Bruno Diniz1, Ramiro Ribeiro, Florian M Heussen, Mauricio Maia, Srinivas Sadda. 1. *Doheny Eye Institute, Los Angeles, California; †Department of Ophthalmology, Federal University of Sao Paulo, São Paulo, Brazil; ‡Department of Ophthalmology, Evangelical Hospital of Curitiba, Curitiba, Brazil; and §Department of Ophthalmology, Keck School of Medicine of the University of Southern California, Los Angeles, California.
Abstract
PURPOSE: To compare drusen measurements obtained from color fundus and infrared retromode photographs with those derived from spectral-domain optical coherence tomography. METHODS: Drusen lesions identified on the planar (color and infrared) imaging modalities were manually segmented by two independent graders using previously described reading center software to produce quantitative measurements of drusen area and number. The corresponding volume Cirrus OCT datasets were analyzed using commercial retinal pigment epithelium analysis algorithms to segment the retinal pigment epithelium band and estimated the drusen area. Drusen numbers were extracted from retinal pigment epithelium elevation maps. Intraclass correlation coefficients assessed agreement between graders; graders' average measurements were compared with optical coherence tomography (OCT) using paired T-tests. RESULTS: Excellent agreement between graders was observed (r = 0.951-0.974). No statistical difference was found in the area values obtained by color (0.85 ± 0.26 mm(2), P = 0.43) or retromode (1.15 ± 0.32 mm(2), P = 0.35) compared with those obtained by OCT (0.98 ± 0.28 mm). The number of drusen identified by OCT (13.15 ± 3.19) was significantly lower than that determined by manual segmentation of color (53.7 ± 13.18) and retromode (100.13 ± 16.18) images. CONCLUSION: Although the number of drusen individualized by commercial OCT algorithms is significantly lower than by planar fundus imaging modalities, the OCT-measured drusen area is not affected, suggesting that the algorithm counts confluent drusen as a single drusen.
PURPOSE: To compare drusen measurements obtained from color fundus and infrared retromode photographs with those derived from spectral-domain optical coherence tomography. METHODS: Drusen lesions identified on the planar (color and infrared) imaging modalities were manually segmented by two independent graders using previously described reading center software to produce quantitative measurements of drusen area and number. The corresponding volume Cirrus OCT datasets were analyzed using commercial retinal pigment epithelium analysis algorithms to segment the retinal pigment epithelium band and estimated the drusen area. Drusen numbers were extracted from retinal pigment epithelium elevation maps. Intraclass correlation coefficients assessed agreement between graders; graders' average measurements were compared with optical coherence tomography (OCT) using paired T-tests. RESULTS: Excellent agreement between graders was observed (r = 0.951-0.974). No statistical difference was found in the area values obtained by color (0.85 ± 0.26 mm(2), P = 0.43) or retromode (1.15 ± 0.32 mm(2), P = 0.35) compared with those obtained by OCT (0.98 ± 0.28 mm). The number of drusen identified by OCT (13.15 ± 3.19) was significantly lower than that determined by manual segmentation of color (53.7 ± 13.18) and retromode (100.13 ± 16.18) images. CONCLUSION: Although the number of drusen individualized by commercial OCT algorithms is significantly lower than by planar fundus imaging modalities, the OCT-measured drusen area is not affected, suggesting that the algorithm counts confluent drusen as a single drusen.
Authors: Giovanni Gregori; Zohar Yehoshua; Carlos Alexandre de Amorim Garcia Filho; SriniVas R Sadda; Renata Portella Nunes; William J Feuer; Philip J Rosenfeld Journal: Invest Ophthalmol Vis Sci Date: 2014-10-21 Impact factor: 4.799
Authors: Xiaoshuang Jiang; Mengxi Shen; Liang Wang; Luis de Sisternes; Mary K Durbin; William Feuer; Philip J Rosenfeld; Giovanni Gregori Journal: Transl Vis Sci Technol Date: 2021-04-01 Impact factor: 3.283
Authors: Ethan A Rossi; Nathaniel Norberg; Chiara Eandi; Celine Chaumette; Saloni Kapoor; Laura Le; Valerie C Snyder; Joseph N Martel; Josselin Gautier; Kiyoko Gocho; Kunal K Dansingani; Jay Chhablani; Angelo Arleo; Sarah Mrejen; José-Alain Sahel; Kate Grieve; Michel Paques Journal: Transl Vis Sci Technol Date: 2021-12-01 Impact factor: 3.048
Authors: Maximilian W M Wintergerst; Thomas Schultz; Johannes Birtel; Alexander K Schuster; Norbert Pfeiffer; Steffen Schmitz-Valckenberg; Frank G Holz; Robert P Finger Journal: Transl Vis Sci Technol Date: 2017-07-18 Impact factor: 3.283