Innovation in neuro-ophthalmology: The validation of smartphone-based self-screening for early detection of disorders.

IF 1.4 Q4 OPHTHALMOLOGY
Taiwan Journal of Ophthalmology Pub Date : 2025-07-02 eCollection Date: 2025-10-01 DOI:10.4103/tjo.TJO-D-24-00105
Milzan Murtadha, Doni Widyandana, Hartono, Indra Tri Mahayana
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引用次数: 0

Abstract

Purpose: This diagnosis study evaluated the diagnostic validity of Neuro-ophthalmology Disorder Early Screening (NODES), a telemedicine-based smartphone application that integrates structured anamnesis and simple neuro-ophthalmology examination for early detection of neuro-ophthalmological disorders.

Materials and methods: This study was conducted at Sardjito Eye Center Neuro-ophthalmology subdivision, assessing the diagnostic validity of the NODES mobile application of 16 neuro-ophthalmology diagnoses compared to confirmative diagnoses of neuro-ophthalmologists. A total of 126 participants meeting inclusion criteria underwent two treatments: simple examination using the NODES application, compared to confirmative examination by neuro-ophthalmologists. Standard protocols were integrated into both treatments to evaluate the diagnosis accuracy of the examination.

Results: NODES showcase promising results as a new diagnostic tool for these four disorders; myasthenia gravis (MG) with the area under the curve (AUC) =0.951, multicranial nerve palsy orbital apex (MNP OA) with AUC = 0.900, monocranial nerve palsy N.III (MNP N.III) with AUC = 0.824, and monocranial sixth nerve palsy (MNP N.VI) with AUC = 0.764.

Conclusion: The NODES application can be used as a new diagnostic screening tool for several euro-ophthalmology diagnoses including MG, multicranial nerve palsy orbital apex, monocranial nerve palsy N.III, and monocranial sixth nerve palsy. The high specificity of NODES in other neuro-ophthalmology diagnoses can be quite useful to identify individuals without the condition, reducing the occurrence of false positives and crucial in preventing unnecessary stress, further testing, and potential misdiagnoses for those who do not actually have the condition.

Abstract Image

Abstract Image

神经眼科学的创新:基于智能手机的疾病早期自我筛查的验证。
目的:本诊断研究评估神经眼科疾病早期筛查(NODES)的诊断有效性,这是一款基于远程医疗的智能手机应用程序,将结构化记忆和简单的神经眼科检查结合起来,用于早期发现神经眼科疾病。材料和方法:本研究在Sardjito眼科中心神经眼科分部进行,比较NODES移动应用对16例神经眼科诊断的诊断有效性,并与神经眼科医生的确诊诊断进行比较。共有126名符合纳入标准的参与者接受了两种治疗:使用NODES应用程序进行简单检查,与神经眼科医生进行确认检查相比。标准方案被整合到两种治疗中,以评估检查的诊断准确性。结果:作为这四种疾病的新诊断工具,NODES显示出有希望的结果;重症肌无力(MG),曲线下面积(AUC) =0.951,多颅神经麻痹眶尖(MNP OA), AUC = 0.900,单颅神经麻痹N.III (MNP N.III), AUC = 0.824,单颅第六神经麻痹(MNP N.VI), AUC = 0.764。结论:淋巴结的应用可作为一种新的诊断筛选工具,用于诊断MG、多颅神经麻痹眶尖、单颅神经麻痹n - iii、单颅第六神经麻痹等几种欧洲眼科疾病。在其他神经眼科诊断中,淋巴结的高特异性对于识别没有这种疾病的个体非常有用,减少假阳性的发生,对于防止不必要的压力、进一步的检查和对那些实际上没有这种疾病的人的潜在误诊至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.80
自引率
9.10%
发文量
68
审稿时长
19 weeks
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