Retrospective cohort research found that an AI-driven automated optical coherence tomography angiography (OCTA) review system accurately predicted the development of diabetic macular ischemia (DMI) by more than 90%.
At baseline, the DMI of the superficial capillary plexus more than quadrupled, and the DMI of the deep capillary plexus more than tripled the risk of diabetic retinopathy (DR) development. Additionally, a substantially higher risk of diabetic macular edema (DME) and loss of visual acuity (VA) was predicted by baseline evidence of deep capillary plexus DMI.
The results indicate that optical coherence tomography angiography (OCTA)-based evaluation of DMI may enhance assessing a patient’s risk of DR progression, DME formation, and VA worsening beyond conventional risk variables and merit consideration for use in clinical practice.
According to the authors, the study has three significant implications for diagnosing and treating diabetic eye illness. Initially, it offers a basis for reevaluating the classification of early DR stages to include measurements of subclinical impairment in capillary perfusion. Second, it provides strong evidence that optical coherence tomography angiography (OCTA) should be used as a standard care platform for assessing early ischemic retinal damage, at least in diabetic individuals. Thirdly, it illustrates how a potent combination of simple AI techniques and highly sensitive noninvasive imaging indicators may offer useful clinically meaningful prognostic information concerning DR.
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