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Biglan Festschrift [Historical Article]

Schuman, Joel S
PMID: 19085436
ISSN: 1744-5205
CID: 1885902

Combining nerve fiber layer parameters to optimize glaucoma diagnosis with optical coherence tomography

Lu, Ake Tzu-Hui; Wang, Mingwu; Varma, Rohit; Schuman, Joel S; Greenfield, David S; Smith, Scott D; Huang, David
PURPOSE: To identify the best combination of Stratus optical coherence tomography (OCT) retinal nerve fiber layer (RNFL) thickness parameters for the detection of glaucoma. DESIGN: Observational cross-sectional study. PARTICIPANTS: Eighty-nine age-matched normal and perimetric glaucoma participants enrolled in the Advanced Imaging for Glaucoma Study. METHODS: The Zeiss Stratus OCT system was used to obtain the circumpapillary RNFL thickness in both eyes of each participant. Right and left eye clock-hour data are analyzed together, assuming mirror-image symmetry. The RNFL diagnostic parameters were combined using either or-logic or and-logic approaches. MAIN OUTCOME MEASURES: Area under the receiver operating characteristic curve (AROC), sensitivity, and specificity are used to evaluate diagnostic performance. RESULTS: Overall average RNFL thickness has the highest AROC value (0.89) of all single parameters evaluated, followed by the inferior and superior quadrants (0.88 and 0.86, respectively). The clock hours with the best AROC values are in the inferior and superior quadrants. The highest AROC (0.92) was achieved by the or-logic combination of overall, inferior, and superior quadrant RNFL thicknesses. The 3-parameter combination was significantly better than the overall average alone (P = 0.01). The addition of more quadrants or clock hours to the combination reduced diagnostic performance. CONCLUSIONS: The best stand-alone diagnostic strategy for Stratus OCT RNFL data is to classify an eye as glaucomatous if the overall, inferior quadrant, or superior quadrant RNFL thickness average is below normal.
PMCID:2756507
PMID: 18514318
ISSN: 1549-4713
CID: 1885912

Ultrahigh-resolution spectral domain optical coherence tomography imaging of the lamina cribrosa

Kagemann, Larry; Ishikawa, Hiroshi; Wollstein, Gadi; Brennen, Peter M; Townsend, Kelly A; Gabriele, Michelle L; Schuman, Joel S
Study of the structure of the lamina cribrosa is critical in glaucoma research. The purpose of this study is to determine the optimal spectral domain optical coherence tomography imaging protocol for the digital isolation and display of the lamina cribrosa. Three-dimensional datasets centered on the lamina cribrosa were obtained with 200 X 200 to 512 X 512 A-scan densities. The effect of scan density and c-mode slab thickness was subjectively compared. Increasing slab thickness reduced the sharpness of visible prelamina and lamina cribrosa structures. In retrolamina structures, thin slabs provided good visualization, but increased slab size increased the visibility of deeper structures. Scan times as short as 2.3 seconds (256 X 256 A-scans) degraded visualization of the shape of the optic nerve head. The optical scan protocol for lamina cribrosa imaging appears to be a 3 x 3 mm 200 X 200 A-scan volume with the lamina cribrosa positioned near direct current.
PMCID:2908153
PMID: 18777881
ISSN: 1542-8877
CID: 1885922

Optical coherence tomography scan circle location and mean retinal nerve fiber layer measurement variability

Gabriele, Michelle L; Ishikawa, Hiroshi; Wollstein, Gadi; Bilonick, Richard A; Townsend, Kelly A; Kagemann, Larry; Wojtkowski, Maciej; Srinivasan, Vivek J; Fujimoto, James G; Duker, Jay S; Schuman, Joel S
PURPOSE: To investigate the effect on optical coherence tomography (OCT) retinal nerve fiber layer (RNFL) thickness measurements of varying the standard 3.4-mm-diameter circle location. METHODS: The optic nerve head (ONH) region of 17 eyes of 17 healthy subjects was imaged with high-speed, ultrahigh-resolution OCT (hsUHR-OCT; 501 x 180 axial scans covering a 6 x 6-mm area; scan time, 3.84 seconds) for a comprehensive sampling. This method allows for systematic simulation of the variable circle placement effect. RNFL thickness was measured on this three-dimensional dataset by using a custom-designed software program. RNFL thickness was resampled along a 3.4-mm-diameter circle centered on the ONH, then along 3.4-mm circles shifted horizontally (x-shift), vertically (y-shift) and diagonally up to +/-500 microm (at 100-microm intervals). Linear mixed-effects models were used to determine RNFL thickness as a function of the scan circle shift. A model for the distance between the two thickest measurements along the RNFL thickness circular profile (peak distance) was also calculated. RESULTS: RNFL thickness tended to decrease with both positive and negative x- and y-shifts. The range of shifts that caused a decrease greater than the variability inherent to the commercial device was greater in both nasal and temporal quadrants than in the superior and inferior ones. The model for peak distance demonstrated that as the scan moves nasally, the RNFL peak distance increases, and as the circle moves temporally, the distance decreases. Vertical shifts had a minimal effect on peak distance. CONCLUSIONS: The location of the OCT scan circle affects RNFL thickness measurements. Accurate registration of OCT scans is essential for measurement reproducibility and longitudinal examination (ClinicalTrials.gov number, NCT00286637).
PMCID:2728289
PMID: 18515577
ISSN: 0146-0404
CID: 1885932

