158 related articles for article (PubMed ID: 18509723)
21. Tirofiban combined with rt-PA intraarterial thrombolysis improves the recanalization rate of acute middle cerebral artery occlusion in rabbits.
Yu YJ; Xiong W
Eur Rev Med Pharmacol Sci; 2018 May; 22(9):2888-2895. PubMed ID: 29771445
[TBL] [Abstract][Full Text] [Related]
22. Estimation of Ischemic Core Volume Using Computed Tomographic Perfusion.
Sakai Y; Delman BN; Fifi JT; Tuhrim S; Wheelwright D; Doshi AH; Mocco J; Nael K
Stroke; 2018 Oct; 49(10):2345-2352. PubMed ID: 30355089
[TBL] [Abstract][Full Text] [Related]
23. Intra-arterial thrombolysis using rt-PA in patients with acute stroke due to vessel occlusion of anterior and/or posterior cerebral circulation.
Tountopoulou A; Ahl B; Weissenborn K; Becker H; Goetz F
Neuroradiology; 2008 Jan; 50(1):75-83. PubMed ID: 17917723
[TBL] [Abstract][Full Text] [Related]
24. Acute anterior circulation stroke: recanalization using clot angioplasty.
Lum C; Stys PK; Hogan MJ; Nguyen TB; Srinivasan A; Goyal M
Can J Neurol Sci; 2006 May; 33(2):217-22. PubMed ID: 16736734
[TBL] [Abstract][Full Text] [Related]
25. Cerebral Blood Volume ASPECTS Is the Best Predictor of Clinical Outcome in Acute Ischemic Stroke: A Retrospective, Combined Semi-Quantitative and Quantitative Assessment.
Padroni M; Bernardoni A; Tamborino C; Roversi G; Borrelli M; Saletti A; De Vito A; Azzini C; Borgatti L; Marcello O; d'Esterre C; Ceruti S; Casetta I; Lee TY; Fainardi E
PLoS One; 2016; 11(1):e0147910. PubMed ID: 26824672
[TBL] [Abstract][Full Text] [Related]
26. Permeability Surface of Deep Middle Cerebral Artery Territory on Computed Tomographic Perfusion Predicts Hemorrhagic Transformation After Stroke.
Li Q; Gao X; Yao Z; Feng X; He H; Xue J; Gao P; Yang L; Cheng X; Chen W; Yang Y
Stroke; 2017 Sep; 48(9):2412-2418. PubMed ID: 28775139
[TBL] [Abstract][Full Text] [Related]
27. Identification of penumbra and infarct in acute ischemic stroke using computed tomography perfusion-derived blood flow and blood volume measurements.
Murphy BD; Fox AJ; Lee DH; Sahlas DJ; Black SE; Hogan MJ; Coutts SB; Demchuk AM; Goyal M; Aviv RI; Symons S; Gulka IB; Beletsky V; Pelz D; Hachinski V; Chan R; Lee TY
Stroke; 2006 Jul; 37(7):1771-7. PubMed ID: 16763182
[TBL] [Abstract][Full Text] [Related]
28. Usefulness of magnetic resonance-derived quantitative measurements of cerebral blood flow and volume in prediction of infarct growth in hyperacute stroke.
Grandin CB; Duprez TP; Smith AM; Mataigne F; Peeters A; Oppenheim C; Cosnard G
Stroke; 2001 May; 32(5):1147-53. PubMed ID: 11340224
[TBL] [Abstract][Full Text] [Related]
29. The safety and efficacy of continuous transcranial duplex Doppler monitoring of middle cerebral artery occlusion in acute stroke patients: comparison of TCDD and thrombolysis in MCA recanalization.
Sanák D; Herzig R; Skoloudík D; Horák D; Zapletalová J; Köcher M; Kanovský P
J Neuroimaging; 2010 Jan; 20(1):58-63. PubMed ID: 19226343
[TBL] [Abstract][Full Text] [Related]
30. Malignant middle cerebral artery infarction in hyperacute ischemic stroke: evaluation with multiphasic perfusion computed tomography maps.
