Rapid软件、CT血管造影和数字减影血管造影对侧支循环评估价值对比

doi:10.20047/j.issn1673-7210.2023.17.18

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Abstract Objective To investigate the consistency of assessment of collateral circulation among Rapid software, CT angiography (CTA) and digital subtraction angiography (DSA). Methods Seventy-five patients with unilateral middle cerebral artery occlusion admitted to Yongchuan Hospital of Chongqing Medical University from January 2020 to April 2022 were selected. Patients received CTA, CTP and DSA examination seperately after onset. Assessment of collateral circulation was automatically conducted by Rapid software, while the scores of CTA and DSA blood flow were assessed by two physicians blindly. DSA score was used as the gold standard to judge the accuracy of CTA and Rapid software evaluation. Kappa test was conducted to evaluate the consistency of blood flow score assessed by DSA, CTA and Rapid software. Results The blood flow scores of Rapid software accorded closely with DSA and CTA (rs=0.729, κ=0.516；rs=0.744, κ=0.543); blood flow scores of CTA and DSA were consistent (κ=0.768, rs=0.857). The sensitivity and specificity of Rapid software and CTA to determine good collateral circulation were 83.33%, 60.87% and 100.00%, 76.81%, respectively; the sensitivity and specificity of Rapid software and CTA were 46.67%, 100.00% and 86.67%, 100.00%, respectively; the sensitivity and specificity of Rapid software and CTA to determine the poor collateral circulation were 66.67%, 70.67% and 62.50%, 96.08% respectively. Conclusion CTA has high sensitivity and specificity, CTA and DSA assessment of collateral circulation results are highly consistent. The sensitivity and specificity of Rapid software are low, but it has a good consistency with DSA, so it can also be used as a check to evaluate collateral circulation.

Key words： Collateral circulation Rapid software CT angiography Digital subtraction angiography Artificial intelligence

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	LEI Ming1 ZHAO Libo1 XU Liuyuan1 LIAO Juan2 LIU Qingjun1 WANG Yu3 DU Xiaoyan1 ZHAO Rui1

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LEI Ming1 ZHAO Libo1 XU Liuyuan1 LIAO Juan2 LIU Qingjun1 WANG Yu3 DU Xiaoyan1 ZHAO Rui1. Comparison of Rapid software, CT angiography and digital subtraction angiography in evaluating collateral circulation[J]. 中国医药导报, 2023, 20(17): 82-85,131.

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https://www.yiyaodaobao.com.cn/EN/10.20047/j.issn1673-7210.2023.17.18 OR https://www.yiyaodaobao.com.cn/EN/Y2023/V20/I17/82

