Correlation of limited-early-response status with 12-month CST, BVA, and machine learning-quantified retinal fluid in diabetic macular oedema in routine clinical practice.

Journal: Eye (London, England)

PMID: 38890549

Abstract

BACKGROUND/OBJECTIVES: Anti-VEGF treatment response in DMO has been measured by changes in the central subfield thickness (CST) and best visual acuity (BVA) outcomes at 3 months after initial treatment, termed early or limited early response (ER/LER). This study correlates LER with 12-month BVA, CST, and retinal fluid volumes quantified by a machine learning algorithm on optical coherence tomography (OCT).

Authors

Resya C Sastry

Center for Ophthalmic Bioinformatics, Cole Eye Institute, Cleveland Clinic, Cleveland, OH, USA.
Scott W Perkins
Aneesha Kalur

Center for Ophthalmic Bioinformatics, Cole Eye Institute, Cleveland Clinic, Cleveland, OH, USA.
Rishi P Singh

Cole Eye Institute, Cleveland Clinic, Cleveland, OH, USA.

Keywords

Aged Angiogenesis Inhibitors Bevacizumab Diabetic Retinopathy Female Humans Intravitreal Injections Machine Learning Macular Edema Male Middle Aged Ranibizumab Retrospective Studies Subretinal Fluid Tomography, Optical Coherence Vascular Endothelial Growth Factor A Visual Acuity

External Resources

View on PubMed Access via DOI PubMed (38890549)

Correlation of limited-early-response status with 12-month CST, BVA, and machine learning-quantified retinal fluid in diabetic macular oedema in routine clinical practice.

Abstract

Authors

Keywords

External Resources

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