Diagnostic Accuracy of the Spectralis and Cirrus Reference Databases in Differentiating between Healthy and Early Glaucoma Eyes

Abstract

Purpose To evaluate and compare the diagnostic accuracy of the global and sector analyses for detection of early visual field damage using the retinal nerve fiber layer (RNFL) reference databases of the Spectralis and Cirrus spectral-domain optical coherence tomography (SD-OCT) devices. Methods Healthy subjects and glaucoma suspects from the Diagnostic Innovations in Glaucoma Study (DIGS) and African Descent and Glaucoma Evaluation Study (ADAGES) with at least 2 years of follow-up were included. Global and sectoral RNFL measures were classified as within normal limits, borderline and outside normal limits based on the device reference databases. The sensitivity of outside normal limits classification was estimated in glaucoma suspect eyes that developed repeatable visual field (VF) damage. Results 353 glaucoma suspect eyes and 279 healthy eyes were included. 34 (9.6%) of glaucoma suspect eyes developed VF damage. In glaucoma suspect eyes, Spectralis and Cirrus outside normal limits classification was present in 47 eyes (13.3%) and 24 eyes (6.8%), respectively. The sensitivity of the global RNFL outside normal limits classification among eyes that developed VF damage was 23.5% for Cirrus and 32.4% for Spectralis. The specificity of within normal limits global classification in healthy eyes was 100% for Cirrus and 99.6% for Spectralis. There was moderate to substantial agreement between Cirrus and Spectralis classification as outside normal limits. Conclusions The Spectralis and Cirrus reference databases have a high specificity for identifying healthy eyes, and good agreement for detection of eyes with early glaucoma damage.

Comparison of spectral-domain optical coherence tomography for intra-retinal layers thickness measurements between healthy and diabetic eyes among Chinese adults

“…Automated or manual multilayer segmentation of the retina [16–19] in clinical practice is constantly increasing, and topographic thickness map measurements provide valuable information about retinal cell layers [20,21]. For example, certain studies have shown that ganglion cell layer (GCL) thickness reduction is associated with visual function and can predict disease severity in multiple sclerosis [22,23].…”

Ophthalmic Diagnostic Imaging: Glaucoma

“…The RNFL thickness values for a scan are classified using a 6-sector analysis, and sectors can be flagged green ("Within Normal Limits"), yellow ("Borderline"), and red ("Outside Normal Limits"). RNFL parameters of the SPECTRALIS have been evaluated relative to other commercially available SD-OCT devices and shown to be as specific, sensitive, and repeatable [51,52].…”

Schichtdickenmessungen der retinalen Nervenfaserschicht mit optischer Kohärenztomografie bei Glaukompatienten und Gesunden

“…Da die normale Papillengröße, RNF-Dicke und Ganglienzellschichtdicke zwischen Kaukasiern, Afrikanern, Asiaten und Indern unterschiedlich sein können, berücksichtigen einige Datenbanken verschiedene Ethnien, sodass vor der Bildaufnahme die Ethnie des Patienten mit angegeben werden muss. Silverman et al [4]…”