Macular Thickness

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Felipe A Medeiros - One of the best experts on this subject based on the ideXlab platform.

  • comparison of different spectral domain optical coherence tomography scanning areas for glaucoma diagnosis
    Ophthalmology, 2010
    Co-Authors: Robert N Weinreb, Linda M Zangwill, Luciana M Alencar, Pamela A Sample, Harsha L Rao, Felipe A Medeiros
    Abstract:

    Purpose To evaluate retinal nerve fiber layer (RNFL), optic nerve head (ONH), and Macular Thickness measurements for glaucoma detection using the RTVue spectral domain optical coherence tomograph. Design Diagnostic, case-control study. Participants One hundred forty eyes of 106 glaucoma patients and 74 eyes of 40 healthy subjects from the Diagnostic Innovations in Glaucoma Study (DIGS). Methods All patients underwent ocular imaging with the commercially available RTVue. Optic nerve head, RNFL Thickness, and Macular Thickness scans were obtained during the same visit. Receiver operating characteristic (ROC) curves and sensitivities at fixed specificities (80% and 95%) were calculated for each parameter. Main Outcome Measures Areas under the ROC curves (AUC) and sensitivities at fixed specificities of 80% and 95%. Results The AUC for the RNFL parameter with best performance, inferior quadrant Thickness, was significantly higher than that of the best-performing ONH parameter, inferior rim area (0.884 vs 0.812, respectively; P = 0.04). There was no difference between ROC curve areas of the best RNFL Thickness parameters and the best inner Macular Thickness measurement, ganglion cell complex root mean square (ROC curve area=0.870). Conclusions The RTVue RNFL and inner retinal Macular Thickness measurements had good ability to detect eyes with glaucomatous visual field loss and performed significantly better than ONH parameters. Financial Disclosure(s) Proprietary or commercial disclosure may be found after the references.

  • detection of glaucoma progression with stratus oct retinal nerve fiber layer optic nerve head and Macular Thickness measurements
    Investigative Ophthalmology & Visual Science, 2009
    Co-Authors: Felipe A Medeiros, Remo Susanna, Linda M Zangwill, Christopher Bowd, Luciana M Alencar, Pamela A Sample, Robert N Weinreb
    Abstract:

    Purpose To evaluate and compare the ability of optical coherence tomography (OCT) retinal nerve fiber layer (RNFL), optic nerve head, and Macular Thickness parameters to detect progressive structural damage in glaucoma.

  • evaluation of Macular Thickness measurements for detection of band atrophy of the optic nerve using optical coherence tomography
    Ophthalmology, 2008
    Co-Authors: Frederico Castelo Moura, Felipe A Medeiros, Mario Luiz Ribeiro Monteiro
    Abstract:

    Purpose To evaluate the ability of optical coherence tomography (OCT) Macular Thickness parameters to differentiate between eyes with band atrophy (BA) of the optic nerve and healthy eyes. Design Cross-sectional study. Participants The study included 1 eye of each of 40 consecutive patients with BA of the optic nerve and permanent temporal hemianopic visual field (VF) defects owing to chiasmal compression and 31 age- and gender-matched healthy subjects. Methods All patients underwent VF assessment with kinetic Goldmann perimetry and Humphrey 24-2 full-threshold standard automated perimetry (SAP). Macular and retinal nerve fiber layer (RNFL) Thickness scans were obtained using the commercially available Stratus OCT. The severity of VF defect in patients with BA was evaluated by the temporal mean defect (TMD), calculated as the average of the 22 values of the temporal total deviation plot of the SAP 24-2 test, excluding the 2 points immediately above and below the blind spot. Main Outcome Measures Receiver operating characteristic (ROC) curves and sensitivities at fixed specificities were calculated for each parameter. Spearman's rank correlation coefficients were used to evaluate the relationship between RNFL and Macular Thickness parameters and severity of VF loss as measured by the TMD. Results The Macular Thickness parameters related to the nasal hemiretina had the best performance to detect damage in BA eyes. No statistically significant difference ( P = 0.19) was found between the ROC curve areas (AUCs) for the best Macular Thickness parameter (temporal/nasal Macular Thickness, AUC=0.96) and the best RNFL parameter (average Thickness, AUC=0.99). Lower values of TMD, indicating more severe VF loss, were associated with lower Macular Thickness measurements. The highest correlation was observed for the parameter nasal average Macular Thickness (ρ = 0.693, R 2 = 48%, P Conclusion Eyes with BA of the optic nerve show significant thinning of the retinal Thickness on the nasal Macular area, which is associated with the severity of VF damage in these eyes. Macular Thickness measurements could potentially be used to evaluate the amount of ganglion cell loss in patients with BA of the optic nerve and could prove clinically useful for detection of damage and for monitoring these patients.

