    Neurology and Therapy, 2022, 11 : 1777 - 1788
  • [39] Acute Ischemic Stroke or Epileptic Seizure? Yield of CT Perfusion in a "Code Stroke" Situation
    Lucas, L.
    Gariel, F.
    Menegon, P.
    Aupy, J.
    Thomas, B.
    Tourdias, T.
    Sibon, I.
    Renou, P.
    AMERICAN JOURNAL OF NEURORADIOLOGY, 2021, 42 (01) : 49 - 56
  • [40] An acute stroke CT imaging algorithm incorporating automated perfusion analysis
    Danielle Byrne
    John P. Walsh
    Peter J. MacMahon
    Emergency Radiology, 2019, 26 : 319 - 329