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Erratum: Retinal Nerve Fiber Layer Height in High-Tension Glaucoma and Healthy Eyes (Journal of Glaucoma (1998) 7 (1-7))
No full textClassification and Statistical Trend Analysis in Detecting Glaucomatous Visual Field Progression
No full textAim. To evaluate the agreement between different methods in detection of glaucomatous visual field progression using two classification-based methods and four statistical approaches based on trend analysis. Methods. This is a retrospective and longitudinal study. Twenty Caucasian patients (mean age 73.8 ± 13.43 years) with open-Angle glaucoma were recruited in the study. Each visual field was assessed by Humphrey Field Analyzer, program SITA standard 30-2 or 24-2 (Carl Zeiss Meditec, Inc., Dublin, CA). Full threshold strategy was also accepted for baseline tests. Progression was analyzed by using Hodapp-Parrish-Anderson classification and the Advanced Glaucoma Intervention Study visual field defect score. For the statistical analysis, linear regression (r2) was calculated for mean deviation (MD), pattern standard deviation (PSD), and visual field index (VFI), and when it was significant, each series of visual field was considered progressive. We also used Progressor to look for a significant progression of each visual field series. The agreement between methods, based on statistical analysis and classification, was evaluated using a weighted kappa statistic. Results. Thirty-eight visual field series were analyzed. The mean follow-up time was 6.2 ± 1.53 years (mean ± standard deviation). At baseline, the mean MD was-7.34 ± 7.18 dB; at the end of the follow-up, the mean MD was-9.25 ± 8.65 dB; this difference was statistically significant (p<0.001). The agreement to detect progression was fair between all methods based on statistical analysis and classification except for PSD r2. A substantial agreement ( = 0.698 ± 0.126) was found between MD r2 and VFI r2. With the use of all the statistical analysis, there was a better time-saving. Conclusions. The best agreement to detect progression was found between MD r2 and VFI r2. VFI r2 showed the best agreement with all the other methods. GPA2 can help ophthalmologists to detect glaucoma progression and to help in treatment decisions. PSD r2 was the worse method to detect progression
Clinical evaluation of a novel device for anterior chamber angle photography
No full textObiettivi: valutazione della goniofotografia automatica (AGP) - immagini a colori dell’angolo camerulare (ACA) - nell’identificazione delle strutture anatomiche angolari e dei reperti patologici o post-chirurgici. Metodi: lo strumento GS-1 (Gonioscope GS-1; NIDEK Technologies Srl) è stato utilizzato per acquisire immagini a 360 gradi dell’ACA in entrambi gli occhi di 50 pazienti. L’inserzione apparente dell’iride per ogni quadrante ed eventuali altri reperti dell’ACA sono stati registrati. Tutti i pazienti sono stati sottoposti anche alla gonioscopia standard e l’angolo è stato valutato utilizzando la classificazione di Spaeth. La concordanza tra i due strumenti è stata determinata utilizzando il coefficiente di Cohen's pesato linearmente κ (KW). Risultati: dei 400 quadranti fotografati, 339 (84.8%) erano di qualità sufficiente per le analisi. L’età media (DS) era 56 (14.2) anni e 29 (58%) erano donne. La concordanza tra AGP con GS-1 e gonioscopia standard è risultata essere buona (KW, 0.65; 95% CI, 0.51 to 0.78). Non ci sono state differenze tra AGP e gonioscopia circa l’identificazione di reperti anormali quali: XEN gel stent, dispositivo Ex-PRESS, tubicino di impianto drenante, trabeculectomia, IOL a supporto angolare. Nessun evento avverso relativo alla gonioscopia o al GS-1 è stato osservato.Purpose: To assess Automatic GonioPhotography (AGP) - true color images of the anterior chamber angle (ACA) - for identifying angle anatomical structures and pathological or post-surgical findings. Methods: GS-1 (Gonioscope GS-1; NIDEK Technologies Srl) was used to acquire 360-degree images of the ACA on both eyes of 50 patients. Apparent iris insertion for each quadrant and others ACA’s findings were recorded. All patients underwent standard gonioscopy and the angle was graded using the Spaeth Classification. Inter-device agreement was determined by using Cohen's linearly weighted κ (KW) coefficient of concordance. Results: Of the 400 quadrants imaged, 339 (84.8%) were of sufficient quality for analysis. The mean (SD) patients’ age was 56 (14.2) years and 29 (58%) were women. AGP with GS-1 and standard gonioscopy showed good inter-device agreement on apparent iris insertion evaluation (KW, 0.65; 95% CI, 0.51 to 0.78). No differences between AGP and gonioscopy were observed in detecting findings such as XEN gel stent, Ex-PRESS device, long tube, trabeculectomy, anglesupported IOL. No adverse events related to gonioscopy or GS-1 examination were observed. Conclusions: AGP using the GS-1 is a reliable method for assessing apparent iris insertion and proved useful in detecting pathological and post-surgical ACA findings
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