Department of Radiology, University of Calgary, Calgary, Alberta, Canada.
Can J Neurol Sci. 2010 Nov;37(6):849-54. doi: 10.1017/s0317167100051556.
To assess the feasibility of iPhone-based teleradiology as a potential solution for the diagnosis of acute cervico-dorsal spine trauma.
We have developed a solution that allows visualization of images on the iPhone. Our system allows rapid, remote, secure, visualization of medical images without storing patient data on the iPhone. This retrospective study is comprised of cervico-dorsal computed tomogram (CT) scan examination of 75 consecutive patients having clinically suspected cervico-dorsal spine fracture. Two radiologists reviewed CT scan images on the iPhone. Computed tomogram spine scans were analyzed for vertebral body fracture and posterior elements fractures, any associated subluxation-dislocation and cord lesion. The total time taken from the launch of viewing application on the iPhone until interpretation was recorded. The results were compared with that of a diagnostic workstation monitor. Inter-rater agreement was assessed.
The sensitivity and accuracy of detecting vertebral body fractures was 80% and 97% by both readers using the iPhone system with a perfect inter-rater agreement (kappa:1). The sensitivity and accuracy of detecting posterior elements fracture was 75% and 98% for Reader 1 and 50% and 97% for Reader 2 using the iPhone. There was good inter-rater agreement (kappa: 0.66) between both readers. No statistically significant difference was noted between time on the workstation and the iPhone system.
iPhone-based teleradiology system is accurate in the diagnosis of acute cervicodorsal spinal trauma. It allows rapid, remote, secure, visualization of medical images without storing patient data on the iPhone.
评估基于 iPhone 的远程放射学作为诊断急性颈背脊柱创伤的潜在解决方案的可行性。
我们开发了一种可在 iPhone 上查看图像的解决方案。我们的系统允许快速、远程、安全地查看医疗图像,而不会在 iPhone 上存储患者数据。这项回顾性研究纳入了 75 例连续的颈背 CT 扫描检查,这些患者均有临床疑似颈背脊柱骨折。两名放射科医生在 iPhone 上查看 CT 扫描图像。对椎体骨折和后柱骨折、任何相关的半脱位-脱位和脊髓损伤进行 CT 脊柱扫描分析。从在 iPhone 上启动查看应用程序到解释的总时间被记录下来。结果与诊断工作站显示器进行了比较。评估了观察者间的一致性。
使用 iPhone 系统,两位读者检测椎体骨折的灵敏度和准确性分别为 80%和 97%,观察者间具有完美的一致性(kappa:1)。使用 iPhone,读者 1 和读者 2 检测后柱骨折的灵敏度和准确性分别为 75%和 98%,50%和 97%。两位读者之间具有良好的观察者间一致性(kappa:0.66)。在工作站和 iPhone 系统上的时间没有统计学上的显著差异。
基于 iPhone 的远程放射学系统在诊断急性颈背脊柱创伤方面是准确的。它允许快速、远程、安全地查看医疗图像,而不会在 iPhone 上存储患者数据。