Abstract
This study aimed to compare the values of new corneal visualization Scheimpflug technology (Corvis ST) parameters in normal, subclinical keratoconus (SKC) and keratoconus (KC) eyes, and evaluate the diagnostic ability to distinguish SKC and KC eyes from normal eyes. One-hundred normal, 100 SKC and 100 KC eyes were included in the study. Corvis ST parameters containing dynamic corneal response parameters were measured by one ophthalmologist. The receiver operating characteristic curve was used to evaluate the diagnostic ability of new Corvis ST parameters. The new Corvis ST parameters in KC eyes were different from those in the control and SKC eyes after adjusting for IOP and CCT, and stiffness parameter at the first applanation (SP-A1) and Corvis biomechanical index (CBI) were significantly different between the control and SKC eyes (all P < 0.05). The parameter with the highest diagnostic efficiency was SP-A1 (Youden index = 0.40, AUC = 0.753), followed by CBI (Youden index = 0.38, AUC = 0.703), and Integrated Radius (Youden index = 0.33, AUC = 0.668) in diagnosing SKC from control eyes. New Corvis ST parameters in SKC eyes were significantly different from normal control and KC eyes, and could be considered to distinguish SKC and KC eyes from normal eyes.
Similar content being viewed by others
Explore related subjects
Find the latest articles, discoveries, and news in related topics.Introduction
Keratoconus (KC) is a progressive ectatic corneal disease characterized by corneal thinning and irregular astigmatism1. KC usually begins in the second or third decade of life, with a heavy financial burden on the patients and society2. Previous studies have reported that the prevalence of KC ranges from 0.17‰ in the United States to 10‰ in Iran, and Asia usually has a higher ratio than Caucasian people3. Global consensus on KC proposed that a true unilateral KC does not exist4. The contralateral normal eye of a KC patient, also called subclinical KC (SKC) eye and very asymmetrical ectasia, is regarded as the early stage of KC5,6. Studying the characteristics of SKC eyes can help to understand the mechanism of KC occurrence and development. Previous studies have reported that the topographic and tomographic parameters of SKC eyes are different from normal eyes, playing a role in diagnosing SKC eyes7,8,9. It has been reported that changes in corneal biomechanics occur earlier than those in the topographic and tomographic maps in KC eyes, resulting in more attention to corneal biomechanics in clinical application10.
Corneal visualization Scheimpflug technology (Corvis ST) is a relatively new non-contact tonometer, and obtains dynamic corneal response (DCR) parameters with a rate of 4330 frames/s11. With the software updated (number: 1.5r1902), new parameters were gradually used in the clinic12. Our previous studies found that new Corvis ST parameters were different between KC and normal control eyes12,13. Several studies have also reported that new Corvis ST parameters of SKC eyes are different from normal and KC eyes14,15. The diagnostic efficiency of new Corvis ST parameters in diagnosing SKC eyes from normal eyes is inconsistent14,15,16. Kataria et al.14 reported that the area under the curve (AUC) of new Corvis ST parameters ranged from 0.512 (Pachy Slope) to 0.775 (Corvis biomechanical index, CBI) in distinguishing SKC patients from normal Indian subjects. Chan et al.15 also found that Ambrósio’s relational thickness horizontal (ARTh) and Max Inverse Radius played roles in distinguishing SKC eyes from normal eyes. Furthermore, our previous study showed that abnormal pachymetry distribution is detectable in SKC eyes with normal biomechanics through receiver operating characteristic (ROC) analysis, while the analysis of new Corvis ST parameters of our SKC eyes has not been carried out5. In addition, corneal central thickness (CCT) is a fundamental parameter affecting the corneal biomechanical properties. Knowing the association between new Corvis ST parameters and CCT in normal, SKC, and KC eyes could help clinicians make better use of these parameters.
Thus, the current study aimed to compare the new Corvis ST parameter values in normal, SKC, and KC eyes, and further evaluate the ability of new Corvis ST parameters to distinguish SKC and KC eyes from normal eyes.
