Diagnostic ability of swept-source and spectral-domain optical coherence tomography for glaucoma

Sang Yeop Lee, Hyoung Won Bae, Gong Je Seong, Chan Yun Kim

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Purpose: To compare the diagnostic abilities of swept-source optical coherence tomography (OCT) [Deep Range Imaging OCT-1 (DRI-OCT)] and spectral-domain OCT (Cirrus HD-OCT) for glaucoma in Korean adults. Materials and Methods: This retrospective study involved measuring peripapillary retinal nerve fiber layer (PP-RNFL) thickness, full macular thickness, and ganglion cell-inner plexiform layer (GC-IPL) thickness on two different OCT systems. We used three-dimensional optic disc scanning of DRI-OCT and included 12 clock-hour sectors for measurement of the PP-RNFL. Areas under receiver operating characteristic curves (AUCs) were calculated and compared to determine how well each system could distinguish control and glaucomatous patients. Results: Ninety-one healthy and 58 glaucomatous eyes were included. Both systems could clearly distinguish between control eyes and eyes with moderate to severe glaucoma. Among all sectors, the AUC values of areas associated with glaucoma were >0.7 for both OCTs. The PP-RNFL sector of highest AUC value on both OCTs was the inferior sector of the clock-hour map (0.968 and 0.959 in DRI-OCT and Cirrus HD-OCT, respectively). Among macular thickness sectors, AUC values were highest on both OCTs for the outer inferior sector (0.859 and 0.853 in DRI-OCT and Cirrus HD-OCT, respectively). The GC-IPL also provided high diagnostic values (DRI-OCT and Cirrus HD-OCT were the best in the average and inferior sectors, respectively). Conclusion: Although the two OCT systems provided different thickness measurements, DRI-OCT exhibited as good, if not better, diagnostic ability for glaucoma as Cirrus HD-OCT in Korean adults.

Original languageEnglish
Pages (from-to)887-896
Number of pages10
JournalYonsei medical journal
Volume59
Issue number7
DOIs
Publication statusPublished - 2018 Sep

All Science Journal Classification (ASJC) codes

  • Medicine(all)

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