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Dive into the research topics where Naama Hammel is active.

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Featured researches published by Naama Hammel.


Investigative Ophthalmology & Visual Science | 2016

Does the Location of Bruch's Membrane Opening Change Over Time? Longitudinal Analysis Using San Diego Automated Layer Segmentation Algorithm (SALSA)

Akram Belghith; Christopher Bowd; Felipe A. Medeiros; Naama Hammel; Zhiyong Yang; Robert N. Weinreb; Linda M. Zangwill

Purpose We determined if the Bruchs membrane opening (BMO) location changes over time in healthy eyes and eyes with progressing glaucoma, and validated an automated segmentation algorithm for identifying the BMO in Cirrus high-definition coherence tomography (HD-OCT) images. Methods We followed 95 eyes (35 progressing glaucoma and 60 healthy) for an average of 3.7 ± 1.1 years. A stable group of 50 eyes had repeated tests over a short period. In each B-scan of the stable group, the BMO points were delineated manually and automatically to assess the reproducibility of both segmentation methods. Moreover, the BMO location variation over time was assessed longitudinally on the aligned images in 3D space point by point in x, y, and z directions. Results Mean visual field mean deviation at baseline of the progressing glaucoma group was −7.7 dB. Mixed-effects models revealed small nonsignificant changes in BMO location over time for all directions in healthy eyes (the smallest P value was 0.39) and in the progressing glaucoma eyes (the smallest P value was 0.30). In the stable group, the overall intervisit–intraclass correlation coefficient (ICC) and coefficient of variation (CV) were 98.4% and 2.1%, respectively, for the manual segmentation and 98.1% and 1.9%, respectively, for the automated algorithm Conclusions Bruchs membrane opening location was stable in normal and progressing glaucoma eyes with follow-up between 3 and 4 years indicating that it can be used as reference point in monitoring glaucoma progression. The BMO location estimation with Cirrus HD-OCT using manual and automated segmentation showed excellent reproducibility.


Ophthalmology | 2016

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

Anna L. Silverman; Naama Hammel; Naira Khachatryan; Lucie Sharpsten; Felipe A. Medeiros; Christopher A. Girkin; Jeffrey M. Liebmann; Robert N. Weinreb; Linda M. Zangwill

PURPOSE To evaluate and compare the diagnostic accuracy of global and sector analyses for detection of early visual field (VF) damage using the retinal nerve fiber layer (RNFL) reference databases of the Spectralis (Heidelberg Engineering, Heidelberg, Germany) and Cirrus (Carl Zeiss Meditec, Dublin, CA) 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 (BL), and outside normal limits (ONL) on the basis of the device reference databases. The sensitivity of ONL classification was estimated in glaucoma suspect eyes that developed repeatable VF damage. RESULTS A total of 353 glaucoma suspect eyes and 279 healthy eyes were included. A total of 34 (9.6%) of the glaucoma suspect eyes developed VF damage. In glaucoma suspect eyes, Spectralis and Cirrus ONL classification was present in 47 eyes (13.3%) and 24 eyes (6.8%), respectively. The sensitivity of the global RNFL ONL 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 ONL. 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.


Ophthalmology | 2016

Rate and Pattern of Rim Area Loss in Healthy and Progressing Glaucoma Eyes

Naama Hammel; Akram Belghith; Christopher Bowd; Felipe A. Medeiros; Lucie Sharpsten; Nadia Mendoza; Andrew J. Tatham; Naira Khachatryan; Jeffrey M. Liebmann; Christopher A. Girkin; Robert N. Weinreb; Linda M. Zangwill

