Phenotype-driven management of diabetic macular edema: multimodal imaging biomarkers and individualized therapy - Scorecard - MDSpire

Phenotype-driven management of diabetic macular edema: multimodal imaging biomarkers and individualized therapy

  • By

  • Zichao You

  • Li Jiang

  • Ying-rui Liu

  • Ming Ming Yang

  • June 23, 2026

  • 0 min

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Clinical Scorecard: Individualized Treatment Approaches for Diabetic Macular Edema: Utilizing Multimodal Imaging Biomarkers for Phenotype-Based Management

At a Glance

CategoryDetail
ConditionDiabetic Macular Edema (DME)
Key MechanismsPathophysiological variability including breach of the blood-retinal barrier, chronic inflammatory activation, neurodegenerative processes, and vitreomacular traction.
Target PopulationPatients with diabetes mellitus experiencing visual impairment due to DME.
Care SettingClinical settings utilizing multimodal retinal imaging for diagnosis and management.

Key Highlights

  • Intravitreal anti-VEGF therapies are the first-line intervention for DME.
  • 30-50% of patients show inadequate responses to anti-VEGF treatment.
  • Multimodal imaging aids in characterizing retinal changes and identifying biomarkers.
  • DME can be classified into five clinical phenotypes based on imaging biomarkers.
  • Future advancements may enhance precision in DME phenotyping.

Guideline-Based Recommendations

Diagnosis

  • Utilize multimodal imaging techniques such as OCT, OCTA, and UWF-FA for comprehensive assessment.

Management

  • Implement phenotype-based classification to align therapeutic approaches with underlying mechanisms.

Monitoring & Follow-up

  • Regularly assess disease activity and visual prognosis using established imaging biomarkers.

Risks

  • Inadequate treatment responses may lead to ongoing visual impairment and increased healthcare costs.

Patient & Prescribing Data

Individuals with diabetic macular edema.

Consider alternative therapeutic options for patients with inadequate responses to standard anti-VEGF therapy.

Clinical Best Practices

  • Incorporate imaging biomarkers into treatment decision-making.
  • Adopt a dynamic optimization approach for therapy based on ongoing assessment of disease activity.

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