Suppr超能文献

使用基于智能手机的超视力测试对特发性视网膜前膜患者的视物变形进行量化:前瞻性观察研究。

Quantification of Metamorphopsia Using a Smartphone-Based Hyperacuity Test in Patients With Idiopathic Epiretinal Membranes: Prospective Observational Study.

作者信息

Amon Daria, Leisser Christoph, Schlatter Andreas, Ruiss Manuel, Pilwachs Caroline, Bayer Natascha, Huemer Josef, Findl Oliver

机构信息

Vienna Institute for Research in Ocular Surgery, A Karl Landsteiner Institute, Hanusch Hospital, Vienna, Austria.

NIHR Biomedical Research Center at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, 11-43 Bath Street Lower Ground Floor, London, EC1V, United Kingdom, 44 207 253 3411.

出版信息

JMIR Perioper Med. 2025 Apr 17;8:e60959. doi: 10.2196/60959.

Abstract

BACKGROUND

Quality of vision in patients with idiopathic epiretinal membranes (iERMs) is closely linked to distorted vision (metamorphopsia), which is often underestimated in clinical settings. Current surgical decision-making relies heavily on visual acuity and optical coherence tomography findings, which do not adequately reflect the patient's functional vision or the severity of metamorphopsia. There is a clinical need for tools that can reliably quantify this symptom to improve patient outcomes and streamline care pathways.

OBJECTIVES

This study is the first to assess the use of a novel smartphone-based hyperacuity test (SHT) in quantifying metamorphopsia before and after surgical intervention for iERMs, comparing it with a conventional printed chart.

METHODS

This prospective observational study included 27 patients with iERMs with symptomatic metamorphopsia detected on the Amsler grid scheduled for vitrectomy with membrane peeling. The SHT (Alleye, Oculocare Medical Inc) and the horizontal (MH) and vertical (MV) M-chart (Inami & Co, Ltd) tests were performed 3 times before and 3 months after surgery. Pre- and postoperative metamorphopsia scores, changes in distance-corrected visual acuity, optical coherence tomography biomarkers, and subjective perception of metamorphopsia were evaluated.

RESULTS

The mean SHT score significantly (r=0.686; P<.001) improved from 55.2 (SD 18.9) before surgery to 63.5 (SD 16.3) after surgery while the improvement of the M-chart scores were insignificant (MH r=0.37, P=.06; MV r=0.18, P=.36). Pre- and postoperative SHT scores showed very weak and insignificant correlations with the MH, MV, and MH+MV scores. Both metamorphopsia tests showed good reliability (intraclass correlation coefficients >0.75).

CONCLUSIONS

The SHT showed a significant improvement in postoperative metamorphopsia scores, indicating that it could be a valuable tool for quantifying visual distortion in patients with iERMs. While discrepancies with M-chart results were observed, both tests demonstrated good reliability. Clinically, the SHT may offer a practical solution for monitoring metamorphopsia and guiding complex surgical decision-making, particularly in telemedicine settings. Its accessibility could improve patient management, potentially enhancing preoperative triaging and reducing unnecessary visits.

摘要

背景

特发性视网膜前膜(iERM)患者的视觉质量与视力扭曲(视物变形症)密切相关,而在临床环境中,这种症状常常被低估。当前的手术决策严重依赖于视力和光学相干断层扫描结果,这些并不能充分反映患者的功能性视力或视物变形症的严重程度。临床上需要能够可靠地量化这种症状的工具,以改善患者预后并简化护理流程。

目的

本研究首次评估一种新型的基于智能手机的超敏锐度测试(SHT)在量化iERM手术干预前后视物变形症方面的应用,并将其与传统印刷图表进行比较。

方法

这项前瞻性观察性研究纳入了27例在阿姆斯勒方格上检测出有症状性视物变形症且计划进行玻璃体切除术联合膜剥除术的iERM患者。在手术前和手术后3个月分别进行3次SHT(Alleye,Oculocare Medical Inc)以及水平(MH)和垂直(MV)M图表(Inami & Co, Ltd)测试。评估术前和术后的视物变形症评分、矫正视力的变化、光学相干断层扫描生物标志物以及视物变形症的主观感受。

结果

平均SHT评分从手术前的55.2(标准差18.9)显著提高(r = 0.686;P <.001)至手术后的63.5(标准差16.3),而M图表评分的改善不显著(MH r = 0.37,P =.06;MV r = 0.18,P =.36)。术前和术后的SHT评分与MH、MV以及MH + MV评分之间显示出非常微弱且不显著的相关性。两种视物变形症测试均显示出良好的可靠性(组内相关系数> 0.75)。

结论

SHT显示术后视物变形症评分有显著改善,表明它可能是量化iERM患者视力扭曲的一种有价值的工具。虽然观察到与M图表结果存在差异,但两种测试均显示出良好的可靠性。临床上,SHT可能为监测视物变形症和指导复杂的手术决策提供一种实用的解决方案,特别是在远程医疗环境中。其可及性可以改善患者管理,有可能加强术前分诊并减少不必要的就诊。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb0b/12021372/8faf425dc908/periop-v8-e60959-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验