Yu T Wang1, Mongkol Tadarati2, Yulia Wolfson3, Susan B Bressler3, Neil M Bressler4. 1. Johns Hopkins University School of Medicine, Baltimore, Maryland. 2. Retina Division, Department of Ophthalmology, Rajavithi Hospital, College of Medicine, Rangsit University, Bangkok, Thailand3Retina Division, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland. 3. Retina Division, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland. 4. Retina Division, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland4Editor, JAMA Ophthalmology.
Abstract
IMPORTANCE: Diagnosing diabetic macular edema (DME) from monocular fundus photography vs optical coherence tomography (OCT) central subfield thickness (CST) can yield different prevalence rates for DME. Epidemiologic studies and telemedicine screening typically use monocular fundus photography, while treatment of DME uses OCT CST. OBJECTIVE: To compare DME prevalence from monocular fundus photography and OCT. DESIGN, SETTING, AND PARTICIPANTS: Retrospective cross-sectional study of DME grading based on monocular fundus photographs and OCT images obtained from patients with diabetic retinopathy at a single visit between July 1, 2011, and June 30, 2014, at a university-based practice and analyzed between July 30, 2014, and May 29, 2015. Presence of DME, including clinically significant macular edema (CSME), on monocular fundus photographs used definitions from the Multi-Ethnic Study of Atherosclerosis (MESA) and the National Health and Nutrition Examination Survey (NHANES). Presence of DME on OCT used Diabetic Retinopathy Clinical Research Network eligibility criteria thresholds of CST for trials evaluating anti-vascular endothelial growth factor treatments. MAIN OUTCOMES AND MEASURES: Prevalence of DME based on monocular fundus photographs or OCT. RESULTS: A total of 246 eyes of 158 participants (mean [SD] age, 65.0 [11.9] years; 48.7% women; 60.8% white) were included. Among the 246 eyes, the prevalences of DME (61.4%) and CSME (48.5%) based on MESA definitions for monocular fundus photographs were greater than the DME prevalence based on OCT (21.1%) by 40.2% (95% CI, 32.8%-47.7%; P < .001) and 27.2% (95% CI, 19.2%-35.3%; P < .001), respectively. Using NHANES definitions, DME and CSME prevalences from monocular fundus photographs (28.5% and 21.0%, respectively) approximated the DME prevalence from OCT (21.1%). However, among eyes without DME on OCT, 58.2% (95% CI, 51.0%-65.3%) and 18.0% (95% CI, 12.9%-24.2%) were diagnosed as having DME on monocular fundus photographs using MESA and NHANES definitions, respectively, including 47.0% (95% CI, 39.7%-54.5%) and 10.3% (95% CI, 6.3%-15.7%), respectively, with CSME. Among eyes with DME on OCT, 26.9% (95% CI, 15.6%-41.0%) and 32.7% (95% CI, 20.3%-47.1%) were not diagnosed as having either DME or CSME on monocular fundus photographs using MESA and NHANES definitions, respectively. CONCLUSIONS AND RELEVANCE: These data suggest that many eyes diagnosed as having DME or CSME on monocular fundus photographs have no DME based on OCT CST, while many eyes diagnosed as not having DME or CSME on monocular fundus photographs have DME on OCT. While limited to 1 clinical practice, caution is suggested when extrapolating prevalence of eyes that may benefit from anti-vascular endothelial growth factor therapy based on epidemiologic surveys using photographs to diagnose DME.
