BALA, Fouzi, Wu QIU, Kairan ZHU, Manon KAPPELHOF, Petra CIMFLOVÁ, Beom Joon KIM, Rosalie MCDONOUGH, Nishita SINGH, Nima KASHANI, Jianhai ZHANG, Mohamed NAJM, Johanna M OSPEL, Ankur WADHWA, Raul G NOGUEIRA, Ryan A MCTAGGART, Andrew M DEMCHUK, Alexandre Y POPPE, Charlotte ZERNA, Manish JOSHI, Mohammed A ALMEKHLAFI, Mayank GOYAL, Michael D HILL a Bijoy K MENON. Ability of Radiomics Versus Humans in Predicting First-Pass Effect After Endovascular Treatment in the ESCAPE-NA1 Trial. Stroke: Vascular and Interventional Neurology. Hoboken: Wiley, 2023, roč. 3, č. 3, s. 1-10. ISSN 2694-5746. Dostupné z: https://dx.doi.org/10.1161/SVIN.122.000525. |
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@article{2381017, author = {Bala, Fouzi and Qiu, Wu and Zhu, Kairan and Kappelhof, Manon and Cimflová, Petra and Kim, Beom Joon and McDonough, Rosalie and Singh, Nishita and Kashani, Nima and Zhang, Jianhai and Najm, Mohamed and Ospel, Johanna M and Wadhwa, Ankur and Nogueira, Raul G and McTaggart, Ryan A and Demchuk, Andrew M and Poppe, Alexandre Y and Zerna, Charlotte and Joshi, Manish and Almekhlafi, Mohammed A and Goyal, Mayank and Hill, Michael D and Menon, Bijoy K}, article_location = {Hoboken}, article_number = {3}, doi = {http://dx.doi.org/10.1161/SVIN.122.000525}, keywords = {deep learning; endovascular therapy; ischemia; machine learning; stroke; thrombus}, language = {eng}, issn = {2694-5746}, journal = {Stroke: Vascular and Interventional Neurology}, title = {Ability of Radiomics Versus Humans in Predicting First-Pass Effect After Endovascular Treatment in the ESCAPE-NA1 Trial}, url = {https://www.ahajournals.org/doi/10.1161/SVIN.122.000525}, volume = {3}, year = {2023} }
TY - JOUR ID - 2381017 AU - Bala, Fouzi - Qiu, Wu - Zhu, Kairan - Kappelhof, Manon - Cimflová, Petra - Kim, Beom Joon - McDonough, Rosalie - Singh, Nishita - Kashani, Nima - Zhang, Jianhai - Najm, Mohamed - Ospel, Johanna M - Wadhwa, Ankur - Nogueira, Raul G - McTaggart, Ryan A - Demchuk, Andrew M - Poppe, Alexandre Y - Zerna, Charlotte - Joshi, Manish - Almekhlafi, Mohammed A - Goyal, Mayank - Hill, Michael D - Menon, Bijoy K PY - 2023 TI - Ability of Radiomics Versus Humans in Predicting First-Pass Effect After Endovascular Treatment in the ESCAPE-NA1 Trial JF - Stroke: Vascular and Interventional Neurology VL - 3 IS - 3 SP - 1-10 EP - 1-10 PB - Wiley SN - 26945746 KW - deep learning KW - endovascular therapy KW - ischemia KW - machine learning KW - stroke KW - thrombus UR - https://www.ahajournals.org/doi/10.1161/SVIN.122.000525 N2 - BACKGROUND: First-pass effect (FPE), that is, achieving reperfusion with a single thrombectomy device pass, is associated with better clinical outcomes in patients with acute stroke. FPE is therefore increasingly used as a marker of device and procedural efficacy. We aimed to evaluate the ability of thrombus-based radiomics models to predict FPE in patients undergoing endovascular thrombectomy and compare performance with experts and nonradiomics thrombus characteristics. ER -
BALA, Fouzi, Wu QIU, Kairan ZHU, Manon KAPPELHOF, Petra CIMFLOVÁ, Beom Joon KIM, Rosalie MCDONOUGH, Nishita SINGH, Nima KASHANI, Jianhai ZHANG, Mohamed NAJM, Johanna M OSPEL, Ankur WADHWA, Raul G NOGUEIRA, Ryan A MCTAGGART, Andrew M DEMCHUK, Alexandre Y POPPE, Charlotte ZERNA, Manish JOSHI, Mohammed A ALMEKHLAFI, Mayank GOYAL, Michael D HILL a Bijoy K MENON. Ability of Radiomics Versus Humans in Predicting First-Pass Effect After Endovascular Treatment in the ESCAPE-NA1 Trial. \textit{Stroke: Vascular and Interventional Neurology}. Hoboken: Wiley, 2023, roč.~3, č.~3, s.~1-10. ISSN~2694-5746. Dostupné z: https://dx.doi.org/10.1161/SVIN.122.000525.
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