Abstract WP75: Comparison of Automated CT Perfusion Software for Prediction of Final Infarct Volume
| العنوان: | Abstract WP75: Comparison of Automated CT Perfusion Software for Prediction of Final Infarct Volume |
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| المؤلفون: | Adam Prater, Gabriel M Rodrigues, Catarina Perry de Camara, Alhamza R Al-Bayati, Diogo C Haussen, Michael Frankel, Leonardo Pisani, Ryan B. Peterson, Bernardo Liberato, Mahmoud H Mohammaden, Raul G Nogueira, Nicolas Bianchi, Mehdi Bouslama |
| المصدر: | Stroke. 51 |
| بيانات النشر: | Ovid Technologies (Wolters Kluwer Health), 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Advanced and Specialized Nursing, medicine.medical_specialty, medicine.diagnostic_test, business.industry, Computed tomography, Perfusion scanning, medicine.disease, Software, Infarct volume, Medicine, In patient, Neurology (clinical), Radiology, Cardiology and Cardiovascular Medicine, business, Perfusion, Stroke, Selection (genetic algorithm) |
| الوصف: | Introduction: CT Perfusion (CTP) has been increasingly used in patient selection for acute reperfusion therapies. Perfusion software allow for automated and faster processing using standardized approaches. We aim to compare the perfusion parameters and final infarct volume (FIV) predictability of two commercially available CTP packages (RAPID and Viz.ai). Methods: Retrospective analysis of a mechanical thrombectomy database of mechanical thrombectomy between 9/ 2018- 6/ 2019. Patients without a technically adequate baseline CTP were excluded. Ischemic core was defined as CBF Results: A total of 164 patients were included (mean age, 66±13.14 years; baseline NIHSS, 14.93±6.73; median time from CTP to reperfusion; median 86.5 IQR [61.25-111.75] min). The median baseline rCBF6: R=0.879, Tmax>8: R=0.866, Tmax>10: R=0.852. In addition, there was a highagreement rate for binary values for qualification for the DAWN (core≤21 cc: 88.9%; ≤31cc: 82.4%; ≤51cc: 89.1%), DEFUSE-3 (93%), and EXTEND (91) trials. A total of 148 patients were fully reperfused (mTICI2c-3). Their median FIV was 23.72 [11.0-78.2] cc. There was only a marginal correlation between rCBF Conclusion: The RAPID and Viz-AI software have a strong correlation in terms of the overall baseline parameters and reperfusion treatment eligibility. In fully reperfused patients, the prediction of FIV was only marginal with both softwares. |
| تدمد: | 1524-4628 0039-2499 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::db4e59df819bd061346a876a382fa220 https://doi.org/10.1161/str.51.suppl_1.wp75 |
| رقم الأكسشن: | edsair.doi...........db4e59df819bd061346a876a382fa220 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 15244628 00392499 |
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