All Relations between Ischemic Stroke and ct

Publication Sentence Publish Date Extraction Date Species
Valerio Da Ros, Andrea Duggento, Armando Ugo Cavallo, Luigi Bellini, Francesca Pitocchi, Nicola Toschi, Alfredo Paolo Mascolo, Fabrizio Sallustio, Francesca Di Giuliano, Marina Diomedi, Roberto Floris, Francesco Garaci, Kamil Zeleňák, Ilaria Maestrin. Can machine learning of post-procedural cone-beam CT images in acute ischemic stroke improve the detection of 24-h hemorrhagic transformation? A preliminary study. Neuroradiology. 2022-10-24. PMID:36280607. can machine learning of post-procedural cone-beam ct images in acute ischemic stroke improve the detection of 24-h hemorrhagic transformation? 2022-10-24 2023-08-14 Not clear
Rebeka Viltužnik, Franci Bajd, Zoran Miloševič, Igor Kocijančič, Miran Jeromel, Andrej Fabjan, Eduard Kralj, Jernej Vidmar, Igor Serš. An Intermodal Correlation Study among Imaging, Histology, Procedural and Clinical Parameters in Cerebral Thrombi Retrieved from Anterior Circulation Ischemic Stroke Patients. Journal of clinical medicine. vol 11. issue 19. 2022-10-14. PMID:36233842. cerebral thrombi of 25 patients diagnosed by ct with acute ischemic stroke were acquired by mechanical thrombectomy and, subsequently, scanned by a high spatial-resolution 3d mri including 2022-10-14 2023-08-14 Not clear
Gang Xie, Ting Li, Yitao Ren, Danni Wang, Wuli Tang, Junlin Li, Kang L. Radiomics-based infarct features on CT predict hemorrhagic transformation in patients with acute ischemic stroke. Frontiers in neuroscience. vol 16. 2022-10-10. PMID:36213752. radiomics-based infarct features on ct predict hemorrhagic transformation in patients with acute ischemic stroke. 2022-10-10 2023-08-14 Not clear
Gang Xie, Ting Li, Yitao Ren, Danni Wang, Wuli Tang, Junlin Li, Kang L. Radiomics-based infarct features on CT predict hemorrhagic transformation in patients with acute ischemic stroke. Frontiers in neuroscience. vol 16. 2022-10-10. PMID:36213752. to develop and validate a model based on the radiomics features of the infarct areas on non-contrast-enhanced ct to predict hemorrhagic transformation (ht) in acute ischemic stroke. 2022-10-10 2023-08-14 Not clear
Amish Kumar, Palash Ghosal, Soumya Snigdha Kundu, Amritendu Mukherjee, Debashis Nand. A lightweight asymmetric U-Net framework for acute ischemic stroke lesion segmentation in CT and CTP images. Computer methods and programs in biomedicine. vol 226. 2022-10-08. PMID:36208537. a lightweight asymmetric u-net framework for acute ischemic stroke lesion segmentation in ct and ctp images. 2022-10-08 2023-08-14 Not clear
Amish Kumar, Palash Ghosal, Soumya Snigdha Kundu, Amritendu Mukherjee, Debashis Nand. A lightweight asymmetric U-Net framework for acute ischemic stroke lesion segmentation in CT and CTP images. Computer methods and programs in biomedicine. vol 226. 2022-10-08. PMID:36208537. this paper has introduced a patch-based, residual, asymmetric, encoder-decoder cnn that solves two major problems in acute ischemic stroke lesion segmentation from ct and ct perfusion data using deep neural networks. 2022-10-08 2023-08-14 Not clear
A Brehm, K A T Nguyen, K A Blackham, M-N Psychogio. Effective Dose Measurements of the Latest-Generation Angiographic System in Patients with Acute Stroke: A Comparison with the Newest Multidetector CT Generation. AJNR. American journal of neuroradiology. 2022-10-06. PMID:36202555. patients with acute ischemic stroke are increasingly triaged with one-stop management approaches, resulting in baseline imaging with a flat detector ct scanner. 2022-10-06 2023-08-14 Not clear
Shuting Han, Renjun Huang, Feirong Yao, Ziwei Lu, Jingfen Zhu, Hui Wang, Yonggang L. Pre-treatment spectral CT combined with CT perfusion can predict hemorrhagic transformation after thrombolysis in patients with acute ischemic stroke. European journal of radiology. vol 156. 2022-09-30. PMID:36179464. pre-treatment spectral ct combined with ct perfusion can predict hemorrhagic transformation after thrombolysis in patients with acute ischemic stroke. 2022-09-30 2023-08-14 Not clear
Shuting Han, Renjun Huang, Feirong Yao, Ziwei Lu, Jingfen Zhu, Hui Wang, Yonggang L. Pre-treatment spectral CT combined with CT perfusion can predict hemorrhagic transformation after thrombolysis in patients with acute ischemic stroke. European journal of radiology. vol 156. 2022-09-30. PMID:36179464. to investigate the value of pre-treatment spectral ct angiography (cta) in predicting hemorrhagic transformation (ht) after intravenous thrombolysis (ivt) treatment in acute ischemic stroke (ais) patients. 2022-09-30 2023-08-14 Not clear
