Glaucoma detection with matrix and standard achromatic perimetry
Background: Matrix perimetry is a new iteration of frequency-doubling technology (FDT) which uses a smaller target size in the standard achromatic perimetry presentation pattern. Aim: To compare the performance of matrix and Swedish interactive thresholding algorithm (SITA) perimetry in detecting gl...
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| Published in: | British journal of ophthalmology Vol. 91; no. 7; pp. 933 - 938 |
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| Main Authors: | , , , , , , , |
| Format: | Journal Article |
| Language: | English |
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BMA House, Tavistock Square, London, WC1H 9JR
BMJ Publishing Group Ltd
01.07.2007
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| ISSN: | 0007-1161, 1468-2079 |
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| Abstract | Background: Matrix perimetry is a new iteration of frequency-doubling technology (FDT) which uses a smaller target size in the standard achromatic perimetry presentation pattern. Aim: To compare the performance of matrix and Swedish interactive thresholding algorithm (SITA) perimetry in detecting glaucoma diagnosed by structural assessment. Design: Prospective cross-sectional study. Methods: 76 eyes from 15 healthy subjects and 61 consecutive glaucoma suspects and patients with glaucoma were included. All patients underwent optic nerve head (ONH) photography, SITA and matrix perimetries, and optical coherence tomography (OCT) within a 6-month period. Glaucoma diagnosis was established by either glaucomatous optic neuropathy or OCT by assessing retinal nerve fibre layer (RNFL) thickness. Mean deviation (MD), pattern standard deviation (PSD), glaucoma hemifield test and cluster of abnormal testing locations were recorded from matrix and SITA perimetries. Results: Similar correlations were observed with matrix and SITA perimetry MD and PSD with either cup-to-disc ratio or OCT mean RNFL. The area under the receiver operating characteristic (AROC) curves of MD and PSD for discriminating between healthy and glaucomatous eyes ranged from 0.69 to 0.81 for matrix perimetry and from 0.75 to 0.77 for SITA perimetry. There were no significant differences among any corresponding matrix and SITA perimetry AROCs. Conclusions: Matrix and SITA perimetries had similar capabilities for distinguishing between healthy and glaucomatous eyes regardless of whether the diagnosis was established by ONH or OCT–RNFL assessment. |
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| AbstractList | Background: Matrix perimetry is a new iteration of frequency-doubling technology (FDT) which uses a smaller target size in the standard achromatic perimetry presentation pattern. Aim: To compare the performance of matrix and Swedish interactive thresholding algorithm (SITA) perimetry in detecting glaucoma diagnosed by structural assessment. Design: Prospective cross-sectional study. Methods: 76 eyes from 15 healthy subjects and 61 consecutive glaucoma suspects and patients with glaucoma were included. All patients underwent optic nerve head (ONH) photography, SITA and matrix perimetries, and optical coherence tomography (OCT) within a 6-month period. Glaucoma diagnosis was established by either glaucomatous optic neuropathy or OCT by assessing retinal nerve fibre layer (RNFL) thickness. Mean deviation (MD), pattern standard deviation (PSD), glaucoma hemifield test and cluster of abnormal testing locations were recorded from matrix and SITA perimetries. Results: Similar correlations were observed with matrix and SITA perimetry MD and PSD with either cup-to-disc ratio or OCT mean RNFL. The area under the receiver operating characteristic (AROC) curves of MD and PSD for discriminating between healthy and glaucomatous eyes ranged from 0.69 to 0.81 for matrix perimetry and from 0.75 to 0.77 for SITA perimetry. There were no significant differences among any corresponding matrix and SITA perimetry AROCs. Conclusions: Matrix and SITA perimetries had similar capabilities for distinguishing between healthy and glaucomatous eyes regardless of whether the diagnosis was established by ONH or OCT–RNFL assessment. Matrix perimetry is a new iteration of frequency-doubling technology (FDT) which uses a smaller target size in the standard achromatic perimetry presentation pattern.BACKGROUNDMatrix perimetry is a new iteration of frequency-doubling technology (FDT) which uses a smaller target size in the standard achromatic perimetry presentation pattern.To compare the performance of matrix and Swedish interactive thresholding algorithm (SITA) perimetry in detecting glaucoma diagnosed by structural assessment.AIMTo compare the performance of matrix and Swedish interactive