Corneal biomechanical properties are associated with the activity and prognosis of Angioid Streaks

Asano, Shotaro; Nakajima, Kiyokazu; Kure, Kana; Azuma, Keiko; Shimizu, Kimiko; Murata, Hiroshi; Inoue, Tatsuya; Obata, Ryo; Asaoka, Ryo

doi:10.1038/s41598-018-26430-4

Cited by 8 publications

(10 citation statements)

References 33 publications

(44 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another previous study reported that the maximum deformation amplitude measured by CST was associated with the size of β-zone parapapillary atrophy,16 which has been reported to be associated with the development, severity, progression, and location of glaucoma 17–20. Our recent studies also suggested that CST parameters were associated with the activity and prognosis of angioid streaks,21 and also the severity22 and progression23 of glaucoma. However, a different study reported no relationship between ORA-measured corneal hysteresis (CH) and β-zone parapapillary atrophy 24.…”

Section: Introductionsupporting

confidence: 53%

Relationship Between the Shift of the Retinal Artery Associated With Myopia and Ocular Response Analyzer Waveform Parameters

Asano

Asaoka

Yamashita

et al. 2019

Trans. Vis. Sci. Tech.

Self Cite

View full text Add to dashboard Cite

Purpose We have recently reported that the retinal stretch due to myopia is closely related to the peripapillary retinal arteries angle (PRAA) (Yamashita et al., Invest Ophthalmol Vis Sci 2013;54:5481–5488). The purpose of the current study was to investigate the relationship between retinal artery position and Ocular Response Analyzer (ORA) waveform parameters. Methods In 43 eyes of 41 healthy subjects, ORA measurements were carried out and the PRAA was calculated from fundus photographs. Then, the variables related to PRAA were identified from 40 variables of age, axial length (AL), keratometry, ORA corneal hysteresis (CH), ORA corneal resistant factor (CRF), and 35 ORA waveform parameters, using the Lasso regression and model selection with the second-order bias-corrected Akaike information criterion index. Results The optimal model for PRAA included AL, CRF, and three ORA waveform parameters (aindex, w2, and slew1). This optimal model was significantly better than the model with AL-only, the model only with AL and CH, and the model only with AL and CRF ( P < 0.0001, P < 0.0001, P < 0.0001, respectively; analysis of variance). Conclusions The PRAA was significantly better represented by using AL and ORA parameters including waveform parameters, compared with AL alone, with AL and CH alone, and with AL and CRF alone. Translational Relevance ORA waveform, which represents corneal biomechanical properties, was associated with myopic retinal stretch.

show abstract

Section: Introductionsupporting

confidence: 53%

Relationship Between the Shift of the Retinal Artery Associated With Myopia and Ocular Response Analyzer Waveform Parameters

Asano

Asaoka

Yamashita

et al. 2019

Trans. Vis. Sci. Tech.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Additionally, it can be of value in gene therapy studies among these systemic entities. Recently, an association between corneal biomechanical properties and the number of anti-VEGF injections in these eyes was highlighted, 145 but more studies are needed in order to address the potential usefulness of these properties in risk prediction.…”

Section: Corneal Biomechanics and Angioid Streaks/pseudoxanthoma Elasmentioning

confidence: 99%

Corneal Biomechanical Assessment with Ultra-High-Speed Scheimpflug Imaging During Non-Contact Tonometry: A Prospective Review

Baptista¹,

Ambrósio²,

Oliveira³

et al. 2021

OPTH

View full text Add to dashboard Cite

Background In recent years, increasing interest has arisen in the application of data from corneal biomechanics in many areas of ophthalmology, particularly to assist in the detection of early corneal ectasia or ectasia susceptibility, to predict corneal response to surgical or therapeutic interventions and in glaucoma management. Technology has evolved and, recently, the Scheimpflug principle was associated with a non-contact air-puff tonometer, allowing a thorough analysis of corneal biomechanics and a biomechanically corrected intraocular pressure assessment, opening up new perspectives both in ophthalmology and in other medical areas. Data from corneal biomechanics assessment are being integrated in artificial intelligence models in order to increase its value in clinical practice. Objective To review the state of the art in the field of corneal biomechanics assessment with special emphasis to the technology based on ultra-high-speed Scheimpflug imaging during non-contact tonometry. Summary A meticulous literature review was performed until the present day. We used 136 published manuscripts as our references. Both information from healthy individuals and descriptions of possible associations with systemic diseases are described. Additionally, it exposed information regarding several fields of ocular pathology, from cornea and ocular surface through areas of refractive surgery and glaucoma until vascular and structural diseases of the chorioretinal unit.

show abstract

“…Reduced energy dissipation in the cornea may cause higher vulnerability to these stresses 41 . Furthermore, we recently reported that angioid streaks were significantly associated with the corneal biomechanical properties as measured by using CST 48 . Considering these facts, the newly proposed Monot1-2 may also be useful in these diseases, and this should be further investigated in a future study.…”

Section: Discussionmentioning

confidence: 98%

Visualizing the dynamic change of Ocular Response Analyzer waveform using Variational Autoencoder in association with the peripapillary retinal arteries angle

Asano

Asaoka

Yamashita

et al. 2020

Sci Rep

Self Cite

View full text Add to dashboard Cite

the aim of the current study is to identify possible new ocular Response Analyzer (oRA) waveform parameters related to changes of retinal structure/deformation, as measured by the peripapillary retinal arteries angle (pRAA), using a generative deep learning method of variational autoencoder (VAe). fiftyfour eyes of 52 subjects were enrolled. The PRAA was calculated from fundus photographs and was used to train a VAE model. By analyzing the ORA waveform reconstructed (noise filtered) using VAE, a novel ORA waveform parameter (Monot1-2), was introduced, representing the change in monotonicity between the first and second applanation peak of the waveform. The variables mostly related to the PRAA were identified from a set of 41 variables including age, axial length (AL), keratometry, ORA corneal hysteresis, ORA corneal resistant factor, 35 well established ORA waveform parameters, and Monot1-2, using a model selection method based on the second-order bias-corrected Akaike information criterion. The optimal model for PRAA was the AL and six ORA waveform parameters, including Monot1-2. This optimal model was significantly better than the model without Monot1-2 (p = 0.0031, ANOVA). The current study suggested the value of a generative deep learning approach in discovering new useful parameters that may have clinical relevance.

show abstract

Corneal biomechanical properties are associated with the activity and prognosis of Angioid Streaks

Cited by 8 publications

References 33 publications

Relationship Between the Shift of the Retinal Artery Associated With Myopia and Ocular Response Analyzer Waveform Parameters

Relationship Between the Shift of the Retinal Artery Associated With Myopia and Ocular Response Analyzer Waveform Parameters

Corneal Biomechanical Assessment with Ultra-High-Speed Scheimpflug Imaging During Non-Contact Tonometry: A Prospective Review

Visualizing the dynamic change of Ocular Response Analyzer waveform using Variational Autoencoder in association with the peripapillary retinal arteries angle

Contact Info

Product

Resources

About