Acute Visual Loss Related to Retinal Vascular Occlusion Secondary to Visual Pathway Primary Glioblastoma

Muñoz-Cardona, Marta L; Llano-Naranjo, Yuliana; Londoño-Ocampo, Francisco; Preciado-Mesa, Esteban E; Restrepo, Feliza; García, Lina María; Pineda-Arrieta, Beatriz; Lopera-Marín, Beatriz; Reyes-Botero, Germán A

doi:10.1097/wno.0000000000000957

Cited by 1 publication

(2 citation statements)

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“…The ability to see art, nature, caregivers, and adequate ambient light has been shown to greatly improve end of life care as noted by a comprehensive review [25]. In contrast with previous reports of glioblastoma causing decreased visual acuity in patients with optic nerve gliomas [10], our study demonstrated that almost all nonoptic pathway glioblastoma patients fortunately had preserved central vision. In addition, our study result is similar to previous studies demonstrating an association between brain tumors in the temporal, parietal and occipital lobes with signi cant visual eld defects [26].…”

Section: Discussioncontrasting

confidence: 72%

“…A recent literature review reported that most neuro-ophthalmic sequelae in CNS neoplasms are associated with tumor location [8]. In cases of glioblastoma occurring as a malignant optic glioma, visual loss with or without pain was the predominant presenting concern [9][10][11]. However, for patients with cerebral glioblastoma, the impact on vision is less understood.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Predictive Model Utilizing Retinal Microstructural Features for Estimating Survival Outcome in Patients with Glioblastoma

Smith,

Sapkota,

Antony

et al. 2024

Preprint

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Glioblastoma is a highly aggressive brain tumor with poor prognosis despite surgery and chemoradiation. The visual sequelae of glioblastoma have not been well characterized. This study assessed visual outcomes in glioblastoma patients through neuro-ophthalmic exams, imaging of the retinal microstructures/microvasculature, and perimetry. A total of 19 patients (9 male, 10 female, average age at diagnosis 69 years) were enrolled. Best-corrected visual acuity ranged from 20/20–20/50. Occipital tumors showed worse visual fields than frontal tumors (mean deviation − 14.9 and − 0.23, respectively, p < 0.0001). Those with overall survival (OS) < 15 months demonstrated thinner retinal nerve fiber layer and ganglion cell complex (p < 0.0001) and enlarged foveal avascular zone starting from 4 months post-diagnosis (p = 0.006). There was no significant difference between eyes ipsilateral and contralateral to radiation fields (average doses were 1370 cGy and 1180 cGy, respectively, p = 0.42). A machine learning algorithm using retinal microstructure and visual fields predicted patients with long (≥ 15 months) progression-free and overall survival with 78% accuracy. Glioblastoma patients frequently present with visual field defects despite normal visual acuity. Patients with poor survival duration demonstrated significant retinal thinning and decreased microvascular density. A machine learning algorithm predicted survival; further validation is warranted.

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Section: Discussioncontrasting

confidence: 72%

Section: Introductionmentioning

confidence: 99%