Agreement between Time-Domain and Spectral-Domain Optical Coherence Tomography in the Assessment of Macular Thickness in Patients with Idiopathic Macular Telangiectasia Type 2
| Autor: | Sobha Sivaprasad, Ferenc B Sallo, Daniela Florea, Traci E Clemons, Raeba Mathew, Alan C. Bird, Tunde Peto, Irene Leung |
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| Rok vydání: | 2013 |
| Předmět: |
medicine.medical_specialty
Time Factors genetic structures Retina chemistry.chemical_compound Optical coherence tomography Ophthalmology Linear regression medicine Humans In patient Prospective Studies Time domain Macular telangiectasia medicine.diagnostic_test business.industry Reproducibility of Results Retinal General Medicine medicine.disease eye diseases Sensory Systems chemistry Retinal Telangiectasis sense organs Tomography business Tomography Optical Coherence |
| Zdroj: | Ophthalmologica. 230:144-150 |
| ISSN: | 1423-0267 0030-3755 |
| DOI: | 10.1159/000353455 |
| Popis: | Purpose: To estimate the conversion factors to transpose macular thickness measurements on time-domain (TD) to various spectral-domain (SD) optical coherence tomography (OCT) machines in patients with macular telangiectasia type 2a (MacTel). Procedures: Macular scans on TD- and SD-OCT were performed on patients at the same visit. The retinal thickness values in various ETDRS subfields and macular volume were compared between different OCT machines. Results: The macular thickness and volume were significantly greater (p < 0.0001, r = 0.678-0.822) on SD-OCT. The mean differences in macular thickness between TD Stratus and SD-OCT by Spectralis, Cirrus and Topcon were 62, 41 and 20 μm, respectively. The conversion factor of macular thickness from TD-OCT to Spectralis, Cirrus and Topcon were +65, +39 and +25 μm, respectively. Conclusion and Message: The estimates of conversion of macular thickness from TD- to SD-OCT using simple mean differences between machines and those by linear regression were similar suggesting that the former may be used for the longitudinal follow-up of MacTel patients. |
| Databáze: | OpenAIRE |
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