Literature DB >> 20716323

Interobserver variability for retreatment indications after Ranibizumab loading doses in neovascular age-related macular degeneration.

Carsten Framme1, Georgios Panagakis, Andreas Walter, Maria Andreea Gamulescu, Wolfgang Herrmann, Horst Helbig.   

Abstract

PURPOSE: To assess the interobserver variability (IOV) in indicating retreatment for neovascular Age-related macular degeneration 4 weeks after three Ranibizumab loading doses using spectral domain OCT (SD-OCT) as the primary objective diagnostic tool.
MATERIAL AND METHODS: Four observers decided for or against 4th Ranibizumab injection in 108 patients by six different rating rounds (RR) based on the SD-OCT findings after the loading doses. Postoperative OCT images were supplemented consecutively with information from a chart review as the 'patients subjective estimation of vision (SE)', the course of best-corrected visual acuity (BCVA) and the preoperative OCT as well as all information collectively. Agreement rates (AR) and Kappa statistics were calculated.
RESULTS: Based on post-treatment OCT findings only (RR1), mean reinjection rate of all observers was 37.5%. Adding supplementary information, mean reinjection rate decreased to 20% when all information was available reflecting the 'real' situation (RR 6). Interobserver agreement rates varied from 66.7% to 90.7% depending on rating rounds and interobserver pairs. Mean AR and Kappa values (KV) were as following: AR 81.6%, KV 0.61 (RR1: 'only post-OP OCT'); AR 76.7%, KV 0.33 (RR2: post-OP OCT + SE); AR 80.3%, KV 0.45 (RR3: post-OP OCT + BCVA); AR 80.7%, KV 0.46 (RR4: pre- and post-OP OCT); AR 82.2%, KV 0.49 (RR5: post-OP OCT + SE + BCVA); and finally AR 83.6%, KV 0.47 (RR6: pre- and post-OP OCT + SE + BCVA). The overall mean agreement rate was 80.9% with a Kappa of 0.47.
CONCLUSION: IOV for indicating retreatment after three Ranibizumab loading doses reveals only moderate agreement in Kappa statistics, which seems to be too low considering the high costs for retreatments. More concise guidelines based on the post-treatment OCT scans as the presumably most sensitive and noninvasive objective tool to follow choroidal neovascularization activity by judging the course of sub- and intraretinal fluid are necessary.
© 2010 The Authors. Journal compilation © 2010 Acta Ophthalmol.

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Year:  2010        PMID: 20716323     DOI: 10.1111/j.1755-3768.2010.01940.x

Source DB:  PubMed          Journal:  Acta Ophthalmol        ISSN: 1755-375X            Impact factor:   3.761


  3 in total

1.  OCT-based deep learning algorithm for the evaluation of treatment indication with anti-vascular endothelial growth factor medications.

Authors:  Philipp Prahs; Viola Radeck; Christian Mayer; Yordan Cvetkov; Nadezhda Cvetkova; Horst Helbig; David Märker
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2017-11-10       Impact factor: 3.117

Review 2.  [Deep learning to support therapy decisions for intravitreal injections].

Authors:  P Prahs; D Märker; C Mayer; H Helbig
Journal:  Ophthalmologe       Date:  2018-09       Impact factor: 1.059

3.  Comparison of central macular thickness measured by three OCT models and study of interoperator variability.

Authors:  Zaïnab Bentaleb-Machkour; Eléonore Jouffroy; Muriel Rabilloud; Jean-Daniel Grange; Laurent Kodjikian
Journal:  ScientificWorldJournal       Date:  2012-08-22
  3 in total

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