Methods
Study subjects
This prospective study was conducted between September 2018 and January 2020. Clinical KC in current study was diagnosed according to the following criterion: (1) corneal topography revealing an asymmetrical bowtie pattern with or without skewed axes; (2) KC sign on slit-lamp examination, such as localized stromal thinning, conical protrusion, Vogt’s striae, Fleischer’s ring, or anterior stromal scar; (3) Belin Ambrosio enhanced ectasia total deviation index (BAD-D) value > 2.61,13. The SKC eye in the current study was defined by (1) no clear evidence of KC in one eye; (2) the contralateral eye diagnosed with clinical KC eye17. Volunteers were recruited in the control group with (1) spherical equivalent < -8.00 diopters (D), astigmatism < 2.00 D, corrected distance visual acuity (CDVA) ≥ 0.8; (2) normal corneal topography (the central region is generally steeper, gradually flattening to the periphery) and BAD-D value < 1.61. The exclusion criteria consisted of eyes with a history of wearing soft contact lens within two weeks, wearing rigid contact lens within four weeks, eyes with an anterior stromal scar, other ocular diseases, ocular trauma, and ocular surgery. Finally, 100 KC eyes (19 unilateral KC and 77 bilateral KC patients), 100 SKC eyes (100 unilateral KC patients), and 100 control eyes (100 normal subjects) were included.
Examinations
The Corvis ST instrument takes Scheimpflug images of the anterior segment at a rate of 4330 frames/s and collects parameters during the first applanation, highest concavity, and second applanation phases (time, velocity, deflection amplitude, and deflection length)10. Using the updated software (software number: 1.5r1902), new parameters were added, such as Max Inverse Radius (the maximum value of the radius of curvature during the concave phase of the deformation)18, deformation amplitude (DA) Ratio Max (1 mm) and DA Ratio Max (2 mm) (the maximum ratio of DA measured at 1 or 2 mm from the center of the cornea, with higher values describing less resistance to corneal deformation15), Pachy Slope (changes of corneal thickness from the corneal center to the periphery, averagely determined at 2.5 mm from the apex19), ARTh (a parameter calculated by the division of the thinnest corneal thickness and pachy metric progression index12), Integrated Radius (integrated area under the curve of the Inverse Radius20), stiffness parameter at the first applanation (SP-A1, a resultant pressure of the first applanation calculated as the adjusted pressure minus intraocular pressure (IOP) divided by the deflection amplitude21) and CBI (a combined parameter based on a logistic regression formula10). Corvis ST records information concerning the cornea’s stiffness data (SP-A1) and viscoelastic properties [DA Ratio Max (2 mm), DA Ratio Max (1 mm), and Integrated Radius] throughout the deformation process22. The new Corvis ST parameters of control, SKC, and KC eyes are shown in Fig. 1. Three repeated measurements with QS showing OK were conducted by one ophthalmologist between 9:00 and 17:00, and the average measurements were analyzed in the current study.
In addition, all the participants received a slit-lamp examination and Pentacam HR measurements to collect steep keratometric (Ks), flat keratometric (Kf), and mean keratometric (Kmean), CCT, Astigmatism F, Axis F(steep), inferior-superior difference value (I–S) and BAD-D. Furthermore, CDVA, tomographic and biomechanical index (TBI) and KISA%23 values were recorded in the current study.
Statistical analysis
The distribution of the variables was tested through the Kolmogorov–Smirnov test. Normally distributed data were presented in mean ± SD and analyzed by ANOVA, and non-normally distributed data were presented in median (interquartile range, IQR) and analyzed by Kruskal–Wallis test. Linear mixed-effect models were constructed, adjusting for the effect of IOP and CCT on corneal deformation response parameters, and further comparisons of the least significant difference(LSD) were carried out. The ROC curve and Delong test were used to evaluate the diagnostic ability of new Corvis ST parameters for distinguishing KC and SKC eyes from normal control eyes. Pearson’s or Spearman’s correlation analysis was conducted to investigate the association between CCT and new Corvis ST parameters. All the statistical analyses of the survey data were performed using SPSS 23.0 software package and MedCalc 15.2.2 software, and a P < 0.05 (two-tailed) was considered as statistically significant difference.
Ethics approval and informed consent
This study was conducted following the Declaration of Helsinki guidelines and approved by the Institutional Review Board of Henan Eye Hospital [ethical approval number: HNEECKY-2019 (5)]. Written informed consent was obtained from each patient.
