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2021.06.03.21258101.pdf419.44 kBAdobe PDF見る/開く
タイトル: Novel scotoma detection method using time required for fixation to the random targets
著者: Takahashi, Nobuyuki
Saeki, Shozo
Kawahara, Minoru
Aman, Hirohisa
Nakano, Eri
Mori, Yuki
Miyake, Masahiro  kyouindb  KAKEN_id
Tamura, Hiroshi  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-7740-2732 (unconfirmed)
Tsujikawa, Akitaka  kyouindb  KAKEN_id
著者名の別形: 中野, 絵梨
森, 雄貴
三宅, 正裕
田村, 寛
辻川, 明孝
発行日: 1-Dec-2021
出版者: Cold Spring Harbor Laboratory
BMJ
Yale University
誌名: medRxiv
抄録: We developed a novel scotoma detection system using time required for fixation to the random targets, or the” eye-guided scotoma detection method “. In order to verify the” eye-guided scotoma detection method “, we measured 78 eyes of 40 subjects, and examined the measurement results in comparison with the results of measurement by Humphrey perimetry. The results were as follows: (1) Mariotte scotomas were detected in 100% of the eyes tested; (2) The false-negative rate (the percentage of cases where a scotoma was evaluated as a non-scotoma) was less than 10%; (3) The positive point distribution in the low-sensitivity eyes was well matched. These findings suggested that the novel scotoma detection method in the current study will pave the way for the realization of mass screening to detect pathological scotoma earlier.
[Author summary] Conventional perimeters, such as the Goldmann perimeter and Humphrey perimeter, require experienced examiners and space occupying. With either perimeter, subjects’ eye movements need to be strictly fixed to the fixation target of the device. Other perimeters can monitor fixation and automatically measure the visual field. With the eye-guided scotoma detection method proposed in the current study, subjects feel less burdened since they do not have to fixate on the fixation target of the device and can move their eyes freely. Subjects simply respond to visual targets on the display; then, scotomas can be automatically detected. The novel method yields highly accurate scotoma detection through an algorithm that separates scotomas from non-scotomas.
著作権等: This article is a preprint and has not been peer-reviewed. It reports new medical research that has yet to be evaluated and so should not be used to guide clinical practice.
The copyright holder for this preprint is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license.
URI: http://hdl.handle.net/2433/268017
DOI(出版社版): 10.1101/2021.06.03.21258101
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