Peripheral retinal degenerations: multimodal imaging–guided risk stratification and clinical decision-making
By
Siniša Babović
Nemanja Maletin
Nikola Denda
May 13, 2026
Clinical Scorecard: Risk Assessment and Clinical Management of Peripheral Retinal Degenerations: Insights from Multimodal Imaging Techniques
At a Glance
Category Detail
Condition Peripheral Retinal Degenerations (PRD)
Key Mechanisms Posterior vitreous detachment (PVD) as a key biomechanical event linking PRD with retinal tears (RT) and rhegmatogenous retinal detachment (RRD).
Target Population General population with peripheral retinal alterations, particularly those at risk for RT and RRD.
Care Setting Ophthalmology clinics utilizing advanced imaging techniques.
Key Highlights
PRD can be stratified into low, intermediate, and high-risk categories based on clinical and imaging features. PVD is crucial in the development of RT and RRD, especially during acute symptomatic stages. Selective prophylactic laser photocoagulation is recommended for symptomatic RT and confirmed tractional instability. Routine treatment of asymptomatic low-risk PRD is not justified. AI-assisted decision support may standardize risk interpretation in clinical practice.
Guideline-Based Recommendations
Diagnosis
Utilize multimodal imaging techniques such as ultra-widefield (UWF) imaging and swept-source OCT (SS-OCT) for assessment.
Management
Implement selective prophylactic interventions for high-risk lesions and symptomatic cases.
Monitoring & Follow-up
Regular observation for low-risk PRD without intervention.
Risks
Potential for retinal tears and detachment in high-risk PRD, particularly with PVD.
Patient & Prescribing Data
Patients with peripheral retinal degenerations, particularly those with symptomatic or high-risk features.
Intervention should be individualized based on imaging findings and clinical assessment.
Clinical Best Practices
Integrate clinical assessment with multimodal imaging for PRD management. Differentiate between benign and tractionally unstable lesions to guide treatment decisions. Utilize AI-assisted tools to enhance risk stratification and decision-making.
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