מידע לרופאים

Kaliner E, Cohen MJ, Miron H, Kogan M, Blumenthal EZ. Ophthalmology. 2007 Dec;114(12):2259-64. Department of Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel. ABSTRACT: PURPOSE: The presence of retinal nerve fiber layer (RNFL) split bundles recently was described in normal eyes scanned using scanning laser polarimetry. In this study, the authors set out to ascertain whether […]

Blumenthal EZ, Williams JM, Weinreb RN, Girkin CA, Berry CC, Zangwill LM. Ophthalmology. 2000 Dec;107(12):2278-82. Glaucoma Center and Diagnostic Imaging Laboratory, Department of Ophthalmology, University of California, San Diego, USA. ABSTRACT: OBJECTIVE: To evaluate the reproducibility of optical coherence tomograph (OCT) retinal nerve fiber layer (RNFL) measurements in normal and glaucomatous eyes by means of

Blumenthal EZ, Serpetopoulos CN. Ophthalmology. 2000 Feb;107(2):329-33. Department of Ophthalmology, Hadassah University Hospital, and Hebrew University-Hadassah Medical School, Jerusalem, Israel. ABSTRACT: PURPOSE: Meaningful errors in photocoagulation spot size may result from several factors. In this article we discuss one major factor, namely, fluctuations in the surgeon’s accommodative state, coupled with an inaccurate setting of the

Frenkel S, Katz S, Horani A, Kaiserman I, Asleh SA, Blumenthal EZ. Ann Ophthalmol (Skokie). 2006 Fall;38(3):195-9. Department of Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel. eblumenthal@md.huji.ac.il ABSTRACT: Four masked examiners studied the usefulness of the glass-rod for estimating intraocular pressure (IOP) in a living, anesthetized rabbit eye manometrically set to 135 different random values.

Blumenthal EZ, Sample PA, Zangwill L, Lee AC, Kono Y, Weinreb RN. Am J Ophthalmol. 2000 Mar;129(3):309-13. Glaucoma Center and Visual Function Laboratory, Department of Ophthalmology, University of California, San Diego, CA, USA. ABSTRACT: PURPOSE: To quantify and compare, on a point-by-point basis, the long-term variability of standard and short-wavelength automated perimetry in a group

Zangwill LM, Bowd C, Berry CC, Williams J, Blumenthal EZ, Sanchez-Galeana CA, Vasile C, Weinreb RN. Archives of Ophthalmology 2001;119(7):985-993 Glaucoma Center, Department of Ophthalmology, University of California-San Diego, La Jolla, CA 92093-0946, USA. ABSTRACT: OBJECTIVE: To compare the ability of 3 instruments, the Heidelberg Retina Tomograph (HRT), the GDx Nerve Fiber Analyzer (GDx), and

Sanchez-Galeana C, Bowd C, Blumenthal EZ, Gokhale PA, Zangwill LM, Weinreb RN. Ophthalmology. 2001 Oct;108(10):1812-8. Glaucoma Center, University of California San Diego, La Jolla, California 92093-0946, USA. ABSTRACT: PURPOSE: To evaluate the sensitivity and specificity for discriminating between early to moderate glaucomatous and normal eyes using summary data reports from the Heidelberg Retina Tomograph (HRT),

Bowd C, Zangwill LM, Berry CC, Blumenthal EZ, Vasile C, Sanchez-Galeana C, Bosworth CF, Sample PA, Weinreb RN. Invest Ophthalmol Vis Sci. 2001 Aug;42(9):1993-2003. Glaucoma Center, Department of Ophthalmology, University of California San Diego, La Jolla 92093-0946, USA. ABSTRACT: PURPOSE: To compare the abilities of scanning laser polarimetry (SLP), optical coherence tomography (OCT), short-wavelength automated

Bowd C, Zangwill LM, Blumenthal EZ, Vasile C, Boehm AG, Gokhale PA, Mohammadi K, Amini P, Sankary TM, Weinreb RN. J Opt Soc Am A Opt Image Sci Vis. 2002 Jan;19(1):197-207. Glaucoma Center, Department of Ophthalmology, University of California, San Diego, La Jolla 92093-0946, USA. cbowd@eyecenter.ucsd.edu ABSTRACT: We cross-sectionally examined the relationship between age, optic

Goldbaum MH, Sample PA, Chan K, Williams J, Lee TW, Blumenthal E, Girkin CA, Zangwill LM, Bowd C, Sejnowski T, Weinreb RN. Invest Ophthalmol Vis Sci. 2002 Jan;43(1):162-9. Ophthalmic Informatics Laboratory, Department of Ophthalmology, University of California at San Diego, La Jolla, California, USA. mgoldbaum@ucsd.edu ABSTRACT: PURPOSE: To determine which machine learning classifier learns best