Diabetic retinopathy (DR) is a significant complication of diabetes mellitus (DM) that poses a risk of irreversible vision loss and blindness. Alongside diabetic macular edema (DME), these conditions are major contributors to visual impairment in diabetic patients. Traditionally, various imaging modalities, both invasive and non-invasive, have been employed to diagnose DR and DME. However, the introduction of optical coherence tomography angiography (OCTA) has revolutionized retinal vascular imaging by providing a novel, depth-resolved, non-invasive technique. This advancement has significantly expanded our understanding of retinal microvasculature in both ischemic and non-ischemic ocular diseases. Despite these advancements, the full potential and implications of OCTA in routine clinical practice for DM patients remain underexplored. Current research highlights the need for a deeper investigation into the practical applications of OCTA, particularly in the context of DR and DME, to enhance diagnostic and management strategies.
This research topic aims to compile a comprehensive and authoritative collection of papers on the role of OCTA in detecting and monitoring ocular complications associated with diabetes mellitus. The objective is to explore the novel applications of this non-invasive imaging modality in the management of patients with DR and DME. Specific questions to be addressed include the efficacy of OCTA in routine screening, its role in staging DR, and its potential in improving treatment outcomes for DME. Additionally, the research will investigate the integration of artificial intelligence in interpreting OCTA images to enhance diagnostic accuracy and prognostic assessments.
To gather further insights into the applications of OCTA in ocular complications of diabetes mellitus, we welcome articles addressing, but not limited to, the following themes:
- OCTA for screening of DR
- Staging of DR based on OCTA findings
- Role of artificial intelligence in the interpretation of OCTA images
- Prognosis of DME treatment based on OCTA findings
Diabetic retinopathy (DR) is a significant complication of diabetes mellitus (DM) that poses a risk of irreversible vision loss and blindness. Alongside diabetic macular edema (DME), these conditions are major contributors to visual impairment in diabetic patients. Traditionally, various imaging modalities, both invasive and non-invasive, have been employed to diagnose DR and DME. However, the introduction of optical coherence tomography angiography (OCTA) has revolutionized retinal vascular imaging by providing a novel, depth-resolved, non-invasive technique. This advancement has significantly expanded our understanding of retinal microvasculature in both ischemic and non-ischemic ocular diseases. Despite these advancements, the full potential and implications of OCTA in routine clinical practice for DM patients remain underexplored. Current research highlights the need for a deeper investigation into the practical applications of OCTA, particularly in the context of DR and DME, to enhance diagnostic and management strategies.
This research topic aims to compile a comprehensive and authoritative collection of papers on the role of OCTA in detecting and monitoring ocular complications associated with diabetes mellitus. The objective is to explore the novel applications of this non-invasive imaging modality in the management of patients with DR and DME. Specific questions to be addressed include the efficacy of OCTA in routine screening, its role in staging DR, and its potential in improving treatment outcomes for DME. Additionally, the research will investigate the integration of artificial intelligence in interpreting OCTA images to enhance diagnostic accuracy and prognostic assessments.
To gather further insights into the applications of OCTA in ocular complications of diabetes mellitus, we welcome articles addressing, but not limited to, the following themes:
- OCTA for screening of DR
- Staging of DR based on OCTA findings
- Role of artificial intelligence in the interpretation of OCTA images
- Prognosis of DME treatment based on OCTA findings