Your browser doesn't support javascript.
loading
Computed tomography hypoperfusion-hypodensity mismatch vs. automated perfusion mismatch to identify stroke patients eligible for thrombolysis.
Sporns, Peter B; Kemmling, André; Meyer, Lennart; Krogias, Christos; Puetz, Volker; Thierfelder, Kolja M; Duering, Marco; Lukas, Carsten; Kaiser, Daniel; Langner, Sönke; Brehm, Alex; Rotkopf, Lukas T; Kunz, Wolfgang G; Beuker, Carolin; Heindel, Walter; Fiehler, Jens; Schramm, Peter; Wiendl, Heinz; Minnerup, Heike; Psychogios, Marios Nikos; Minnerup, Jens.
Afiliação
  • Sporns PB; Department of Neuroradiology, Clinic of Radiology and Nuclear Medicine, University Hospital Basel, Basel, Switzerland.
  • Kemmling A; Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Meyer L; Department of Radiology, Westfaelische Wilhelms-University of Münster and University Hospital of Münster, Münster, Germany.
  • Krogias C; Department of Radiology, Westfaelische Wilhelms-University of Münster and University Hospital of Münster, Münster, Germany.
  • Puetz V; Department of Neuroradiology, Westpfalz-Klinikum, Kaiserslautern, Germany.
  • Thierfelder KM; Department of Neuroradiology, University Medical Center Schleswig-Holstein, Lübeck, Germany.
  • Duering M; Department of Neurology with Institute of Translational Neurology, University of Münster, Münster, Germany.
  • Lukas C; Department of Neurology, St. Josef-Hospital, Ruhr University Bochum, Bochum, Germany.
  • Kaiser D; Department of Neurology, University Hospital Carl Gustav Carus, Dresden, Germany.
  • Langner S; Department of Radiology and Institute of Diagnostic and Interventional Radiology, University Medical Center Rostock, Rostock, Germany.
  • Brehm A; Medical Image Analysis Center (MIAC) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland.
  • Rotkopf LT; Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany.
  • Kunz WG; Department of Neuroradiology, St. Josef-Hospital, Ruhr University Bochum, Bochum, Germany.
  • Beuker C; Department of Neuroradiology, University Hospital Carl Gustav Carus, Dresden, Germany.
  • Heindel W; Department of Radiology and Institute of Diagnostic and Interventional Radiology, University Medical Center Rostock, Rostock, Germany.
  • Fiehler J; Department of Neuroradiology, Clinic of Radiology and Nuclear Medicine, University Hospital Basel, Basel, Switzerland.
  • Schramm P; Department of Radiology, German Cancer Research Center, Heidelberg, Germany.
  • Wiendl H; Department of Radiology, University Hospital, LMU Munich, Germany.
  • Minnerup H; Department of Neurology with Institute of Translational Neurology, University of Münster, Münster, Germany.
  • Psychogios MN; Department of Radiology, Westfaelische Wilhelms-University of Münster and University Hospital of Münster, Münster, Germany.
  • Minnerup J; Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Front Neurol ; 14: 1320620, 2023.
Article em En | MEDLINE | ID: mdl-38225983
ABSTRACT
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).
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Neurol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Suíça

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Neurol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Suíça