Ensemble machine learning to predict futile recanalization after mechanical thrombectomy based on non-contrast CT imaging.

Journal: Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
PMID: 39116963

Abstract

OBJECTIVES: Despite successful recanalization after Mechanical Thrombectomy (MT), approximately 25 % of patients with Acute Ischemic Stroke (AIS) due to Large Vessel Occlusion (LVO) show unfavorable clinical outcomes, namely Futile Recanalization (FR). We aimed to use a Machine Learning (ML) Non-Contrast brain CT (NCCT) imaging predictive model to identify FR in patients undergoing MT.

Authors

  • Valerio Da Ros
    Department of Biomedicine and Prevention, University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome 00133, Italy. Electronic address: darosvalerio@gmail.com.
  • Armando Cavallo
    Department of Biomedicine and Prevention, University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome 00133, Italy.
  • Carlo Di Donna
    Department of Biomedicine and Prevention, University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome 00133, Italy.
  • Adolfo D'Onofrio
    Department of Biomedicine and Prevention, University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome 00133, Italy.
  • Mariafrancesca Trulli
    University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome, Italy.
  • Simone Di Candia
    University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome, Italy.
  • Ludovica Mancini
    University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome, Italy.
  • Luca Funari
    University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome, Italy.
  • Gianluca Cecchi
    University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome, Italy.
  • Alessandro Carini
    University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome, Italy.
  • Matteo Madonna
    University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome, Italy.
  • Federico Sabuzi
    Department of Biomedicine and Prevention, University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome 00133, Italy.
  • Francesca Di Giuliano
    Department of Biomedicine and Prevention, University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome 00133, Italy.
  • Kamil Zeleňák
    Clinic of Radiology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Kollárova 2, 036 59 Martin, Slovakia.
  • Marina Diomedi
    Stroke Center, Department of Systems Medicine, University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome, Italy.
  • Ilaria Maestrini
    Stroke Center, Department of Systems Medicine, University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome, Italy.
  • Francesco Garaci
    Department of Biomedicine and Prevention, University Hospital of Rome "Tor Vergata", Viale Oxford 81, Rome 00133, Italy.

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