Results
Characteristics of basic parameters
The basic parameters of control, SKC and KC eyes were presented in Table 1. The mean ages were 23.36 ± 4.76 years, 22.79 ± 5.78 years, and 23.44 ± 5.36 years for the control, SKC, and KC patients, respectively (P = 0.642). The KC eyes exhibited weaker CDVA, and higher Ks, Kf, Kmean, I–S, astigmatism F and KISA% values, and lower IOP and CCT values compared to the control and SKC eyes (all P < 0.05). The values of BAD-D and TBI in SKC eyes were higher than the control eyes (all P < 0.05).
Characteristics of new Corvis ST parameters
The new Corvis ST parameters in the three groups were presented in Fig. 2. The Max Inverse Radius, DA Ratio Max (2 mm), Pachy Slope, DA Ratio Max (1 mm), ARTh, Integrated Radius, SP-A1 and CBI were statistically different in three groups (all P < 0.001). After adjusting for IOP and CCT, these parameters in KC eyes were different from those in the control and SKC eyes (all P < 0.001), and SP-A1 and CBI were significantly different between the control and SKC eyes (P = 0.011 for SP-A1 and P < 0.001 for CBI, Table 2).
ROC curve analyses of new Corvis ST parameters
The accuracy of new Corvis ST parameters in identifying SKC and KC eyes were presented in Table 3. The highest diagnostic index was CBI (Youden index = 0.99, AUC = 0.999), followed by ARTh (Youden index = 0.96, AUC = 0.992), and SP-A1 (Youden index = 0.84, AUC = 0.973) in KC identification from control eyes. In diagnosing KC from SKC eyes, the highest diagnostic index was CBI (Youden index = 0.93, AUC = 0.992), followed by ARTh (Youden index = 0.88, AUC = 0.980), and Integrated Radius (Youden index = 0.72, AUC = 0.932). Furthermore, the highest diagnostic index was SP-A1 (Youden index = 0.40, AUC = 0.753), followed by CBI (Youden index = 0.38, AUC = 0.703), and Integrated Radius (Youden index = 0.33, AUC = 0.668) in SKC identification from control eyes.
Further AUC pairwise comparisons of new Corvis ST parameters were presented in Fig. 3 and Table 4. The AUC of CBI was significantly higher than ARTh (Difference = 0.085, P < 0.05), and the SP-A1 was significantly higher than Integrated Radius (Difference = 0.085, P < 0.05). In contrast, no significant differences were found between Integrated Radius, SP-A1, and CBI in identifying SKC from control eyes (all P > 0.05, Fig. 3A). The AUC of CBI was not significantly different from ARTh (all P > 0.05), while higher than other parameters in identifying KC eyes from SKC and control eyes (all P < 0.05, Fig. 3B,C). The AUC of ARTh was significantly higher than SP-A1 and Integrated Radius in diagnosing KC eyes from SKC and control eyes, while lower than SP-A1 in diagnosing SKC from control eyes (all P < 0.05).
Correlation between CCT and new Corvis ST parameters
The association between CCT and new Corvis ST parameters was presented in Fig. 4. The Max Inverse Radius (rControl = -0.35, r SKC = -0.30) and Pachy Slope (r Control = 0.40, r SKC = 0.22) were significantly associated with CCT in control and SKC eyes (all P < 0.05), while they were not seen in KC eyes (all P > 0.05). The DA Ratio Max (2 mm), DA Ratio Max (1 mm), Integrated Radius, SP-A1 and CBI were significantly associated with CCT in control, SKC, and KC eyes (all P < 0.05). A significant association was detected between ARTh and CCT in KC eyes (r = 0.42, P < 0.001).
Discussion
Corvis ST is an effective instrument for measuring corneal biomechanics, and the changes in new Corvis ST parameters are of great significance in evaluating KC and SKC eyes. The present study showed that KC had higher values of Max Inverse Radius, DA Ratio Max (2 mm), DA Ratio Max (1 mm), Integrated Radius, and CBI, and lower ARTh and SP-A1 values than control and SKC eyes. The CBI exhibited the highest diagnostic efficiency in distinguishing KC from SKC and control eyes, while the SP-A1 exhibited the highest value in distinguishing SKC eyes from control eyes.
