Owolabi Mayowa, Ogbole Godwin, Akinyemi Rufus, Salaam Kehinde, Akpa Onoja, Mongkolwat Pattanasak, Omisore Adeleye, Agunloye Atinuke, Efidi Richard, Odo Joseph, Makanjuola Akintomiwa, Akpalu Albert, Sarfo Fred, Owolabi Lukman, Obiako Reginald, Wahab Kolawole, Sanya Emmanuel, Adebayo Philip, Komolafe Morenikeji, Adeoye Abiodun Moshood, Fawale Michael B, Akinyemi Joshua, Osaigbovo Godwin, Sunmonu Taofiki, Olowoyo Paul, Chukwuonye Innocent, Obiabo Yahaya, Ibinaiye Philip, Dambatta Abdul, Mensah Yaw, Abdul Salaam, Olabinri Eunice, Ikubor Joyce, Oyinloye Olalekan, Odunlami Femi, Melikam Ezinne, Saulson Raelle, Kolo Philip, Ogunniyi Adesola, Ovbiagele Bruce
University of Ibadan, Nigeria; University College Hospital, Ibadan, Nigeria.
University of Ibadan, Nigeria; University College Hospital, Ibadan, Nigeria.
J Stroke Cerebrovasc Dis. 2017 Nov;26(11):2662-2670. doi: 10.1016/j.jstrokecerebrovasdis.2017.06.042. Epub 2017 Jul 29.
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.
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.
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.
The ACCESS application facilitates a concordant and reproducible classification of stroke subtypes by multiple investigators, making it suitable for clinical use and multicenter research.
ClearCanvas丰富性卒中表型分析软件(ACCESS)上的注释与图像标记是一款新颖的独立计算机软件应用程序,可创建简单的标准化注释,用于报告所有类型卒中的脑部图像。我们开发了ACCESS应用程序,并在卒中调查研究与教育网络(SIREN)研究中确定了其评分者间和评分者内的可靠性,以评估其在多中心研究中的适用性。
从5个SIREN站点随机选取100份卒中影像报告,由4名经过培训的独立评分者重新评估,以确定ACCESS(12.0版)软件在卒中表型分析方面的评分者间可靠性。为确定评分者内可靠性,6名评分者在间隔一个月后对他们之前报告过的相同病例进行复查。缺血性卒中使用牛津郡社区卒中项目(OCSP)、急性卒中治疗中Org 10172试验(TOAST)以及动脉粥样硬化、小血管疾病、心源、其他原因(ASCO)方案进行分类,而出血性卒中在ACCESS中使用结构病变、药物、淀粉样血管病、全身性疾病、高血压性血管病和未确定(SMASH-U)方案进行分类。评分者之间的一致性用Cohen's kappa统计量来衡量。
对于主要卒中类型,评分者间一致性为0.98(95%置信区间[CI],0.94 - 1.00),而评分者内一致性为1.00(95% CI,1.00)。对于OCSP亚型,部分前循环梗死的评分者间一致性为0.97(95% CI,0.92 - 1.00),全前循环梗死为0.92(95% CI,0.76 - 1.00),腔隙性梗死和后循环梗死的一致性均极佳。对于TOAST亚型,评分者内一致性为0.97(0.90 - 1.00),评分者间一致性为0.93(95% CI,0.84 - 1.00)。对于ASCO亚型,评分者间一致性在0.78(心源性栓塞)至0.91(大动脉粥样硬化)之间,对于SMASH-U亚型为0.80(95% CI,0.56 - 1.00)。
ACCESS应用程序有助于多名研究者对卒中亚型进行一致且可重复的分类,使其适用于临床应用和多中心研究。