학술논문

Automated assessment of ischemic core on non-contrast computed tomography: a multicenter comparative analysis with CT perfusion.
Document Type
Academic Journal
Author
Shahrouki P; Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.; Kihira S; Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.; Tavakkol E; Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.; Qiao JX; Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.; Vagal A; Department of Radiology, University of Cincinnati Medical Center, Cincinnati, Ohio, USA.; Khatri P; Department of Neurology, University of Cincinnati, Cincinnati, Ohio, USA.; Bahr-Hosseini M; Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.; Colby GP; Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.; Department of Neurosurgery, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.; Jahan R; Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.; Duckwiler G; Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.; Szeder V; Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.; Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.; Ledbetter L; Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.; Cai S; Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.; Salehi B; Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.; Doshi AH; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; Belani P; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; Fifi JT; Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; De Leacy R; Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; Mocco J; Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.; Saver JL; Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.; Liebeskind DS; Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.; Nael K; Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA kambiznael@gmail.com.
Source
Publisher: BMJ Publishing Group Country of Publication: England NLM ID: 101517079 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1759-8486 (Electronic) Linking ISSN: 17598478 NLM ISO Abbreviation: J Neurointerv Surg Subsets: MEDLINE
Subject
Language
English
Abstract
Background: Application of machine learning (ML) algorithms has shown promising results in estimating ischemic core volumes using non-contrast CT (NCCT).
Objective: To assess the performance of the e-Stroke Suite software (Brainomix) in assessing ischemic core volumes on NCCT compared with CT perfusion (CTP) in patients with acute ischemic stroke.
Methods: In this retrospective multicenter study, patients with anterior circulation large vessel occlusions who underwent pretreatment NCCT and CTP, successful reperfusion (modified Thrombolysis in Cerbral Infarction ≥2b), and post-treatment MRI, were included from three stroke centers. Automated calculation of ischemic core volumes was obtained on NCCT scans using ML algorithm deployed by e-Stroke Suite and from CTP using Olea software (Olea Medical). Comparative analysis was performed between estimated core volumes on NCCT and CTP and against MRI calculated final infarct volume (FIV).
Results: A total of 111 patients were included. Estimated ischemic core volumes (mean±SD, mL) were 20.4±19.0 on NCCT and 19.9±18.6 on CTP, not significantly different (P=0.82). There was moderate (r=0.40) and significant (P<0.001) correlation between estimated core on NCCT and CTP. The mean difference between FIV and estimated core volume on NCCT and CTP was 29.9±34.6 mL and 29.6±35.0 mL, respectively (P=0.94). Correlations between FIV and estimated core volume were similar for NCCT (r=0.30, P=0.001) and CTP (r=0.36, P<0.001).
Conclusions: Results show that ML-based estimated ischemic core volumes on NCCT are comparable to those obtained from concurrent CTP in magnitude and in degree of correlation with MR-assessed FIV.
Competing Interests: Competing interests: GPC: Stryker Neurovascular, MicroVention, Medtronic, Rapid Medical; JLS: Medtronic Cerenovus, Boehringer Ingelheim, NeuroVasc, Rapid Medical; DSL: Cerenovus, Genentech, Medtronic, Stryker, Olea; KN: Olea Medical, Brainomix; Achala Vagal: Viz AI.
(© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.)