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dc.contributor.authorCai, Sophieen_US
dc.date.accessioned2015-07-13T19:44:07Z
dash.embargo.terms2016-05-01en_US
dc.date.created2015-05en_US
dc.date.issued2015-06-08en_US
dc.date.submitted2015en_US
dc.identifier.citationCai, Sophie. 2015. Clinical Correlates of Computationally Derived Visual Field Defect Archetypes in Patients From a Glaucoma Clinic. Doctoral dissertation, Harvard Medical School.en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:17295912
dc.description.abstractPurpose: Glaucoma diagnosis and monitoring would benefit from a quantitative visual field (VF) classification system like VF archetypal analysis, where Elze et al. showed that any VF can be represented as a weighted sum of 17 archetype (AT) patterns. We assessed the clinical construct validity of this system by testing for clinical correlates of VF ATs. Methods: From 30,995 reliable Humphrey VFs (24-2), 243 patients were retrospectively selected, comprising the 10 to 20 patients whose VFs had the highest decomposition coefficients for each AT. Corresponding patient systemic and ocular characteristics were obtained and compared between each AT and all others using the two-tailed t-test or Fisher exact test. Results: Mean deviation and pattern standard deviation varied with VF loss severity and focality respectively. Cup-to-disc ratio was more often ≥0.7 for AT6 (central island; P=0.002), AT14 (superior paracentral defect; P=0.016), and AT16 (inferior paracentral defect; P=0.016). Other associations included: AT6 (central island): African ancestry (P<0.001) and younger age (P<0.0001); AT13 (diffuse inferior defect): African ancestry (P=0.006) and chronic angle closure glaucoma (P=0.005); and AT16 (inferior paracentral defect): female sex (P=0.017). Conclusions: Several expected clinical associations support computationally derived VF ATs’ clinical construct validity. New associations identified by exploratory analysis may merit further investigation.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dash.licenseLAAen_US
dc.titleClinical Correlates of Computationally Derived Visual Field Defect Archetypes in Patients From a Glaucoma Clinicen_US
dc.typeThesis or Dissertationen_US
dash.depositing.authorCai, Sophieen_US
dc.date.available2016-05-02T07:31:19Z
thesis.degree.date2015en_US
thesis.degree.grantorHarvard Medical Schoolen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Medicineen_US
dc.type.materialtexten_US
dash.identifier.vireohttp://etds.lib.harvard.edu/hms/admin/view/232en_US
dc.description.keywordsglaucoma; archetype; visual field; statistical learningen_US
dash.author.emailscai.hms@gmail.comen_US
dash.identifier.drsurn-3:HUL.DRS.OBJECT:25170977en_US
dash.contributor.affiliatedCai, Sophie


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