  • evaluation of retinal nerve fiber layer optic nerve head and Macular Thickness measurements for glaucoma detection using optical coherence tomography
    American Journal of Ophthalmology, 2005
    Co-Authors: Remo Susanna, Felipe A Medeiros, Linda M Zangwill, Christopher Bowd, R M Vessani, Robert N Weinreb
    Abstract:

    Purpose To compare the ability of optical coherence tomography retinal nerve fiber layer (RNFL), optic nerve head, and Macular Thickness parameters to differentiate between healthy eyes and eyes with glaucomatous visual field loss. Design Observational case-control study. Methods Eighty-eight patients with glaucoma and 78 healthy subjects were included. All patients underwent ONH, RNFL Thickness, and Macular Thickness scans with Stratus OCT during the same visit. ROC curves and sensitivities at fixed specificities were calculated for each parameter. A discriminant analysis was performed to develop a linear discriminant function designed to identify and combine the best parameters. This LDF was subsequently tested on an independent sample consisting of 63 eyes of 63 subjects (27 glaucomatous and 36 healthy individuals) from a different geographic area. Results No statistically significant difference was found between the areas under the ROC curves (AUC) for the RNFL Thickness parameter with the largest AUC (inferior Thickness, AUC=0.91) and the ONH parameter with largest AUC (cup/disk area ratio, AUC=0.88) ( P = .28). The RNFL parameter inferior Thickness had a significantly larger AUC than the Macular Thickness parameter with largest AUC (inferior outer Macular Thickness, AUC=0.81) ( P = .004). A combination of selected RNFL and ONH parameters resulted in the best classification function for glaucoma detection with an AUC of 0.97 when applied to the independent sample. Conclusions RNFL and ONH measurements had the best discriminating performance among the several Stratus OCT parameters. A combination of ONH and RNFL parameters improved the diagnostic accuracy for glaucoma detection using this instrument.

Robert N Weinreb - One of the best experts on this subject based on the ideXlab platform.

  • comparison of different spectral domain optical coherence tomography scanning areas for glaucoma diagnosis
    Ophthalmology, 2010
    Co-Authors: Robert N Weinreb, Linda M Zangwill, Luciana M Alencar, Pamela A Sample, Harsha L Rao, Felipe A Medeiros
    Abstract:

    Purpose To evaluate retinal nerve fiber layer (RNFL), optic nerve head (ONH), and Macular Thickness measurements for glaucoma detection using the RTVue spectral domain optical coherence tomograph. Design Diagnostic, case-control study. Participants One hundred forty eyes of 106 glaucoma patients and 74 eyes of 40 healthy subjects from the Diagnostic Innovations in Glaucoma Study (DIGS). Methods All patients underwent ocular imaging with the commercially available RTVue. Optic nerve head, RNFL Thickness, and Macular Thickness scans were obtained during the same visit. Receiver operating characteristic (ROC) curves and sensitivities at fixed specificities (80% and 95%) were calculated for each parameter. Main Outcome Measures Areas under the ROC curves (AUC) and sensitivities at fixed specificities of 80% and 95%. Results The AUC for the RNFL parameter with best performance, inferior quadrant Thickness, was significantly higher than that of the best-performing ONH parameter, inferior rim area (0.884 vs 0.812, respectively; P = 0.04). There was no difference between ROC curve areas of the best RNFL Thickness parameters and the best inner Macular Thickness measurement, ganglion cell complex root mean square (ROC curve area=0.870). Conclusions The RTVue RNFL and inner retinal Macular Thickness measurements had good ability to detect eyes with glaucomatous visual field loss and performed significantly better than ONH parameters. Financial Disclosure(s) Proprietary or commercial disclosure may be found after the references.

  • detection of glaucoma progression with stratus oct retinal nerve fiber layer optic nerve head and Macular Thickness measurements
    Investigative Ophthalmology & Visual Science, 2009
    Co-Authors: Felipe A Medeiros, Remo Susanna, Linda M Zangwill, Christopher Bowd, Luciana M Alencar, Pamela A Sample, Robert N Weinreb
    Abstract:

    Purpose To evaluate and compare the ability of optical coherence tomography (OCT) retinal nerve fiber layer (RNFL), optic nerve head, and Macular Thickness parameters to detect progressive structural damage in glaucoma.

