Repeatability and reproducibility of corneal biomechanical parameters derived from Corvis ST

Serbecic, Nermin; Beutelspacher, Sven C.; Markovic, Lovro; Roy, Abhijit S.; Shetty, Rohit

doi:10.1177/1120672119864554

Cited by 16 publications

(17 citation statements)

References 23 publications

(46 reference statements)

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“…A good example is the biomechanical fragility of the keratoconic cornea ( Zhang et al, 2021b ; Satitpitakul et al, 2021 ). To the best of our knowledge, a few studies have evaluated the repeatability and reproducibility of the new Corvis ST DCR parameters and bIOP in healthy participants ( Matsuura et al, 2019 ; Serbecic et al, 2020 ; Wang et al, 2021 ; Ye et al, 2021 ). Moreover, the present study was the largest study of corneal biomechanics that explored the association between DCR parameters (provided by Corvis ST incorporating the latest software) and several demographic and ocular characteristics in a Chinese healthy population.…”

Section: Discussionmentioning

confidence: 99%

In Vivo Corneal Biomechanical Properties in a Selected Chinese Population, Measured Using the Corneal Visualization Scheimpflug Technology

Tian

Guo

et al. 2022

Front. Bioeng. Biotechnol.

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Purpose: To evaluate the repeatability and reproducibility of recalculated dynamic corneal response (DCR) parameters and the biomechanical-compensated intraocular pressure (bIOP) derived from the Corneal Visualization Scheimpflug Technology (Corvis ST), as well as to study the variations of DCR parameters and their relationship with demographic, and ocular characteristics.Methods: A total of 544 healthy subjects were recruited in this study and a series of ophthalmological examinations were performed on their right eyes. Three repeated measurements were obtained at 3-min intervals for 291 of the participants to ensure repeatability. A sum of 100 participants was examined twice within 2-h intervals using two different Corvis ST in the reproducibility study. The repeatability and reproducibility of 37 parameters, including 36 DCR parameters and bIOP, were assessed by the coefficient of repeatability (CR), coefficient of variation (CV), intraclass correlation coefficient (ICC), and within-subject standard deviation (sw). Pearson’s correlation coefficients and stepwise multivariate linear regression models were performed to investigate whether the DCR parameters were related to demographic and ocular characteristics.Results: Of all the 37 parameters, 34 showed excellent (ICC ≥0.90) or good (ICC ≥0.75) repeatability while 27 of the 37 parameters showed excellent (ICC ≥0.90) or good (ICC ≥0.75) reproducibility. In particular, a CV of less than 20% was found for all DCR parameters and bIOP. A fraction of 14 out of 36 DCR parameters was selected for correlation analysis, based on measurement reliability and clinical relevance in referring to previous literature. Age was negatively associated with the Highest concavity delta arc length (HCdArcL) and peak distance (PD) but it positively correlated with the Whole Eye Movement Max Length (WEMML). Intraocular pressure (IOP) and central corneal thickness (CCT) were negatively associated with the deformation amplitude ratio (DARM) [1 mm], A1 Velocity (A1V), and PD, while positively related to the stiffness parameter at applanation 1 (SP-A1). The bIOP was negatively associated with A1V but positively associated with A2 Velocity (A2V). The anterior chamber volume (ACV) was negatively associated with the pachy slope (PS), WEMML, and SP-A1.Conclusion. The Corvis ST showed good precision for the repeatability and reproducibility of 36 DCR parameters and bIOP parameters in healthy eyes. The IOP, CCT, bIOP, Km, and ACV significantly influenced the DCR parameters of the eyes.

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Section: Discussionmentioning

confidence: 99%

In Vivo Corneal Biomechanical Properties in a Selected Chinese Population, Measured Using the Corneal Visualization Scheimpflug Technology

Tian

Guo

et al. 2022

Front. Bioeng. Biotechnol.

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“…CST has previously been shown to have good repeatability of parameters in healthy and keratoconic subjects with 18 parameters in normal eyes and 22 parameters in keratoconus eyes showing excellent repeatability (ICC ≥ 0.90). 36,37 The device has also previously been shown to produce an accurate analysis of corneal deformation independent from corneal morphological parameters such as central corneal thickness (CCT), corneal volume (CV) and anterior corneal curvature. 38 In our study, the inbuilt CST parameters did not significantly change, in keeping with previous reports that biomechanical changes post CXL in vivo are potentially less profound in vivo than ex vivo, 39 or that the CST is not sensitive enough to detect these changes.…”

Section: Discussionmentioning

confidence: 99%

Prospective one year study of corneal biomechanical changes following high intensity, accelerated cornea cross-linking in patients with keratoconus using a non-contact tonometer