thresholding algorithm (SITA) perimetry in detecting glaucoma diagnosed by structural assessment.Prospective cross-sectional study.DESIGNProspective cross-sectional study.76 eyes from 15 healthy subjects and 61 consecutive glaucoma suspects and patients with glaucoma were included. All patients underwent optic nerve head (ONH) photography, SITA and matrix perimetries, and optical coherence tomography (OCT) within a 6-month period. Glaucoma diagnosis was established by either glaucomatous optic neuropathy or OCT by assessing retinal nerve fibre layer (RNFL) thickness. Mean deviation (MD), pattern standard deviation (PSD), glaucoma hemifield test and cluster of abnormal testing locations were recorded from matrix and SITA perimetries.METHODS76 eyes from 15 healthy subjects and 61 consecutive glaucoma suspects and patients with glaucoma were included. All patients underwent optic nerve head (ONH) photography, SITA and matrix perimetries, and optical coherence tomography (OCT) within a 6-month period. Glaucoma diagnosis was established by either glaucomatous optic neuropathy or OCT by assessing retinal nerve fibre layer (RNFL) thickness. Mean deviation (MD), pattern standard deviation (PSD), glaucoma hemifield test and cluster of abnormal testing locations were recorded from matrix and SITA perimetries.Similar correlations were observed with matrix and SITA perimetry MD and PSD with either cup-to-disc ratio or OCT mean RNFL. The area under the receiver operating characteristic (AROC) curves of MD and PSD for discriminating between healthy and glaucomatous eyes ranged from 0.69 to 0.81 for matrix perimetry and from 0.75 to 0.77 for SITA perimetry. There were no significant differences among any corresponding matrix and SITA perimetry AROCs.RESULTSSimilar correlations were observed with matrix and SITA perimetry MD and PSD with either cup-to-disc ratio or OCT mean RNFL. The area under the receiver operating characteristic (AROC) curves of MD and PSD for discriminating between healthy and glaucomatous eyes ranged from 0.69 to 0.81 for matrix perimetry and from 0.75 to 0.77 for SITA perimetry. There were no significant differences among any corresponding matrix and SITA perimetry AROCs.Matrix and SITA perimetries had similar capabilities for distinguishing between healthy and glaucomatous eyes regardless of whether the diagnosis was established by ONH or OCT-RNFL assessment.CONCLUSIONSMatrix and SITA perimetries had similar capabilities for distinguishing between healthy and glaucomatous eyes regardless of whether the diagnosis was established by ONH or OCT-RNFL assessment. Matrix perimetry is a new iteration of frequency-doubling technology (FDT) which uses a smaller target size in the standard achromatic perimetry presentation pattern. To compare the performance of matrix and Swedish interactive thresholding algorithm (SITA) perimetry in detecting glaucoma diagnosed by structural assessment. Prospective cross-sectional study. 76 eyes from 15 healthy subjects and 61 consecutive glaucoma suspects and patients with glaucoma were included. All patients underwent optic nerve head (ONH) photography, SITA and matrix perimetries, and optical coherence tomography (OCT) within a 6-month period. Glaucoma diagnosis was established by either glaucomatous optic neuropathy or OCT by assessing retinal nerve fibre layer (RNFL) thickness. Mean deviation (MD), pattern standard deviation (PSD), glaucoma hemifield test and cluster of abnormal testing locations were recorded from matrix and SITA perimetries. Similar correlations were observed with matrix and SITA perimetry MD and PSD with either cup-to-disc ratio or OCT mean RNFL. The area under the receiver operating characteristic (AROC) curves of MD and PSD for discriminating between healthy and glaucomatous eyes ranged from 0.69 to 0.81 for matrix perimetry and from 0.75 to 0.77 for SITA perimetry. There were no significant differences among any corresponding matrix and SITA perimetry AROCs. Matrix and SITA perimetries had similar capabilities for distinguishing between healthy and glaucomatous eyes regardless of whether the diagnosis was established by ONH or OCT-RNFL assessment. |
| Author | Bilonick, Richard A Dilworth, William D Patel, Avni Burgansky-Eliash, Zvia Schuman, Joel S Wollstein, Gadi Ishikawa, Hiroshi Kagemann, Larry |
| AuthorAffiliation | Zvia Burgansky‐Eliash , Gadi Wollstein , Avni Patel , Richard A Bilonick , Hiroshi Ishikawa , Larry Kagemann , William D Dilworth , Joel S Schuman , Department of Ophthalmology, UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, University of Pittsburgh School of Medicine,Pittsburgh, Pennsylvania, USA |