IMPORTANCE: Diagnosing diabetic macular edema (DME) from monocular fundus photography vs optical coherence tomography (OCT) central subfield thickness (CST) can yield different prevalence rates for DME. Epidemiologic studies and telemedicine screening typically use monocular fundus photography, while treatment of DME uses OCT CST. OBJECTIVE: To compare DME prevalence from monocular fundus photography and OCT. DESIGN, SETTING, AND PARTICIPANTS: Retrospective cross-sectional study of DME grading based on monocular fundus photographs and OCT images obtained from patients with diabetic retinopathy at a single visit between July 1, 2011, and June 30, 2014, at a university-based practice and analyzed between July 30, 2014, and May 29, 2015. Presence of DME, including clinically significant macular edema (CSME), on monocular fundus photographs used definitions from the Multi-Ethnic Study of Atherosclerosis (MESA) and the National Health and Nutrition Examination Survey (NHANES). Presence of DME on OCT used Diabetic Retinopathy Clinical Research Network eligibility criteria thresholds of CST for trials evaluating anti-vascular endothelial growth factor treatments. MAIN OUTCOMES AND MEASURES: Prevalence of DME based on monocular fundus photographs or OCT. RESULTS: A total of 246 eyes of 158 participants (mean [SD] age, 65.0 [11.9] years; 48.7% women; 60.8% white) were included. Among the 246 eyes, the prevalences of DME (61.4%) and CSME (48.5%) based on MESA definitions for monocular fundus photographs were greater than the DME prevalence based on OCT (21.1%) by 40.2% (95% CI, 32.8%-47.7%; P < .001) and 27.2% (95% CI, 19.2%-35.3%; P < .001), respectively. Using NHANES definitions, DME and CSME prevalences from monocular fundus photographs (28.5% and 21.0%, respectively) approximated the DME prevalence from OCT (21.1%). However, among eyes without DME on OCT, 58.2% (95% CI, 51.0%-65.3%) and 18.0% (95% CI, 12.9%-24.2%) were diagnosed as having DME on monocular fundus photographs using MESA and NHANES definitions, respectively, including 47.0% (95% CI, 39.7%-54.5%) and 10.3% (95% CI, 6.3%-15.7%), respectively, with CSME. Among eyes with DME on OCT, 26.9% (95% CI, 15.6%-41.0%) and 32.7% (95% CI, 20.3%-47.1%) were not diagnosed as having either DME or CSME on monocular fundus photographs using MESA and NHANES definitions, respectively. CONCLUSIONS AND RELEVANCE: These data suggest that many eyes diagnosed as having DME or CSME on monocular fundus photographs have no DME based on OCT CST, while many eyes diagnosed as not having DME or CSME on monocular fundus photographs have DME on OCT. While limited to 1 clinical practice, caution is suggested when extrapolating prevalence of eyes that may benefit from anti-vascular endothelial growth factor therapy based on epidemiologic surveys using photographs to diagnose DME.
Authors: Mark B Horton; Christopher J Brady; Jerry Cavallerano; Michael Abramoff; Gail Barker; Michael F Chiang; Charlene H Crockett; Seema Garg; Peter Karth; Yao Liu; Clark D Newman; Siddarth Rathi; Veeral Sheth; Paolo Silva; Kristen Stebbins; Ingrid Zimmer-Galler Journal: Telemed J E Health Date: 2020-03-25 Impact factor: 3.536
Authors: Ou Tan; Aiyin Chen; Yan Li; Steven Bailey; Thomas S Hwang; Andreas K Lauer; Michael F Chiang; David Huang Journal: Exp Biol Med (Maywood) Date: 2021-09-15
Authors: David W Hutton; Adam R Glassman; Joshua D Stein; Neil M Bressler; Jennifer K Sun Journal: Am J Ophthalmol Date: 2021-03-10 Impact factor: 5.488
Authors: Guillaume Lemaître; Mojdeh Rastgoo; Joan Massich; Carol Y Cheung; Tien Y Wong; Ecosse Lamoureux; Dan Milea; Fabrice Mériaudeau; Désiré Sidibé Journal: J Ophthalmol Date: 2016-07-31 Impact factor: 1.909
Authors: Johanna M Colijn; Gabriëlle H S Buitendijk; Elena Prokofyeva; Dalila Alves; Maria L Cachulo; Anthony P Khawaja; Audrey Cougnard-Gregoire; Bénédicte M J Merle; Christina Korb; Maja G Erke; Alain Bron; Eleftherios Anastasopoulos; Magda A Meester-Smoor; Tatiana Segato; Stefano Piermarocchi; Paulus T V M de Jong; Johannes R Vingerling; Fotis Topouzis; Catherine Creuzot-Garcher; Geir Bertelsen; Norbert Pfeiffer; Astrid E Fletcher; Paul J Foster; Rufino Silva; Jean-François Korobelnik; Cécile Delcourt; Caroline C W Klaver Journal: Ophthalmology Date: 2017-07-14 Impact factor: 12.079
Authors: Michael Chaglasian; Murray Fingeret; Pinakin Gunvant Davey; Wei-Chieh Huang; Danny Leung; Edmund Ng; Charles A Reisman Journal: Clin Ophthalmol Date: 2018-05-07