  • comparison of Macular Thickness measurements between time domain and spectral domain optical coherence tomography
    Investigative Ophthalmology & Visual Science, 2008
    Co-Authors: Christopher Kaishun Leung, Carol Y Cheung, Robert N Weinreb, Gary Lee, Dusheng Lin, Chi Pui Pang, Dennis S C Lam
    Abstract:

    PURPOSE To compare Macular Thickness measurements obtained from time domain optical coherence tomography (OCT) and spectral domain OCT and to evaluate their repeatability and agreement. METHODS Thirty-five healthy normal subjects were included. In one randomly selected eye in each subject, three serial Macular measurements were obtained from a time domain OCT (Stratus OCT, Carl Zeiss Meditec, Dublin, CA) and a spectral domain OCT (3D OCT; Topcon, Tokyo, Japan) by an experienced technician in random order. Total and regional Macular Thicknesses obtained by the two OCTs were compared. Their agreement was examined with Bland-Altman plots. Repeatability (2.77 x within subject SD [Sw]), coefficient of variation (CVw; Sw/overall mean), and intraclass correlation coefficient (ICC) were calculated to evaluate repeatability. RESULTS Low variability for Macular Thickness measurements was found in both time domain and spectral domain OCTs. The range of the respective CVw and ICC values were 1.6% to 3.2% and 0.85 to 0.91 for Stratus OCT and 0.6% to 2.4% and 0.92 to 0.99 for 3D OCT. 3D OCT demonstrated better repeatability for total and regional Macular Thicknesses (all with P Macular Thicknesses measured by 3D OCT were significantly greater than those measured by Stratus OCT (both with P < 0.001). The spans of 95% limits of agreement for foveal and total Macular Thicknesses were 33.9 and 21.3 mum, respectively. CONCLUSIONS Although both time domain and spectral domain OCTs are reliable for Macular Thickness measurements, spectral domain OCT has better measurement repeatability compared with time domain OCT. Macular measurements obtained from the two OCT systems may not be used interchangeably.

  • evaluation of retinal nerve fiber layer optic nerve head and Macular Thickness measurements for glaucoma detection using optical coherence tomography
    American Journal of Ophthalmology, 2005
    Co-Authors: Remo Susanna, Felipe A Medeiros, Linda M Zangwill, Christopher Bowd, R M Vessani, Robert N Weinreb
    Abstract:

    Purpose To compare the ability of optical coherence tomography retinal nerve fiber layer (RNFL), optic nerve head, and Macular Thickness parameters to differentiate between healthy eyes and eyes with glaucomatous visual field loss. Design Observational case-control study. Methods Eighty-eight patients with glaucoma and 78 healthy subjects were included. All patients underwent ONH, RNFL Thickness, and Macular Thickness scans with Stratus OCT during the same visit. ROC curves and sensitivities at fixed specificities were calculated for each parameter. A discriminant analysis was performed to develop a linear discriminant function designed to identify and combine the best parameters. This LDF was subsequently tested on an independent sample consisting of 63 eyes of 63 subjects (27 glaucomatous and 36 healthy individuals) from a different geographic area. Results No statistically significant difference was found between the areas under the ROC curves (AUC) for the RNFL Thickness parameter with the largest AUC (inferior Thickness, AUC=0.91) and the ONH parameter with largest AUC (cup/disk area ratio, AUC=0.88) ( P = .28). The RNFL parameter inferior Thickness had a significantly larger AUC than the Macular Thickness parameter with largest AUC (inferior outer Macular Thickness, AUC=0.81) ( P = .004). A combination of selected RNFL and ONH parameters resulted in the best classification function for glaucoma detection with an AUC of 0.97 when applied to the independent sample. Conclusions RNFL and ONH measurements had the best discriminating performance among the several Stratus OCT parameters. A combination of ONH and RNFL parameters improved the diagnostic accuracy for glaucoma detection using this instrument.

Joel S Schuman - One of the best experts on this subject based on the ideXlab platform.

  • comparison of spectral fourier domain optical coherence tomography instruments for assessment of normal Macular Thickness
    Retina-the Journal of Retinal and Vitreous Diseases, 2010
    Co-Authors: Alan C Sull, James G Fujimoto, Joel S Schuman, Lori Lyn Price, Laurel N Vuong, Vivek J Srinivasan, Iwona Gorczynska, Jay S Duker
    Abstract:

    Purpose:The purpose of this study was to report normal Macular Thickness measurements and assess reproducibility of retinal Thickness measurements acquired by a time-domain optical coherence tomography (OCT) (Stratus, Carl Zeiss Meditec, Inc., Dublin, CA) and three commercially available spectral/Fo

  • comparison of spectral fourier domain optical coherence tomography instruments for assessment of normal Macular Thickness
    PubMed Central, 2010
    Co-Authors: Alan C Sull, James G Fujimoto, Joel S Schuman, Lori Lyn Price, Laurel N Vuong, Vivek J Srinivasan, Iwona Gorczynska, Jay S Duker
    Abstract:

