AI Article Synopsis

  • The study analyzes how macular atrophy patterns can help differentiate between chiasmal compression and glaucoma, as visual field loss patterns are important for diagnosing vision pathologies.
  • Researchers examined OCT images of patients with chiasmal compression, primary open-angle glaucoma (POAG), and healthy individuals to calculate the macular naso-temporal ratio (mNTR) for diagnostic purposes.
  • Findings showed that the mNTR significantly differed between POAG and chiasmal compression cases, with high accuracy in distinguishing the two conditions, suggesting mNTR can enhance earlier diagnosis when integrated into OCT technology.

Article Abstract

Background/aims: The analysis of visual field loss patterns is clinically useful to guide differential diagnosis of visual pathway pathology. This study investigates whether a novel index of macular atrophy patterns can discriminate between chiasmal compression and glaucoma.

Methods: A retrospective series of patients with preoperative chiasmal compression, primary open-angle glaucoma (POAG) and healthy controls. Macular optical coherence tomography (OCT) images were analysed for the macular ganglion cell and inner plexiform layer (mGCIPL) thickness. The nasal hemi-macula was compared with the temporal hemi-macula to derive the macular naso-temporal ratio (mNTR). Differences between groups and diagnostic accuracy were explored with multivariable linear regression and the area under the receiver operating characteristic curve (AUC).

Results: We included 111 individuals (31 with chiasmal compression, 30 with POAG and 50 healthy controls). Compared with healthy controls, the mNTR was significantly greater in POAG cases (β=0.07, 95% CI 0.03 to 0.11, p=0.001) and lower in chiasmal compression cases (β=-0.12, 95% CI -0.16 to -0.09, p<0.001), even though overall mGCIPL thickness did not discriminate between these pathologies (p=0.36). The mNTR distinguished POAG from chiasmal compression with an AUC of 95.3% (95% CI 90% to 100%). The AUCs when comparing healthy controls to POAG and chiasmal compression were 79.0% (95% CI 68% to 90%) and 89.0% (95% CI 80% to 98%), respectively.

Conclusions: The mNTR can distinguish between chiasmal compression and POAG with high discrimination. This ratio may provide utility over-and-above previously reported sectoral thinning metrics. Incorporation of mNTR into the output of OCT instruments may aid earlier diagnosis of chiasmal compression.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11137440PMC
http://dx.doi.org/10.1136/bjo-2023-323529DOI Listing

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