Enhancing performance of a computed tomography perfusion software for improved prediction of final infarct volume in acute ischemic stroke patients

被引:9
|
作者
Rava, Ryan A. [1 ,2 ]
Snyder, Kenneth, V [2 ,3 ]
Mokin, Maxim [4 ]
Waqas, Muhammad [2 ,3 ]
Podgorsak, Alexander R. [1 ,2 ,5 ]
Allman, Ariana B. [1 ,2 ]
Senko, Jillian [1 ,2 ]
Bhurwani, Mohammad Mahdi Shiraz [1 ,2 ]
Hoi, Yiemeng [6 ]
Davies, Jason M. [2 ,3 ,7 ]
Levy, Elad, I [2 ,3 ]
Siddiqui, Adnan H. [2 ,3 ]
Ionita, Ciprian N. [1 ,2 ,3 ,5 ]
机构
[1] SUNY Buffalo, Dept Biomed Engn, 875 Ellicott St, Buffalo, NY 14203 USA
[2] Canon Stroke & Vasc Res Ctr, Buffalo, NY USA
[3] SUNY Buffalo, Dept Neurosurg, Buffalo, NY USA
[4] Univ S Florida, Dept Neurosurg, Tampa, FL 33620 USA
[5] SUNY Buffalo, Dept Med Phys, Buffalo, NY USA
[6] Canon Med Syst USA Inc, Tustin, CA USA
[7] SUNY Buffalo, Dept Bioinformat, Buffalo, NY USA
来源
NEURORADIOLOGY JOURNAL | 2021年 / 34卷 / 03期
关键词
Brain; CT perfusion; ischemic stroke;
D O I
10.1177/1971400920988668
中图分类号
R445 [影像诊断学];
学科分类号
100207 ;
摘要
Computed tomography perfusion (CTP) is crucial for acute ischemic stroke (AIS) patient diagnosis. To improve infarct prediction, enhanced image processing and automated parameter selection have been implemented in Vital Images' new CTP + software. We compared CTP + with its previous version, commercially available software (RAPID and Sphere), and follow-up diffusion-weighted imaging (DWI). Data from 191 AIS patients between March 2019 and January 2020 was retrospectively collected and allocated into endovascular intervention (n = 81) and conservative treatment (n=110) cohorts. Intervention patients were treated for large vessel occlusion, underwent mechanical thrombectomy, and achieved successful reperfusion of thrombolysis in cerebral infarction 2b/2c/3. Conservative treatment patients suffered large or small vessel occlusion and did not receive intravenous thrombolysis or mechanical thrombectomy. Infarct and penumbra were assessed using intervention and conservative treatment patients, respectively. Infarct and penumbra volumes were segmented from CTP+ and compared with 24-h DWI along with RAPID, Sphere, and Vitrea. Mean infarct differences (95% confidence intervals) and Spearman correlation coefficients (SCCs) between DWI and each CTP software product for intervention patients are: CTP+ = (5.8 +/- 5.9 ml, 0.62), RAPID = (10.0 +/- 5.2 ml, 0.73), Sphere = (3.0 +/- 6.0 ml, 0.56), Vitrea = (7.2 +/- 4.9 ml, 0.66). For conservative treatment patients, mean infarct differences and SCCs are: CTP+ (-8.0 +/- 5.4 ml, 0.64), RAPID = (-25.6 +/- 11.5 ml, 0.60), Sphere = (-25.6 +/- 8.0 ml, 0.66), Vitrea = (1.3 +/- 4.0 ml, 0.72). CTP+ performed similarly to RAPID and Sphere in addition to its semi-automated predecessor, Vitrea, when assessing intervention patient infarct volumes. For conservative treatment patients, CTP+ outperformed RAPID and Sphere in assessing penumbra. Semi-automated Vitrea remains the most accurate in assessing penumbra, but CTP+ provides an improved workflow from its predecessor.