Ziaei

Yoon

Vellara

et al. 2021

European Journal of Ophthalmology

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Purpose To characterize corneal biomechanical properties utilizing a dynamic ultra-high-speed Scheimpflug camera equipped with a non-contact tonometer (CorVis ST, CST) in keratoconic corneas following continuous high intensity, high irradiance corneal cross-linking. Design Prospective longitudinal single-centre study at a tertiary referral center. Methods Corneal biomechanical properties were measured in patients with progressive keratoconus undergoing high intensity (30 mW/cm2), high irradiance (5.4 J/cm2), accelerated corneal cross-linking with continuous exposure to ultraviolet-A for 4 min. CST was used to assess corneal biomechanical properties pre-operatively and at 1, 3, 6 and 12 months post-operatively. CST output videos were further analyzed using several previously reported algorithms. Results A total of 25 eyes of 25 participants were examined. The mean age of participants was 20.9 ± 5.3 years; 56% were male and 80% were of Māori or Pacific Island origin. Energy absorbed area (mN mm), was the only significantly changed parameter compared to baseline at all time points measuring 3.61 ± 1.19 preoperatively, 2.81 ± 1.15 at 1 month ( p = 0.037), 2.79 ± 0.81 ( p = 0.033) at 3 months, 2.76 ± 0.95 ( p = 0.028) at 6 months and 2.71 ± 1.18 ( p = 0.016) at 12 months. Conclusions The significant difference between the pre and post-operative energy absorbed area appears to reflect changes in corneal viscous properties that occur following corneal cross-linking.

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“…Scheimpflug‐based tonometer (SBT) parameters have shown acceptable reliability and reproducibility in both healthy eyes and eyes with keratoconus (Serbecic et al 2019), but less so in advanced keratoconus (Herber et al 2020). Also, in healthy eyes, the repeatability and reproducibility of SBT parameters have been shown to depend on patient characteristics such as axial length, CCT and age (Miki et al 2017; Yang et al 2019) Therefore, caution should be taken when applying the results of the present study in clinical practice because it may be affected by the patient's background.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of CorvisST biomechanical parameters and anterior segment optical coherence tomography for diagnosing forme fruste keratoconus

Shiga

Kojima

Nishida

et al. 2020

Acta Ophthalmologica

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Purpose To investigate the utility of biomechanical property measurements using a Scheimpflug‐based tonometer (SBT) and/or anterior segment optical coherence tomography (AS‐OCT) for diagnosing forme fruste keratoconus (FFK). Methods In this retrospective interventional case series, 23 eyes with FFK of 23 consecutive patients and 52 eyes of 52 healthy volunteers who visited our keratoconus outpatient clinic were enrolled. Logistic regression analysis was conducted to determine the causal relationship between FFK diagnosis and each parameter. Results When only SBT was used, the corneal stiffness parameter, stiffness parameter A1 (SP‐A1) and the corneal velocity at first applanation were selected as explanatory variables, and sensitivity, specificity and area under the receiver operating characteristic curve (AUROC) were 82.9%, 86.9% and 0.938, respectively. When only AS‐OCT parameters were used, the posterior corneal asymmetric component and central corneal thickness were selected, and the sensitivity, specificity and AUROC were 82.6%, 94.2% and 0.893, respectively. When parameters from both methods were used, SP‐A1 and the posterior corneal asymmetry component derived from Fourier analysis were selected as explanatory variables, and sensitivity, specificity and AUROC were 91.30%, 90.38% and 0.947, respectively. No significant differences in AUROC were observed between diagnoses using each device and the combination of both devices (AS‐OCT versus SBT, p = 0.314; integrated parameters versus AS‐OCT, p = 0.081; integrated parameters versus SBT, p = 0.234). Conclusion Optimization of SBT and AS‐OCT parameters allowed for the diagnosis of FFK at a clinically usable level. Forme fruste keratoconus (FFK) diagnosis integrating biomechanical properties with AS‐OCT showed no superiority compared to diagnosis based on a single device.

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Repeatability and reproducibility of corneal biomechanical parameters derived from Corvis ST

Cited by 16 publications

References 23 publications

In Vivo Corneal Biomechanical Properties in a Selected Chinese Population, Measured Using the Corneal Visualization Scheimpflug Technology

In Vivo Corneal Biomechanical Properties in a Selected Chinese Population, Measured Using the Corneal Visualization Scheimpflug Technology

Prospective one year study of corneal biomechanical changes following high intensity, accelerated cornea cross-linking in patients with keratoconus using a non-contact tonometer

Evaluation of CorvisST biomechanical parameters and anterior segment optical coherence tomography for diagnosing forme fruste keratoconus

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