Literature DB >> 28495907

Interdevice comparison of retinal sensitivity assessments in a healthy population: the CenterVue MAIA and the Nidek MP-3 microperimeters.

Siva Balasubramanian1,2, Akihito Uji1,2, Jianqin Lei1,2,3, Swetha Velaga1,2, Muneeswar Nittala1,2, SriniVas Sadda1,2.   

Abstract

BACKGROUND: To compare and correlate the retinal sensitivity measurements obtained with Nidek Microperimetry-3 (MP-3) and the CenterVue Macular Integrity Assessment (MAIA) microperimeters among healthy subjects.
METHODS: In this prospective comparative study, 31 eyes of 23 subjects underwent complete ophthalmological examination including retinal sensitivity assessments using two microperimeters, the MP-3 (Nidek Technologies) and the MAIA (CenterVue). The mean retinal sensitivity (dB) and its corresponding luminance (asb) and contrast (log units) were analysed between the two instruments. The interdevice reproducibility and level of agreement between the sensitivity values of the devices were assessed.
RESULTS: The mean retinal sensitivity (dB) measured by the MP-3 (25.02±1.06 dB, range: 20.90-26.70) was significantly (p<0.0001) lower compared with the MAIA (30.68±0.74 dB, range: 28-31.84). The luminosity levels were significantly (p<0.0001) higher with the MP3 (7.75±1.31 asb, range: 6.44-9.06) compared with the MAIA (0.92±0.14 asb, range: 0.78-1.06). The contrast sensitivity was significantly higher for the MP-3 (0.94±0.33 log units, range: 0.61-1.27) compared with the MAIA (0.23±0.03 log units, range: 0.20-0.26). Despite these absolute differences, the intraclass coefficient was 0.85 (95% CI 0.70 to 0.92) between the two devices after applying a standard correction factor to each data point (MAIA sensitivity=MP-3 sensitivity+5.65) with a mean difference between MAIA and MP-3 of 0.01.
CONCLUSION: Retinal sensitivity measures higher, but luminance and contrast sensitivity measure lower for MAIA-generated values compared with the MP-3. The relationships, however, appeared fairly consistent, and application of a standard correction factor allowed the data to be inter-related, at least for normal eyes. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Keywords:  imaging; retina

Mesh:

Year:  2017        PMID: 28495907     DOI: 10.1136/bjophthalmol-2017-310258

Source DB:  PubMed          Journal:  Br J Ophthalmol        ISSN: 0007-1161            Impact factor:   4.638


  10 in total

1.  Measuring of retina function using microperimetry in diabetic retinopathy.

Authors:  R Abreu-Gonzalez; M Alonso-Plasencia; M A Gómez-Culebras
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2021-11-27       Impact factor: 3.117

Review 2.  Understanding the role of microperimetry in glaucoma.

Authors:  Luca Scuderi; Irene Gattazzo; Alessandro de Paula; Clemente Maria Iodice; Federico Di Tizio; Andrea Perdicchi
Journal:  Int Ophthalmol       Date:  2022-01-30       Impact factor: 2.029

3.  Intravitreal ranibizumab improves macular sensitivity in patients with central retinal vein occlusion and macula edema.

Authors:  Taro Otawa; Hidetaka Noma; Kanako Yasuda; Akitomo Narimatsu; Masaki Asakage; Akina Tanaka; Hiroshi Goto; Masahiko Shimura
Journal:  BMC Ophthalmol       Date:  2022-06-04       Impact factor: 2.086

4.  Microperimetry in Age-Related Macular Degeneration: An Evidence-Base for Pattern Deviation Probability Analysis in Microperimetry.

Authors:  Nicola K Cassels; John M Wild; Tom H Margrain; Chris Blyth; Victor Chong; Jennifer H Acton
Journal:  Transl Vis Sci Technol       Date:  2019-12-31       Impact factor: 3.283

5.  Structure-Function Analysis in Macular Drusen With Mesopic and Scotopic Microperimetry.

Authors:  Giovanni Montesano; Giovanni Ometto; Bethany E Higgins; Costanza Iester; Konstantinos Balaskas; Adnan Tufail; Usha Chakravarthy; Ruth E Hogg; David P Crabb
Journal:  Transl Vis Sci Technol       Date:  2020-12-28       Impact factor: 3.283

6.  Microperimetry in hydroxychloroquine macular toxicity.

Authors:  Oswaldo Esteban Durán-Carrasco; Ruymán Rodríguez-Gil; Nicolás Pérez-Llombet-Quintana; Consuelo Fernández-Núñez; María Alberto-Pestano; Marta Alonso-Plasencia; Rodrigo Abreu-González
Journal:  Rom J Ophthalmol       Date:  2021 Jul-Sep

7.  Monitoring progression of retinitis pigmentosa: current recommendations and recent advances.

Authors:  Moreno Menghini; Jasmina Cehajic-Kapetanovic; Robert E MacLaren
Journal:  Expert Opin Orphan Drugs       Date:  2020-03-02       Impact factor: 0.694

Review 8.  Clinical Perspectives and Trends: Microperimetry as a Trial Endpoint in Retinal Disease.

Authors:  Yesa Yang; Hannah Dunbar
Journal:  Ophthalmologica       Date:  2021-02-10       Impact factor: 3.250

9.  Correlation of optical coherence tomography angiography and microperimetry (MP3) features in wet age-related macular degeneration.

Authors:  Manish Nagpal; Jayesh Khandelwal; Rakesh Juneja; Navneet Mehrotra
Journal:  Indian J Ophthalmol       Date:  2018-12       Impact factor: 1.848

10.  Direct comparison of retinal structure and function in retinitis pigmentosa by co-registering microperimetry and optical coherence tomography.

Authors:  Jun Funatsu; Yusuke Murakami; Shunji Nakatake; Masato Akiyama; Kohta Fujiwara; Shotaro Shimokawa; Takashi Tachibana; Toshio Hisatomi; Yoshito Koyanagi; Yukihide Momozawa; Koh-Hei Sonoda; Yasuhiro Ikeda
Journal:  PLoS One       Date:  2019-12-12       Impact factor: 3.240

  10 in total

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