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Updated: Jan 28, 2026

Application of Optical Coherence Tomography to a Mouse Model of Retinopathy
Published on: January 12, 2022
An algorithm to identify the aetiology of crystalline retinopathy
Kelly M Pereira1,2, Joseph Mega1,2, Thomas Cesaro1,2
1Eye Clinic, Providence VA Medical Center, Providence, Rhode Island, USA.
Abstract:
Due to the extensive differential diagnoses and overlapping clinical features, determining the aetiology of a crystalline retinopathy can be challenging. More effective ways are needed to help clinicians isolate the cause of a crystalline retinopathy and determine the appropriate management of concomitant ocular and/or systemic disease. This paper reviews literature on crystalline retinopathy focusing upon the key features of each aetiology, including medical history, laterality, and examination findings. Based on this review, an algorithm was formulated to clinically classify causes of crystalline retinopathy, which may help practising clinicians identify and manage key causes of crystalline retinopathy.
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