Consensus Definition for Atrophy Associated with Age-Related Macular Degeneration on OCT: Classification of Atrophy Report 3.

PURPOSE To develop consensus terminology and criteria for defining atrophy based on OCT findings in the setting of age-related macular degeneration (AMD). DESIGN Consensus meeting. PARTICIPANTS Panel of retina specialists, image reading center experts, retinal histologists, and optics engineers. METHODS As part of the Classification of Atrophy Meetings (CAM) program, an international group of experts surveyed the existing literature, performed a masked analysis of longitudinal multimodal imaging for a series of eyes with AMD, and reviewed the results of this analysis to define areas of agreement and disagreement. Through consensus discussions at 3 meetings over 12 months, a classification system based on OCT was proposed for atrophy secondary to AMD. Specific criteria were defined to establish the presence of atrophy. MAIN OUTCOME MEASURES A consensus classification system for atrophy and OCT-based criteria to identify atrophy. RESULTS OCT was proposed as the reference standard or base imaging method to diagnose and stage atrophy. Other methods, including fundus autofluorescence, near-infrared reflectance, and color imaging, provided complementary and confirmatory information. Recognizing that photoreceptor atrophy can occur without retinal pigment epithelium (RPE) atrophy and that atrophy can undergo an evolution of different stages, 4 terms and histologic candidates were proposed: complete RPE and outer retinal atrophy (cRORA), incomplete RPE and outer retinal atrophy, complete outer retinal atrophy, and incomplete outer retinal atrophy. Specific OCT criteria to diagnose cRORA were proposed: (1) a region of hypertransmission of at least 250 μm in diameter, (2) a zone of attenuation or disruption of the RPE of at least 250 μm in diameter, (3) evidence of overlying photoreceptor degeneration, and (4) absence of scrolled RPE or other signs of an RPE tear. CONCLUSIONS A classification system and criteria for OCT-defined atrophy in the setting of AMD has been proposed based on an international consensus. This classification is a more complete representation of changes that occur in AMD than can be detected using color fundus photography alone. Longitudinal information is required to validate the implied risk of vision loss associated with these terms. This system will enable such future studies to be undertaken using consistent definitions.

[1]  The Evolution of the Plateau, an Optical Coherence Tomography Signature Seen in Geographic Atrophy , 2017, Investigative ophthalmology & visual science.

[2]  Glenn J Jaffe,et al.  Natural History of Geographic Atrophy Progression Secondary to Age-Related Macular Degeneration (Geographic Atrophy Progression Study). , 2016, Ophthalmology.

[3]  M. Killingsworth,et al.  Evolution of geographic atrophy of the retinal pigment epithelium , 1988, Eye.

[4]  R. Spaide OUTER RETINAL ATROPHY AFTER REGRESSION OF SUBRETINAL DRUSENOID DEPOSITS AS A NEWLY RECOGNIZED FORM OF LATE AGE-RELATED MACULAR DEGENERATION , 2013, Retina.

[5]  C. Curcio,et al.  Outer retinal corrugations in age-related macular degeneration. , 2014, JAMA ophthalmology.

[6]  S. Sadda,et al.  Proposed lexicon for anatomic landmarks in normal posterior segment spectral-domain optical coherence tomography: the IN•OCT consensus. , 2014, Ophthalmology.

[7]  Giovanni Staurenghi,et al.  GEOGRAPHIC ATROPHY: Semantic Considerations and Literature Review , 2016, Retina.

[8]  F. Holz,et al.  Green-Light Autofluorescence Versus Combined Blue-Light Autofluorescence and Near-Infrared Reflectance Imaging in Geographic Atrophy Secondary to Age-Related Macular Degeneration. , 2017, Investigative ophthalmology & visual science.

[9]  P T de Jong,et al.  An international classification and grading system for age-related maculopathy and age-related macular degeneration , 1995 .

[10]  E. Pilotto,et al.  Microperimetry Features of Geographic Atrophy Identified With En Face Optical Coherence Tomography. , 2016, JAMA ophthalmology.

[11]  J S Sunness,et al.  Measuring geographic atrophy in advanced age-related macular degeneration. , 1999, Investigative ophthalmology & visual science.

[12]  W R Green,et al.  Age-related Macular Degeneration Histopathologic Studies: The 1992 Lorenz E. Zimmerman Lecture , 1993, Ophthalmology.

[13]  Steffen Schmitz-Valckenberg,et al.  Geographic atrophy: clinical features and potential therapeutic approaches. , 2014, Ophthalmology.

[14]  William J Feuer,et al.  Anatomic Clinical Trial Endpoints for Nonexudative Age-Related Macular Degeneration. , 2016, Ophthalmology.

[15]  G. Ying,et al.  Incidence and Growth of Geographic Atrophy during 5 Years of Comparison of Age-Related Macular Degeneration Treatments Trials. , 2017, Ophthalmology.

[16]  Giovanni Gregori,et al.  En Face Optical Coherence Tomography Imaging for the Detection of Nascent Geographic Atrophy. , 2017, American journal of ophthalmology.

[17]  Steffen Schmitz-Valckenberg,et al.  High-resolution spectral domain-OCT imaging in geographic atrophy associated with age-related macular degeneration. , 2008, Investigative ophthalmology & visual science.

[18]  S. Sarks Senile choroidal sclerosis. , 1973, British Journal of Ophthalmology.

