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"Background: Annotation and Image Markup on ClearCanvas Enriched Stroke– phenotyping Software (ACCESS) is a novel stand-alone computer software application that allows the creation of simple standardized annotations for reporting brain images of all stroke types. We developed the ACCESS application...
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2017
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| LEADER | 00000njm a2000000a 4500 | ||
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| 001 | oai:repository.ui.edu.ng:123456789/12496 | ||
| 042 | |a dc | ||
| 720 | |a Owolabi M. |e author | ||
| 720 | |a Ogbole G. |e author | ||
| 720 | |a Akinyemi R. |e author | ||
| 720 | |a Salaam K. |e author | ||
| 720 | |a Akpa O. |e author | ||
| 720 | |a Mongkolwat P. |e author | ||
| 720 | |a Omisore A. |e author | ||
| 720 | |a Agunloye A. |e author | ||
| 720 | |a Efidi R. |e author | ||
| 720 | |a Odo J. |e author | ||
| 720 | |a Makanjuola A. |e author | ||
| 720 | |a Akpalu A. |e author | ||
| 720 | |a Sarfo F. |e author | ||
| 720 | |a Owolabi L. |e author | ||
| 720 | |a Obiako R. |e author | ||
| 720 | |a Wahab K. |e author | ||
| 720 | |a Sanya E. |e author | ||
| 720 | |a Adebayo P. |e author | ||
| 720 | |a Komolafe M. |e author | ||
| 720 | |a Adeoye A. M. |e author | ||
| 720 | |a Fawale M. B. |e author | ||
| 260 | |c 2017 | ||
| 520 | |a "Background: Annotation and Image Markup on ClearCanvas Enriched Stroke– phenotyping Software (ACCESS) is a novel stand-alone computer software application that allows the creation of simple standardized annotations for reporting brain images of all stroke types. We developed the ACCESS application and determined its inter-rater and intra-rater reliability in the Stroke Investigative Research and Educational Network (SIREN) study to assess its suitability for multicenter studies. Methods: One hundred randomly selected stroke imaging reports from 5 SIREN sites were re-evaluated by 4 trained independent raters to determine the inter-rater reliability of the ACCESS (version 12.0) software for stroke phenotyping. To determine intra-rater reliability, 6 raters reviewed the same cases previously reported by them after a month of interval. Ischemic stroke was classified using the Oxfordshire Community Stroke Project (OCSP), Trial of Org 10172 in Acute Stroke Treatment (TOAST), and Atherosclerosis, Small-vessel disease, Cardiac source, Other cause (ASCO) protocols, while hemorrhagic stroke was classified using the Structural lesion, Medication, Amyloid angiopathy, Systemic disease, Hypertensive angiopathy and Undetermined (SMASH-U) protocol in ACCESS. Agreement among raters was measured with Cohen’s kappa statistics. Results: For primary stroke type, inter-rater agreement was .98 (95% confidence interval [CI], .94-1.00), while intra-rater agreement was 1.00 (95% CI, 1.00). For OCSP subtypes, inter-rater agreement was .97 (95% CI, .92-1.00) for the partial anterior circulation infarcts, .92 (95% CI, .76-1.00) for the total anterior circulation infarcts, and excellent for both lacunar infarcts and posterior circulation infarcts. Intra-rater agreement was .97 (.90-1.00), while inter-rater agreement was .93 (95% CI, .84-1.00) for TOAST subtypes. Inter-rater agreement ranged between .78 (cardioembolic) and .91 (large artery atherosclerotic) for ASCO subtypes and was .80 (95% CI, .56-1.00) for SMASH-U subtypes. Conclusion: The ACCESS application facilitates a con cordant and reproducible classification of stroke subtypes by multiple investigators, making it suitable for clinical use and multicenter research. | ||
| 024 | 8 | |a 1532-8511 | |
| 024 | 8 | |a Journal of stroke and cerebrovascular diseases, 26(11), pp. 2662-2670 | |
| 024 | 8 | |a ui_art_owolabi_development_2017 | |
| 024 | 8 | |a https://repository.ui.edu.ng/handle/123456789/12496 | |
| 653 | |a Stroke | ||
| 653 | |a Africa | ||
| 653 | |a phenotyping | ||
| 653 | |a DICOM application | ||
| 653 | |a reporting software intracerebral hemorrhage | ||
| 653 | |a ischemic stroke | ||
| 653 | |a developing country | ||
| 245 | 0 | 0 | |a Development and Reliability of a User-Friendly Multicenter Phenotyping Application for Hemorrhagic and Ischemic Stroke |