    PURPOSE—To report normal Macular Thickness measurements and assess reproducibility of retinal Thickness measurements acquired by a time domain optical coherence tomography (OCT) (Stratus [Carl Zeiss Meditec, Inc., Dublin, CA, USA]) and three commercially available spectral / Fourier domain OCT instruments (Cirrus HD-OCT [Carl Zeiss Meditec, Inc., Dublin, CA, USA], RTVue-100 [Optovue, Inc., Fremont, CA, USA], 3D OCT-1000 [Topcon, Inc., Paramus, NJ, USA]). METHODS—Forty randomly selected eyes of 40 normal, healthy volunteers were imaged. Subjects were scanned twice during one visit and a subset of 25 was scanned again within 8 weeks. Retinal Thickness measurements were automatically generated by OCT software and recorded after manual correction. Regression and Bland-Altman plots were used to compare agreement between instruments. Reproducibility was analyzed by using intraclass correlation coefficients (ICC), and incidence of artifacts was determined. RESULTS—Macular Thickness measurements were found to have high reproducibility across all instruments, with ICC values ranging 84.8–94.9% for Stratus OCT; 92.6–97.3% for Cirrus Cube; 76.4–93.7% for RTVue MM5, 61.1–96.8% for MM6; 93.1–97.9% for 3D OCT-1000 Radial, 31.5– 97.5% for 3D Macular scans. Incidence of artifacts was higher in spectral / Fourier domain instruments, ranging 28.75 to 53.16%, compared to 17.46% in Stratus OCT. No significant age or gender trends were found in the measurements. CONCLUSIONS—Commercial spectral / Fourier domain OCT instruments provide higher speed and axial resolution than the Stratus OCT, although they vary greatly in scanning protocols and are currently limited in their analysis functions. Further development of segmentation algorithms and Corresponding Author: Jay S. Duker, MD, Department of Ophthalmology, Chairman, Tufts Medical Center, 800 Washington St., Box #450, Boston, MA, 02111, Tel: 617-636-4677; Fax: 617-636-4866, JDuker@tuftsmedicalcenter.org. Disclosures J.G. Fujimoto receives royalties from intellectual property owned by MIT and licensed to Carl Zeiss Meditec, Inc. and has stock options in Optovue, Inc.. J.S. Schuman receives research support and royalties from intellectual property licensed to Carl Zeiss Meditec, Inc.. J.S. Duker receives research support from Carl Zeiss Meditech, Inc., Optovue, Inc., and Topcon Medical Systems, Inc.. NIH Public Access Author Manuscript Retina. Author manuscript; available in PMC 2011 February 1. Published in final edited form as: Retina. 2010 February ; 30(2): 235. doi:10.1097/IAE.0b013e3181bd2c3b. N IH PA Athor M anscript N IH PA Athor M anscript N IH PA Athor M anscript quantitative features are needed to assist clinicians in objective use of these newer instruments to manage diseases.

  • normal Macular Thickness measurements in healthy eyes using stratus optical coherence tomography
    Archives of Ophthalmology, 2006
    Co-Authors: Annie W Chan, James G Fujimoto, Jay S Duker, Joel S Schuman
    Abstract:

    Objective To report normal Macular Thickness measurements in healthy eyes using the latest commercially available optical coherence tomography (OCT) mapping software, version 3.0, from the Stratus OCT (OCT3). Methods Thirty-seven eyes from 37 healthy subjects underwent a complete ophthalmologic examination, including OCT. Six radial scans, 6 mm in length and centered on the fovea, were obtained using the OCT3. Retinal Thickness was automatically calculated by OCT mapping software. Measurements were displayed as the mean and standard deviation for each of the 9 regions defined in the Early Treatment Diabetic Retinopathy Study. Results Foveal Thickness (mean Thickness in the central 1000-μm diameter area) and central foveal Thickness (mean Thickness at the point of intersection of 6 radial scans) on the OCT3 were 212 ± 20 and 182 ± 23 μm, respectively. Macular Thickness measurements were thinnest at the center of the fovea, thickest within 3-mm diameter of the center, and diminished toward the periphery of the macula. The temporal quadrant was thinner than the nasal quadrant. Central foveal Thickness was also manually determined as 170 ± 18 μm, approximately 12 μm less than the value automatically obtained from the OCT3 software. There was no correlation between age and foveal Thickness ( P  = .80). Conclusions Mean foveal Thickness measurements were 38 to 62 μm thicker than previously reported values, while mean central foveal Thickness measurements were 20 to 49 μm thicker than previously published values. This discrepancy should be considered when interpreting OCT scans.

