1. Articles from Shaban Demirel

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    1. OCT Structural Abnormality Detection in Glaucoma using Topographically Correspondent Rim and Retinal Nerve Fiber Layer Criteria

      OCT Structural Abnormality Detection in Glaucoma using Topographically Correspondent Rim and Retinal Nerve Fiber Layer Criteria

      Purpose To evaluate the ability of topographically correspondent (TC) minimum rim width (MRW) and peripapillary retinal nerve fiber layer thickness (pRNFLT) criteria to detect optical coherence tomography (OCT) structural abnormality in glaucoma (GL) and glaucoma suspect (GLS) eyes. Design Retrospective cross-sectional study. Methods 196 GL, 150 GLS eyes and 303 Heathy eyes underwent PRNFL and 24 radial optic nerve head OCT imaging and manual correction of the internal limiting membrane, Bruch’s membrane opening (BMO) and outer pRNFL segmentations. MRW and pRNFLT were quantified in six Garway-Heath (GH) or twelve 30° (clock-hour) sectors. OCT abnormality for each parameter was defined ...

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    2. OCT-Detected Optic Nerve Head Neural Canal Direction, Obliqueness and Minimum Cross-Sectional Area in Healthy Eyes

      OCT-Detected Optic Nerve Head Neural Canal Direction, Obliqueness and Minimum Cross-Sectional Area in Healthy Eyes

      Purpose To assess anterior scleral canal opening (ASCO) offset relative to Bruch’s membrane opening (BMO) (ASCO/BMO offset) so as to determine neural canal direction, obliqueness, and minimum cross-sectional area (NCMCA) in 362 healthy eyes. Design Cross-sectional study Methods After OCT optic nerve head (ONH) and retinal nerve fiber layer thickness (RNFLT) imaging, BMO and ASCO were manually segmented and planes, centroids, size and shape were calculated. Neural canal direction was defined by projecting the neural canal axis vector (connecting BMO and ASCO centroids) onto the BMO plane. Neural canal obliqueness was defined by the angle between the neural ...

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    3. Optical Coherence Tomography Segmentation Errors of the Retinal Nerve Fiber Layer Persist Over Time

      Optical Coherence Tomography Segmentation Errors of the Retinal Nerve Fiber Layer Persist Over Time

      Précis: There are errors in automated segmentation of the retinal nerve fiber layer in glaucoma suspects or patients with mild glaucoma that appear to persist over time; however, automated segmentation has greater repeatability than manual segmentation. Purpose: To identify whether optical coherence tomography (OCT) segmentation errors in retinal nerve fiber layer (RNFL) thickness measurements persist longitudinally. Methods: This was a cohort study. We used spectral domain OCT (Spectralis, Heidelberg Engineering, Heidelberg, Germany) to measure RNFL thickness in a 6-degree peripapillary circle, and exported the native “automated segmentation only” results. In addition, we exported RNFL thickness results after “manual refinement ...

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    4. Factors Influencing Optical Coherence Tomography Peripapillary Choroidal Thickness: A Multicenter Study

      Factors Influencing Optical Coherence Tomography Peripapillary Choroidal Thickness: A Multicenter Study

      Purpose : To quantify peripapillary choroidal thickness (PCT) and the factors that influence it in healthy participants who represent the racial and ethnic composition of the U.S. population. Methods : A total of 362 healthy participants underwent optical coherence tomography (OCT) enhanced depth imaging of the optic nerve head with a 24 radial B-scan pattern aligned to the fovea to Bruch's membrane opening axis. Bruch's membrane, anterior scleral canal opening (ASCO), and the anterior scleral surface were manually segmented. PCT was measured at 100, 300, 500, 700, 900, and 1100 μm from the ASCO globally and within 12 clock-hour ...

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    5. Glaucoma Specialist Detection of Optical Coherence Tomography Suspicious Rim Tissue in Glaucoma and Glaucoma Suspect Eyes.

      Glaucoma Specialist Detection of Optical Coherence Tomography Suspicious Rim Tissue in Glaucoma and Glaucoma Suspect Eyes.

      Purpose To assess glaucoma specialists’ detection of optic nerve head (ONH) rim tissue that is thin by optical coherence tomography (OCT) criteria. Design Reliability analysis Methods 5 clinicians marked the disc margin (DM) and rim margin (RM) on stereo-photos of 151 glaucoma or glaucoma suspect eyes obtained within 3 months of OCT imaging. The photo and OCT infrared image for each eye were colocalized and regionalized into twelve sectors relative to the axis between Bruch’s membrane opening (BMO) centroid and the fovea. For each clinician, the distance from BMO centroid to their DM (DM radius) and RM (RM radius ...

