July 2019
Volume 60, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2019
Evaluation of the results of manual kinetic perimetry using a training system for the Goldmann perimeter
Author Affiliations & Notes
  • Hokuto Ubukata
    Niigata University of Health and Welfare, Niigata-Shi, Japan
  • Fumiatsu Maeda
    Niigata University of Health and Welfare, Niigata-Shi, Japan
  • Osamu Masuda
    Niigata University of Health and Welfare, Niigata-Shi, Japan
  • Akiko Kobayashi
    Tokyo Medical University Hospital, Japan
  • Kazutaka Kani
    Kyushu University of Health and Welfare, Japan
  • Haruki Abe
    Niigata University of Health and Welfare, Niigata-Shi, Japan
  • Footnotes
    Commercial Relationships   Hokuto Ubukata, None; Fumiatsu Maeda, None; Osamu Masuda, None; Akiko Kobayashi, None; Kazutaka Kani, None; Haruki Abe, None
  • Footnotes
    Support  JSPS KAKENHI Grant 17K18201
Investigative Ophthalmology & Visual Science July 2019, Vol.60, 4383. doi:
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      Hokuto Ubukata, Fumiatsu Maeda, Osamu Masuda, Akiko Kobayashi, Kazutaka Kani, Haruki Abe; Evaluation of the results of manual kinetic perimetry using a training system for the Goldmann perimeter. Invest. Ophthalmol. Vis. Sci. 2019;60(9):4383.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Ubukata et al. (2018) developed a training system for Goldmann manual kinetic perimetry (Goldmann MKP). Kobayashi et al. (2018) reported that there were some differences between orthoptists with sufficient clinical experiences of perimetry and orthoptic students in the trajectories and speeds of visual targets in Goldmann MKP using this system.
The purpose of this study is to attempt quantitative evaluation of the visual fields that were measured by students using this system.

Methods : This system consists of the GP and a computer that installed Goldmann MKP training software. To record the movements of visual targets in Goldmann MKP, we inserted the sensor of Slim Pen Tablet PTB-STRP1 (PRiNCETON) on the back side of the GP recording paper, and attached a touch pen on the tip of pantograph. We developed the training software by ourselves in Visual Basic.NET. This software can automatically calculate the distribution of visual-field sensitivities according to the size and brightness of visual targets by importing the result of the GP in advance, thereby creating simulated patient data. The computer sounded a beep when the location of the target reached the threshold of the visual field. The positions plotted by the measurers were transformed into coordinate axes in the system.
The subjects were the results of Goldmann MKP training by 26 orthoptist students, which were recorded using this system. We analyzed V/4e and I/4e isopters this time. To compare the students and those of simulated patient data, we overlapped both isopters and obtained the intersection percentage with reference to Schiefer et al. (2006).

Results : The coincidence rates of visual field areas measured by the students were 80.9±5.6% for V/4e isopter and 82.5±4.7% for I/4e isopter. There was no difference in the coincidence rates between V/4e and I/4e isopters (paired t-test, p=0.065). The information recorded in this system can serve as one of useful indicators to evaluate their skills in proceeding with the training of Goldmann MKP.

Conclusions : In addition to the evaluation of the skills in visual field measurements, this system could quantitatively evaluate the results of Goldmann MKP measurements.

This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.

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