Imaging of the optic nerve: technological advances and future prospects

Biousse, Valérie; Danesh‐Meyer, Helen V.; Saindane, Amit M.; Lamirel, C.; Newman, Nancy J.

doi:10.1016/s1474-4422(22)00173-9

Cited by 44 publications

(25 citation statements)

References 98 publications

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“…These referrals are likely to increase with the rising incidence of obesity and IIH, and the ever-growing ease and accessibility of brain imaging in headache patients. Papilledema can be ruled-out by any eye-care provider with the help of standard ocular imaging, including ocular fundus photography and optical coherence tomography (43). Most patients referred for incidentally discovered RAD-IH do not have papilledema and are not ultimately diagnosed with IIH.…”

Section: Discussionmentioning

confidence: 99%

Presumptive Idiopathic Intracranial Hypertension Based on Neuroimaging Findings: A Referral Pattern Study

Aung

Chen²,

Wicks³

et al. 2022

Journal of Neuro-Ophthalmology

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Section: Discussionmentioning

confidence: 99%

Presumptive Idiopathic Intracranial Hypertension Based on Neuroimaging Findings: A Referral Pattern Study

Aung

Chen²,

Wicks³

et al. 2022

Journal of Neuro-Ophthalmology

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“…The OCT measurements obtained in each eye are automatically compared with the device-incorporated normative database. 16 The normative database provides data from age-matched controls for easy clinical interpretation: The patient's thickness values are presented as absolute numerical values and color-coded based on the distribution of normal values in the database. Given differences in the normative database and proprietary software of different manufacturers, we recommend using the same machine for monitoring patients during follow-up visits.…”

Section: Optical Coherence Tomographymentioning

confidence: 99%

“…These changes can be detected through OCT imaging as decreased values (ie, thinning) of mGCIPL and pRNFL layer thicknesses as early as 3 to 4 and 4 to 6 weeks after the axonal injury, respectively. 7,16 Table 2 provides a summary of studies which measured optic nerve and macular structural OCT changes in patients with chiasmal compression mostly from pituitary adenomas but also craniopharyngiomas, meningiomas, and other parasellar masses. The most common abnormality on OCT imaging was thinning of the pRNFL on optic nerve scanning.…”

Section: Oct As a Diagnostic Tool For Chiasmal And Optic Nerve Compre...mentioning

confidence: 99%

“…31 These macular changes, which are easily seen on OCT printouts, are very useful to detect clinically significant chiasmal compression and, unlike VF testing, are independent of a patient's cooperation and represent objective proof of RGC damage. 16 In current clinical practice, standard neuro-ophthalmologic evaluation of all patients with sellar and parasellar masses include SD-OCT imaging of the optic nerve and macula. Through serial measurements, OCT imaging can detect progressive thinning of pRNFL and mGCIPL, which is useful in guiding management strategies.…”

Section: Oct As a Diagnostic Tool For Chiasmal And Optic Nerve Compre...mentioning

confidence: 99%

“…Examples of normal FD-OCT reports and a guide for interpretation of these reports are shown in Supplemental Digital Content 1, http://links.lww.com/ NEU/D403, and Supplementary Materials of references 16 and 17. 16,17 Examples of abnormal FD-OCT reports with thinning of the pRNFL and mGCIPL from compression of the optic chiasm are shown in Figures 2-4.…”

Section: Optical Coherence Tomographymentioning

confidence: 99%

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Ocular Optical Coherence Tomography in the Evaluation of Sellar and Parasellar Masses: A Review

et al. 2022

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Compression of the anterior visual pathways by sellar and parasellar masses can produce irreversible and devastating visual loss. Optical coherence tomography (OCT) is a noninvasive high-resolution ocular imaging modality routinely used in ophthalmology clinics for qualitative and quantitative analysis of optic nerve and retinal structures, including the retinal ganglion cells. By demonstrating structural loss of the retinal ganglion cells whose axons form the optic nerve before decussating in the optic chiasm, OCT imaging of the optic nerve and retina provides an excellent tool for detection and monitoring of compressive optic neuropathies and chiasmopathies due to sellar and parasellar masses. Recent studies have highlighted the role of OCT imaging in the diagnosis, follow-up, and prognostication of the visual outcomes in patients with chiasmal compression. OCT parameters of optic nerve and macular scans such as peripapillary retinal nerve fiber layer thickness and macular ganglion cell thickness are correlated with the degree of visual loss; additionally, OCT can detect clinically significant optic nerve and chiasmal compression before visual field loss is revealed on automated perimetry. Preoperative values of OCT optic nerve and macular parameters represent a prognostic tool for postoperative visual outcome. This review provides a qualitative analysis of the current applications of OCT imaging of the retina and optic nerve in patients with anterior visual pathway compression from sellar and parasellar masses. We also review the role of new technologies such as OCT-angiography, which could improve the prognostic ability of OCT to predict postoperative visual function.

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Advancing systemic disease diagnosis through ophthalmic image‐based artificial intelligence

Miao,

Zou,

et al. 2024

MedComm – Future Medicine

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The eye serves as a unique window into systemic health, offering clinicians a valuable opportunity for early detection and targeted treatment. Against this backdrop, advancements in artificial intelligence (AI) and ophthalmic imaging are converging to pave the way for more precise and predictive diagnostics. This review aims to elucidate the transformative role of AI in utilizing ophthalmic imaging for the detection and prediction of systemic diseases. We begin by introducing the advantages of the eye as a valuable tool for detecting systemic diseases. We also provide an overview of various ophthalmic imaging techniques that have proven useful in predicting systemic ailments. Then, we summarize two research patterns for analyzing ocular data, followed by the introduction of current AI applications using ophthalmic images that significantly increase diagnostic precision. Despite the promise, challenges such as data heterogeneity and model interpretability persist, which are also covered in this review. We conclude by discussing future directions and the immense potential these AI‐enabled approaches hold for revolutionizing healthcare. As AI technologies advance, their potential integration with ophthalmic imaging offers promising avenues for improving the diagnosis, prediction, and management of various systemic diseases, thereby contributing to the evolving landscape of integrated healthcare.

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Imaging of the optic nerve: technological advances and future prospects

Cited by 44 publications

References 98 publications

Presumptive Idiopathic Intracranial Hypertension Based on Neuroimaging Findings: A Referral Pattern Study

Presumptive Idiopathic Intracranial Hypertension Based on Neuroimaging Findings: A Referral Pattern Study

Ocular Optical Coherence Tomography in the Evaluation of Sellar and Parasellar Masses: A Review

Advancing systemic disease diagnosis through ophthalmic image‐based artificial intelligence

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