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视盘水肿的诊断:眼底特征、眼部影像学表现及人工智能

Diagnosis of Optic Disc Oedema: Fundus Features, Ocular Imaging Findings, and Artificial Intelligence.

作者信息

Bouthour Walid, Biousse Valérie, Newman Nancy J

机构信息

Department of Ophthalmology, Emory University School of Medicine, Atlanta, Georgia, USA.

Department of Neurology, Emory University School of Medicine, Atlanta, Georgia, USA.

出版信息

Neuroophthalmology. 2023 Feb 16;47(4):177-192. doi: 10.1080/01658107.2023.2176522. eCollection 2023.

DOI:10.1080/01658107.2023.2176522
PMID:37434667
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10332214/
Abstract

Optic disc swelling is a manifestation of a broad range of processes affecting the optic nerve head and/or the anterior segment of the optic nerve. Accurately diagnosing optic disc oedema, grading its severity, and recognising its cause, is crucial in order to treat patients in a timely manner and limit vision loss. Some ocular fundus features, in light of a patient's history and visual symptoms, may suggest a specific mechanism or aetiology of the visible disc oedema, but current criteria can at most enable an educated guess as to the most likely cause. In many cases only the clinical evolution and ancillary testing can inform the exact diagnosis. The development of ocular fundus imaging, including colour fundus photography, fluorescein angiography, optical coherence tomography, and multimodal imaging, has provided assistance in quantifying swelling, distinguishing true optic disc oedema from pseudo-optic disc oedema, and differentiating among the numerous causes of acute optic disc oedema. However, the diagnosis of disc oedema is often delayed or not made in busy emergency departments and outpatient neurology clinics. Indeed, most non-eye care providers are not able to accurately perform ocular fundus examination, increasing the risk of diagnostic errors in acute neurological settings. The implementation of non-mydriatic fundus photography and artificial intelligence technology in the diagnostic process addresses these important gaps in clinical practice.

摘要

视盘肿胀是一系列影响视神经乳头和/或视神经前段的过程的表现。准确诊断视盘水肿、评估其严重程度并识别其病因,对于及时治疗患者和限制视力丧失至关重要。根据患者的病史和视觉症状,一些眼底特征可能提示可见视盘水肿的特定机制或病因,但目前的标准最多只能对最可能的病因做出有根据的猜测。在许多情况下,只有临床进展和辅助检查才能明确诊断。眼底成像技术的发展,包括彩色眼底摄影、荧光素血管造影、光学相干断层扫描和多模态成像,在量化肿胀、区分真性视盘水肿和假性视盘水肿以及区分急性视盘水肿的众多病因方面提供了帮助。然而,在繁忙的急诊科和门诊神经科诊所,视盘水肿的诊断往往会延迟或无法做出。事实上,大多数非眼科护理人员无法准确进行眼底检查,这增加了急性神经科环境中诊断错误的风险。在诊断过程中实施免散瞳眼底摄影和人工智能技术解决了临床实践中的这些重要差距。