Abstract: We thank Qiu and associates for their comments relating to our publication, “Retinal Nerve Fiber Layer Thickness in Patients Receiving Chronic Anti–Vascular Endothelial Growth Factor Therapy.” 1 Horsley M.B. Mandava N. Maycotte M.A. Kahook M.Y. Retinal nerve fiber layer thickness in patients receiving chronic anti-vascular endothelial growth factor therapy. Am J Ophthalmol. 2010; 150: 558-561 Abstract Full Text Full Text PDF PubMed Scopus (81) Google Scholar Given their insightful concerns regarding the optical coherence tomography (OCT) inclusion parameters used in our study, we will take this opportunity to add additional information that may be helpful. In the methods section of our manuscript we state, “All scans were evaluated to ensure that the RNFL was accurately identified and that the signal strength scores were all equal to or above 6.” Further review of our data reveals that all scans had a signal strength (SS) ≥7. Furthermore, separate scans used for analysis for each patient did not vary in SS by more than 2 units. We believe this additional information illustrates why differences in SS between scans used in our study would be unlikely to lead to significant differences in retinal nerve fiber layer (RNFL) measurements. The Effect of Image Quality on Retinal Nerve Fiber Layer Measurement in Stratus OCTAmerican Journal of OphthalmologyVol. 151Issue 2PreviewWe read with interest the article by Horsley and associates reporting the effect of chronic anti–vascular endothelial growth factor therapy on retinal nerve fiber layer (RNFL) measurement in patients with wet age-related macular degeneration.1 The authors reported that long-term treatment with anti–vascular endothelial growth factor agents did not lead to significant changes in RNFL thickness measured with Stratus OCT (Carl Zeiss Meditec, Dublin, California, USA). However, the results may be confounded by image quality of RNFL measurement. Full-Text PDF
Publication Year: 2011
Publication Date: 2011-01-19
Language: en
Type: article
Indexed In: ['crossref']
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