引用
收藏
页码:222 / 237
页数:16
相关论文
共 50 条
  • [21] Computed tomography perfusion and computed tomography angiography for prediction of clinical outcomes in ischemic stroke patients after thrombolysis
    Jia-wei Pan
    Xiang-rong Yu
    Shu-yi Zhou
    Jian-hong Wang
    Jun Zhang
    Dao-ying Geng
    Tian-yu Zhang
    Xin Cheng
    Yi-feng Ling
    Qiang Dong
    NeuralRegenerationResearch, 2017, 12 (01) : 103 - 108
  • [22] Visual evaluation of perfusion computed tomography in acute stroke accurately estimates infarct volume and tissue viability
    Muir, KW
    Halbert, HM
    Baird, TA
    McCormick, M
    Teasdale, E
    JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY, 2006, 77 (03): : 334 - 339
  • [23] Diffusion and perfusion MRI in predicting final infarct volume: A study of 81 patients with acute stroke
    Schaefer, PW
    He, J
    Hunter, G
    Hamberg, L
    Gonzalez, RG
    STROKE, 2001, 32 (01) : 343 - 343
  • [24] THE HALIFAX ACUTE STROKE IMAGING STUDY (HASIS): DOES CT PERFUSION SCANNING IN ACUTE ISCHEMIC STROKE PREDICT FINAL INFARCT VOLUME?
    Langlands, Gavin
    Shankar, Jai
    Simpkin, Wendy
    Christian, Christine
    Phillips, Stephen
    JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY, 2013, 84 (11):
  • [25] Subacute Infarct Volume With Edema Correction in Computed Tomography Is Equivalent to Final Infarct Volume After Ischemic Stroke Improving the Comparability of Infarct Imaging Endpoints in Clinical Trials
    Broocks, Gabriel
    Faizy, Tobias Djamsched
    Flottmann, Fabian
    Schoen, Gerhard
    Langner, Soenke
    Fiehler, Jens
    Kemmling, Andre
    Gellissen, Susanne
    INVESTIGATIVE RADIOLOGY, 2018, 53 (08) : 472 - 476
  • [26] Clinical Relevance of Computed Tomography Perfusion-Estimated Infarct Volume in Acute Ischemic Stroke Patients within the 6-h Therapeutic Time Window
    Kim, Bo Kyu
    Kim, Byungjun
    You, Sung-Hye
    CEREBROVASCULAR DISEASES, 2022, 51 (04) : 438 - 446
  • [27] ASPECTS and eASPECTS Correlation With Baseline and Final Infarct Volume in Acute Ischemic Stroke Thrombectomy Patients
    Olive-Gadea, Marta
    Martins, Nuno
    Boned, Sandra
    Carvajal, Jaime
    Rios, Miguel A.
    Muchada, Marian
    Molina, Carlos A.
    Tomasello, Alejandro
    Ribo, Marc
    Rubiera, Marta
    STROKE, 2018, 49
  • [28] Perfusion computed tomography in prediction of functional outcome in patients with acute ischaemic stroke
    Arkuszewski, Michal
    Swiat, Maciej
    Opala, Grzegorz
    NUCLEAR MEDICINE REVIEW, 2009, 12 (02) : 89 - 94
  • [29] Comparison of Three Algorithms for Predicting Infarct Volume in Patients with Acute Ischemic Stroke by CT Perfusion Software: Bayesian, CSVD, and OSVD
    Yao, Yunzhuo
    Gu, Sirun
    Liu, Jiayang
    Li, Jing
    Wu, Jiajing
    Luo, Tianyou
    Li, Yongmei
    Ge, Bing
    Wang, Jingjie
    DIAGNOSTICS, 2023, 13 (10)
  • [30] Impact of Intracranial Volume and Brain Volume on the Prognostic Value of Computed Tomography Perfusion Core Volume in Acute Ischemic Stroke
    Hoving, Jan W.
    Konduri, Praneeta R.
    Tolhuisen, Manon L.
    Koopman, Miou S.
    van Voorst, Henk
    Van Poppel, Laura M.
    Daems, Jasper D.
    van Es, Adriaan C. G. M.
    van Walderveen, Marianne A. A.
    Lingsma, Hester F.
    Dippel, Diederik W. J.
    Van Zwam, Wim H.
    Marquering, Henk A.
    Majoie, Charles B. L. M.
    Emmer, Bart J.
    JOURNAL OF CARDIOVASCULAR DEVELOPMENT AND DISEASE, 2024, 11 (03)