  • reproducibility of nerve fiber Thickness Macular Thickness and optic nerve head measurements using stratusoct
    Investigative Ophthalmology & Visual Science, 2004
    Co-Authors: L A Paunescu, Joel S Schuman, Lori Lyn Price, Paul Stark, S Beaton, Gadi Wollstein, Hiroshi Ishikawa, James G Fujimoto
    Abstract:

    PURPOSE: The measurement reproducibility of the third generation of commercial optical coherence tomography, OCT-3 (StratusOCT, software ver. A2, Carl Zeiss Meditec Inc., Dublin, CA) was investigated. The nerve fiber layer (NFL) Thickness, macula Thickness map, and optic nerve head (ONH) parameters in normal eyes were studied. METHODS: Ten normal subjects were imaged six times (three before and three after dilation) per day, and the series was repeated on three different days. The order of the scans before pupil dilation was randomized in each of the 3 days of scanning. After pupil dilation, the scans were also randomized in each of the 3 days of scanning. Each series was performed separately for standard-density (128 A-scans per Macular and ONH image and 256 A-scans per NFL image) and high-density (512 A-scans per image for all three scan types) scanning. RESULTS: The mean Macular Thickness was 235 +/- 9.8 micro m. A-scan density (or image acquisition speed) had a statistically significant effect (P < 0.05) on the reproducibility of the mean Macular Thickness, Macular volume, and a few sectors of the Macular map. No significant dilation effect was found for any of the Macular parameters. The best intraclass correlation coefficient (ICC; 94%) for Macular scans was found for dilated high-density scanning, with an intervisit SD of 2.4 micro m and an intravisit SD of 2.2 micro m. The mean NFL Thickness for standard scanning was 98 +/- 9 micro m. NFL reproducibility showed mixed results and had interactions between scan density and dilation for some parameters. For most of the NFL parameters, reproducibility was better with dilated standard-density scanning. The mean NFL Thickness ICC for dilated standard scanning was 79%, with an intervisit SD of 2.5 micro m and an intravisit SD of 1.6 micro m. For the ONH analysis, the reproducibility was better for dilated standard-density scanning for almost all the parameters, except for disc area, horizontal integrated rim volume, and vertical integrated rim area, which were better before dilation. The best reproducibility was found for cup-to-disc ratio (ICC = 97%, with intervisit SD of 0.04 micro m and intravisit SD of 0.02 micro m). CONCLUSIONS: StratusOCT demonstrated reproducible measurements of NFL Thickness, Macular Thickness, and optic nerve head parameters. The best reproducibility was found for dilated standard scanning for NFL and ONH parameters and for dilated high-density scanning for Macular parameters.

  • optical coherence tomography measurement of Macular and nerve fiber layer Thickness in normal and glaucomatous human eyes
    Ophthalmology, 2003
    Co-Authors: Joel S Schuman, Gadi Wollstein, Viviane Guedes, Ellen Hertzmark, Anthony J Correnti, Ronald Mancini, David E Lederer, Serineh Voskanian
    Abstract:

    Purpose To evaluate the hypothesis that Macular Thickness correlates with the diagnosis of glaucoma.

Mario Luiz Ribeiro Monteiro - One of the best experts on this subject based on the ideXlab platform.

  • correlation between cognitive impairment and retinal neural loss assessed by swept source optical coherence tomography in patients with mild cognitive impairment
    Alzheimer's & Dementia: Diagnosis Assessment & Disease Monitoring, 2019
    Co-Authors: Ana Laura Maciel Almeida, Rony Carlos Preti, Leandro Cabral Zacharias, Mario Luiz Ribeiro Monteiro, Luciana Virginia Ferreira Costacunha, Leopoldo Antonio Pires, Evelyn Alvernaz Figueiredo, Leonardo Provetti Cunha
    Abstract:

    Abstract Introduction We compared peripapillary retinal nerve fiber layer and Macular Thickness measurements in patients with mild cognitive impairment (MCI) and control subjects using swept-source optical coherence tomography (SS-OCT). We also assessed the relationship between SS-OCT measurements and the severity of cognitive impairment. Methods Peripapillary retinal nerve fiber layer and Macular Thickness were measured in 23 patients and 24 control subjects using SS-OCT. Cognitive status was assessed using the Mini-Mental State Examination, the Montreal Cognitive Assessment, and the Pfeffer Questionnaire. Results Most inner retinal layer Thickness parameters were significantly smaller in patients with MCI, especially Macular ganglion cell complex Thickness measurements. Mini-Mental State Examination and Montreal Cognitive Assessment findings were significantly correlated with most Macular Thickness parameters. Discussion The SS-OCT–measured inner retinal layers of patients with MCI displayed thinning, especially in the central Macular area. SS-OCT technology can provide useful information on ocular involvement patterns and holds promise as an ocular biomarker in this patient population.

