Functional mapping of the central retina: a PRISMA-guided systematic review comparing microperimetry and standard automated perimetry

Authors

DOI:

https://doi.org/10.18203/2394-6040.ijcmph20261046

Keywords:

Microperimetry, Standard automated perimetry, MP-1, MAIA, MP-3, Optical coherence tomography, Age-related macular degeneration, Diabetic macular oedema

Abstract

Microperimetry (MP), also referred to as fundus-controlled perimetry, enables retinal sensitivity (RS) assessment with real-time eye tracking and direct fundus visualisation. Standard automated perimetry (SAP), commonly performed using the Humphrey field analyser (HFA), remains the clinical standard for visual field evaluation. A systematic literature search of PubMed, Scopus, and Web of Science was conducted to identify adult human studies directly comparing MP (MP-1, MAIA, MP-3) with SAP. Inclusion criteria comprised within-subject comparative designs, quantitative RS outcomes, and peer-reviewed English-language publications. Data extracted included RS measures, fixation stability indices, structure, function correlations with optical coherence tomography (OCT), reproducibility metrics, and clinical applicability. Study selection and synthesis followed PRISMA guidelines. Due to methodological heterogeneity, a narrative comparative synthesis was performed. Comparative evidence across glaucoma, diabetic macular oedema, (DME) retinitis pigmentosa, and other macular disorders demonstrated good agreement between MP and SAP for central visual field sensitivity. MP consistently provided superior fixation control, improved test-retest reliability, and closer spatial correlation with OCT-derived structural parameters. In macular-predominant or early central disease, MP is frequently identified with localised functional deficits not evident on SAP. Conversely, SAP remained superior for peripheral visual field assessment and global disease staging. MP offers a precise and reproducible assessment of central retinal function, particularly valuable in macular disease and central glaucomatous damage. SAP remains indispensable for peripheral field evaluation. An integrated use of MP and SAP provides the most comprehensive strategy for clinical assessment and longitudinal monitoring.

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Author Biographies

Mahesh Chandra, Department of Optometry, Dr. Sushila Tewari Hospital and Government Medical College, Haldwani, Uttarakhand, India

(PhD in Clinical Optometry)

Senior Optometrist

Department of Optometry

 

Jitendra Singh, Clear Vision, (eye care centre), Sec-29, Faridabad, Haryana, India

DEPARTMENT OF OPTOMETRY,

SENIOR OPTOMETRIST

PHD IN CLINICAL OPTOMETRY

Gaurav Dubey, Department of Optometry, Uttar Pradesh University of Medical Sciences, Saifai, Etawah, U. P., India

Optometry Resident (PhD Optometry),

Department of Optometry,

Imran Ahmad Ansari, Bareilly Institute of Paramedical Sciences, Bareilly, U. P., India

Assistant professor

Department of Optometry

Abhinav Singh Rathore, Department of Optometry, Mahent Avaidhyanath Paramedical College, Mahayogi Gorakhnath University, Gorakhpur, U. P., India

Assistant professor

Department of Optometry

Vishnu Datt Tewari, Department of Optometry, Divya College of Health Sciences, Maharajganj, U. P., India

Assistant Professor,

Department of Optometry

Ayush Jha, Jeewan Dan Medical Center, Moti Nagar, Haldwani, Uttarkhand, India

Optometrist

References

Acton JH, Greenstein VC. Fundus-driven perimetry (microperimetry) compared to conventional static automated perimetry: similarities, differences, and clinical applications. Can J Ophthalmol. 2013;48(5):358-63. DOI: https://doi.org/10.1016/j.jcjo.2013.03.021

Vujosevic S, Midena E, Pilotto E, Radin PP, Chiesa L, Cavarzeran F. Diabetic macular edema: correlation between microperimetry and optical coherence tomography findings. Invest Ophthalmol Vis Sci. 2006;47(7):3044-51. DOI: https://doi.org/10.1167/iovs.05-1141

Acton JH, Bartlett NS, Greenstein VC. Comparing the Nidek MP-1 and Humphrey field analyzer in normal subjects. Optom Vis Sci. 2011;88(11):1288-97. DOI: https://doi.org/10.1097/OPX.0b013e31822b3746

