METHODS, SYSTEMS, AND COMPUTER READABLE MEDIA FOR PREDICTING EARLY ONSET GLAUCOMA

摘要

Methods, systems, and computer readable media for predicting early onset glaucoma via structural parameters obtained via time and spectral-domain optical coherence tomography (SD-OCT) are disclosed. SD-OCT technology measures the thicknesses of the layers of the retina that contain the cells that die in glaucoma before there is any functional loss. A multivariable predictive model may be used for the diagnosis of early glaucoma using a combination of optic nerve head (ONH), peripapillary retinal nerve fiber layer (RNFL), and macular ganglion cell-inner plexiform layer (GCIPL) parameters measured via SD-OCT. The model generates a glaucoma probability score for individual patient, which is valuable information in assisting clinicians in glaucoma diagnosis and treatment.

主权项

1. A method of predicting early onset glaucoma, the method comprising:
obtaining a set of patient-specific structural parameters via Spectral Domain Optical Coherence Tomography (SD-OCT), the set of patient-specific structural parameters including Optic Nerve Head (ONH) parameters, peripapillary Retinal Nerve Fiber Layer (RNFL) parameters, and Ganglion Cell-Inner Plexiform Layer (GCIPL) parameters; generating a glaucoma probability score based upon the set of patient-specific parameters and a model dataset associated with plurality of patients; and treating a patient based upon the glaucoma probability score.