Comparison of Peristat Online Perimetry with the Humphrey Perimetry in a Clinic-Based Setting

Eugene A Lowry, Jing Hou, Lauren Hennein, Robert T Chang, Shan Lin, Jeremy Keenan, Sean K Wang, Sean Ianchulev, Louis R Pasquale, Ying Han, Eugene A Lowry, Jing Hou, Lauren Hennein, Robert T Chang, Shan Lin, Jeremy Keenan, Sean K Wang, Sean Ianchulev, Louis R Pasquale, Ying Han

Abstract

Purpose: We determined the receiver operating characteristic (ROC) curves for Peristat online perimetry at detecting varying degrees of glaucoma and the correlation between Peristat online perimetry and Humphrey visual field.

Methods: A prospective, comparative study of Peristat online perimetry (an achromatic static computer threshold testing program) and Humphrey visual field (HVF) 24-2 SITA standard testing was performed by 63 glaucoma patients and 30 healthy controls in random order. The number of total adjacent abnormal test points were identified for each test, and compared with Spearman correlation. Receive operating characteristic curves were generated for Peristat online perimetry detection of mild and moderate-severe glaucoma patients using contrast sensitivity thresholds of -16.7, -21.7, and -26.7 dB.

Results: The area under the ROC curve for glaucoma detection ranged from 0.77 to 0.81 for mild disease (mean deviation [MD], >-6 dB on HVF) and 0.85 to 0.87 for moderate to severe disease (MD, <-6 dB on HVF) depending on contrast threshold. Peristat online perimetry and Humphrey visual field abnormal points were highly correlated with Spearman rank correlations ranging from 0.55 to 0.77 (all P < 0.001).

Conclusions: Peristat online perimetry exhibits a reasonable ROC curve without specialized equipment and exhibited significant correlation with the conventional 24° Humphrey visual field test.

Translational relevance: Low cost widely available internet-based visual fields may complement traditional office-based visual field testing.

Keywords: glaucoma; online; perimetry; visual field.

Conflict of interest statement

Dr. Pasquale is author of a patent on the blue arc test for glaucoma owned by Mass Eye and Ear Infirmary (US patent 6,758,823.B2. 2004 Jul 6). The blue arc test is a computer-based test to detect glaucoma that leverages the blue arc entoptic phenomenon. There are no conflicting relationships for the other authors.

Figures

Figure 1
Figure 1
(A, B) Peristat online perimetry. Patients were instructed to fix their vision on a central white circle at such a distance that the blinking green circles would disappear in their blind spot. High contrast stimuli were initially presented in the central visual area to establish a baseline response pattern followed by peripheral stimuli of varying intensity (left). Patients were instructed to respond to each stimulus by pressing the computer space bar. The errors were recorded to create a plot of visual field defects at −16.7, −21.7, and −26.7 dB contrast sensitivities (right).
Figure 2
Figure 2
(A, B) Scatterplots showing the number of missed adjacent Peristat points against missed adjacent Humphrey visual field points for total deviation (left) and pattern deviation (right). Peristat missed points are shown at −26.7, −21.7, and −16.7 dB while HVF points are shown at 5%, 2%, 1%, and 0.5%. Spearman correlation coefficients (ρ) are shown in right lower corner for each scatterplot; all were significant at the P < 0.001 level after Bonferroni adjustment.
Figure 3
Figure 3
(A, B) Receiver operating characteristic (ROC) curves for Peristat detection of patients with glaucoma severity equal or greater than mild glaucoma (0.81, 0.77, 0.77) or moderate glaucoma (0.87, 0.85, 0.85) at low (−16.7 dB), medium (−21.7 dB), and high (−26.7 dB) contrast sensitivity, respectively.