  • Macular Thickness measurements with frequency domain oct for quantification of retinal neural loss and its correlation with cognitive impairment in alzheimerʼs disease
    PLOS ONE, 2016
    Co-Authors: Leonardo Provetti Cunha, Luciana Virginia Ferreira Costacunha, Luciana Cheker Lopes, Carolina Ferreira Costa, Leopoldo Antonio Pires, Ana Laura Maciel Almeida, Mario Luiz Ribeiro Monteiro
    Abstract:

    Purpose To evaluate the ability of frequency domain optical coherence tomography (fd-OCT) to estimate retinal neural loss in eyes with Alzheimer’s disease (AD). We also verified the existence of a correlation between AD-related cognitive impairment and Macular and peripapillary retinal nerve fiber layer (RNFL) Thickness measurements. Methods fd-OCT scans were obtained from 45 eyes of 24 patients with AD and 48 control eyes. Peripapillary RNFL, Macular full-Thickness and segmented inner Macular Thickness parameters were calculated. The inner Macular parameters included Macular retinal nerve fiber layer (mRNFL) Thickness, ganglion cell layer (GCL) plus inner plexiform layer Thickness (GCL+), and RNFL plus GCL+ Thickness (GCL++). The Mini-Mental State Examination (MMSE) was used to assess cognition in all subjects. The two groups were compared and the relationship between MMSE scores and fd-OCT measurements was verified. Results Average, superior and inferior quadrant RNFL Thickness parameters and all but one of the nine full-Thickness Macular measurements were significantly reduced in AD patients compared to controls. The segmented layers, GCL+ and GCL++ were significantly reduced in AD eyes. A significant correlation was found between most fd-OCT parameters (especially Macular Thickness measurements) and MMSE scores. Conclusions Most fd-OCT peripapillary RNFL and Macular full-Thickness and segmented inner retinal layers parameters were reduced in AD eyes compared to controls. Moreover, neuronal loss, especially as reflected in Macular parameters, correlated well with cognitive impairment in AD. Our results suggest that fd-OCT could be a potentially useful diagnostic tool in the evaluation and follow-up of AD patients.

  • Macular Thickness measurements with frequency domain oct for quantification of axonal loss in chronic papilledema from pseudotumor cerebri syndrome
    Eye, 2014
    Co-Authors: Mario Luiz Ribeiro Monteiro, C L Afonso
    Abstract:

    Macular Thickness measurements with frequency domain-OCT for quantification of axonal loss in chronic papilledema from pseudotumor cerebri syndrome

  • relationship between visual field sensitivity loss and quadrantic Macular Thickness measured with stratus optical coherence tomography in patients with chiasmal syndrome
    Arquivos Brasileiros De Oftalmologia, 2010
    Co-Authors: Frederico Castelo Moura, Luciana Virginia Ferreira Costacunha, Roberto Freire Santiago Malta, Mario Luiz Ribeiro Monteiro
    Abstract:

    PURPOSE: To correlate visual field sensitivity (VFS) loss on standard automated perimetry (SAP) and quadrantic Macular Thickness on optical coherence tomography (OCT) in patients with permanent temporal hemianopia from chiasmal compression. METHODS: Forty eyes from 40 patients with chiasmal compression and 40 healthy eyes were submitted to standard automated perimetry and Stratus-OCT scanning. Raw data of the fast Macular Thickness scanning protocol were exported and Macular Thickness measurements were recorded and averaged for each quadrant and half of the central area. The correlation between visual field sensitivity loss and optical coherence tomography measurements was tested with Pearson's correlation coefficients and with linear regression analysis. RESULTS: A significant association was found between each Macular Thickness parameter and the corresponding central VF mean sensitivity. The strongest association was observed between superonasal Macular Thickness and the inferotemporal mean defect measured both in decibel (R=0.47; p=0.001) and in 1/Lambert (R=0.59; p<0.0001) units. CONCLUSION: Stratus-OCT-measured Macular Thickness was topographically related with visual field sensitivity loss in patients with temporal hemianopia from chiasmal compression. Such measurements could prove clinically useful in the diagnosis and follow-up of patients with chiasmal compression. ClinicalTrial.gov identifier number: NCT0039122.