| AuthorAffiliation_xml | – name: Zvia Burgansky‐Eliash , Gadi Wollstein , Avni Patel , Richard A Bilonick , Hiroshi Ishikawa , Larry Kagemann , William D Dilworth , Joel S Schuman , Department of Ophthalmology, UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, University of Pittsburgh School of Medicine,Pittsburgh, Pennsylvania, USA |
| Author_xml | – sequence: 1 givenname: Zvia surname: Burgansky-Eliash fullname: Burgansky-Eliash, Zvia organization: Department of Ophthalmology, UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, University of Pittsburgh School of Medicine,Pittsburgh, Pennsylvania, USA – sequence: 2 givenname: Gadi surname: Wollstein fullname: Wollstein, Gadi organization: Department of Ophthalmology, UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, University of Pittsburgh School of Medicine,Pittsburgh, Pennsylvania, USA – sequence: 3 givenname: Avni surname: Patel fullname: Patel, Avni organization: Department of Ophthalmology, UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, University of Pittsburgh School of Medicine,Pittsburgh, Pennsylvania, USA – sequence: 4 givenname: Richard A surname: Bilonick fullname: Bilonick, Richard A organization: Department of Ophthalmology, UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, University of Pittsburgh School of Medicine,Pittsburgh, Pennsylvania, USA – sequence: 5 givenname: Hiroshi surname: Ishikawa fullname: Ishikawa, Hiroshi organization: Department of Ophthalmology, UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, University of Pittsburgh School of Medicine,Pittsburgh, Pennsylvania, USA – sequence: 6 givenname: Larry surname: Kagemann fullname: Kagemann, Larry organization: Department of Ophthalmology, UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, University of Pittsburgh School of Medicine,Pittsburgh, Pennsylvania, USA – sequence: 7 givenname: William D surname: Dilworth fullname: Dilworth, William D organization: Department of Ophthalmology, UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, University of Pittsburgh School of Medicine,Pittsburgh, Pennsylvania, USA – sequence: 8 givenname: Joel S surname: Schuman fullname: Schuman, Joel S organization: Department of Ophthalmology, UPMC Eye Center, Eye and Ear Institute, Ophthalmology and Visual Science Research Center, University of Pittsburgh School of Medicine,Pittsburgh, Pennsylvania, USA |
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| Copyright | Copyright 2007 British Journal of Ophthalmology 2007 INIST-CNRS Copyright: 2007 Copyright 2007 British Journal of Ophthalmology Copyright © 2007 BMJ Publishing Group |
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| Keywords | Glaucoma Protozoa Achromatic Standard Perimetry Medical screening Standards Eye disease Glaucoma (eye) Ciliata Ophthalmology Detection Matrix system |
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| Notes | Correspondence to: Dr J S Schuman Department of Ophthalmology, UPMC Eye Center, Eye and Ear Institute, Suite 816, University of Pittsburgh School of Medicine, 203 Lothrop Street, Pittsburgh, PA 15213, USA; schumanjs@upmc.edu istex:B2EC63280243434578BC0E052584A8896D53F16D PMID:17215267 ark:/67375/NVC-N73276KF-7 href:bjophthalmol-91-933.pdf local:0910933 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Undefined-1 ObjectType-Feature-3 content type line 23 ZB‐E and GW had equal roles in preparation of the manuscript. |
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| Snippet | Background: Matrix perimetry is a new iteration of frequency-doubling technology (FDT) which uses a smaller target size in the standard achromatic perimetry... Matrix perimetry is a new iteration of frequency-doubling technology (FDT) which uses a smaller target size in the standard achromatic perimetry presentation... Background:Matrix perimetry is a new iteration of frequency-doubling technology (FDT) which uses a smaller target size in the standard achromatic perimetry... |
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| SubjectTerms | Adult Aged Algorithms area under the receiver operating characteristic AROC Biological and medical sciences C/D cup-to-disc Epidemiologic Methods Extended Report FDT frequency-doubling technology GHT Glaucoma Glaucoma - diagnosis Glaucoma and intraocular pressure glaucoma hemifield test glaucomatous optic neuropathy GON Humans intraocular pressure IOP mean deviation Medical sciences Middle Aged Miscellaneous Nerve Fibers - pathology OCT ONH Ophthalmology Optic Disk - pathology optic nerve head optical coherence tomography pattern standard deviation PSD Retinal Ganglion Cells - pathology retinal nerve fibre layer RNFL SAP SITA standard achromatic perimetry Swedish interactive thresholding algorithm Tomography, Optical Coherence visual field Visual Field Tests - methods Visual Fields |
| Title | Glaucoma detection with matrix and standard achromatic perimetry |
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