Imperial College London
Alternate

ProfessorDanielRueckert

Faculty of Engineering, Department of Computing

Professor of Visual Information Processing
 
 
 
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Contact

 

+44 (0)20 7594 8333d.rueckert Website

 
 
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Location

 

568Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Sutton:2023:10.1038/s41433-022-02097-0,
author = {Sutton, J and Menten, MJ and Riedl, S and Bogunovic, H and Leingang, O and Anders, P and Hagag, AM and Waldstein, S and Wilson, A and Cree, AJ and Traber, G and Fritsche, LG and Scholl, H and Rueckert, D and Schmidt-Erfurth, U and Sivaprasad, S and Prevost, T and Lotery, A},
doi = {10.1038/s41433-022-02097-0},
journal = {Eye},
pages = {1275--1283},
title = {Developing and validating a multivariable prediction model which predicts progression of intermediate to late age-related macular degeneration-the PINNACLE trial protocol},
url = {http://dx.doi.org/10.1038/s41433-022-02097-0},
volume = {37},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - AimsAge-related macular degeneration (AMD) is characterised by a progressive loss of central vision. Intermediate AMD is a risk factor for progression to advanced stages categorised as geographic atrophy (GA) and neovascular AMD. However, rates of progression to advanced stages vary between individuals. Recent advances in imaging and computing technologies have enabled deep phenotyping of intermediate AMD. The aim of this project is to utilise machine learning (ML) and advanced statistical modelling as an innovative approach to discover novel features and accurately quantify markers of pathological retinal ageing that can individualise progression to advanced AMD.MethodsThe PINNACLE study consists of both retrospective and prospective parts. In the retrospective part, more than 400,000 optical coherent tomography (OCT) images collected from four University Teaching Hospitals and the UK Biobank Population Study are being pooled, centrally stored and pre-processed. With this large dataset featuring eyes with AMD at various stages and healthy controls, we aim to identify imaging biomarkers for disease progression for intermediate AMD via supervised and unsupervised ML. The prospective study part will firstly characterise the progression of intermediate AMD in patients followed between one and three years; secondly, it will validate the utility of biomarkers identified in the retrospective cohort as predictors of progression towards late AMD. Patients aged 55–90 years old with intermediate AMD in at least one eye will be recruited across multiple sites in UK, Austria and Switzerland for visual function tests, multimodal retinal imaging and genotyping. Imaging will be repeated every four months to identify early focal signs of deterioration on spectral-domain optical coherence tomography (OCT) by human graders. A focal event triggers more frequent follow-up with visual function and imaging tests. The primary outcome is the sensitivity and specificity of the OCT ima
AU  - Sutton,J
AU  - Menten,MJ
AU  - Riedl,S
AU  - Bogunovic,H
AU  - Leingang,O
AU  - Anders,P
AU  - Hagag,AM
AU  - Waldstein,S
AU  - Wilson,A
AU  - Cree,AJ
AU  - Traber,G
AU  - Fritsche,LG
AU  - Scholl,H
AU  - Rueckert,D
AU  - Schmidt-Erfurth,U
AU  - Sivaprasad,S
AU  - Prevost,T
AU  - Lotery,A
DO  - 10.1038/s41433-022-02097-0
EP  - 1283
PY  - 2023///
SN  - 0950-222X
SP  - 1275
TI  - Developing and validating a multivariable prediction model which predicts progression of intermediate to late age-related macular degeneration-the PINNACLE trial protocol
T2  - Eye
UR  - http://dx.doi.org/10.1038/s41433-022-02097-0
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000800074100002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://www.nature.com/articles/s41433-022-02097-0
UR  - http://hdl.handle.net/10044/1/98003
VL  - 37
ER  -
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