  • comparison between retinal nerve fiber layer and Macular Thickness measured with oct detecting progressive axonal loss following traumatic optic neuropathy
    Arquivos Brasileiros De Oftalmologia, 2009
    Co-Authors: Leonardo Provetti Cunha, Roberto Freire Santiago Malta, Luciana Virginia Ferreira Costacunha, Mario Luiz Ribeiro Monteiro
    Abstract:

    PURPOSE: To compare the optical coherence tomography retinal nerve fiber layer and Macular Thickness measurements for detection of progressive axonal loss following acute traumatic optic neuropathy in a longitudinal study. METHODS: Three patients with unilateral traumatic optic neuropathy were evaluated sequentially after trauma. Macular and retinal nerve fiber layer Thickness measurements were obtained using optical coherence tomography weekly for five weeks and around the twelfth week after trauma. RESULTS: All patients showed progressive Macular and retinal nerve fiber layer Thickness reduction. The mean retinal nerve fiber layer Thickness on the first week was 114 μm and reduced sequentially over the first five weeks and was 46 μm on the twelfth week. For Macular parameters, the mean average Thickness on the first week was 248 μm and also reduced over the first five weeks and was 218 μm on the twelfth week. When compared to the initial measurement, Macular Thickness average reduction rate at the 12th week was 14% while peripapillary retinal nerve fiber layer Thickness average reduction rate was 59%. CONCLUSIONS: Although both measurements reduce significantly after trauma, retinal nerve fiber layer Thickness measurements show greater and faster retinal neural reduction if compared to Macular Thickness measurements in traumatic optic neuropathy.

James G Fujimoto - One of the best experts on this subject based on the ideXlab platform.

  • comparison of spectral fourier domain optical coherence tomography instruments for assessment of normal Macular Thickness
    Retina-the Journal of Retinal and Vitreous Diseases, 2010
    Co-Authors: Alan C Sull, James G Fujimoto, Joel S Schuman, Lori Lyn Price, Laurel N Vuong, Vivek J Srinivasan, Iwona Gorczynska, Jay S Duker
    Abstract:

    Purpose:The purpose of this study was to report normal Macular Thickness measurements and assess reproducibility of retinal Thickness measurements acquired by a time-domain optical coherence tomography (OCT) (Stratus, Carl Zeiss Meditec, Inc., Dublin, CA) and three commercially available spectral/Fo

  • comparison of spectral fourier domain optical coherence tomography instruments for assessment of normal Macular Thickness
    PubMed Central, 2010
    Co-Authors: Alan C Sull, James G Fujimoto, Joel S Schuman, Lori Lyn Price, Laurel N Vuong, Vivek J Srinivasan, Iwona Gorczynska, Jay S Duker
    Abstract:

    PURPOSE—To report normal Macular Thickness measurements and assess reproducibility of retinal Thickness measurements acquired by a time domain optical coherence tomography (OCT) (Stratus [Carl Zeiss Meditec, Inc., Dublin, CA, USA]) and three commercially available spectral / Fourier domain OCT instruments (Cirrus HD-OCT [Carl Zeiss Meditec, Inc., Dublin, CA, USA], RTVue-100 [Optovue, Inc., Fremont, CA, USA], 3D OCT-1000 [Topcon, Inc., Paramus, NJ, USA]). METHODS—Forty randomly selected eyes of 40 normal, healthy volunteers were imaged. Subjects were scanned twice during one visit and a subset of 25 was scanned again within 8 weeks. Retinal Thickness measurements were automatically generated by OCT software and recorded after manual correction. Regression and Bland-Altman plots were used to compare agreement between instruments. Reproducibility was analyzed by using intraclass correlation coefficients (ICC), and incidence of artifacts was determined. RESULTS—Macular Thickness measurements were found to have high reproducibility across all instruments, with ICC values ranging 84.8–94.9% for Stratus OCT; 92.6–97.3% for Cirrus Cube; 76.4–93.7% for RTVue MM5, 61.1–96.8% for MM6; 93.1–97.9% for 3D OCT-1000 Radial, 31.5– 97.5% for 3D Macular scans. Incidence of artifacts was higher in spectral / Fourier domain instruments, ranging 28.75 to 53.16%, compared to 17.46% in Stratus OCT. No significant age or gender trends were found in the measurements. CONCLUSIONS—Commercial spectral / Fourier domain OCT instruments provide higher speed and axial resolution than the Stratus OCT, although they vary greatly in scanning protocols and are currently limited in their analysis functions. Further development of segmentation algorithms and Corresponding Author: Jay S. Duker, MD, Department of Ophthalmology, Chairman, Tufts Medical Center, 800 Washington St., Box #450, Boston, MA, 02111, Tel: 617-636-4677; Fax: 617-636-4866, JDuker@tuftsmedicalcenter.org. Disclosures J.G. Fujimoto receives royalties from intellectual property owned by MIT and licensed to Carl Zeiss Meditec, Inc. and has stock options in Optovue, Inc.. J.S. Schuman receives research support and royalties from intellectual property licensed to Carl Zeiss Meditec, Inc.. J.S. Duker receives research support from Carl Zeiss Meditech, Inc., Optovue, Inc., and Topcon Medical Systems, Inc.. NIH Public Access Author Manuscript Retina. Author manuscript; available in PMC 2011 February 1. Published in final edited form as: Retina. 2010 February ; 30(2): 235. doi:10.1097/IAE.0b013e3181bd2c3b. N IH PA Athor M anscript N IH PA Athor M anscript N IH PA Athor M anscript quantitative features are needed to assist clinicians in objective use of these newer instruments to manage diseases.

