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CT diagnosis of early stroke : the initial approach to the new CAD tool based on multiscale estimation of ischemia

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CT diagnosis of early stroke : the initial approach to the new CAD tool based on multiscale estimation of ischemia

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dc.contributor.author Walecki, Jerzy pl
dc.contributor.author Przelaskowski, Artur pl
dc.contributor.author Sklinda, Katarzyna pl
dc.contributor.author Ostrek, Grzegorz pl
dc.contributor.author Bulski, Tomasz pl
dc.date.accessioned 2018-10-24T15:27:08Z
dc.date.available 2018-10-24T15:27:08Z
dc.date.issued 2009 pl
dc.identifier.issn 1733-134X pl
dc.identifier.uri https://ruj.uj.edu.pl/xmlui/handle/item/58635
dc.language eng pl
dc.rights Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/pl/legalcode *
dc.title CT diagnosis of early stroke : the initial approach to the new CAD tool based on multiscale estimation of ischemia pl
dc.type JournalArticle pl
dc.description.physical 41-49 pl
dc.description.additional Bibliogr. s. 48-49 pl
dc.identifier.weblink http://archiwum.polradiol.com/abstract/index/idArt/878378 pl
dc.abstract.en Background: Computer aided diagnosis (CAD) becomes one of the most important diagnostic tools for urgent states in cerebral stroke and other life-threatening conditions where time plays a crucial role. Routine CT is still diagnostically insufficient in hyperacute stage of stroke that is in the therapeutic window for thrombolytic therapy. Authors present computer assistant of early ischemic stroke diagnosis that supports the radiologic interpretations. A new semantic-visualization system of ischemic symptoms applied to noncontrast, routine CT examination was based on multiscale image processing and diagnostic content estimation. Material/Methods: Evaluation of 95 sets of examinations in patients admitted to a hospital with symptoms suggesting stroke was undertaken by four radiologists from two medical centers unaware of the final clinical findings. All of the consecutive cases were considered as having no CT direct signs of hyperacute ischemia. At the first test stage only the CTs performed at the admission were evaluated independently by radiologists. Next, the same early scans were evaluated again with additional use of multiscale computer-assistant of stroke (MulCAS). Computerized suggestion with increased sensitivity to the subtle image manifestations of cerebral ischemia was constructed as additional view representing estimated diagnostic content with enhanced stroke symptoms synchronized to routine CT data preview. Follow-up CT examinations and clinical features confirmed or excluded the diagnosis of stroke constituting 'gold standard' to verify stroke detection performance. Results: Higher AUC (area under curve) values were found for MulCAS -aided radiological diagnosis for all readers and the differences were statistically significant for random readers-random cases parametric and non-parametric DBM MRMC analysis. Sensitivity and specificity of acute stroke detection for the readers was increased by 30% and 4%, respectively. Conclusions: Routine CT completed with proposed method of computer assisted diagnosis provided noticeable better diagnosis efficiency of acute stroke according to the rates and opinions of all test readers. Further research includes fully automatic detection of hypodense regions to complete assisted indications and formulate the suggestions of stroke cases more objectively. Planned prospective studies will let evaluate more accurately the impact of this CAD tool on diagnosis and further treatment in patients suffered from stroke. It is necessary to determine whether this method is possible to be applied widely. pl
dc.subject.en hyperacute stroke pl
dc.subject.en CT pl
dc.subject.en multiscale processing pl
dc.subject.en computer aided diagnosis pl
dc.description.volume 74 pl
dc.description.number 1 pl
dc.identifier.eissn 1899-0967 pl
dc.title.journal Polish Journal of Radiology pl
dc.language.container eng pl
dc.date.accession 2018-10-24 pl
dc.subtype Article pl
dc.identifier.articleid 878378 pl
dc.rights.original CC-BY-NC-ND; otwarte czasopismo; ostateczna wersja wydawcy; w momencie opublikowania; 0 pl
dc.identifier.project ROD UJ / OP pl


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Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa Except where otherwise noted, this item's license is described as Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa