title: Application of an OCT data-based mathematical model of the foveal pit in Parkinson disease.
abstract: Spectral-domain Optical coherence tomography (OCT) has shown remarkable utility in the study of retinal disease and has helped to characterize the fovea in Parkinson disease (PD) patients. We developed a detailed mathematical model based on raw OCT data to allow differentiation of foveae of PD patients from healthy controls. Of the various models we tested, a difference of a Gaussian and a polynomial was found to have "the best fit". Decision was based on mathematical evaluation of the fit of the model to the data of 45 control eyes versus 50 PD eyes. We compared the model parameters in the two groups using receiver-operating characteristics (ROC). A single parameter discriminated 70 % of PD eyes from controls, while using seven of the eight parameters of the model allowed 76 % to be discriminated. The future clinical utility of mathematical modeling in study of diffuse neurodegenerative conditions that also affect the fovea is discussed.
authors.affiliation: Department of Electrical and Computer Engineering, Polytechnic Institute of New York University, Brooklyn, NY, USA.
authors.forename: Yin
authors.initials: Y
authors.lastname: Ding
authors.forename: Brian
authors.initials: B
authors.lastname: Spund
authors.forename: Sofya
authors.initials: S
authors.lastname: Glazman
authors.forename: Eric M
authors.initials: EM
authors.lastname: Shrier
authors.forename: Shahnaz
authors.initials: S
authors.lastname: Miri
authors.forename: Ivan
authors.initials: I
authors.lastname: Selesnick
authors.forename: Ivan
authors.initials: I
authors.lastname: Bodis-Wollner
mesh_terms: D016208:Databases, Factual / Q000706:statistics & numerical data; D005260:Female; D005584:Fovea Centralis / Q000473:pathology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D008962:Models, Theoretical; D010300:Parkinson Disease / Q000473:pathology*; D012372:ROC Curve; D012160:Retina / Q000473:pathology*; D041623:Tomography, Optical Coherence / Q000379:methods* / Q000706:statistics & numerical data*
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