Acton JH, Smith RT, Greenberg JP, Greenstein VC. Comparison between MP-1 and Humphrey visual field defects in glaucoma and retinitis pigmentosa. Optom Vis Sci. 2012;89(7):1050-8. DOI: https://doi.org/10.1097/OPX.0b013e31825da18c

Tian T, Cai Y, Li M, Fang Y, Pan Y. A Comparison Among Microperimetry, Standard Automated Perimetry and Spectral Domain Optical Coherence Tomography in the Evaluation of the Macula in Glaucoma Eyes with Hemifield Defects. Ophthalmol Ther. 2022;11(1):239-48. DOI: https://doi.org/10.1007/s40123-021-00423-5

Inooka T, Tomita R, Kominami T, Mochizuki M, Nishiguchi KM, Yuki K. Comparison of the Humphrey Field Analyzer and MP-3 Microperimeter in Patients With Glaucoma, Classified by Severity and Misalignment of Test Points. Transl Vis Sci Technol. 2025;14(4):6. DOI: https://doi.org/10.1167/tvst.14.4.6

Lima VC, Prata TS, De Moraes CG, Kim J, Seiple W, Rosen RB, Liebmann JM, Ritch R. A comparison between microperimetry and standard achromatic perimetry of the central visual field in eyes with glaucomatous paracentral visual-field defects. Br J Ophthalmol. 2010;94(1):64-7. DOI: https://doi.org/10.1136/bjo.2009.159772

Mosca M, Rossi A, Sala R, Ratiglia R. Comparison among Standard Automated Perimetry, Microperimetry and macular Spectral Domain-OCT in glaucomatous eyes with localized visual field defects. Invest. Ophthalmol. Vis. Sci. 2015;56(7):633.

Tepelus TC, Song S, Nittala MG, Nassisi M, Sadda SR, Chopra V. Comparison and Correlation of Retinal Sensitivity Between Microperimetry and Standard Automated Perimetry in Low-tension Glaucoma. J Glaucoma. 2020;29(10):975-980. DOI: https://doi.org/10.1097/IJG.0000000000001599

Pilotto E, Convento E, Guidolin F, Abalsamo CK, Longhin E, Parrozzani R, et al. Microperimetry Features of Geographic Atrophy Identified With En Face Optical Coherence Tomography. JAMA Ophthalmol. 2016;134(8):873-9. DOI: https://doi.org/10.1001/jamaophthalmol.2016.1535

Laishram M, Srikanth K, Rajalakshmi AR, Nagarajan S, Ezhumalai G. Microperimetry-A New Tool for Assessing Retinal Sensitivity in Macular Diseases. J Clin Diagn Res. 2017;11(7):NC08-11. DOI: https://doi.org/10.7860/JCDR/2017/25799.10213

Forshaw TRJ, Parpounas AK, Sørensen TL. Correlation of macular sensitivity measures and visual acuity to vision-related quality of life in patients with age-related macular degeneration. BMC Ophthalmol. 2021;21(1):149. DOI: https://doi.org/10.1186/s12886-021-01901-x

Sugimoto M, Wakamatsu Y, Miyata R, Kato K, Matsubara H, Kondo M. Effectiveness of microperimetry in evaluating anti-vascular endothelial growth factor therapy for diabetic macular edema patients with relatively good vision: A retrospective observational study. Medicine (Baltimore). 2021;100(51):e28404. DOI: https://doi.org/10.1097/MD.0000000000028404

Boned-Murillo A, Diaz-Barreda MD, Ferreras A, Bartolomé-Sesé I, Orduna-Hospital E, Montes-Rodríguez P, et al. Structural and functional findings in patients with moderate diabetic retinopathy. Graefes Arch Clin Exp Ophthalmol. 2021;259(12):3625-35. DOI: https://doi.org/10.1007/s00417-021-05277-y

Scuderi L, Gattazzo I, de Paula A, Iodice CM, Di Tizio F, Perdicchi A. Understanding the role of microperimetry in glaucoma. Int Ophthalmol. 2022;42(7):2289-301. DOI: https://doi.org/10.1007/s10792-021-02203-3

