PURPOSE: To quantify retinal photoreceptor density using adaptive optics (AO) imaging and correlate it with retinal tomography, fundus autofluorescence, and retinal sensitivity overlying lesions in various white dot syndromes (WDS). DESIGN: Prospective cross-sectional study. METHODS: setting: Stanley M. Truhlsen Eye Institute, University of Nebraska Medical Center, Omaha, Nebraska, USA. STUDY POPULATION: Thirty-five lesions of WDS from 12 patients (19 eyes; mean age: 54.4 ± 15.8 years; 9 female) were analyzed. INTERVENTION: Macular lesions (≤3 regions of interest/eye), at 2 fixed eccentric loci, were imaged using AO, spectral-domain optical coherence tomography, and fundus autofluorescence. In this study, lesions were defined as active if there was presence of hyperautofluorescence within the lesions. Photoreceptor density was calculated after manual correction and adjustment for axial length. Retinal sensitivity was assessed using microperimetry and correlated with photoreceptor density using Spearman rank correlation test. OUTCOME MEASURES: Mean retinal sensitivity and photoreceptor density at the WDS lesions. RESULTS: Mean photoreceptor density was 7331 ± 4628 cones/mm(2) overlying 16 active lesions and 6546 ± 3775 cones/mm(2) overlying 19 inactive lesions (P = .896). Mean retinal sensitivity (9.37 ± 5.34 dB) showed modest correlation with photoreceptor density (ρ = 0.42, P = .03). Retinal sensitivity over lesions with intact inner segment-outer segment (IS-OS) junction was 13.35 ± 3.75 dB and 6.33 ± 4.31 dB over lesions with disrupted IS-OS junction (P = .005). CONCLUSIONS: AO imaging may allow high-resolution analysis of photoreceptor loss among lesions in WDS. Such microstructural changes may correlate with functional loss.
PURPOSE: To quantify retinal photoreceptor density using adaptive optics (AO) imaging and correlate it with retinal tomography, fundus autofluorescence, and retinal sensitivity overlying lesions in various white dot syndromes (WDS). DESIGN: Prospective cross-sectional study. METHODS: setting: Stanley M. Truhlsen Eye Institute, University of Nebraska Medical Center, Omaha, Nebraska, USA. STUDY POPULATION: Thirty-five lesions of WDS from 12 patients (19 eyes; mean age: 54.4 ± 15.8 years; 9 female) were analyzed. INTERVENTION: Macular lesions (≤3 regions of interest/eye), at 2 fixed eccentric loci, were imaged using AO, spectral-domain optical coherence tomography, and fundus autofluorescence. In this study, lesions were defined as active if there was presence of hyperautofluorescence within the lesions. Photoreceptor density was calculated after manual correction and adjustment for axial length. Retinal sensitivity was assessed using microperimetry and correlated with photoreceptor density using Spearman rank correlation test. OUTCOME MEASURES: Mean retinal sensitivity and photoreceptor density at the WDS lesions. RESULTS: Mean photoreceptor density was 7331 ± 4628 cones/mm(2) overlying 16 active lesions and 6546 ± 3775 cones/mm(2) overlying 19 inactive lesions (P = .896). Mean retinal sensitivity (9.37 ± 5.34 dB) showed modest correlation with photoreceptor density (ρ = 0.42, P = .03). Retinal sensitivity over lesions with intact inner segment-outer segment (IS-OS) junction was 13.35 ± 3.75 dB and 6.33 ± 4.31 dB over lesions with disrupted IS-OS junction (P = .005). CONCLUSIONS: AO imaging may allow high-resolution analysis of photoreceptor loss among lesions in WDS. Such microstructural changes may correlate with functional loss.