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Ocular Risk Factors for Exudative AMD: A Novel Semiautomated Grading System

2013Journal article Open access
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dc.contributor.authorMarques, JP
dc.contributor.authorCosta, M
dc.contributor.authorMelo, P
dc.contributor.authorOliveira, CM
dc.contributor.authorPires, I
dc.contributor.authorCachulo, ML
dc.contributor.authorFigueira, J
dc.contributor.authorSilva, R
dc.date.accessioned2016-09-30T15:36:36Z
dc.date.available2016-09-30T15:36:36Z
dc.date.issued2013
dc.description.abstractPurpose. To evaluate the contribution of the ocular risk factors in the conversion of the fellow eye of patients with unilateral exudative AMD, using a novel semiautomated grading system. Materials and Methods. Single-center, retrospective study including 89 consecutive patients with unilateral exudative AMD and ≥3 years of followup. Baseline color fundus photographs were graded using an innovative grading software, RetmarkerAMD (Critical Health SA). Results. The follow-up period was 60.9 ± 31.3 months. The occurrence of CNV was confirmed in 42 eyes (47.2%). The cumulative incidence of CNV was 23.6% at 2 years, 33.7% at 3 years, 39.3% at 5 years, and 47.2% at 10 years, with a mean annual incidence of 12.0% (95% CI = 0.088-0.162). The absolute number of drusen in the central 1000 and 3000  μ m (P < 0.05) and the absolute number of drusen ≥125 µm in the central 3000 and 6000 µm (P < 0.05) proved to be significant risk factors for CNV. Conclusion. The use of quantitative variables in the determination of the OR of developing CNV allowed the establishment of significant risk factors for neovascularization. The long follow-up period and the innovative methodology reinforce the value of our results. This trial is registered with ClinicalTrials.gov NCT00801541.pt_PT
dc.identifier.citationISRN Ophthalmol. 2013 Jul 30;2013:464218.pt_PT
dc.identifier.doi10.1155/2013/464218pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.4/1960
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectDegenerescência Macularpt_PT
dc.titleOcular Risk Factors for Exudative AMD: A Novel Semiautomated Grading Systempt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage8pt_PT
oaire.citation.startPage464218pt_PT
oaire.citation.volume2013pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT

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