Qian T, Xu X, Liu X, Yen M, Zhou H, Mao M, et al. Efficacy of MP-3 microperimeter biofeedback fixation training for low vision rehabilitation in patients with maculopathy. BMC Ophthalmol. 2022;22(1):197. DOI: https://doi.org/10.1186/s12886-022-02419-6

Liang S, Wang LT, Liu XL, Duan JL, Liu DY. MP-3 microperimeter in early primary open angle glaucoma with a new pattern. Int J Ophthalmol. 2024;17(5):861-8. DOI: https://doi.org/10.18240/ijo.2024.05.10

Ihsan G, Kwartika A, Widyanatha MI, Virgana R, Iskandar E, Kartasasmita AS. Early response of anti-vascular endothelial growth factor (anti-VEGF) in diabetic macular edema (DME) management: microperimetry and optical coherence tomography (OCT) findings: a pilot study at national eye center of third world country. BMC Ophthalmol. 2024;24(1):551. DOI: https://doi.org/10.1186/s12886-024-03744-8

Fujii GY, de Juan E Jr, Sunness J, Humayun MS, Pieramici DJ, Chang TS. Patient selection for macular translocation surgery using the scanning laser ophthalmoscope. Ophthalmology. 2002;109(9):1737-44. DOI: https://doi.org/10.1016/S0161-6420(02)01120-X

Rohrschneider K, Becker M, Krastel H. Static fundus perimetry using the scanning laser ophthalmoscope with an automated threshold strategy. Graefe's Arch Clin Exp Ophthalmol. 1995;233:743-9. DOI: https://doi.org/10.1007/BF00184084

Markowitz SN, Reyes SV. Microperimetry and clinical practice: an evidence-based review. Can J Ophthalmol. 2013;48 (5):350-7. DOI: https://doi.org/10.1016/j.jcjo.2012.03.004

Taylor LJ, Josan AS, Pfau M, Simunovic MP, Jolly JK. Scotopic microperimetry: evolution, applications and future directions. Clin Exp Optom. 2022;105(8):793-800. DOI: https://doi.org/10.1080/08164622.2021.2023477

Vujosevic S, Smolek MK, Lebow KA, Notaroberto N, Pallikaris A, Casciano M. Detection of macular function changes in early (AREDS 2) and intermediate (AREDS 3) age-related macular degeneration. Ophthalmologica. 2011;225(3):155-60. DOI: https://doi.org/10.1159/000320340

Wu Z, Cunefare D, Chiu E, Luu CD, Ayton LN, Toth CA, et al. Longitudinal Associations Between Microstructural Changes and Microperimetry in the Early Stages of Age-Related Macular Degeneration. Invest Ophthalmol Vis Sci. 2016;57(8):3714-22. DOI: https://doi.org/10.1167/iovs.15-18294

Iwama D, Tsujikawa A, Ojima Y, Nakanishi H, Yamashiro K, Tamura H, et al. Relationship between retinal sensitivity and morphologic changes in eyes with confluent soft drusen. Clin Exp Ophthalmol. 2010;38(5):483-8. DOI: https://doi.org/10.1111/j.1442-9071.2010.02294.x

Sulzbacher F, Kiss C, Kaider A, Eisenkoelbl S, Munk M, Roberts P, et al. Correlation of SD-OCT features and retinal sensitivity in neovascular age-related macular degeneration. Invest Ophthalmol Vis Sci. 2012;53(10):6448-55. DOI: https://doi.org/10.1167/iovs.11-9162

Squirrell DM, Mawer NP, Mody CH, Brand CS. Visual outcome after intravitreal ranibizumab for wet age-related macular degeneration: a comparison between best-corrected visual acuity and microperimetry. Retina. 2010;30(3):436-42. DOI: https://doi.org/10.1097/IAE.0b013e3181bd2f29

Molina-Martín A, Pérez-Cambrodí RJ, Piñero DP. Current Clinical Application of Microperimetry: A Review. Semin Ophthalmol. 2018;33(5):620-628. DOI: https://doi.org/10.1080/08820538.2017.1375125

