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Data · dataset · 2026

Addressing the challenges of DMO management by identifying structural and functional markers of progression or response to treatment

Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.17034/32826041.v1

Diabetic Retinopathy (DR) and maculopathy are the leading causes of vision loss worldwide, yet early detection and effective monitoring remain challenging.

Description

This PhD project assessed the utility of the most used psychophysical tests to discriminate between DR severity, monitor change over time or detect response to treatment in patients receiving anti-vascular endothelial growth factor (anti-VEGF) in Chapter 2. Chapter 3 dives into the potential of psychophysical tests to serve as sensitive tools for monitoring and predicting the prognosis of DR using retinal structural parameters and function.

It includes developing a grading system to detect the most subtle structural changes in retinal images so that how these relate to visual function can be explored. The focus extends further in Chapter 4 to assess how these tests can evaluate short-term responses to anti-VEGF treatments. In Chapter 3 & 4, diabetic macular oedema (DMO) development or persistence was examined to investigate the effects of progression and anti-VEGF therapy on the retinal structure using spectral domain optical coherence tomography (SD-OCT), and the oxygen saturation in retinal vessels using the Oximetry, alongside the patients' visual function by measuring visual acuity, contrast sensitivity, and retinal sensitivity.

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While we recognise the importance of monitoring patients’ visual function, we also explore the possibility of deploying visual function testing. Therefore, Chapter 5 sought evidence of patients’ acceptability to use a hypothetical visual function home monitoring (HM) app. By positing a hypothetical app, a questionnaire was refined and deployed to explore patients’ perception of using such technology, revealing several concerns that need to be considered in building the HM app before implementation for DR management.

Overall, this project sought to respond to DR/DMO management by exploring the utility of visual function assessment in potentially improving the clinical management and enhancing early detection, monitoring, and prediction of DMO complications.

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Catalogue records · 1

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Inferred from text
Image 65%
Provenance · 3 source records, 8 field assertions
SourceKeyLast seenRaw
ZivaHuboai:figshare.com:article/3282604110 d agoJSON v1
Deakin Research Onlineoai:figshare.com:article/3282604110 d agoJSON v1
DMU Figshareoai:figshare.com:article/3282604110 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].local:field:earth-environmentalmapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].local:field:earth-environmentalmapping · figshare dmu ac ukconnector:figshare_dmu_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
concepts[modality].local:modality:imageenrichment · zivahub uct ac zakeyword-concept-rules@1.0.0title+description (65%)
descriptionsource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0/metadata/dc/description
license_textsource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
publication_datesource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
titlesource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0/metadata/dc/title