Automated assessment of the optic nerve head on stereo disc photographs

Xu, Juan; Ishikawa, Hiroshi; Wollstein, Gadi; Bilonick, Richard A; Sung, Kyung R; Kagemann, Larry; Townsend, Kelly A; Schuman, Joel S
PURPOSE: To develop automated software for optic nerve head (ONH) quantitative assessment from stereoscopic disc photographs and to evaluate its performance in comparison with human expert assessment. METHODS: A fully automated system, including three-dimensional ONH modeling, disc margin detection, cup margin detection, and calculation of stereometric ONH parameters, was developed and tested. One eye each from 54 subjects (23 healthy, 17 suspected glaucoma, and 14 glaucoma) was enrolled. The majority opinion of three experts defined disc and cup margins on the disc photographs was used for comparison. Seven ONH parameters, disc area, rim area, rim volume, cup area, cup volume, cup-to-disc (C/D) area ratio, and vertical C/D ratio, were computed based on both machine- and expert-defined margins and compared between the methods. RESULTS: All automated ONH measurements showed good correlation with the expert defined margins (Pearson r = 0.90, disc area; 0.56, rim area; 0.78, rim volume; 0.88, cup area; 0.93, cup volume; 0.69, C/D area ratio; and 0.67, vertical C/D ratio; all P or= 0.21). The mean or median of automatically defined disc and cup areas was significantly higher than the subjective assessment (disc area P = 0.0001, t-test; cup area P = 0.036, Wilcoxon signed ranks test), although they had high correlation coefficients. The software failed to detect the disc margin for all the disc photographs with peripapillary atrophy. CONCLUSIONS: The automated ONH analysis method provides an objective and quantitative ONH evaluation using widely available stereo disc photographs.
PMCID:2923578
PMID: 18326698
ISSN: 0146-0404
CID: 1885942

Sources of longitudinal variability in optical coherence tomography nerve-fibre layer measurements

Kagemann, L; Mumcuoglu, T; Wollstein, G; Bilonick, R; Ishikawa, H; Townsend, K A; Gabriele, M; Fujimoto, J G; Schuman, J S
AIMS: The purpose of this study was to compare the day-to-day reproducibility of optical coherence tomography (OCT; StratusOCT, Carl Zeiss Meditec, Dublin, CA) measurements of retinal nerve-fibre layer (RNFL) measurements at time points 1 year apart. METHODS: One eye in each of 11 healthy subjects was examined using the StratusOCT fast RNFL scan protocol. Three fast RNFL scans with signal strength > or =7 were obtained on each of 3 days within a month. This protocol was repeated after 12 months. A linear mixed effects model fitted to the nested data was used to compute the variance components. RESULTS: The square root of the variance component that was attributed to the differences between subjects was 7.17 microm in 2005 and 7.28 microm in 2006. The square roots of the variance component due to differences between days within a single subject were 1.95 microm and 1.50 microm, respectively, and for within day within a single subject were 2.51 microm and 2.55 microm, respectively. There were no statistically significant differences for any variance component between the two testing occasions. CONCLUSIONS: Measurement error variance remains similar from year to year. Day and scan variance component values obtained in a cohort study may be safely applied for prediction of long-term reproducibility.
PMCID:2743163
PMID: 18523086
ISSN: 1468-2079
CID: 1893292

Heidelberg Retina Tomograph 3 machine learning classifiers for glaucoma detection

Townsend, K A; Wollstein, G; Danks, D; Sung, K R; Ishikawa, H; Kagemann, L; Gabriele, M L; Schuman, J S
AIMS: To assess performance of classifiers trained on Heidelberg Retina Tomograph 3 (HRT3) parameters for discriminating between healthy and glaucomatous eyes. METHODS: Classifiers were trained using HRT3 parameters from 60 healthy subjects and 140 glaucomatous subjects. The classifiers were trained on all 95 variables and smaller sets created with backward elimination. Seven types of classifiers, including Support Vector Machines with radial basis (SVM-radial), and Recursive Partitioning and Regression Trees (RPART), were trained on the parameters. The area under the ROC curve (AUC) was calculated for classifiers, individual parameters and HRT3 glaucoma probability scores (GPS). Classifier AUCs and leave-one-out accuracy were compared with the highest individual parameter and GPS AUCs and accuracies. RESULTS: The highest AUC and accuracy for an individual parameter were 0.848 and 0.79, for vertical cup/disc ratio (vC/D). For GPS, global GPS performed best with AUC 0.829 and accuracy 0.78. SVM-radial with all parameters showed significant improvement over global GPS and vC/D with AUC 0.916 and accuracy 0.85. RPART with all parameters provided significant improvement over global GPS with AUC 0.899 and significant improvement over global GPS and vC/D with accuracy 0.875. CONCLUSIONS: Machine learning classifiers of HRT3 data provide significant enhancement over current methods for detection of glaucoma.
PMCID:2916743
PMID: 18523087
ISSN: 1468-2079
CID: 1893302