New Corvis ST parameters have been reported to be effective in differentiating KC eyes from normal eyes10. The current study showed that KC eyes had higher values of Max Inverse Radius, DA Ratio Max (2 mm), Pachy Slope, DA Ratio Max (1 mm), Integrated Radius and CBI, and lower values of ARTh and SP-A1 than control eyes. The results are consistent to previous studies, indicating that KC eye exhibits a softer cornea, thinner corneal thickness, and greater curvature14,16. In addition, the present study showed that the AUC of new Corvis ST parameters in distinguishing KC from control eyes were all > 0.90, consistent with the previous studies12,14,21,24,25. CBI is a combined parameter calculated through a formula and was useful in discriminating KC from normal eyes with a cut-off value of 0.510. Steinberg et al.26 compared older Corvis ST parameters and CBI, and reported that the concept of KC screening with CBI is effective in differentiating KC from non-KC eyes. The study showed that the AUC of CBI was not significantly different from ARTh, while higher than other new Corvis ST parameters to distinguish KC from control eyes. The results are consistent with Sedaghat MR et al.21 and Herber et al.25 findings, which validated the clinical application of new Corvis ST parameters in discriminating KC from normal eyes.
Global consensus on KC in 2015 proposed that a true unilateral KC does not exist4. Holland et al.27 reported that the signs of KC were found in SKC eyes after observation for four years. Li et al.28 reported that half of SKC eyes would also develop KC in the following 16 years, with the highest incidence in six years. It is essential for patients and clinicians to be aware of KC development’s probability in the clinically normal eyes of unilateral KC9. SKC eye is an ideal model to study the early stages of KC, which shows the earliest detectable signs of the disease. However, there are no specific criteria for SKC eye definition and detection. Previous studies have compared the topographic5,29 and tomographic parameters30,31, epithelial thickness mapping7, and various combinations of indices23,32 between SKC eyes and normal eyes, reporting that these parameters could provide references to differentiate SKC from normal eyes for the clinician.
Vinciguerra et al.16 reported that an abnormal CBI improved the diagnostic work-up in 12 SKC eyes, Corvis ST parameters used in differentiating SKC eyes from control eyes have gradually attracted attention. Koc et al.33 compared DCR parameters obtained from the Corvis ST (A1L, A2L, A1V, A2V, DA Ratio, SP-A1, and CBI) in control, SKC, and KC groups, and the results indicated that biomechanical analysis might be used as a complementary diagnostic method in detecting SKC. Steinberg et al.34 reported that older Corvis ST parameters only marginally improved KC screening protocols, and they suggested that newly generated parameters, such as the applanation length level and deflection length level might further improve early KC screening. The current study reported that the Max Inverse Radius, DA Ratio Max (2 mm), DA Ratio Max (1 mm), Integrated Radius, and CBI in SKC eyes were higher than those in normal control eyes, while lower than that in KC eyes. Furthermore, the ARTh and SP-A1 in SKC eyes were lower than those in normal control eyes, while higher than that in KC eyes. The differences of new Corvis ST parameters between the three groups were consistent with previous studies, indicating that the viscoelastic properties and stiffness of SKC eyes have changed, although not up to the level of clinical KC eyes14,35. In addition, Chan et al.15 reported that the abilities of ARTh and Max Inverse Radius in distinguishing SKC from control eyes were acceptable with AUC values of 0.836 and 0.754, respectively. Compared to Kataria et al.14 study, we found the AUC values of Max Inverse Radius, Pachy Slope, Integrated Radius were higher, while DA Ratio Max (2 mm), DA Ratio Max (1 mm), ARTh, SP-A1, and CBI were lower. The discrepancies in the results of these studies could be explained by the differences in SKC criterion. Koc et al.33 defined SKC based on Kmean value < 47.20 D, I–S < 1.40 D, KISA% < 60%, with no clinical evidence. Kataria et al.14 included patients with frank KC in one eye and a topographically normal contralateral eye and labeled them as SKC. Chan et al.15 classified SKC eyes according to whether they exhibited either atypical or suspected topographic findings that did not meet the diagnostic criteria for KC, with average corneal power of 49.00 D or less or HOAs of 1.50 µm or less in either eye or normal topography but obvious KC in the contralateral eye. SP-A1 is an important corneal stiffness parameter defined as adjusted pressure minus IOP and divided by deflection amplitude at the first applanation21. The study showed that SP-A1 had the highest accuracy in identifying SKC from control eyes, which suggesting that SP-A1 could be considered in clinical applications in distinguishing SKC from normal eyes. In addition, the study found that the AUC of SP-A1 was significantly higher than that of Integrated Radius in distinguishing SKC from control eyes, similar to Sedaghat MR et al.21 findings. However, no study is available on the AUC comparisons of other new Corvis ST parameters. Since research into new Corvis ST parameters of SKC eyes is still limited, further large and multi-center studies are on an absolute necessity.