[1] 王陇德，彭斌，张鸿祺，等.《中国脑卒中防治报告2020》概要[J].中国脑血管病杂志，2022，19（2）：136-144.
[2] Howard J. Artificial intelligence：Implications for the future of work [J]. Am J Ind Med，2019，62（11）：917-926.
[3] 彭斌，吴波.中国急性缺血性脑卒中诊治指南2018[J].中华神经科杂志，2018，51（9）：666-682.
[4] Bhaskar S，Stanwell P，Cordato D，et al. Reperfusion therapy in acute ischemic stroke： dawn of a new era?[J]. BMC Neurol，2018，18（1）：8.
[5] Albers GW，Marks MP，Kemp S，et al. Thrombectomy for Stroke at 6 to 16 Hours with Selection by Perfusion Imaging [J]. N Engl J Med，2018，378（8）：708-718.
[6] Grunwald IQ，Kulikovski J，Reith W，et al. Collateral Automation for Triage in Stroke： Evaluating Automated Scoring of Collaterals in Acute Stroke on Computed Tomography Scans [J]. Cerebrovasc Dis，2019，47（5/6）：217-222.
[7] 陈聚惠，苗重昌.急性缺血性脑卒中侧支循环的影像评估[J].国际医学放射学杂志，2019，42（3）：303-307.
[8] 张渺娜，闫呈新.急性缺血性脑卒中侧支循环的影像学研究进展[J].中国继续医学教育，2020，12（13）：82-85.
[9] 张兆丰，李勤.缺血性卒中患者的侧支循环评估及其意义[J].中国现代医生，2016，54（6）：147-150.
[10] Lansberg MG，Christensen S，Kemp S，et al. Computed tomographic perfusion to Predict Response to Recanalization in ischemic stroke [J]. Ann Neurol，2017，81（6）：849-856.
[11] Mokin M，Levy EI，Saver JL，et al. Predictive Value of RAPID Assessed Perfusion Thresholds on Final Infarct Volume in SWIFT PRIME（Solitaire With the Intention for Thrombectomy as Primary Endovascular Treatment）[J]. Stroke，2017， 48（4）：932-938.
[12] Miteff F，Levi CR，Bateman GA，et al. The independent predictive utility of computed tomography angiographic collateral status in acute ischaemic stroke [J]. Brain，2009， 132（Pt 8）：2231-2238.
[13] Higashida RT，Furlan AJ，Roberts H，et al. Trial design and reporting standards for intra-arterial cerebral thrombolysis for acute ischemic stroke [J]. Stroke，2003，34（8）：e109- e137.
[14] Imaoka Y，Shindo S，Miura M，et al. Hypoperfusion intensity ratio and CBV index as predictive parameters to identify underlying intracranial atherosclerotic stenosis in endovascular thrombectomy [J]. J Neuroradiol，2022，S0150- 9861（22）：00164-X.
[15] 宋青泽，尹宏宇，张继.基于RAPID软件CT灌注参数评估急性缺血性脑卒中患者侧支循环[J].中国介入影像与治疗学，2022，19（8）：481-486.
[16] Lansberg MG，Straka M，Kemp S，et al. MRI profile and response to endovascular reperfusion after stroke （DEFU- SE2）：a prospective cohort study [J]. Lancet Neurol，2012， 11（10）： 860-867.
[17] 游伊伦，汪洋，李双，等.颅内血管侧支循环研究进展[J].中国卒中杂志，2017，12（2）：143-146.
[18] 任瑜，杨琴.脑侧支循环影响因素及评估方法的研究进展[J]. 现代医药卫生，2020，36（9）：1358-1361.
[19] Van den Wijngaard IR，Boiten J，Holswilder G，et al. Impact of Collateral Status Evaluated by Dynamic Computed Tomographic Angiography on Clinical Outcome in Patients With Ischemic Stroke [J]. Stroke，2015，46（12）：3398-3404.
[20] 文婉玲，张永巍，杨志刚，等.数字减影血管造影评估急性脑梗死患者血管再通术预后的初步分析[J].中华神经科杂志，2015，48（5）：373-376.
[21] 赵勇，汤其强，许啟伍，等.急性缺血性卒中侧支循环建立的影像学评估方法及其临床价值研究进展[J].山东医药，2018，58（29）：98-100.
[22] 周建国，卢明聪，孟云，等.单侧大脑中动脉M1段闭塞后脑动脉硬化与侧支循环建立相关性研究[J].临床放射学杂志，2021，40（2）：212-216.
[23] 刘斌，任伯，毛文静，等.CT血管成像检查对急性脑梗死患者颈动脉狭窄及脑侧支循环的诊断价值[J].中华老年心脑血管病杂志，2018，20（2）：137-140.
[24] Fr?觟lich AM，Wolff SL，Psychogios MN，et al. Time-resolved assessment of collateral flow using 4D CT angiography in large-vessel occlusion stroke [J]. Eur Radiol，2014，24（2）：390-396.
[25] 任国勇，薛盼，吴雪梅，等.CT血管造影和数字减影血管造影对软脑膜侧支循环评估对比[J].中华老年心脑血管病杂志，2020，22（2）：133-137.
[26] 刘东，刘峻峰.CT血管造影侧支循环评分与缺血性脑卒中预后的研究进展[J].华西医学，2022，37（9）：1388- 1394.
[27] Vagal A，Wintermark M，Nael K，et al. Automated CT perfusion imaging for acute ischemic stroke： Pearls and pitfalls for real-world use [J]. Neurology，2019，93（20）：888-898.
[28] Straka M，Albers GW，Bammer R. Real-time diffusion-perfusion mismatch analysis in acute stroke [J]. J Magn Reson Imaging，2010，32（5）：1024-1037.
[29] Sallustio F，Motta C，Pizzuto S，et al. CT angiography-based collateral flow and time to reperfusion are strong predictors of outcome in endovascular treatment of patients with stroke [J]. J Neurointerv Surg，2017，9（10）：940-943.
[30] 王宇濛，单艺，卢洁.多模态CT在评估缺血性脑卒中侧支循环的研究进展[J].中华老年心脑血管病杂志，2022， 24（9）：1006-1008.
[31] 秦海强，张亚清，张婧，等.人工智能在缺血性卒中诊断与治疗中的应用[J].中国现代神经疾病杂志，2021，21（1）：21-24.
[32] Murray NM，Unberath M，Hager GD，et al. Artificial intelligence to diagnose ischemic stroke and identify large vessel occlusions： a systematic review [J]. J Neurointerv Surg，2020， 12（2）：156-164.
[33] Lima FO，Furie KL，Silva GS，et al. The pattern of leptomeningeal collaterals on CT angiography is a strong predictor of long-term functional outcome in stroke patients with large vessel intracranial occlusion [J]. Stroke，2010， 41（10）：2316-2322.
[34] 张帆，徐缓，李运祥，等.320排CT全脑灌注成像结合4D-CTA在大脑中动脉闭塞患者侧支循环评估中的应用[J].中国CT和MRI杂志，2019，17（8）：36-38.