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    6. Automated segmentation errors when using optical coherence tomography to measure retinal nerve fiber layer thickness in glaucoma

      Automated segmentation errors when using optical coherence tomography to measure retinal nerve fiber layer thickness in glaucoma

      Purpose To characterize the error of optical coherence tomography (OCT) measurements of retinal nerve fiber layer (RNFL) thickness when using automated retinal layer segmentation algorithms without manual refinement. Design: cross-sectional study Methods Setting: glaucoma clinical practice. Study Population: 3490 scans from 412 eyes of 213 individuals with a diagnosis of glaucoma or glaucoma suspect. Observational Procedures: We used spectral domain OCT (Spectralis, Heidelberg Engineering, Heidelberg, Germany) to measure RNFL thickness in a 6-degree peripapillary circle, and exported the native 'automated segmentation only' results. In addition, we exported the results after 'manual refinement' to correct errors in the automated segmentation of ...

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    7. Changes in Retinal Nerve Fiber Layer Reflectance Intensity as a Predictor of Functional Progression in Glaucoma

      Changes in Retinal Nerve Fiber Layer Reflectance Intensity as a Predictor of Functional Progression in Glaucoma

      Purpose : We determined whether longitudinal changes in retinal nerve fiber layer (RNFL) reflectance provide useful prognostic information about longitudinal changes in function in glaucoma. Methods : The reflectance intensity of each pixel within spectral-domain optical coherence tomography (SD-OCT) circle scans was extracted by custom software. A repeatability cohort comprising 53 eyes of 27 participants (average visual field mean deviation [MD] −1.65 dB) was tested five times within a few weeks. To minimize test–retest variability in their data, a reflectance intensity ratio was defined as the mean reflectance intensity of pixels within the RNFL divided by the mean between the ...

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    8. Anatomic vs. Acquired Image Frame Discordance in Spectral Domain Optical Coherence Tomography Minimum Rim Measurements

      Anatomic vs. Acquired Image Frame Discordance in Spectral Domain Optical Coherence Tomography Minimum Rim Measurements

      Purpose To quantify the effects of using the fovea to Bruch's membrane opening (FoBMO) axis as the nasal-temporal midline for 30° sectoral (clock-hour) spectral domain optical coherence tomography (SDOCT) optic nerve head (ONH) minimum rim width (MRW) and area (MRA) calculations. Methods The internal limiting membrane and BMO were delineated within 24 radial ONH B-scans in 222 eyes of 222 participants with ocular hypertension and glaucoma. For each eye the fovea was marked within the infrared reflectance image, the FoBMO angle (θ) relative to the acquired image frame (AIF) horizontal was calculated, the ONH was divided into 30°sectors using ...

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    9. Correlating Perimetric Indices With Three Nerve Fiber Layer Thickness Measures

      Correlating Perimetric Indices With Three Nerve Fiber Layer Thickness Measures

      PURPOSE: To determine which of three estimates of retinal nerve fiber layer thickness (RNFLT) correlate best with visual field sensitivity measured using standard automated perimetry (SAP). METHODS: Data were collected from 400 eyes of 209 participants enrolled in the Portland Progression Project. These individuals ranged from high-risk suspects to having non-end-stage glaucoma. In each eye, three measures of average RNFLT (spectral domain optical coherence tomography [SDOCT], scanning laser polarimetry [SLP], confocal scanning laser tomography [CSLT]) and SAP (Humphrey HFAII) were performed on the same day. Mean deviation (MD), mean sensitivity (MS), and pattern standard deviation (PSD) were linearized using the ...

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    1-9 of 9
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    1. (9 articles) Devers Eye Institute
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    Correlating Perimetric Indices With Three Nerve Fiber Layer Thickness Measures Anatomic vs. Acquired Image Frame Discordance in Spectral Domain Optical Coherence Tomography Minimum Rim Measurements Changes in Retinal Nerve Fiber Layer Reflectance Intensity as a Predictor of Functional Progression in Glaucoma Automated segmentation errors when using optical coherence tomography to measure retinal nerve fiber layer thickness in glaucoma Glaucoma Specialist Detection of Optical Coherence Tomography Suspicious Rim Tissue in Glaucoma and Glaucoma Suspect Eyes. Factors Influencing Optical Coherence Tomography Peripapillary Choroidal Thickness: A Multicenter Study Optical Coherence Tomography Segmentation Errors of the Retinal Nerve Fiber Layer Persist Over Time OCT-Detected Optic Nerve Head Neural Canal Direction, Obliqueness and Minimum Cross-Sectional Area in Healthy Eyes OCT Structural Abnormality Detection in Glaucoma using Topographically Correspondent Rim and Retinal Nerve Fiber Layer Criteria Normative data and associations of Optical Coherence Tomography Angiography measurements of the macula: The Singapore Malay Eye Study Automatic Segmentation and Measurement of Choroid Layer in High Myopia for OCT Imaging Using Deep Learning In-process monitoring in laser grooving with line-shaped femtosecond pulses using optical coherence tomography