References

    1. Quigley HA,, Broman AT. The number of people with glaucoma worldwide in 2010 and 2020. Br J Ophthalmol. 2006; 90: 262–267.
    1. Friedman DS,, Wolfs RC,, O'Colmain BJ,, et al. Prevalence of open-angle glaucoma among adults in the united states. Arch Ophthalmol. 2004; 122: 532–538.
    1. American Academy of Ophthalmology Preferred Practice Patterns Committee. Comprehensive adult medical eye evaluation. November 2015. Available: .
    1. Antony K,, Genser D,, Froschl B. Validity and cost-effectiveness of methods for screening of primary open angle glaucoma. GMS Health Technol Assess. 2007. ; 3:Doc01.
    1. Wong EY,, Keeffe JE,, Rait JL,, et al. Detection of undiagnosed glaucoma by eye health professionals. Ophthalmology. 2004; 111: 1508–1514.
    1. Centers for Medicare and Medicaid Services. Physician fee schedule search visual field examination. Available at: . Updated 2015. Accessed December 5, 2015.
    1. Elam AR,, Lee PP. High-risk populations for vision loss and eye care underutilization: A review of the literature and ideas on moving forward. Surv Ophthalmol. 2013; 58: 348–358.
    1. Gower EW,, Silverman E,, Cassard SD,, Williams SK,, Baldonado K,, Friedman DS. Barriers to attending an eye examination after vision screening referral within a vulnerable population. J Health Care Poor Underserved. 2013; 24: 1042–1052.
    1. Owsley C,, McGwin G,, Scilley K,, Girkin CA,, Phillips JM,, Searcey K. Perceived barriers to care and attitudes about vision and eye care: Focus groups with older African Americans and eye care providers. Invest Ophthalmol Vis Sci. 2006; 47: 2797–2802.
    1. Keltner JL,, Johnson CA,, Quigg JM,, Cello KE,, Kass MA,, Gordon MO. Confirmation of visual field abnormalities in the ocular hypertension treatment study. ocular hypertension treatment study group. Arch Ophthalmol. 2000; 118: 1187–1194.
    1. Chauhan BC,, Garway-Heath DF,, Goni FJ,, et al. Practical recommendations for measuring rates of visual field change in glaucoma. Br J Ophthalmol. 2008; 92: 569–573.
    1. Friedman DS,, Nordstrom B,, Mozaffari E,, Quigley HA. Glaucoma management among individuals enrolled in a single comprehensive insurance plan. Ophthalmology. 2005; 112: 1500–1504.
    1. Mc Kinstry B,, Hanley J,, Lewis S. Telemonitoring in the management of high blood pressure. Curr Pharm Des. 2015; 21: 823–827.
    1. Robin TA,, Muller A,, Rait J,, Keeffe JE,, Taylor HR,, Mukesh BN. Performance of community-based glaucoma screening using frequency doubling technology and Heidelberg retinal tomography. Ophthalmic Epidemiol. 2005; 12: 167–178.
    1. Raza AS,, Zhang X,, De Moraes CG,, et al. Improving glaucoma detection using spatially correspondent clusters of damage and by combining standard automated perimetry and optical coherence tomography. Invest Ophthalmol Vis Sci. 2014; 55: 612–624.
    1. Mohammadi SF,, Mirhadi S,, Mehrjardi HZ,, et al. An algorithm for glaucoma screening in clinical settings and its preliminary performance profile. J Ophthalmic Vis Res. 2013; 8: 314–320.
    1. Ianchulev T,, Pham P,, Makarov V,, Francis B,, Minckler D. Peristat: A computer-based perimetry self-test for cost-effective population screening of glaucoma. Curr Eye Res. 2005; 30: 1–6.
    1. Sharma AK,, Goldberg I,, Graham SL,, Mohsin M. Comparison of the Humphrey Swedish interactive thresholding algorithm (SITA) and full threshold strategies. J Glaucoma. 2000; 9: 20–27.
    1. Hodapp E,, Parrish RI,, Anderson D. Clinical Decisions in Glaucoma. St. Louis: The CV Mosby Co; 1993.
    1. Brusini P,, Salvetat ML,, Parisi L,, Zeppieri M. Probing glaucoma visual damage by rarebit perimetry. Br J Ophthalmol. 2005; 89: 180–184.
    1. Racette L,, Medeiros FA,, Zangwill LM,, Ng D,, Weinreb RN,, Sample PA. Diagnostic accuracy of the matrix 24-2 and original N-30 frequency-doubling technology tests compared with standard automated perimetry. Invest Ophthalmol Vis Sci. 2008; 49: 954–960.
    1. Spry PG,, Hussin HM,, Sparrow JM. Clinical evaluation of frequency doubling technology perimetry using the Humphrey matrix 24-2 threshold strategy. Br J Ophthalmol. 2005; 89: 1031–1035.
    1. Liu S,, Lam S,, Weinreb RN,, et al. Comparison of standard automated perimetry, frequency-doubling technology perimetry, and short-wavelength automated perimetry for detection of glaucoma. Invest Ophthalmol Vis Sci. 2011; 52: 7325–7331.
    1. Clement CI,, Goldberg I,, Healey PR,, Graham S. Humphrey matrix frequency doubling perimetry for detection of visual-field defects in open-angle glaucoma. Br J Ophthalmol. 2009; 93: 582–588.
    1. Ivers RQ,, Optom B,, Macaskill P,, Cumming RG,, Mitchell P. Sensitivity and specificity of tests to detect eye disease in an older population. Ophthalmology. 2001; 108: 968–975.
    1. Nomoto H,, Matsumoto C,, Takada S,, et al. Detectability of glaucomatous changes using SAP, FDT, flicker perimetry, and OCT. J Glaucoma. 2009; 18: 165–171.
    1. Cello KE,, Nelson-Quigg JM,, Johnson CA. Frequency doubling technology perimetry for detection of glaucomatous visual field loss. Am J Ophthalmol. 2000; 129: 314–322.
    1. Brusini P,, Salvetat ML,, Zeppieri M,, Parisi L. Frequency doubling technology perimetry with the Humphrey matrix 30-2 test. J Glaucoma. 2006; 15: 77–83.
    1. Cellini M,, Toschi PG,, Strobbe E,, Balducci N,, Campos EC. Frequency doubling technology optical coherence technology and pattern electroretinogram in ocular hypertension. BMC Ophthalmol. 2012. ; 12: 33.
    1. Vitale S,, Smith TD,, Quigley T,, et al. Screening performance of functional and structural measurements of neural damage in open-angle glaucoma: a case-control study from the baltimore eye survey. J Glaucoma. 2000; 9: 346–356.
    1. Wang F,, Tielsch JM,, Ford DE,, Quigley HA,, Whelton PK. Evaluation of screening schemes for eye disease in a primary care setting. Ophthalmic Epidemiol. 1998; 5: 69–82.
    1. Naithani P,, Sihota R,, Sony P,, et al. Evaluation of optical coherence tomography and Heidelberg retinal tomography parameters in detecting early and moderate glaucoma. Invest Ophthalmol Vis Sci. 2007; 48: 3138–3145.
    1. Medeiros FA,, Zangwill LM,, Bowd C,, Mohammadi K,, Weinreb RN. Comparison of scanning laser polarimetry using variable corneal compensation and retinal nerve fiber layer photography for detection of glaucoma. Arch Ophthalmol. 2004; 122: 698–704.

Source: PubMed

3
Abonnere