Real-world evaluation of Brainomix e-Stroke software
Background and purpose Brainomix e-Stroke is an artificial intelligence-based decision support tool that aids the interpretation of CT imaging in the context of acute stroke. While e-Stroke has the potential to improve the speed and accuracy of diagnosis, real-world validation is essential. The aim...
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| Format: | Article |
| Language: | English |
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BMJ Publishing Group
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| Series: | Stroke and Vascular Neurology |
| Online Access: | https://svn.bmj.com/content/early/2023/12/22/svn-2023-002859.full |
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| author | Tarek Yousry Robert Simister Cillian McNamara Matthew Fallon Jack Garnham Peter Cowley Dermot Mallon Chak Lam Ip Eirini Blana Arathi Menon David Doig |
| author_facet | Tarek Yousry Robert Simister Cillian McNamara Matthew Fallon Jack Garnham Peter Cowley Dermot Mallon Chak Lam Ip Eirini Blana Arathi Menon David Doig |
| author_sort | Tarek Yousry |
| collection | DOAJ |
| description | Background and purpose Brainomix e-Stroke is an artificial intelligence-based decision support tool that aids the interpretation of CT imaging in the context of acute stroke. While e-Stroke has the potential to improve the speed and accuracy of diagnosis, real-world validation is essential. The aim of this study was to prospectively evaluate the performance of Brainomix e-Stroke in an unselected cohort of patients with suspected acute ischaemic stroke.Methods The study cohort included all patients admitted to the University College London Hospital Hyperacute Stroke Unit between October 2021 and April 2022. For e-ASPECTS and e-CTA, the ground truth was determined by a neuroradiologist with access to all clinical and imaging data. For e-CTP, the values of the core infarct and ischaemic penumbra were compared with those derived from syngo.via, an alternate software used at our institution.Results 1163 studies were performed in 551 patients admitted during the study period. Of these, 1130 (97.2%) were successfully processed by e-Stroke in an average of 4 min. For identifying acute middle cerebral artery territory ischaemia, e-ASPECTS had an accuracy of 77.0% and was more specific (83.5%) than sensitive (58.6%). The accuracy for identifying hyperdense thrombus was lower (69.1%), which was mainly due to many false positives (positive predictive value of 22.9%). Identification of acute haemorrhage was highly accurate (97.8%) with a sensitivity of 100% and a specificity of 97.6%; false positives were typically caused by areas of calcification. The accuracy of e-CTA for large vessel occlusions was 91.5%. The core infarct and ischaemic penumbra volumes provided by e-CTP strongly correlated with those provided by syngo.via (ρ=0.804—0.979).Conclusion Brainomix e-Stroke software provides rapid and reliable analysis of CT imaging in the acute stroke setting although, in line with the manufacturer’s guidance, it should be used as an adjunct to expert interpretation rather than a standalone decision-making tool. |
| format | Article |
| id | doaj-art-cae6c6bd1f8c442b9dafaf7189ff19a7 |
| institution | Kabale University |
| issn | 2059-8696 |
| language | English |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | Stroke and Vascular Neurology |
| spelling | doaj-art-cae6c6bd1f8c442b9dafaf7189ff19a72024-11-10T12:20:08ZengBMJ Publishing GroupStroke and Vascular Neurology2059-869610.1136/svn-2023-002859Real-world evaluation of Brainomix e-Stroke softwareTarek Yousry0Robert Simister1Cillian McNamara2Matthew Fallon3Jack Garnham4Peter Cowley5Dermot Mallon6Chak Lam Ip7Eirini Blana8Arathi Menon9David Doig107 Lysholm Department of Neuroradiology, University College London Hospitals NHS Foundation Trust National Hospital for Neurology and Neurosurgery, London, UK2 UCL Queen Square Institute of Neurology, London, UKDepartment of Neuroradiology, Imperial College Healthcare NHS Trust, London, UKNeuroradiology, St George`s University Hospitals NHS Foundation Trust, London, UK1 Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UKNational Hospital for Neurology and Neurosurgery, London, UKDepartment of Neuroradiology, Imperial College Healthcare NHS Trust, London, UKNHS Lothian, Edinburgh, UKLysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UKLysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UKLysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UKBackground and purpose Brainomix e-Stroke is an artificial intelligence-based decision support tool that aids the interpretation of CT imaging in the context of acute stroke. While e-Stroke has the potential to improve the speed and accuracy of diagnosis, real-world validation is essential. The aim of this study was to prospectively evaluate the performance of Brainomix e-Stroke in an unselected cohort of patients with suspected acute ischaemic stroke.Methods The study cohort included all patients admitted to the University College London Hospital Hyperacute Stroke Unit between October 2021 and April 2022. For e-ASPECTS and e-CTA, the ground truth was determined by a neuroradiologist with access to all clinical and imaging data. For e-CTP, the values of the core infarct and ischaemic penumbra were compared with those derived from syngo.via, an alternate software used at our institution.Results 1163 studies were performed in 551 patients admitted during the study period. Of these, 1130 (97.2%) were successfully processed by e-Stroke in an average of 4 min. For identifying acute middle cerebral artery territory ischaemia, e-ASPECTS had an accuracy of 77.0% and was more specific (83.5%) than sensitive (58.6%). The accuracy for identifying hyperdense thrombus was lower (69.1%), which was mainly due to many false positives (positive predictive value of 22.9%). Identification of acute haemorrhage was highly accurate (97.8%) with a sensitivity of 100% and a specificity of 97.6%; false positives were typically caused by areas of calcification. The accuracy of e-CTA for large vessel occlusions was 91.5%. The core infarct and ischaemic penumbra volumes provided by e-CTP strongly correlated with those provided by syngo.via (ρ=0.804—0.979).Conclusion Brainomix e-Stroke software provides rapid and reliable analysis of CT imaging in the acute stroke setting although, in line with the manufacturer’s guidance, it should be used as an adjunct to expert interpretation rather than a standalone decision-making tool.https://svn.bmj.com/content/early/2023/12/22/svn-2023-002859.full |
| spellingShingle | Tarek Yousry Robert Simister Cillian McNamara Matthew Fallon Jack Garnham Peter Cowley Dermot Mallon Chak Lam Ip Eirini Blana Arathi Menon David Doig Real-world evaluation of Brainomix e-Stroke software Stroke and Vascular Neurology |
| title | Real-world evaluation of Brainomix e-Stroke software |
| title_full | Real-world evaluation of Brainomix e-Stroke software |
| title_fullStr | Real-world evaluation of Brainomix e-Stroke software |
| title_full_unstemmed | Real-world evaluation of Brainomix e-Stroke software |
| title_short | Real-world evaluation of Brainomix e-Stroke software |
| title_sort | real world evaluation of brainomix e stroke software |
| url | https://svn.bmj.com/content/early/2023/12/22/svn-2023-002859.full |
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