Filtering bleb rupture after intravitreal triamcinolone acetonide injection [Case Report]

Kahook, Malik Y; Noecker, Robert J; Abdelghani, Wael M; Schuman, Joel S
Intravitreal triamcinolone acetonide is effective in treating various ocular disorders associated with inflammation and swelling of the retina. Unfortunately, the use of intraocular steroids is also associated with several side effects, including increased intraocular pressure and the development of cataracts. This article describes a case of intravitreal steroid injection resulting in filtering bleb rupture due to an acute rise of intraocular pressure, expands on the mechanism, and provides possible ways to avoid such an occurrence in thin, cystic filtering blebs.
PMID: 18556948
ISSN: 1542-8877
CID: 1885952

Improved visualization of glaucomatous retinal damage using high-speed ultrahigh-resolution optical coherence tomography [Case Report]

Mumcuoglu, Tarkan; Wollstein, Gadi; Wojtkowski, Maciej; Kagemann, Larry; Ishikawa, Hiroshi; Gabriele, Michelle L; Srinivasan, Vivek; Fujimoto, James G; Duker, Jay S; Schuman, Joel S
PURPOSE: To test if improving optical coherence tomography (OCT) resolution and scanning speed improves the visualization of glaucomatous structural changes as compared with conventional OCT. DESIGN: Prospective observational case series. PARTICIPANTS: Healthy and glaucomatous subjects in various stages of disease. METHODS: Subjects were scanned at a single visit with commercially available OCT (StratusOCT) and high-speed ultrahigh-resolution (hsUHR) OCT. The prototype hsUHR OCT had an axial resolution of 3.4 mum (3 times higher than StratusOCT), with an A-scan rate of 24 000 hertz (60 times faster than StratusOCT). The fast scanning rate allowed the acquisition of novel scanning patterns such as raster scanning, which provided dense coverage of the retina and optic nerve head. MAIN OUTCOME MEASURES: Discrimination of retinal tissue layers and detailed visualization of retinal structures. RESULTS: High-speed UHR OCT provided a marked improvement in tissue visualization as compared with StratusOCT. This allowed the identification of numerous retinal layers, including the ganglion cell layer, which is specifically prone to glaucomatous damage. Fast scanning and the enhanced A-scan registration properties of hsUHR OCT provided maps of the macula and optic nerve head with unprecedented detail, including en face OCT fundus images and retinal nerve fiber layer thickness maps. CONCLUSION: High-speed UHR OCT improves visualization of the tissues relevant to the detection and management of glaucoma.
PMCID:2846095
PMID: 17884170
ISSN: 1549-4713
CID: 1885962

Characterization of outer retinal morphology with high-speed, ultrahigh-resolution optical coherence tomography

Srinivasan, Vivek J; Monson, Bryan K; Wojtkowski, Maciej; Bilonick, Richard A; Gorczynska, Iwona; Chen, Royce; Duker, Jay S; Schuman, Joel S; Fujimoto, James G
PURPOSE: To visualize, quantitatively assess, and interpret outer retinal morphology by using high-speed, ultrahigh-resolution (UHR) OCT. METHODS: Retinal imaging was performed in the ophthalmic clinic in a cross-section of 43 normal subjects with a 3.5-microm, axial-resolution, high-speed, UHR OCT prototype instrument, using a radial scan pattern (24 images, 1500 axial scans). Outer retinal layers were automatically segmented and measured. High-definition imaging was performed with a 2.8-microm axial-resolution, high-speed, UHR OCT research prototype instrument, to visualize the finer features in the outer retina. RESULTS: Quantitative maps of outer retinal layers showed clear differences between the cone-dominated fovea and the rod-dominated parafovea and perifovea, indicating that photoreceptor morphology can explain the appearance of the outer retina in high-speed, UHR OCT images. Finer, scattering bands were visualized in the outer retina using high-definition imaging and were interpreted by comparison to known anatomy. CONCLUSIONS: High-speed UHR OCT enables quantification of scattering layers in the outer retina. An interpretation of these features is presented and supported by quantitative measurements in normal subjects and comparison with known anatomy. The thick scattering region of the outer retina previously attributed to the retinal pigment epithelium (RPE) is shown to consist of distinct scattering bands corresponding to the photoreceptor outer segment tips, RPE, and Bruch's membrane. These results may advance understanding of the outer retinal appearance in OCT images. The normative measurements may also aid in future investigations of outer retinal changes in age-related macular degeneration and other diseases.
PMCID:2846094
PMID: 18385077
ISSN: 0146-0404
CID: 1885972