Literature DB >> 29136680

Developing prognostic biomarkers in intermediate age-related macular degeneration: their clinical use in predicting progression.

Angelica Ly1,2, Michael Yapp1,2, Lisa Nivison-Smith1,2, Nagi Assaad1,3, Michael Hennessy1,3, Michael Kalloniatis1,2.   

Abstract

Age-related macular degeneration is a common, complex and blinding eye disease. When early and intermediate levels of severity are detected in one or both eyes, there is a wide-ranging 0.4 to 53 per cent risk of progression to advanced disease in five years. In order to maximise visual outcomes for their patients, practising eye-care professionals must be able to stratify patients according to their risk of progression, intervene (for example by recommending smoking cessation or nutritional supplements and Amsler grid self-monitoring in intermediate disease) and monitor accordingly. With the aid of ocular imaging, a range of under-recognised yet meaningful risk factors have been identified. The purpose of this review is to assist the eye-care practitioner in stratifying the risk of progression in intermediate age-related macular degeneration using the range of established and emerging precursory signs that herald loss of vision.
© 2017 Optometry Australia.

Entities:  

Keywords:  age-related macular degeneration; disease staging; prognosis; progression

Mesh:

Substances:

Year:  2017        PMID: 29136680     DOI: 10.1111/cxo.12624

Source DB:  PubMed          Journal:  Clin Exp Optom        ISSN: 0816-4622            Impact factor:   2.742


  8 in total

1.  Development of a Deep-Learning-Based Artificial Intelligence Tool for Differential Diagnosis between Dry and Neovascular Age-Related Macular Degeneration.

Authors:  Tae-Young Heo; Kyoung Min Kim; Hyun Kyu Min; Sun Mi Gu; Jae Hyun Kim; Jaesuk Yun; Jung Kee Min
Journal:  Diagnostics (Basel)       Date:  2020-04-28

Review 2.  An evidence-based approach to the routine use of optical coherence tomography.

Authors:  Angelica Ly; Jack Phu; Paula Katalinic; Michael Kalloniatis
Journal:  Clin Exp Optom       Date:  2018-12-17       Impact factor: 2.742

3.  Replication and Refinement of an Algorithm for Automated Drusen Segmentation on Optical Coherence Tomography.

Authors:  Maximilian W M Wintergerst; Shekoufeh Gorgi Zadeh; Vitalis Wiens; Sarah Thiele; Steffen Schmitz-Valckenberg; Frank G Holz; Robert P Finger; Thomas Schultz
Journal:  Sci Rep       Date:  2020-04-30       Impact factor: 4.379

4.  Early Ophthalmic Changes in Macula Does Not Correlate with Visual Function.

Authors:  Divya Narayanan; Garrick Wallstrom; John Rodriguez; Donna Welch; Matthew Chapin; Paul Arrigg; Rajkumar Patil; Mark Abelson
Journal:  Clin Ophthalmol       Date:  2020-09-03

5.  Vision Impairment Provides New Insight Into Self-Motion Perception.

Authors:  Wilson Luu; Barbara Zangerl; Michael Kalloniatis; Stephen Palmisano; Juno Kim
Journal:  Invest Ophthalmol Vis Sci       Date:  2021-02-01       Impact factor: 4.799

6.  Multispectral pattern recognition measures change in drusen area in age-related macular degeneration with high congruency to expert graders.

Authors:  Judy Nam; Angelica Ly; Michael Kalloniatis; Lisa Nivison-Smith
Journal:  Sci Rep       Date:  2022-05-06       Impact factor: 4.996

Review 7.  Retinal Progression Biomarkers of Early and Intermediate Age-Related Macular Degeneration.

Authors:  Rita Flores; Ângela Carneiro; Sandra Tenreiro; Miguel C Seabra
Journal:  Life (Basel)       Date:  2021-12-27

Review 8.  SD-OCT Biomarkers and the Current Status of Artificial Intelligence in Predicting Progression from Intermediate to Advanced AMD.

Authors:  Ioana Damian; Simona Delia Nicoară
Journal:  Life (Basel)       Date:  2022-03-19
  8 in total

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