INTRODUCTION: We aimed to determine if volumetric mismatch between tissue at risk and tissue destined to infarct on computed tomography perfusion (CTP) can be described by the mismatch of Alberta Stroke Program Early CT Score (ASPECTS). MATERIALS AND METHODS: Forty patients with nonlacunar middle cerebral artery infarct <6 h old who had CTP on admission were retrospectively reviewed. Two raters segmented the lesion volume on mean transit time (MTT) and cerebral blood volume (CBV) maps using thresholds of >6 s and <2.0 mL per 100 g, respectively. Two other raters assigned ASPECTS to the same MTT and CBV maps while blinded to the volumetric data. Volumetric mismatch was deemed present if >or=20%. ASPECTS mismatch (=CBV ASPECTS - MTT ASPECTS) was deemed present if >or=1. Correlation between the two types of mismatches was assessed by Spearman's coefficient (rho). ROC curve analyses were performed to determine the optimal ASPECTS mismatch cut point for volumetric mismatch >or=20%, >or=50%, >or=100%, and >or=150%. RESULTS: Median volumetric mismatch was 130% (range 10.9-2,031%) with 31 (77.5%) being >or=20%. Median ASPECTS mismatch was 2 (range 0-6) with 26 (65%) being >or=1. ASPECTS mismatch correlated strongly with volumetric mismatch with rho = 0.763 [95% CI 0.585-0.870], p < 0.0001. Sensitivity and specificity for volumetric mismatch >or=20% was 83.9% [95% CI 65.5-93.5] and 100% [95% CI 65.9-100], respectively, using ASPECTS mismatch >or=1. Volumetric mismatch >or=50%, >or=100%, and >or=150% were optimally identified using ASPECTS mismatch >or=1, >or=2, and >or=2, respectively. CONCLUSION: On CTP, ASPECTS mismatch showed strong correlation to volumetric mismatch. ASPECTS mismatch >or=1 was the optimal cut point for volumetric mismatch >or=20%.
INTRODUCTION: We aimed to determine if volumetric mismatch between tissue at risk and tissue destined to infarct on computed tomography perfusion (CTP) can be described by the mismatch of Alberta Stroke Program Early CT Score (ASPECTS). MATERIALS AND METHODS: Forty patients with nonlacunar middle cerebral artery infarct <6 h old who had CTP on admission were retrospectively reviewed. Two raters segmented the lesion volume on mean transit time (MTT) and cerebral blood volume (CBV) maps using thresholds of >6 s and <2.0 mL per 100 g, respectively. Two other raters assigned ASPECTS to the same MTT and CBV maps while blinded to the volumetric data. Volumetric mismatch was deemed present if >or=20%. ASPECTS mismatch (=CBV ASPECTS - MTT ASPECTS) was deemed present if >or=1. Correlation between the two types of mismatches was assessed by Spearman's coefficient (rho). ROC curve analyses were performed to determine the optimal ASPECTS mismatch cut point for volumetric mismatch >or=20%, >or=50%, >or=100%, and >or=150%. RESULTS: Median volumetric mismatch was 130% (range 10.9-2,031%) with 31 (77.5%) being >or=20%. Median ASPECTS mismatch was 2 (range 0-6) with 26 (65%) being >or=1. ASPECTS mismatch correlated strongly with volumetric mismatch with rho = 0.763 [95% CI 0.585-0.870], p < 0.0001. Sensitivity and specificity for volumetric mismatch >or=20% was 83.9% [95% CI 65.5-93.5] and 100% [95% CI 65.9-100], respectively, using ASPECTS mismatch >or=1. Volumetric mismatch >or=50%, >or=100%, and >or=150% were optimally identified using ASPECTS mismatch >or=1, >or=2, and >or=2, respectively. CONCLUSION: On CTP, ASPECTS mismatch showed strong correlation to volumetric mismatch. ASPECTS mismatch >or=1 was the optimal cut point for volumetric mismatch >or=20%.