A previous study found that the biomechanical deterioration and thinning of cornea synchronize with one another throughout the progression of KC36. Heber et al.25 reported the thinnest corneal thickness was associated with Max Inverse Radius, DA Ratio Max (2 mm), DA Ratio Max (1 mm), Integrated Radius and SP-A1 in healthy and KC eyes through regression analysis. As a parameter affecting the corneal biomechanics in normal eyes, CCT was found to be related with DA Ratio Max (2 mm), DA Ratio Max (1 mm), Integrated Radius, ARTh, SP-A1, and CBI in KC eyes, consistent with Kataria et al.14 study. Furthermore, CCT was significantly associated with Max Inverse Radius and Pachy Slope in SKC eyes, not in KC eyes. It could be speculated that the stiffness in the normal cornea mostly arises from layers of collagen lamellae37. The breaks in Bowman’s layer, reduced cross-links, and atypical organization of collagen fibrils might be responsible for corneal weakness; then, corneal thickness’s contribution to stiffness would increase38. Furthermore, previous study has reported that the corneal thinning in KC eyes decreases the biomechanical properties, resulting in focal weakening of the cornea; a decrease in corneal properties would further thin the cornea39.
KC is a localized disease that usually progresses in the vertical meridian, while the Corvis ST just acquires the deformation of the horizontal meridian. The current study limited conducted an analysis of new Corvis ST parameters in differentiating KC, SKC, and normal eyes. A previous study showed that combined use of tomographic and biomechanical parameters resulted in a higher capability to differentiate normal and SKC eyes when compared to analysis alone6,15,17,40. Thus, further studies would be conducted to explore the identification ability of comprehensive analysis including tomographic and biomechanical parameters in future clinical applications. Besides, the SKC eyes in the current study were from contralateral eyes of patients with KC, and the unilateral or bilateral SKC (meaning the other eye is not KC) that would develop into KC in the future were not evaluated. Identifying these unilateral or bilateral SKC eyes is a clinical challenge, and further research is recommended in later.
In conclusion, the present study indicated that new Corvis ST parameters of SKC eyes were different from normal control and KC eyes, and could help differentiate KC and SKC eyes from normal eyes in clinical applications.
Data availability
All relevant data are included in the papers. Contact to Dr. Shengwei Ren (shengweiren1984@163.com) for additional information regarding data access.
References
Mas Tur, V., MacGregor, C., Jayaswal, R., O’Brart, D. & Maycock, N. A review of keratoconus: diagnosis, pathophysiology, and genetics. Surv. Ophthalmol. 62, 770–783, https://doi.org/10.1016/j.survophthal.2017.06.009 (2017).
Rebenitsch, R. L., Kymes, S. M., Walline, J. J. & Gordon, M. O. The lifetime economic burden of keratoconus: a decision analysis using a markov model. Am. J. Ophthalmol. 151, 768–773, https://doi.org/10.1016/j.ajo.2010.10.034 (2011).
Hashemi, H. et al. The prevalence and risk factors for keratoconus: a systematic review and meta-analysis. Cornea 39, 263–270. https://doi.org/10.1097/ICO.0000000000002150 (2020).
Gomes, J. A. et al. Global consensus on keratoconus and ectatic diseases. Cornea 34, 359–369. https://doi.org/10.1097/ICO.0000000000000408 (2015).
Song, P. et al. Assessment of corneal pachymetry distribution and morphologic changes in subclinical keratoconus with normal biomechanics. Biomed. Res. Int. 2019, 1748579. https://doi.org/10.1155/2019/1748579 (2019).
Salomao, M. Q. et al. The role of corneal biomechanics for the evaluation of ectasia patients. Int. J. Environ. Res. Public Health. https://doi.org/10.3390/ijerph17062113 (2020).
Hwang, E. S., Perez-Straziota, C. E., Kim, S. W., Santhiago, M. R. & Randleman, J. B. Distinguishing highly asymmetric keratoconus eyes using combined Scheimpflug and spectral-domain OCT analysis. Ophthalmology 125, 1862–1871. https://doi.org/10.1016/j.ophtha.2018.06.020 (2018).
