Literature DB >> 26113498

Detection of asymmetric glaucomatous damage using automated pupillography, the swinging flashlight method and the magnified-assisted swinging flashlight method.

M Waisbourd1, B Lee1, M H Ali1, L Lu1, P Martinez1, B Faria1, A Williams1, M R Moster1, L J Katz1, G L Spaeth1.   

Abstract

PURPOSE: To determine the sensitivity and specificity of various methods of detecting a relative afferent pupillary defect (RAPD) in patients with glaucoma-related diagnoses. PATIENTS AND METHODS: Patients underwent RAPD evaluation using the swinging flashlight method (SFM), the magnifier-assisted SFM, and pupillography using the Konan RAPDx. Main outcome measures were sensitivity and specificity of three methods of RAPD evaluation in detecting visual field mean deviation (MD), cup to disc ratio (CDR), disc damage likelihood scale (DDLS), and retinal nerve fiber layer (RNFL) asymmetry.
RESULTS: Eighty-one consecutive patients from the Wills Eye Hospital glaucoma service were enrolled, 60 with glaucoma and 21 with ocular hypertension or glaucoma suspect. Thirty-one percent of subjects had MD asymmetry>5 dB, 19.7% had CDR asymmetry≥0.20, 26.7% had DDLS asymmetry≥2, and 38.2% had RNFL asymmetry>10 microns. Sensitivity values for pupillography were 93.3% (95% CI, 68.1-99.8) for detecting MD asymmetry, 80.0% (95% CI, 51.9-95.7) for CDR asymmetry, 100.0% (95% CI, 73.5-100.0) for DDLS asymmetry, and 69.2% (95% CI, 38.6-90.9) for RNFL asymmetry. Specificity values were 41.2% (95% CI, 24.7-59.3) for detecting MD asymmetry, 32.8% (95% CI, 21.3-46.0) for CDR asymmetry, 33.3% (95% CI, 18.0-51.8) for DDLS asymmetry, and 42.9% (95% CI, 21.8-66.0) for RNFL asymmetry. Pupillography amplitude score was correlated with MD asymmetry (r2=0.41, P<0.001) and area under the curve was 0.84.
CONCLUSION: Automated pupillography had higher sensitivity and lower specificity in detecting MD, CDR, DDLS, and RNFL asymmetry. Within the bounds of the cohort tested, this method had limited case-finding ability.

Entities:  

Mesh:

Year:  2015        PMID: 26113498      PMCID: PMC4815681          DOI: 10.1038/eye.2015.106

Source DB:  PubMed          Journal:  Eye (Lond)        ISSN: 0950-222X            Impact factor:   3.775


  27 in total

1.  Pupillary escape in disease of the retina or optic nerve.

Authors:  P LEVATIN
Journal:  Arch Ophthalmol       Date:  1959-11

2.  Associating the magnitude of relative afferent pupillary defect (RAPD) with visual field indices in glaucoma patients.

Authors:  Ulrich Schiefer; Janko Dietzsch; Klaus Dietz; Bärbel Wilhelm; Anna Bruckmann; Helmut Wilhelm; Veronique Kitiratschky; Kai Januschowski
Journal:  Br J Ophthalmol       Date:  2012-02-10       Impact factor: 4.638

3.  Asymmetry of pupillomotor input.

Authors:  H S Thompson; J J Corbett
Journal:  Eye (Lond)       Date:  1991       Impact factor: 3.775

4.  Correlation between intereye difference in visual field mean deviation values and relative afferent pupillary response as measured by an automated pupillometer in subjects with glaucoma.

Authors:  Daniel Sarezky; Theodore Krupin; Aaron Cohen; Charles Wm Stewart; Nicholas J Volpe; Angelo P Tanna
Journal:  J Glaucoma       Date:  2014-09       Impact factor: 2.503

Review 5.  Accuracy of pupil assessment for the detection of glaucoma: a systematic review and meta-analysis.

Authors:  Dolly S Chang; Li Xu; Michael V Boland; David S Friedman
Journal:  Ophthalmology       Date:  2013-06-25       Impact factor: 12.079

6.  Development and validation of an associative model for the detection of glaucoma using pupillography.

Authors:  Dolly S Chang; Karun S Arora; Michael V Boland; Wasu Supakontanasan; David S Friedman
Journal:  Am J Ophthalmol       Date:  2013-09-04       Impact factor: 5.258

7.  Variability of the relative afferent pupillary defect.

Authors:  A Kawasaki; P Moore; R H Kardon
Journal:  Am J Ophthalmol       Date:  1995-11       Impact factor: 5.258

8.  Glaucoma screening using relative afferent pupillary defect.

Authors:  Resmi A Charalel; Hugh S Lin; Kuldev Singh
Journal:  J Glaucoma       Date:  2014-03       Impact factor: 2.503

9.  Detecting glaucoma using automated pupillography.

Authors:  Andrew J Tatham; Daniel Meira-Freitas; Robert N Weinreb; Linda M Zangwill; Felipe A Medeiros
Journal:  Ophthalmology       Date:  2014-01-30       Impact factor: 12.079

10.  Symmetry of the pupillary light reflex and its relationship to retinal nerve fiber layer thickness and visual field defect.

Authors:  Dolly S Chang; Michael V Boland; Karun S Arora; Wasu Supakontanasan; Bei Bei Chen; David S Friedman
Journal:  Invest Ophthalmol Vis Sci       Date:  2013-08-19       Impact factor: 4.799

View more
  3 in total

1.  Evaluation of Relative Afferent Pupillary Defect Using RAPDx Device in Patients with Optic Nerve Disease.

Authors:  Tsukasa Satou; Hitoshi Ishikawa; Ken Asakawa; Toshiaki Goseki; Takahiro Niida; Kimiya Shimizu
Journal:  Neuroophthalmology       Date:  2016-04-14

2.  Perceptual Grouping During Binocular Rivalry in Mild Glaucoma.

Authors:  Galia Issashar Leibovitzh; Graham E Trope; Yvonne M Buys; Luminita Tarita-Nistor
Journal:  Front Aging Neurosci       Date:  2022-05-25       Impact factor: 5.702

3.  Effects of Age and Sex on Values Obtained by RAPDx® Pupillometer, and Determined the Standard Values for Detecting Relative Afferent Pupillary Defect.

Authors:  Tsukasa Satou; Toshiaki Goseki; Ken Asakawa; Hitoshi Ishikawa; Kimiya Shimizu
Journal:  Transl Vis Sci Technol       Date:  2016-04-28       Impact factor: 3.283

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.