Authors: K S Butcher; M Parsons; L MacGregor; P A Barber; J Chalk; C Bladin; C Levi; T Kimber; D Schultz; J Fink; B Tress; G Donnan; S Davis Journal: Stroke Date: 2005-06 Impact factor: 7.914
Authors: Mark W Parsons; P Alan Barber; Jonathon Chalk; David G Darby; Stephen Rose; Patricia M Desmond; Richard P Gerraty; Brian M Tress; Peter M Wright; Geoffrey A Donnan; Stephen M Davis Journal: Ann Neurol Date: 2002-01 Impact factor: 10.422
Authors: Mark W Parsons; Elizabeth M Pepper; Virgil Chan; Sabbir Siddique; Siva Rajaratnam; Grant A Bateman; Christopher R Levi Journal: Ann Neurol Date: 2005-11 Impact factor: 10.422
Authors: Werner Hacke; Greg Albers; Yasir Al-Rawi; Julien Bogousslavsky; Antonio Davalos; Michael Eliasziw; Michael Fischer; Anthony Furlan; Markku Kaste; Kennedy R Lees; Mariola Soehngen; Steven Warach Journal: Stroke Date: 2004-11-29 Impact factor: 7.914
Authors: P A Barber; M D Hill; M Eliasziw; A M Demchuk; J H W Pexman; M E Hudon; A Tomanek; R Frayne; A M Buchan Journal: J Neurol Neurosurg Psychiatry Date: 2005-11 Impact factor: 10.154
Authors: Shelagh B Coutts; Michael H Lev; Michael Eliasziw; Luca Roccatagliata; Michael D Hill; Lee H Schwamm; J H Warwick Pexman; Walter J Koroshetz; Mark E Hudon; Alastair M Buchan; R Gilberto Gonzalez; Andrew M Demchuk Journal: Stroke Date: 2004-10-14 Impact factor: 7.914
Authors: R I Aviv; J Mandelcorn; S Chakraborty; D Gladstone; S Malham; G Tomlinson; A J Fox; S Symons Journal: AJNR Am J Neuroradiol Date: 2007-10-05 Impact factor: 3.825
Authors: R I Aviv; I Shelef; S Malam; S Chakraborty; D J Sahlas; G Tomlinson; S Symons; A J Fox Journal: Clin Radiol Date: 2007-03-21 Impact factor: 2.350
Authors: Kolja M Thierfelder; Wieland H Sommer; Alena B Baumann; Ernst Klotz; Felix G Meinel; Frederik F Strobl; Konstantin Nikolaou; Maximilian F Reiser; Louisa von Baumgarten Journal: Neuroradiology Date: 2013-04-09 Impact factor: 2.804
Authors: Andreas M J Frölich; Sarah Lena Wolff; Marios N Psychogios; Ernst Klotz; Ramona Schramm; Katrin Wasser; Michael Knauth; Peter Schramm Journal: Eur Radiol Date: 2014-02 Impact factor: 5.315
Authors: Marina Padroni; Sandra Boned; Marc Ribó; Marian Muchada; David Rodriguez-Luna; Pilar Coscojuela; Alejandro Tomasello; Jordi Cabero; Jorge Pagola; Noelia Rodriguez-Villatoro; Jesus M Juega; Estela Sanjuan; Carlos A Molina; Marta Rubiera Journal: Interv Neurol Date: 2016-06-28
Authors: Tom van Seeters; Geert Jan Biessels; Joris M Niesten; Irene C van der Schaaf; Jan Willem Dankbaar; Alexander D Horsch; Willem P T M Mali; L Jaap Kappelle; Yolanda van der Graaf; Birgitta K Velthuis Journal: PLoS One Date: 2013-10-08 Impact factor: 3.240
Authors: Niko Sillanpaa; Jukka T Saarinen; Harri Rusanen; Jari Hakomaki; Arto Lahteela; Heikki Numminen; Irina Elovaara; Prasun Dastidar; Seppo Soimakallio Journal: Cerebrovasc Dis Extra Date: 2011-02-17
Authors: Smriti Agarwal; Tomasz Matys; S Tulasi Marrapu; Daniel J Scoffings; Jennifer Mitchell; P Simon Jones; Jean-Claude Baron; Elizabeth A Warburton Journal: Front Neurol Date: 2015-04-09 Impact factor: 4.003