Gianluca Brugnara, Peter Mihalicz, Christian Herweh, Silvia Schönenberger, Jan Purrucker, Simon Nagel, Peter Arthur Ringleb, Martin Bendszus, Markus A Möhlenbruch, Ulf Neuberge. Clinical value of automated volumetric quantification of early ischemic tissue changes on non-contrast CT. Journal of neurointerventional surgery. 2022-09-29. PMID:36175015. clinical value of automated volumetric quantification of early ischemic tissue changes on non-contrast ct. quantitative and automated volumetric evaluation of early ischemic changes on non-contrast ct (ncct) has recently been proposed as a new tool to improve prognostic performance in patients undergoing endovascular therapy (evt) for acute ischemic stroke (ais). 2022-09-29 2023-08-14 Not clear
Zhifang Wan, Zhihua Meng, Shuangcong Xie, Jin Fang, Li Li, Zhensong Chen, Jinwu Liu, Guihua Jian. Correlation between Hypoperfusion Intensity Ratio and Functional Outcome in Large-Vessel Occlusion Acute Ischemic Stroke: Comparison with Multi-Phase CT Angiography. Journal of clinical medicine. vol 11. issue 18. 2022-09-23. PMID:36142924. correlation between hypoperfusion intensity ratio and functional outcome in large-vessel occlusion acute ischemic stroke: comparison with multi-phase ct angiography. 2022-09-23 2023-08-14 Not clear
Narmeen Giacaman, Salem M Tos, Mohammad G Ibdah, Mohamad K M Ismail, Nael Hussein Ellahha. A child diagnosed with midaortic syndrome and inherited thrombophilia after presenting with a stroke: A case report. Annals of medicine and surgery (2012). vol 81. 2022-09-23. PMID:36147148. computed tomography (ct) scan was done and she was diagnosed with ischemic stroke. 2022-09-23 2023-08-14 Not clear
Kimberly Amador, Matthias Wilms, Anthony Winder, Jens Fiehler, Nils D Forker. Predicting treatment-specific lesion outcomes in acute ischemic stroke from 4D CT perfusion imaging using spatio-temporal convolutional neural networks. Medical image analysis. vol 82. 2022-09-14. PMID:36103772. predicting treatment-specific lesion outcomes in acute ischemic stroke from 4d ct perfusion imaging using spatio-temporal convolutional neural networks. 2022-09-14 2023-08-14 Not clear
Kimberly Amador, Matthias Wilms, Anthony Winder, Jens Fiehler, Nils D Forker. Predicting treatment-specific lesion outcomes in acute ischemic stroke from 4D CT perfusion imaging using spatio-temporal convolutional neural networks. Medical image analysis. vol 82. 2022-09-14. PMID:36103772. current deep learning-based prediction methods mainly use perfusion parameter maps, which can be calculated from spatio-temporal (4d) ct perfusion (ctp) imaging data, to estimate the tissue outcome of an acute ischemic stroke. 2022-09-14 2023-08-14 Not clear
Qingqing Lu, Junyan Fu, Kun Lv, Yan Han, Yuning Pan, Yiren Xu, Jun Zhang, Daoying Gen. Agreement of three CT perfusion software packages in patients with acute ischemic stroke: A comparison with RAPID. European journal of radiology. vol 156. 2022-09-13. PMID:36099834. agreement of three ct perfusion software packages in patients with acute ischemic stroke: a comparison with rapid. 2022-09-13 2023-08-14 Not clear
Eryan Feng, Pinle Qin, Rui Chai, Jianchao Zeng, Qi Wang, Yanfeng Meng, Peng Wan. MRI Generated from CT for Acute Ischemic Stroke Combining Radiomics and Generative Adversarial Networks. IEEE journal of biomedical and health informatics. vol PP. 2022-09-12. PMID:36094997. mri generated from ct for acute ischemic stroke combining radiomics and generative adversarial networks. 2022-09-12 2023-08-14 Not clear
Eryan Feng, Pinle Qin, Rui Chai, Jianchao Zeng, Qi Wang, Yanfeng Meng, Peng Wan. MRI Generated from CT for Acute Ischemic Stroke Combining Radiomics and Generative Adversarial Networks. IEEE journal of biomedical and health informatics. vol PP. 2022-09-12. PMID:36094997. compared to computed tomography (ct), magnetic resonance imaging (mri) is more sensitive to acute ischemic stroke lesion. 2022-09-12 2023-08-14 Not clear
Eryan Feng, Pinle Qin, Rui Chai, Jianchao Zeng, Qi Wang, Yanfeng Meng, Peng Wan. MRI Generated from CT for Acute Ischemic Stroke Combining Radiomics and Generative Adversarial Networks. IEEE journal of biomedical and health informatics. vol PP. 2022-09-12. PMID:36094997. in this study, we propose a cross-modal image generation algorithm from ct to mri for acute ischemic stroke by combining radiomics with generative adversarial networks. 2022-09-12 2023-08-14 Not clear
Gustavo Garzon, Santiago Gomez, Daniel Mantilla, Fabio Martine. A deep CT to MRI unpaired translation that preserve ischemic stroke lesions. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2022. 2022-09-10. PMID:36086325. a deep ct to mri unpaired translation that preserve ischemic stroke lesions. 2022-09-10 2023-08-14 Not clear
Gustavo Garzon, Santiago Gomez, Daniel Mantilla, Fabio Martine. A deep CT to MRI unpaired translation that preserve ischemic stroke lesions. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2022. 2022-09-10. PMID:36086325. ischemic stroke diagnosis typically involves neuroimaging studies (mri and ct scans) and clinical protocols to characterize lesions and support decisions about treatment to be administered to the patient. 2022-09-10 2023-08-14 Not clear