Computed tomography hypoperfusion-hypodensity mismatch vs. automated perfusion mismatch to identify stroke patients eligible for thrombolysis

被引:0
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作者
Sporns, Peter B. [1 ,2 ,3 ,4 ]
Kemmling, Andre [3 ,4 ,5 ,6 ]
Meyer, Lennart [7 ]
Krogias, Christos [8 ]
Puetz, Volker [9 ]
Thierfelder, Kolja M. [10 ,11 ]
Duering, Marco [12 ,13 ,14 ]
Lukas, Carsten [15 ]
Kaiser, Daniel [16 ]
Langner, Soenke [10 ,11 ]
Brehm, Alex [1 ]
Rotkopf, Lukas T. [17 ]
Kunz, Wolfgang G. [18 ]
Beuker, Carolin [7 ]
Heindel, Walter [3 ,4 ]
Fiehler, Jens [2 ]
Schramm, Peter [6 ]
Wiendl, Heinz [7 ]
Minnerup, Heike [19 ]
Psychogios, Marios Nikos [1 ]
Minnerup, Jens [7 ]
机构
[1] Univ Hosp Basel, Dept Neuroradiol, Clin Radiol & Nucl Med, Basel, Switzerland
[2] Univ Med Ctr Hamburg Eppendorf, Dept Diagnost & Intervent Neuroradiol, Hamburg, Germany
[3] Westfael Wilhelms Univ Munster, Dept Radiol, Munster, Germany
[4] Univ Hosp Munster, Munster, Germany
[5] Westpfalz Klinikum, Dept Neuroradiol, Kaiserslautern, Germany
[6] Univ Med Ctr Schleswig Holstein, Dept Neuroradiol, Lubeck, Germany
[7] Univ Munster, Dept Neurol, Inst Translat Neurol, Munster, Germany
[8] Ruhr Univ Bochum, St Josef Hosp, Dept Neurol, Bochum, Germany
[9] Univ Hosp Carl Gustav Carus, Dept Neurol, Dresden, Germany
[10] Univ Med Ctr Rostock, Dept Radiol, Rostock, Germany
[11] Univ Med Ctr Rostock, Inst Diagnost & Intervent Radiol, Rostock, Germany
[12] Univ Basel, Med Image Anal Ctr MIAC, Basel, Switzerland
[13] Univ Basel, Dept Biomed Engn, Basel, Switzerland
[14] Univ Hosp LMU Munich, Inst Stroke & Dementia Res, Munich, Germany
[15] Ruhr Univ Bochum, St Josef Hosp, Dept Neuroradiol, Bochum, Germany
[16] Univ Hosp Carl Gustav Carus, Dept Neuroradiol, Dresden, Germany
[17] German Canc Res Ctr, Dept Radiol, Heidelberg, Germany
[18] Ludwig Maximilians Univ Munchen, Univ Hosp, Dept Radiol, Munich, Germany
[19] Univ Munster, Inst Epidemiol & Social Med, Munster, Germany
来源
FRONTIERS IN NEUROLOGY | 2023年 / 14卷
关键词
stroke; computed tomography; time window; thrombolysis; unknown onset stroke; ONSET; DIFFUSION;
D O I
10.3389/fneur.2023.1320620
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: Automated perfusion imaging can detect stroke patients with unknown time of symptom onset who are eligible for thrombolysis. However, the availability of this technique is limited. We, therefore, established the novel concept of computed tomography (CT) hypoperfusion-hypodensity mismatch, i.e., an ischemic core lesion visible on cerebral perfusion CT without visible hypodensity in the corresponding native cerebral CT. We compared both methods regarding their accuracy in identifying patients suitable for thrombolysis.Methods: In a retrospective analysis of the MissPerfeCT observational cohort study, patients were classified as suitable or not for thrombolysis based on established time window and imaging criteria. We calculated predictive values for hypoperfusion-hypodensity mismatch and automated perfusion imaging to compare accuracy in the identification of patients suitable for thrombolysis.Results: Of 247 patients, 219 (88.7%) were eligible for thrombolysis and 28 (11.3%) were not eligible for thrombolysis. Of 197 patients who were within 4.5 h of symptom onset, 190 (96.4%) were identified by hypoperfusion-hypodensity mismatch and 88 (44.7%) by automated perfusion mismatch (p < 0.001). Of 22 patients who were beyond 4.5 h of symptom onset but were eligible for thrombolysis, 5 patients (22.7%) were identified by hypoperfusion-hypodensity mismatch. Predictive values for the hypoperfusion-hypodensity mismatch vs. automated perfusion mismatch were as follows: sensitivity, 89.0% vs. 50.2%; specificity, 71.4% vs. 100.0%; positive predictive value, 96.1% vs. 100.0%; and negative predictive value, 45.5% vs. 20.4%.Conclusion: The novel method of hypoperfusion-hypodensity mismatch can identify patients suitable for thrombolysis with higher sensitivity and lower specificity than established techniques. Using this simple method might therefore increase the proportion of patients treated with thrombolysis without the use of special automated software. The MissPerfeCT study is a retrospective observational multicenter cohort study and is registered with clinicaltrials.gov (NCT04277728).
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