Hidlay Douglas T, McTaggart Ryan A, Baird Grayson, Yaghi Shadi, Hemendinger Morgan, Tung Eric L, Dibiasio Eleanor L, Haas Richard A, Jayaraman Mahesh V
Department of Diagnostic Imaging, Warren Alpert School of Medicine at Brown University, United States.
Department of Diagnostic Imaging, Warren Alpert School of Medicine at Brown University, United States; Department of Neurology, Warren Alpert School of Medicine at Brown University, United States; Department of Neurosurgery, Warren Alpert School of Medicine at Brown University, United States; Norman Prince Neuroscience Institute, Rhode Island Hospital, United States.
Clin Neurol Neurosurg. 2018 Aug;171:135-138. doi: 10.1016/j.clineuro.2018.06.012. Epub 2018 Jun 11.
Mechanical thrombectomy is the standard of care for stroke caused by an emergent large vessel occlusion in the anterior circulation, and the ability to rapidly review CTA is one hurdle in minimizing the time from diagnosis to intervention. We evaluated the diagnostic accuracy and confidence in review of stroke CTA for ELVO via a smartphone-based application as compared to PACS workstation.
Seventy-six head and neck CTA studies performed for stroke from one comprehensive and seven primary stroke centers were independently reviewed remotely on smartphone by two blinded interventional neuroradiologists in actual-use circumstances. The presence and location of large vessel occlusion(s), diagnostic quality, and confidence in interpretation were recorded. Comparison was made to blinded PACS workstation review performed at a delayed interval. Weighted Kappa and Kendall's Tau statistics were calculated to evaluate intra- and inter-observer reliability.
Of the 76 studies, 20 (26%) had a large vessel occlusion. 14 M1 segment occlusions (18%); 2 ICA terminus (3%); 2 tandem carotid and M1 (3%); and 2 basilar artery (3%). There was 100% diagnostic accuracy by both PACS workstation and smartphone review (p = .9999) with high inter- and intra-rater reliability for assessments of both image quality and diagnostic confidence.
In actual-use circumstances, experienced neuroradiologists can diagnose ELVOs on CTA using a smartphone application as accurately as on PACS workstation without degradation of confidence. These findings support the use of mobile electronic devices by stroke centers to rapidly triage patients for mechanical thrombectomy.
机械取栓术是治疗前循环急性大血管闭塞所致卒中的标准治疗方法,而快速复查CTA的能力是缩短从诊断到干预时间的一个障碍。我们通过一款基于智能手机的应用程序与PACS工作站对比,评估了对急性大血管闭塞性卒中CTA复查的诊断准确性和信心度。
来自一个综合卒中中心和七个初级卒中中心的76例因卒中进行的头颈部CTA研究,由两名介入神经放射科医生在实际使用情况下,在智能手机上进行独立的远程盲法复查。记录大血管闭塞的存在情况和位置、诊断质量以及解读信心度。与延迟进行的PACS工作站盲法复查结果进行比较。计算加权Kappa和肯德尔tau统计量以评估观察者内和观察者间的可靠性。
在76项研究中,20例(26%)存在大血管闭塞。14例为M1段闭塞(18%);2例为颈内动脉末端闭塞(3%);2例为串联性颈动脉和M1段闭塞(3%);2例为基底动脉闭塞(3%)。PACS工作站和智能手机复查的诊断准确率均为100%(p = 0.9999),在图像质量和诊断信心度评估方面具有较高的观察者间和观察者内可靠性。
在实际使用情况下,经验丰富的神经放射科医生使用智能手机应用程序诊断CTA上的急性大血管闭塞与使用PACS工作站一样准确,且信心度不降低。这些发现支持卒中中心使用移动电子设备对患者进行快速分类以便进行机械取栓。