Literature DB >> 19184305

Interpretation of the Humphrey Matrix 24-2 test in the diagnosis of preperimetric glaucoma.

Jin A Choi1, Na Young Lee1, Chan Kee Park2,3.   

Abstract

PURPOSE: To define the diagnostic precision of the Humphrey Matrix 24-2 test and to determine a clinically applicable cutoff criterion for the inclusion of preperimetric glaucoma.
METHODS: Eyes with preperimetric glaucoma (99 eyes) were defined as having normal standard automated perimetry (SAP) results and a glaucomatous optic nerve head, along with one or more optical coherence tomography (OCT) parameters flagged as <0.05 or a retinal nerve fiber layer (RNFL) defect on red-free fundus photographs. Normal controls (122 eyes) were defined as having a normal optic disc and RNFL with normal SAP. Receiver-operating characteristic (ROC) curves were constructed to determine the best-discriminating parameter of the frequency-doubling technology (FDT) Matrix. The sensitivity, specificity, and hit ratio of all available criteria were calculated from the FDT Matrix.
RESULTS: Pattern standard deviation (PSD) showed a larger area under the ROC curve (AUC) (0.767) than mean deviation (MD) (0.619). A pattern deviation plot (PDP) analysis by modified Anderson criteria showed the highest discriminating power, with a sensitivity of 75.76%, followed by a PSD cutoff value of 3.14 dB (sensitivity, 73.74%).
CONCLUSIONS: FDT Matrix seems to be a valuable clinical tool in the detection of preperimetric glaucoma. Among the parameters of the FDT Matrix, PDP analysis by modified Anderson criteria may provide a reliable cutoff criterion.

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Year:  2009        PMID: 19184305     DOI: 10.1007/s10384-008-0604-0

Source DB:  PubMed          Journal:  Jpn J Ophthalmol        ISSN: 0021-5155            Impact factor:   2.447


  33 in total

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Authors:  J J Khong; P N Dimitrov; J Rait; C A McCarty
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2.  Frequency-doubling perimetry: comparison with standard automated perimetry to detect glaucoma.

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3.  Motion perception is abnormal in primary open-angle glaucoma and ocular hypertension.

Authors:  S E Silverman; G L Trick; W M Hart
Journal:  Invest Ophthalmol Vis Sci       Date:  1990-04       Impact factor: 4.799

4.  Number of ganglion cells in glaucoma eyes compared with threshold visual field tests in the same persons.

Authors:  L A Kerrigan-Baumrind; H A Quigley; M E Pease; D F Kerrigan; R S Mitchell
Journal:  Invest Ophthalmol Vis Sci       Date:  2000-03       Impact factor: 4.799

5.  Achromatic and short-wavelength automated perimetry in patients with glaucomatous large cups.

Authors:  S L Mansberger; P A Sample; L Zangwill; R N Weinreb
Journal:  Arch Ophthalmol       Date:  1999-11

6.  Clinical evaluation of frequency doubling technology perimetry using the Humphrey Matrix 24-2 threshold strategy.

Authors:  P G D Spry; H M Hussin; J M Sparrow
Journal:  Br J Ophthalmol       Date:  2005-08       Impact factor: 4.638

7.  Threshold and variability properties of matrix frequency-doubling technology and standard automated perimetry in glaucoma.

Authors:  Paul H Artes; Donna M Hutchison; Marcelo T Nicolela; Raymond P LeBlanc; Balwantray C Chauhan
Journal:  Invest Ophthalmol Vis Sci       Date:  2005-07       Impact factor: 4.799

8.  Frequency doubling perimetry and short-wavelength automated perimetry to detect early glaucoma.

Authors:  Narakorn Leeprechanon; Joann A Giaconi; Anita Manassakorn; Douglas Hoffman; Joseph Caprioli
Journal:  Ophthalmology       Date:  2007-03-30       Impact factor: 12.079

9.  Frequency doubling technology perimetry abnormalities as predictors of glaucomatous visual field loss.

Authors:  Felipe A Medeiros; Pamela A Sample; Robert N Weinreb
Journal:  Am J Ophthalmol       Date:  2004-05       Impact factor: 5.258

10.  Discriminating ability of Humphrey matrix perimetry in early glaucoma patients.

Authors:  Samin Hong; Woosuk Chung; Young Jae Hong; Gong Je Seong
Journal:  Ophthalmologica       Date:  2007       Impact factor: 3.250

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  3 in total

1.  Diagnostic capability of Pulsar perimetry in pre-perimetric and early glaucoma.

Authors:  Kazunori Hirasawa; Natsumi Takahashi; Kazuhiro Matsumura; Masayuki Kasahara; Nobuyuki Shoji
Journal:  Sci Rep       Date:  2017-06-12       Impact factor: 4.379

Review 2.  Current status and future trends of clinical diagnoses via image-based deep learning.

Authors:  Jie Xu; Kanmin Xue; Kang Zhang
Journal:  Theranostics       Date:  2019-10-12       Impact factor: 11.556

3.  Relationship between pattern electroretinogram and optic disc morphology in glaucoma.

Authors:  Soo Ji Jeon; Hae-Young Lopilly Park; Kyoung In Jung; Chan Kee Park
Journal:  PLoS One       Date:  2019-11-07       Impact factor: 3.240

  3 in total

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