Buhren, J., Kook, D., Yoon, G. & Kohnen, T. Detection of subclinical keratoconus by using corneal anterior and posterior surface aberrations and thickness spatial profiles. Invest. Ophthalmol. Vis. Sci. 51, 3424–3432. https://doi.org/10.1167/iovs.09-4960 (2010).
Shirayama-Suzuki, M. et al. Longitudinal analysis of corneal topography in suspected keratoconus. Br. J. Ophthalmol. 93, 815–819. https://doi.org/10.1136/bjo.2008.140012 (2009).
Vinciguerra, R. et al. Detection of keratoconus with a new biomechanical index. J. Refract. Surg. 32, 803–810. https://doi.org/10.3928/1081597X-20160629-01 (2016).
Jedzierowska, M. & Koprowski, R. Novel dynamic corneal response parameters in a practice use: a critical review. Biomed. Eng. Online 18, 17. https://doi.org/10.1186/s12938-019-0636-3 (2019).
Yang, K., Xu, L., Fan, Q., Zhao, D. & Ren, S. Repeatability and comparison of new Corvis ST parameters in normal and keratoconus eyes. Sci. Rep. 9, 15379. https://doi.org/10.1038/s41598-019-51502-4 (2019).
Yang, K. et al. Evaluation of new Corvis ST parameters in normal, Post-LASIK, Post-LASIK keratectasia and keratoconus eyes. Sci. Rep. 10, 5676. https://doi.org/10.1038/s41598-020-62825-y (2020).
Kataria, P. et al. Accuracy of Scheimpflug-derived corneal biomechanical and tomographic indices for detecting subclinical and mild keratectasia in a South Asian population. J. Cataract Refract. Surg. 45, 328–336. https://doi.org/10.1016/j.jcrs.2018.10.030 (2019).
Chan, T. C. Y., Wang, Y. M., Yu, M. & Jhanji, V. Comparison of corneal tomography and a new combined tomographic biomechanical index in subclinical keratoconus. J. Refract. Surg. 34, 616–621. https://doi.org/10.3928/1081597X-20180705-02 (2018).
Vinciguerra, R., Ambrosio, R. Jr., Roberts, C. J., Azzolini, C. & Vinciguerra, P. Biomechanical characterization of subclinical keratoconus without topographic or tomographic abnormalities. J. Refract. Surg. 33, 399–407. https://doi.org/10.3928/1081597X-20170213-01 (2017).
Ambrosio, R. Jr. et al. Integration of Scheimpflug-based corneal tomography and biomechanical assessments for enhancing ectasia detection. J. Refract. Surg. 33, 434–443. https://doi.org/10.3928/1081597X-20170426-02 (2017).
Roberts, C. J. Concepts and misconceptions in corneal biomechanics. J. Cataract Refract. Surg. 40, 862–869. https://doi.org/10.1016/j.jcrs.2014.04.019 (2014).
Ramm, L., Herber, R., Spoerl, E., Pillunat, L. E. & Terai, N. Intraocular pressure measurements in diabetes mellitus. Eur. J. Ophthalmol. 1120672119890517, https://doi.org/10.1177/1120672119890517 (2019).
Hirasawa, K. et al. Changes in corneal biomechanics and intraocular pressure following cataract surgery. Am. J. Ophthalmol. 195, 26–35. https://doi.org/10.1016/j.ajo.2018.07.025 (2018).
Sedaghat, M. R. et al. Diagnostic ability of corneal shape and biomechanical parameters for detecting frank keratoconus. Cornea 37, 1025–1034. https://doi.org/10.1097/ICO.0000000000001639 (2018).
Mercer, R. N. et al. Comparison of corneal deformation parameters in keratoconic and normal eyes using a non-contact tonometer with a dynamic ultra-high-speed Scheimpflug camera. J. Refract. Surg. 33, 625–631. https://doi.org/10.3928/1081597X-20170621-03 (2017).
Steinberg, J. et al. Correlation of the KISA% index and Scheimpflug tomography in ‘normal’, ‘subclinical’, ‘keratoconus-suspect’ and ‘clinically manifest’ keratoconus eyes. Acta Ophthalmol. 93, e199-207. https://doi.org/10.1111/aos.12590 (2015).
