BACKGROUND AND PURPOSE: Cerebral infarct volume as observed in follow-up CT is an important radiologic outcome measure of the effectiveness of treatment of patients with acute ischemic stroke. However, manual measurement of CIV is time-consuming and operator-dependent. The purpose of this study was to develop and evaluate a robust automated measurement of the CIV. MATERIALS AND METHODS: The CIV in early follow-up CT images of 34 consecutive patients with acute ischemic stroke was segmented with an automated intensity-based region-growing algorithm, which includes partial volume effect correction near the skull, midline determination, and ventricle and hemorrhage exclusion. Two observers manually delineated the CIV. Interobserver variability of the manual assessments and the accuracy of the automated method were evaluated by using the Pearson correlation, Bland-Altman analysis, and Dice coefficients. The accuracy was defined as the correlation with the manual assessment as a reference standard. RESULTS: The Pearson correlation for the automated method compared with the reference standard was similar to the manual correlation (R = 0.98). The accuracy of the automated method was excellent with a mean difference of 0.5 mL with limits of agreement of -38.0-39.1 mL, which were more consistent than the interobserver variability of the 2 observers (-40.9-44.1 mL). However, the Dice coefficients were higher for the manual delineation. CONCLUSIONS: The automated method showed a strong correlation and accuracy with the manual reference measurement. This approach has the potential to become the standard in assessing the infarct volume as a secondary outcome measure for evaluating the effectiveness of treatment.
BACKGROUND AND PURPOSE:Cerebral infarct volume as observed in follow-up CT is an important radiologic outcome measure of the effectiveness of treatment of patients with acute ischemic stroke. However, manual measurement of CIV is time-consuming and operator-dependent. The purpose of this study was to develop and evaluate a robust automated measurement of the CIV. MATERIALS AND METHODS: The CIV in early follow-up CT images of 34 consecutive patients with acute ischemic stroke was segmented with an automated intensity-based region-growing algorithm, which includes partial volume effect correction near the skull, midline determination, and ventricle and hemorrhage exclusion. Two observers manually delineated the CIV. Interobserver variability of the manual assessments and the accuracy of the automated method were evaluated by using the Pearson correlation, Bland-Altman analysis, and Dice coefficients. The accuracy was defined as the correlation with the manual assessment as a reference standard. RESULTS: The Pearson correlation for the automated method compared with the reference standard was similar to the manual correlation (R = 0.98). The accuracy of the automated method was excellent with a mean difference of 0.5 mL with limits of agreement of -38.0-39.1 mL, which were more consistent than the interobserver variability of the 2 observers (-40.9-44.1 mL). However, the Dice coefficients were higher for the manual delineation. CONCLUSIONS: The automated method showed a strong correlation and accuracy with the manual reference measurement. This approach has the potential to become the standard in assessing the infarct volume as a secondary outcome measure for evaluating the effectiveness of treatment.
Authors: Philip M Meyers; H Christian Schumacher; Randall T Higashida; Stanley L Barnwell; Mark A Creager; Rishi Gupta; Cameron G McDougall; Dilip K Pandey; David Sacks; Lawrence R Wechsler Journal: Circulation Date: 2009-04-06 Impact factor: 29.690
Authors: A I Maas; M Dearden; G M Teasdale; R Braakman; F Cohadon; F Iannotti; A Karimi; F Lapierre; G Murray; J Ohman; L Persson; F Servadei; N Stocchetti; A Unterberg Journal: Acta Neurochir (Wien) Date: 1997 Impact factor: 2.216
Authors: J H Pexman; P A Barber; M D Hill; R J Sevick; A M Demchuk; M E Hudon; W Y Hu; A M Buchan Journal: AJNR Am J Neuroradiol Date: 2001-09 Impact factor: 3.825
Authors: Raul G Nogueira; Helmi L Lutsep; Rishi Gupta; Tudor G Jovin; Gregory W Albers; Gary A Walker; David S Liebeskind; Wade S Smith Journal: Lancet Date: 2012-08-26 Impact factor: 79.321
Authors: Jeffrey L Saver; Reza Jahan; Elad I Levy; Tudor G Jovin; Blaise Baxter; Raul G Nogueira; Wayne Clark; Ronald Budzik; Osama O Zaidat Journal: Lancet Date: 2012-08-26 Impact factor: 79.321
Authors: Anna Mm Boers; Ivo Gh Jansen; Olvert A Berkhemer; Albert J Yoo; Hester F Lingsma; Cornelis H Slump; Yvo Bwem Roos; Robert J van Oostenbrugge; Diederik Wj Dippel; Aad van der Lugt; Wim H van Zwam; Henk A Marquering; Charles Blm Majoie Journal: J Cereb Blood Flow Metab Date: 2016-11-19 Impact factor: 6.200
Authors: Raymond M Padmos; Nerea Arrarte Terreros; Tamás I Józsa; Gábor Závodszky; Henk A Marquering; Charles B L M Majoie; Stephen J Payne; Alfons G Hoekstra Journal: J R Soc Interface Date: 2022-10-05 Impact factor: 4.293
Authors: Olvert A Berkhemer; Shervin Kamalian; R Gilberto González; Charles B L M Majoie; Albert J Yoo Journal: Cardiovasc Eng Technol Date: 2013-12-01 Impact factor: 2.495
Authors: Ronen R Leker; Asaf Honig; Andrei Filioglo; Naaem Simaan; John M Gomori; Jose E Cohen Journal: Neuroradiology Date: 2020-10-06 Impact factor: 2.804
Authors: I R van den Wijngaard; G Holswilder; M J H Wermer; J Boiten; A Algra; D W J Dippel; J W Dankbaar; B K Velthuis; A M M Boers; C B L M Majoie; M A A van Walderveen Journal: AJNR Am J Neuroradiol Date: 2016-03-31 Impact factor: 3.825
Authors: Anna M M Boers; Ivo G H Jansen; Scott Brown; Hester F Lingsma; Ludo F M Beenen; Thomas G Devlin; Luis San Román; Ji-Hoe Heo; Marc Ribó; Mohammed A Almekhlafi; David S Liebeskind; Jeanne Teitelbaum; Patricia Cuadras; Richard du Mesnil de Rochemont; Marine Beaumont; Martin M Brown; Albert J Yoo; Geoffrey A Donnan; Jean Louis Mas; Catherine Oppenheim; Richard J Dowling; Thierry Moulin; Nelly Agrinier; Demetrius K Lopes; Lucía Aja Rodríguez; Kars C J Compagne; Fahad S Al-Ajlan; Jeremy Madigan; Gregory W Albers; Sebastien Soize; Jordi Blasco; Stephen M Davis; Raul G Nogueira; Antoni Dávalos; Bijoy K Menon; Aad van der Lugt; Keith W Muir; Yvo B W E M Roos; Phil White; Peter J Mitchell; Andrew M Demchuk; Wim H van Zwam; Tudor G Jovin; Robert J van Oostenbrugge; Diederik W J Dippel; Bruce C V Campbell; Francis Guillemin; Serge Bracard; Michael D Hill; Mayank Goyal; Henk A Marquering; Charles B L M Majoie Journal: JAMA Neurol Date: 2019-02-01 Impact factor: 18.302
Authors: Ralph R E G Geuskens; Jordi Borst; Marit Lucas; A M Merel Boers; Olvert A Berkhemer; Yvo B W E M Roos; Marianne A A van Walderveen; Sjoerd F M Jenniskens; Wim H van Zwam; Diederik W J Dippel; Charles B L M Majoie; Henk A Marquering Journal: PLoS One Date: 2015-11-04 Impact factor: 3.240
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