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The Detection of Spontaneous Venous Pulsation with Smartphone Video Ophthalmoscopy

机译:用智能手机视频眼镜检查自发静脉脉动的检测

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Purpose: Spontaneous venous pulsation (SVP) has a high negative predictive value for raised intracranial pressure and is a useful sign when assessing patients with headache. The objective was to determine if smartphone-based video ophthalmoscopy can detect SVP. Patients and Methods: In total 233 patients and 291 eyes were recruited from the Dunedin Hospital eye clinic from July to November 2018. Patients were examined by a clinician and graded for SVP with a slit lamp and 78 Dioptre lens. Videos were taken with a smartphone ophthalmoscope and graded by two separate clinicians blinded to the slit lamp findings. Results: Only 272 eyes of 215 patients were included, as others failed in the inclusion criteria for overall video quality. Sensitivity was calculated as how likely the presence of SVP on video was indicative of the presence of SVP on slit lamp. Sensitivity was 84.77% for Observer 1, with 128 videos graded as positive for SVP on video ophthalmoscopy of the 151 identified as positive on slit lamp examination. Sensitivity was 76.82% for Observer 2 with 116 videos correctly identified. The false positive rate was calculated as the number of videos graded positive for SVP that had been graded as negative on slit lamp examination. This was 10.74% for observer 1 and 31.40% for observer 2. Conclusion: This study demonstrates that SVP is detected by video ophthalmoscopy. This may be a useful triage, telemedicine and referral tool to be used for patients with headache in a primary care setting.
机译:目的:自发静脉脉动(SVP)具有高负预测值,用于提高颅内压力,并且在评估头痛患者时是一个有用的标志。目标是确定智能手机的视频眼镜检查是否可以检测SVP。患者和方法:从7月到2018年7月,从Dunedin医院眼科诊所招募了233名患者和291只眼睛。临床医生检查患者,用缝隙灯和78倍透镜进行SVP进行分级。视频采用智能手机眼科检查器拍摄,并被两个独立的临床医生蒙上蒙住狭缝灯调查结果。结果:包括215名患者的212只眼睛,因为其他人在整体视频质量的纳入标准中失败。敏感性计算为SVP在视频上的存在有程度,指示狭缝灯上的SVP。观察者1的敏感性为84.77%,128个视频在狭缝灯检查上鉴定为正面的151的视频眼镜检查的SVP阳性。观察者2的灵敏度为76.82%,正确识别了116个视频。假阳性率计算为SVP阳性阳性的视频数量,这些视频已经被评分为负面缝隙灯检查。观察者1和31.40%的观察者2的10.74%为2.74%。结论:本研究表明,通过视频眼镜检查检测SVP。这可能是用于初级保健环境中头痛的患者的有用的分类,远程医疗和推荐工具。

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