[19]  S. Sadda,et al.  Macular Atrophy in Neovascular Age-Related Macular Degeneration with Monthly versus Treat-and-Extend Ranibizumab: Findings from the TREX-AMD Trial. , 2017, Ophthalmology.

[20]  P. Rosenfeld,et al.  Comparison of Geographic Atrophy Growth Rates Using Different Imaging Modalities in the COMPLETE Study. , 2015, Ophthalmic Surgery Lasers and Imaging Retina.

[21]  C. Curcio,et al.  SUBRETINAL DRUSENOID DEPOSITS IN NON-NEOVASCULAR AGE-RELATED MACULAR DEGENERATION: Morphology, Prevalence, Topography, and Biogenesis Model , 2013, Retina.

[22]  Usha Chakravarthy,et al.  Clinical classification of age-related macular degeneration. , 2013, Ophthalmology.

[23]  Glenn J Jaffe,et al.  Semiautomated image processing method for identification and quantification of geographic atrophy in age-related macular degeneration. , 2011, Investigative ophthalmology & visual science.

[24]  F. Ferris,et al.  Report from the NEI/FDA Ophthalmic Clinical Trial Design and Endpoints Symposium. , 2008, Investigative ophthalmology & visual science.

[25]  R. Klein,et al.  The Wisconsin age-related maculopathy grading system. , 1991, Ophthalmology.

[26]  Maria Adler,et al.  Stereoscopic Atlas Of Macular Diseases , 2016 .

[27]  S. Wolf,et al.  Blue-light versus green-light autofluorescence: lesion size of areas of geographic atrophy. , 2011, Investigative ophthalmology & visual science.

[28]  Thomas Ach,et al.  The Project MACULA Retinal Pigment Epithelium Grading System for Histology and Optical Coherence Tomography in Age-Related Macular Degeneration. , 2015, Investigative ophthalmology & visual science.

[29]  Zhihong Hu,et al.  Segmentation of the geographic atrophy in spectral-domain optical coherence tomography and fundus autofluorescence images. , 2013, Investigative ophthalmology & visual science.

[30]  William J Feuer,et al.  Spectral domain optical coherence tomographic imaging of geographic atrophy. , 2008, Ophthalmic surgery, lasers & imaging : the official journal of the International Society for Imaging in the Eye.

[31]  B. Klien The Heredodegeneration of the Macula Lutea*: Diagnostic and Differential Diagnostic Considerations and A Histopathologic Report , 1950 .

[32]  Amitha Domalpally,et al.  Methods and reproducibility of grading optimized digital color fundus photographs in the Age-Related Eye Disease Study 2 (AREDS2 Report Number 2). , 2013, Investigative ophthalmology & visual science.

[33]  B. Lujan,et al.  Progression of geographic atrophy in age-related macular degeneration imaged with spectral domain optical coherence tomography. , 2011, Ophthalmology.

[34]  Lauren N Ayton,et al.  Optical coherence tomography-defined changes preceding the development of drusen-associated atrophy in age-related macular degeneration. , 2014, Ophthalmology.

[35]  J. J. Wang,et al.  Prevalence of age-related maculopathy in Australia. The Blue Mountains Eye Study. , 1995, Ophthalmology.

[36]  John C. Hwang,et al.  Predictive value of fundus autofluorescence for development of geographic atrophy in age-related macular degeneration. , 2006, Investigative ophthalmology & visual science.

[37]  R. Tadayoni,et al.  Predictive Value of Outer Retina En Face OCT Imaging for Geographic Atrophy Progression. , 2015, Investigative ophthalmology & visual science.

[38]  Glenn J Jaffe,et al.  Imaging Protocols in Clinical Studies in Advanced Age-Related Macular Degeneration: Recommendations from Classification of Atrophy Consensus Meetings. , 2017, Ophthalmology.

[39]  U. Schmidt-Erfurth,et al.  Randomized Trial to Evaluate Tandospirone in Geographic Atrophy Secondary to Age-Related Macular Degeneration: The GATE Study. , 2015, American journal of ophthalmology.

[40]  Wayne T. A. Enanoria,et al.  Macular atrophy progression and 7-year vision outcomes in subjects from the ANCHOR, MARINA, and HORIZON studies: the SEVEN-UP study. , 2015, American journal of ophthalmology-glaucoma.

[41]  Steffen Schmitz-Valckenberg,et al.  Evaluation of autofluorescence imaging with the scanning laser ophthalmoscope and the fundus camera in age-related geographic atrophy. , 2008, American journal of ophthalmology.

[42]  F W Fitzke,et al.  Distribution of fundus autofluorescence with a scanning laser ophthalmoscope. , 1995, The British journal of ophthalmology.

[43]  Glenn J Jaffe,et al.  Growth of geographic atrophy in the comparison of age-related macular degeneration treatments trials. , 2015, Ophthalmology.

[44]  R. Fimmers,et al.  Directional Kinetics of Geographic Atrophy Progression in Age-Related Macular Degeneration with Foveal Sparing. , 2013, Ophthalmology.

[45]  C. Luu,et al.  Subthreshold Nanosecond Laser Intervention in Intermediate Age-Related Macular Degeneration: Study Design and Baseline Characteristics of the Laser in Early Stages of Age-Related Macular Degeneration Study (Report Number 1). , 2017, Ophthalmology. Retina.