Seiple W, Rosen RB, Castro-Lima V, Garcia PM. The physics and psychophysics of microperimetry. Optom Vis Sci. 2012;89(8):1182-91. DOI: https://doi.org/10.1097/OPX.0b013e3182640c83

Chen FK, Patel PJ, Webster AR, Coffey PJ, Tufail A, Da Cruz L. Nidek MP1 is able to detect subtle decline in function in inherited and age-related atrophic macular disease with stable visual acuity. Retina. 2011;31(2):371-9. DOI: https://doi.org/10.1097/IAE.0b013e3181e46af3

Rodrigues Neto TDS, Silva Neto EDD, Higashi AH, Megnis BP, Haddad MAO, Monteiro MLR, et al. Normative data for macular perimetry using the MP-3 microperimeter in healthy individuals. Arq Bras Oftalmol. 2023;87(5):e20210472. DOI: https://doi.org/10.5935/0004-2749.2021-0472

Springer C, Bültmann S, Völcker HE, Rohrschneider K. Fundus perimetry with the Micro Perimeter 1 in normal individuals: comparison with conventional threshold perimetry. Ophthalmology. 2005;112(5):848-54. DOI: https://doi.org/10.1016/j.ophtha.2004.11.051

Kim KT, Chae JB, Lee S. Analyses of the effects of persistent subretinal fluid on visual/anatomic outcomes according to the type of macular neovascularization during the relaxed treat-and-extend protocol in age-related macular degeneration patients. BMC Ophthalmol. 2021;21:294. DOI: https://doi.org/10.1186/s12886-021-02063-6

Ozdemir H, Karacorlu M, Senturk F, Karacorlu SA, Uysal O. Microperimetric changes after intravitreal bevacizumab injection for exudative age-related macular degeneration. Acta Ophthalmol. 2012;90(1):71-5. DOI: https://doi.org/10.1111/j.1755-3768.2009.01838.x

Hood DC, Lin CE, Lazow MA, Locke KG, Zhang X, Birch DG. Thickness of receptor and post-receptor retinal layers in patients with retinitis pigmentosa measured with frequency-domain optical coherence tomography. Invest Ophthalmol Vis Sci. 2009;50(5):2328-36. DOI: https://doi.org/10.1167/iovs.08-2936

Asahina Y, Kitano M, Hashimoto Y, Yanagisawa M, Murata H, Inoue T, et al. The structure-function relationship measured with optical coherence tomography and a microperimeter with auto-tracking: the MP-3, in patients with retinitis pigmentosa. Sci Rep. 2017;7(1):15766. DOI: https://doi.org/10.1038/s41598-017-16143-5

Hsiao YT, Huang HM, Chen TC, Lo J, Chen YJ, Kuo HK, et al. Parafoveal Microperimetric Retinal Sensitivity as a Key Parameter Associated with Vision Loss in Retinitis Pigmentosa. Diagnostics (Basel). 2024;14(23):2691. DOI: https://doi.org/10.3390/diagnostics14232691

Cideciyan AV, Swider M, Aleman TS, Feuer WJ, Schwartz SB, Russell RC, et al. Macular function in macular degenerations: repeatability of microperimetry as a potential outcome measure for ABCA4-associated retinopathy trials. Invest Ophthalmol Vis Sci. 2012;53(2):841-52. DOI: https://doi.org/10.1167/iovs.11-8415

Testa F, Rossi S, Sodi A, Passerini I, Di Iorio V, Della Corte M, et al. Correlation between photoreceptor layer integrity and visual function in patients with Stargardt disease: implications for gene therapy. Invest Ophthalmol Vis Sci. 2012;53(8):4409-15. DOI: https://doi.org/10.1167/iovs.11-8201

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Published

2026-03-31

How to Cite

Chandra, M., Singh, J., Dubey, G., Ansari, I. A., Rathore, A. S., Tewari, V. D., & Jha, A. (2026). Functional mapping of the central retina: a PRISMA-guided systematic review comparing microperimetry and standard automated perimetry. International Journal Of Community Medicine And Public Health, 13(4), 2022–2031. https://doi.org/10.18203/2394-6040.ijcmph20261046

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Section

Systematic Reviews