  • normal Macular Thickness measurements in healthy eyes using stratus optical coherence tomography
    Archives of Ophthalmology, 2006
    Co-Authors: Annie W Chan, James G Fujimoto, Jay S Duker, Joel S Schuman
    Abstract:

    Objective To report normal Macular Thickness measurements in healthy eyes using the latest commercially available optical coherence tomography (OCT) mapping software, version 3.0, from the Stratus OCT (OCT3). Methods Thirty-seven eyes from 37 healthy subjects underwent a complete ophthalmologic examination, including OCT. Six radial scans, 6 mm in length and centered on the fovea, were obtained using the OCT3. Retinal Thickness was automatically calculated by OCT mapping software. Measurements were displayed as the mean and standard deviation for each of the 9 regions defined in the Early Treatment Diabetic Retinopathy Study. Results Foveal Thickness (mean Thickness in the central 1000-μm diameter area) and central foveal Thickness (mean Thickness at the point of intersection of 6 radial scans) on the OCT3 were 212 ± 20 and 182 ± 23 μm, respectively. Macular Thickness measurements were thinnest at the center of the fovea, thickest within 3-mm diameter of the center, and diminished toward the periphery of the macula. The temporal quadrant was thinner than the nasal quadrant. Central foveal Thickness was also manually determined as 170 ± 18 μm, approximately 12 μm less than the value automatically obtained from the OCT3 software. There was no correlation between age and foveal Thickness ( P  = .80). Conclusions Mean foveal Thickness measurements were 38 to 62 μm thicker than previously reported values, while mean central foveal Thickness measurements were 20 to 49 μm thicker than previously published values. This discrepancy should be considered when interpreting OCT scans.

  • reproducibility of nerve fiber Thickness Macular Thickness and optic nerve head measurements using stratusoct
    Investigative Ophthalmology & Visual Science, 2004
    Co-Authors: L A Paunescu, Joel S Schuman, Lori Lyn Price, Paul Stark, S Beaton, Gadi Wollstein, Hiroshi Ishikawa, James G Fujimoto
    Abstract:

    PURPOSE: The measurement reproducibility of the third generation of commercial optical coherence tomography, OCT-3 (StratusOCT, software ver. A2, Carl Zeiss Meditec Inc., Dublin, CA) was investigated. The nerve fiber layer (NFL) Thickness, macula Thickness map, and optic nerve head (ONH) parameters in normal eyes were studied. METHODS: Ten normal subjects were imaged six times (three before and three after dilation) per day, and the series was repeated on three different days. The order of the scans before pupil dilation was randomized in each of the 3 days of scanning. After pupil dilation, the scans were also randomized in each of the 3 days of scanning. Each series was performed separately for standard-density (128 A-scans per Macular and ONH image and 256 A-scans per NFL image) and high-density (512 A-scans per image for all three scan types) scanning. RESULTS: The mean Macular Thickness was 235 +/- 9.8 micro m. A-scan density (or image acquisition speed) had a statistically significant effect (P < 0.05) on the reproducibility of the mean Macular Thickness, Macular volume, and a few sectors of the Macular map. No significant dilation effect was found for any of the Macular parameters. The best intraclass correlation coefficient (ICC; 94%) for Macular scans was found for dilated high-density scanning, with an intervisit SD of 2.4 micro m and an intravisit SD of 2.2 micro m. The mean NFL Thickness for standard scanning was 98 +/- 9 micro m. NFL reproducibility showed mixed results and had interactions between scan density and dilation for some parameters. For most of the NFL parameters, reproducibility was better with dilated standard-density scanning. The mean NFL Thickness ICC for dilated standard scanning was 79%, with an intervisit SD of 2.5 micro m and an intravisit SD of 1.6 micro m. For the ONH analysis, the reproducibility was better for dilated standard-density scanning for almost all the parameters, except for disc area, horizontal integrated rim volume, and vertical integrated rim area, which were better before dilation. The best reproducibility was found for cup-to-disc ratio (ICC = 97%, with intervisit SD of 0.04 micro m and intravisit SD of 0.02 micro m). CONCLUSIONS: StratusOCT demonstrated reproducible measurements of NFL Thickness, Macular Thickness, and optic nerve head parameters. The best reproducibility was found for dilated standard scanning for NFL and ONH parameters and for dilated high-density scanning for Macular parameters.