Ryoo JW; Na DG; Kim SS; Lee KH; Lee SJ; Chung CS; Choi DS
J Comput Assist Tomogr; 2004; 28(1):55-62. PubMed ID: 14716233
[TBL] [Abstract][Full Text] [Related]
31. [Perfusion computed tomography makes it possible to overcome important SITS-MOST exclusion criteria for the endovenous thrombolysis of cerebral infarction].
Cortijo E; Calleja AI; Garcia-Bermejo P; Perez-Fernandez S; Del Monte JM; Tellez N; Campos-Blanco DM; Garcia-Porrero MA; Fernandez-Herranz MR; Arenillas-Lara JF
Rev Neurol; 2012 Mar; 54(5):271-6. PubMed ID: 22362475
[TBL] [Abstract][Full Text] [Related]
32. [Application of diffusion-weighted and perfusion magnetic resonance imaging in definition of the ischemic penumbra in hyperacute cerebral infarction].
Feng XY; Liang J; Yin XD; Han X; Dong Q; Lü CZ
Zhonghua Yi Xue Za Zhi; 2003 Jun; 83(11):952-7. PubMed ID: 12899795
[TBL] [Abstract][Full Text] [Related]
33. Clinical diffusion mismatch better discriminates infarct growth than mean transit time-diffusion weighted imaging mismatch in patients with middle cerebral artery-M1 occlusion and limited infarct core.
Nogueira RG; Kemmling A; Souza LM; Payabvash S; Hirsch JA; Yoo AJ; Lev MH
J Neurointerv Surg; 2017 Feb; 9(2):127-130. PubMed ID: 26957483
[TBL] [Abstract][Full Text] [Related]
34. Length of occlusion predicts recanalization and outcome after intravenous thrombolysis in middle cerebral artery stroke.
Rohan V; Baxa J; Tupy R; Cerna L; Sevcik P; Friesl M; Polivka J; Polivka J; Ferda J
Stroke; 2014 Jul; 45(7):2010-7. PubMed ID: 24916912
[TBL] [Abstract][Full Text] [Related]
35. Computed tomography perfusion imaging in spectacular shrinking deficit.
Lee VH; John S; Mohammad Y; Prabhakaran S
J Stroke Cerebrovasc Dis; 2012 Feb; 21(2):94-101. PubMed ID: 20702113
[TBL] [Abstract][Full Text] [Related]
36. Preliminary study of time maximum intensity projection computed tomography imaging for the detection of early ischemic change in patient with acute ischemic stroke.
Murayama K; Suzuki S; Matsukiyo R; Takenaka A; Hayakawa M; Tsutsumi T; Fujii K; Katada K; Toyama H
Medicine (Baltimore); 2018 Mar; 97(9):e9906. PubMed ID: 29489691
[TBL] [Abstract][Full Text] [Related]
37. DIAS I: duplex-sonographic assessment of the cerebrovascular status in acute stroke. A useful tool for future stroke trials.
Gerriets T; Postert T; Goertler M; Stolz E; Schlachetzki F; Sliwka U; Seidel G; Weber S; Kaps M
Stroke; 2000 Oct; 31(10):2342-5. PubMed ID: 11022061
[TBL] [Abstract][Full Text] [Related]
38. Accuracy of advanced CT imaging in prediction of functional outcome after endovascular treatment in patients with large-vessel occlusion.
Di Giuliano F; Picchi E; Sallustio F; Ferrazzoli V; Alemseged F; Greco L; Minosse S; Da Ros V; Diomedi M; Garaci F; Marziali S; Floris R
Neuroradiol J; 2019 Feb; 32(1):62-70. PubMed ID: 30303448
[TBL] [Abstract][Full Text] [Related]
39. Differences in CT perfusion maps generated by different commercial software: quantitative analysis by using identical source data of acute stroke patients.
Kudo K; Sasaki M; Yamada K; Momoshima S; Utsunomiya H; Shirato H; Ogasawara K
Radiology; 2010 Jan; 254(1):200-9. PubMed ID: 20032153
[TBL] [Abstract][Full Text] [Related]
40. The effect of varying user-selected input parameters on quantitative values in CT perfusion maps.
Sanelli PC; Lev MH; Eastwood JD; Gonzalez RG; Lee TY
Acad Radiol; 2004 Oct; 11(10):1085-92. PubMed ID: 15530801
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