PURPOSE To characterize the rate and pattern of age-related and glaucomatous neuroretinal rim area changes in subjects of African and European descent. DESIGN Prospective longitudinal study. PARTICIPANTS Two hundred ninety-six eyes of 157 healthy subjects (88 patients of African descent and 69 of European descent) and 73 progressing glaucoma eyes of 67 subjects (24 patients of African descent and 43 of European descent) from the Diagnostic Innovations in Glaucoma Study and the African Descent and Glaucoma Evaluation Study were included. METHODS Global and sectoral rim areas were measured using confocal laser scanning ophthalmoscopy. Masked stereophotograph review determined progression of glaucomatous optic disc damage. The rates of absolute rim area loss and percentage rim area loss in healthy and progressing glaucomatous eyes were compared using multivariate, nested, mixed-effects models. MAIN OUTCOME MEASURES Rate of rim area loss over time. RESULTS The median follow-up time was 5.0 years (interquartile range, 2.0-7.4 years) for healthy eyes and 8.3 years (interquartile range, 7.5-9.9 years) for progressing glaucoma eyes. The mean rate of global rim area loss was significantly faster in progressing glaucomatous eyes compared with healthy eyes for both rim area loss (-10.2×10(-3) vs. -2.8×10(-3) mm(2)/year, respectively; P < 0.001) and percentage rim area loss (-1.1% vs. -0.2%/year, respectively; P < 0.001), but considerable overlap existed between the 2 groups. Sixty-three percent of progressing glaucoma eyes had a rate of change faster than the fifth quantile of healthy eyes. For both healthy and progressing eyes, the pattern of rim area loss and percentage rim area loss were similar, tending to be fastest in the superior temporal and inferior temporal sectors. The rate of change was similar in progressing eyes of patients of African or European descent. CONCLUSIONS Compared with healthy eyes, the mean rate of global rim area loss was 3.7 times faster and the mean rate of global percentage rim area loss was 5.4 times faster in progressing glaucoma eyes. A reference database of healthy eyes can be used to help clinicians distinguish age-related rim area loss from rim area loss resulting from glaucoma.


British Journal of Ophthalmology | 2018

Comparing Optical Coherence Tomography Radial and Cube Scan Patterns for Measuring Bruch’s Membrane Opening Minimum Rim Width (BMO-MRW) in Glaucoma and Healthy Eyes: Cross-sectional and Longitudinal Analysis

Sami W. Kabbara; Linda M. Zangwill; Rusdeep S. Mundae; Naama Hammel; Christopher Bowd; Felipe A. Medeiros; Robert N. Weinreb; Akram Belghith

Aim To compare the cube and radial scan patterns of the spectral domain optical coherence tomography (SD-OCT) for quantifying the Bruch’s membrane opening minimum rim width (BMO-MRW). Methods Sixty healthy eyes and 189 glaucomatous eyes were included. The optic nerve head cube and radial pattern scans were acquired using Spectralis SD-OCT. BMO-MRWs were automatically delineated using the San Diego Automated Layer Segmentation Algorithm. The BMO-MRW diagnostic accuracy for glaucoma detection and rates of change derived from the two scan patterns were compared. Results There was a significant difference between the baseline global BMO-MRW measurements of cube and radial scans for healthy (301.9±57.8 µm and 334.7±61.8 µm, respectively, p<0.003) and glaucoma eyes (181.2±63.0 µm and 210.2±67.2 µm, respectively, p<0.001). The area under the receiver operating characteristic curve for differentiating between healthy and glaucoma eyes was 0.90 for both the radial scan-based and cube scan-based BMO-MRW. No significant difference in the rate of BMO-MRW change (mean follow-up years) by scan pattern was found among both healthy (cube: −1.47 µm/year, radial: −1.53 µm/year; p=0.48) (1.6 years) and glaucoma eyes (cube: −2.37 µm/year, radial: −2.28 µm/year; p=0.45) (2.6 years). Conclusion Although the cube scan-based BMO-MRW was significantly smaller than the radial scan-based BMO-MRW, we found no significant difference between the two scan patterns for detecting glaucoma, identifying BMO location and measuring the rate of BMO-MRW change. These results suggest that although BMO-MRW estimates are not interchangeable, both scan patterns can be used for monitoring BMO-MRW changes over time.


