{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T12:17:46Z","timestamp":1774959466210,"version":"3.50.1"},"reference-count":38,"publisher":"Wiley","issue":"12","license":[{"start":{"date-parts":[[2013,12,1]],"date-time":"2013-12-01T00:00:00Z","timestamp":1385856000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2013,12,1]],"date-time":"2013-12-01T00:00:00Z","timestamp":1385856000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100000053","name":"National Eye Institute","doi-asserted-by":"publisher","award":["EY19674"],"award-info":[{"award-number":["EY19674"]}],"id":[{"id":"10.13039\/100000053","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["OVS"],"published-print":{"date-parts":[[2013,12]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To determine which of three estimates of retinal nerve fiber layer thickness (RNFLT) correlate best with visual field sensitivity measured using standard automated perimetry (SAP).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Data were collected from 400 eyes of 209 participants enrolled in the Portland Progression Project. These individuals ranged from high\u2010risk suspects to having non\u2013end\u2010stage glaucoma. In each eye, three measures of average RNFLT (spectral domain optical coherence tomography [SDOCT], scanning laser polarimetry [SLP], confocal scanning laser tomography [CSLT]) and SAP (Humphrey HFAII) were performed on the same day. Mean deviation (MD), mean sensitivity (MS), and pattern standard deviation (PSD) were linearized using the equations MD\n                      <jats:sub>Lin<\/jats:sub>\n                      = 10\n                      <jats:sup>(MD*0.1)<\/jats:sup>\n                      , MS\n                      <jats:sub>Lin<\/jats:sub>\n                      = 10\n                      <jats:sup>(MS*0.1)<\/jats:sup>\n                      , and PSD\n                      <jats:sub>Lin<\/jats:sub>\n                      = 10\n                      <jats:sup>(PSD*\u22120.1)<\/jats:sup>\n                      . Correlations between each of the estimates of RNFLT and each of the functional metrics were calculated (nine total). Pearson correlations and generalized estimating equations (GEE) were used to calculate the strength and significance of the correlations.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Linearized MS had the strongest correlation with SDOCT (r = 0.57), intermediate with SLP (r = 0.40), and weakest with CSLT (r = 0.13). When multiple RNFLT measures were included in a GEE model to predict MS\n                      <jats:sub>Lin<\/jats:sub>\n                      , SDOCT was consistently predictive (p &lt; 0.001) whereas CSLT was never predictive in these multivariate models. Similar findings were observed for MD\n                      <jats:sub>Lin<\/jats:sub>\n                      and PSD\n                      <jats:sub>Lin<\/jats:sub>\n                      .\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Average RNFLT estimated from SDOCT predicts SAP status significantly better than average RNFLT estimated from SLP or CSLT.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1097\/opx.0000000000000078","type":"journal-article","created":{"date-parts":[[2013,10,11]],"date-time":"2013-10-11T18:38:19Z","timestamp":1381516699000},"page":"1353-1360","source":"Crossref","is-referenced-by-count":3,"title":["Correlating Perimetric Indices with Three Nerve Fiber Layer Thickness Measures"],"prefix":"10.1002","volume":"90","author":[{"given":"Deborah","family":"Goren","sequence":"first","affiliation":[{"name":"Devers Eye Institute Legacy Research Institute Portland Oregon"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaban","family":"Demirel","sequence":"additional","affiliation":[{"name":"Devers Eye Institute Legacy Research Institute Portland Oregon"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brad","family":"Fortune","sequence":"additional","affiliation":[{"name":"Devers Eye Institute Legacy Research Institute Portland Oregon"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stuart K.","family":"Gardiner","sequence":"additional","affiliation":[{"name":"Devers Eye Institute Legacy Research Institute Portland Oregon"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2013,12,1]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/0002-9394(89)90006-8","article-title":"Test\u2010retest variability in glaucomatous visual fields","volume":"108","author":"Heijl A","year":"1989","journal-title":"Am J Ophthalmol"},{"key":"e_1_2_7_3_1","doi-asserted-by":"crossref","first-page":"1544","DOI":"10.1001\/archopht.1987.01060110090039","article-title":"Normal variability of static perimetric threshold values across the central visual field","volume":"105","author":"Heijl A","year":"1987","journal-title":"Arch Ophthalmol"},{"key":"e_1_2_7_4_1","doi-asserted-by":"crossref","first-page":"2127","DOI":"10.1016\/j.ophtha.2008.08.013","article-title":"Assessment of patient opinions of different clinical tests used in the management of glaucoma","volume":"115","author":"Gardiner SK","year":"2008","journal-title":"Ophthalmology"},{"key":"e_1_2_7_5_1","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1097\/OPX.0b013e31817841b5","article-title":"Prentice Award Lecture 2006: a neuron doctrine for glaucoma","volume":"85","author":"Harwerth RS","year":"2008","journal-title":"Optom Vis Sci"},{"key":"e_1_2_7_6_1","doi-asserted-by":"crossref","first-page":"4254","DOI":"10.1167\/iovs.08-2697","article-title":"A test of a linear model of glaucomatous structure\u2010function loss reveals sources of variability in retinal nerve fiber and visual field measurements","volume":"50","author":"Hood DC","year":"2009","journal-title":"Invest Ophthalmol Vis Sci"},{"key":"e_1_2_7_7_1","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1136\/bjo.2008.145540","article-title":"Imaging of the retinal nerve fibre layer for glaucoma","volume":"93","author":"Townsend KA","year":"2009","journal-title":"Br J Ophthalmol"},{"key":"e_1_2_7_8_1","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1001\/archopht.1990.01070060105058","article-title":"Histopathologic validation of Fourier\u2010ellipsometry measurements of retinal nerve fiber layer thickness","volume":"108","author":"Weinreb RN","year":"1990","journal-title":"Arch Ophthalmol"},{"key":"e_1_2_7_9_1","doi-asserted-by":"crossref","first-page":"3073","DOI":"10.1167\/iovs.04-0110","article-title":"Variation of peripapillary retinal nerve fiber layer birefringence in normal human subjects","volume":"45","author":"Huang XR","year":"2004","journal-title":"Invest Ophthalmol Vis Sci"},{"key":"e_1_2_7_10_1","doi-asserted-by":"crossref","first-page":"4588","DOI":"10.1167\/iovs.05-0532","article-title":"Microtubules contribute to the birefringence of the retinal nerve fiber layer","volume":"46","author":"Huang XR","year":"2005","journal-title":"Invest Ophthalmol Vis Sci"},{"key":"e_1_2_7_11_1","unstructured":"Carl Zeiss Meditech I.Chapter 2: Principles of Scanning Laser Polarimetry. 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