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A diagnosis of age-related macular degeneration (AMD) may have a significant impact on a patient's life. Therefore, it is important to consider differential diagnoses, as these can differ considerably from AMD regarding prognosis, inheritance, monitoring and therapy. Differential diagnoses include other macular diseases with drusen, drusen-like changes, monogenic retinal dystrophies, as well as a wide range of other, often rare macular diseases.

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A comprehensive review on early detection of drusen patterns in age-related macular degeneration using deep learning models.

Photodiagnosis Photodyn Ther

December 2024

School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India. Electronic address:

Age-related Macular Degeneration (AMD) is a leading cause of visual impairment and blindness that affects the eye from the age of fifty-five and older. It impacts on the retina, the light-sensitive layer of the eye. In early AMD, yellowish deposits called drusen, form under the retina, which could result in distortion and gradual blurring of vision.

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Purpose:  To analyze patients with optic disc drusen (ODD), with emphasis on modern diagnostics.

Materials And Methods:  Research of the literature was conducted, together with a retrospective statistical analysis of patients with ODD. The group included individuals with ODD diagnosed using at least one of the following (ultrasound - USG, optical coherence tomography - OCT, fundus autofluorescence - FAF).

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Purpose: To examine intraretinally migrated retinal pigment epithelium cells (iRPECs) in enucleated human eyes with various retinal conditions and corresponding intraretinal hyperreflective bodies (iHRBs) in a large cohort of patients with age-related macular degeneration (AMD) in China.

Design: Population-based study and histomorphometric investigation.

Participants: Participants of the population-based Beijing Eye Study and enucleated human eyes.

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Article Synopsis
  • This study aimed to confirm the reliability of measuring choriocapillaris flow deficit (CCFD) within a specific macular grid and to track these measurements over time.
  • Researchers utilized advanced imaging technology to gather data, excluding certain areas in the scans to accurately calculate CCFD percentages in both normal eyes and those with eye conditions.
  • The findings showed that the methodology is effective for monitoring changes in CCFD, particularly in cases where drusen (eye abnormalities) resolved, demonstrating the practicality of the grid strategy for longitudinal studies.
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