British Journal of Ophthalmology | 2012

The effect of riboflavin–ultraviolet A-induced collagen cross-linking on intraocular pressure measurement: an experimental study

Eitan Livny; Igor Kaiserman; Naama Hammel; Tami Livnat; David Zadok; Kremer Israel; Irit Bahar

Purpose To investigate the effect of corneal collagen cross-linking (CCL) on tonopen measurements of intraocular pressure (IOP). Methods CCL with 0.1% riboflavin solution and 30 min of ultraviolet A radiation was performed on the right eye of 15 New Zealand albino adult rabbits (1.8–2.4 kg) (15 eyes). The left eye served as control. IOP was measured by a pressure transducer system (true IOP) and by the tonopen hand-held device (corneal applanation tonometer) before treatment, at 1 week, 1 month and 3 months following CCL. Reference pressure in the globe was increased by increments of 10 mm Hg from 10 to 40 mm Hg, using an anterior chamber infusion on a stand with variable height, and tonopen IOP measurements were recorded for each reference pressure in both eyes. Results Before CCL, tonopen readings were similar between the two eyes (p>0.05). Tonopen underestimated the true IOP in all cases. Following CCL treatment, IOP measurements were significantly higher in the treated eye, at all time intervals (0.005<p<0.03). The most significant difference between true and measured IOP was noted at a reference pressure of 20 mm Hg. Conclusions IOP measurements following CCL are overestimated by the tonopen, probably due to increased stiffness of the treated cornea.


American Journal of Ophthalmology | 2017

Comparing the Rates of Retinal Nerve Fiber Layer and Ganglion Cell–Inner Plexiform Layer Loss in Healthy Eyes and in Glaucoma Eyes

Naama Hammel; Akram Belghith; Robert N. Weinreb; Felipe A. Medeiros; Nadia Mendoza; Linda M. Zangwill


American Journal of Ophthalmology | 2018

A Longitudinal Analysis of Peripapillary Choroidal Thinning in Healthy and Glaucoma Subjects

Rusdeep S. Mundae; Linda M. Zangwill; Sami W. Kabbara; Naama Hammel; Christopher Bowd; Felipe A. Medeiros; Christopher A. Girkin; Jeffrey M. Liebmann; Robert N. Weinreb; Akram Belghith


Ophthalmology | 2018

The African Descent and Glaucoma Evaluation Study (ADAGES) III: Contribution of Genotype to Glaucoma Phenotype in African Americans: Study Design and Baseline Data

Linda M. Zangwill; Radha Ayyagari; Jeffrey M. Liebmann; Christopher A. Girkin; Robert M. Feldman; Harvey DuBiner; Keri Dirkes; Matthew Holmann; Eunice Williams-Steppe; Naama Hammel; Luke J. Saunders; Suzanne Vega; Kevin Sandow; Kathryn Roll; Rigby Slight; Daniel Auerbach; Brian C. Samuels; Joseph Panarelli; John P. Mitchell; Lama A. Al-Aswad; Sung Chul Park; Celso Tello; Jeremy Cotliar; Rajendra Bansal; Paul A. Sidoti; George A. Cioffi; Dana M. Blumberg; Robert Ritch; Nicholas P. Bell; Lauren S. Blieden


Investigative Ophthalmology & Visual Science | 2016

Diagnostic Innovations in Glaucoma Study (DIGS): Comparing the Rates of Macular Ganglion Cell layer loss in Healthy, non-progressing Glaucoma and progressing glaucoma Eyes

Naama Hammel; Akram Belghith; Felipe A. Medeiros; Luke J. Saunders; Saif Baig; Robert N. Weinreb; Linda M. Zangwill


Investigative Ophthalmology & Visual Science | 2013

Continuous Likelihood Ratios for Glaucoma Diagnosis Using the Combined Index of Structure and Function

Tammy Tung-Mei Kuang; Renato Lisboa; Andrew J. Tatham; Linda M. Zangwill; Robert N. Weinreb; Jeffrey M. Liebmann; Christopher A. Girkin; Naira Khachatryan; Naama Hammel; Felipe A. Medeiros

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Christopher A. Girkin

University of Alabama at Birmingham

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Jeffrey M. Liebmann

Columbia University Medical Center

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Akram Belghith

University of California

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Nadia Mendoza

University of California

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