Chan, T. C., Wang, Y. M., Yu, M. & Jhanji, V. Comparison of corneal dynamic parameters and tomographic measurements using Scheimpflug imaging in keratoconus. Br. J. Ophthalmol. 102, 42–47. https://doi.org/10.1136/bjophthalmol-2017-310355 (2018).
Herber, R. et al. Assessment of corneal biomechanical parameters in healthy and keratoconic eyes using dynamic bidirectional applanation device and dynamic Scheimpflug analyzer. J. Cataract Refract. Surg. 45, 778–788. https://doi.org/10.1016/j.jcrs.2018.12.015 (2019).
Steinberg, J. et al. Keratoconus screening with dynamic biomechanical in vivo Scheimpflug analyses: a proof-of-concept study. J. Refract. Surg. 33, 773–778. https://doi.org/10.3928/1081597X-20170807-02 (2017).
Holland, D. R. et al. Unilateral keratoconus. Incidence and quantitative topographic analysis. Ophthalmology 104, 1409–1413. https://doi.org/10.1016/s0161-6420(97)30123-7 (1997).
Li, X., Rabinowitz, Y. S., Rasheed, K. & Yang, H. Longitudinal study of the normal eyes in unilateral keratoconus patients. Ophthalmology 111, 440–446. https://doi.org/10.1016/j.ophtha.2003.06.020 (2004).
Smolek, M. K. & Klyce, S. D. Current keratoconus detection methods compared with a neural network approach. Invest. Ophthalmol. Vis. Sci. 38, 2290–2299 (1997).
Ambrosio, R., Jr., Alonso, R. S., Luz, A. & Coca Velarde, L. G. Corneal-thickness spatial profile and corneal-volume distribution: tomographic indices to detect keratoconus. J. Cataract Refract. Surg. 32, 1851-1859,https://doi.org/10.1016/j.jcrs.2006.06.025 (2006).
Itoi, M. et al. Anterior and posterior ratio of corneal surface areas: a novel index for detecting early stage keratoconus. PLoS ONE 15, e0231074. https://doi.org/10.1371/journal.pone.0231074 (2020).
Saad, A. & Gatinel, D. Topographic and tomographic properties of forme fruste keratoconus corneas. Invest. Ophthalmol. Vis. Sci. 51, 5546–5555. https://doi.org/10.1167/iovs.10-5369 (2010).
Koc, M. et al. Biomechanical analysis of subclinical keratoconus with normal topographic, topometric, and tomographic findings. J. Refract. Surg. 35, 247–252. https://doi.org/10.3928/1081597X-20190226-01 (2019).
Steinberg, J. et al. Screening for keratoconus with new dynamic biomechanical in vivo Scheimpflug analyses. Cornea 34, 1404–1412. https://doi.org/10.1097/ICO.0000000000000598 (2015).
Koh, S. et al. Correlation between corneal biomechanical indices and the severity of keratoconus. Cornea 39, 215–221. https://doi.org/10.1097/ICO.0000000000002129 (2020).
Zhao, Y. et al. Relationship among corneal stiffness, thickness, and biomechanical parameters measured by Corvis ST, Pentacam and ORA in keratoconus. Front. Physiol. 10, 740. https://doi.org/10.3389/fphys.2019.00740 (2019).
Andreassen, T. T., Simonsen, A. H. & Oxlund, H. Biomechanical properties of keratoconus and normal corneas. Exp. Eye Res. 31, 435–441. https://doi.org/10.1016/s0014-4835(80)80027-3 (1980).
Matthews, F. J., Cook, S. D., Majid, M. A., Dick, A. D. & Smith, V. A. Changes in the balance of the tissue inhibitor of matrix metalloproteinases (TIMPs)-1 and -3 may promote keratocyte apoptosis in keratoconus. Exp. Eye Res. 84, 1125–1134. https://doi.org/10.1016/j.exer.2007.02.013 (2007).
Roberts, C. J. & Dupps, W. J. Jr. Biomechanics of corneal ectasia and biomechanical treatments. J. Cataract Refract. Surg. 40, 991–998. https://doi.org/10.1016/j.jcrs.2014.04.013 (2014).
Steinberg, J. et al. Tomographic and biomechanical Scheimpflug imaging for keratoconus characterization: a validation of current indices. J. Refract. Surg. 34, 840–847. https://doi.org/10.3928/1081597X-20181012-01 (2018).
Acknowledgements
The present study Granted the support provided by the Henan Key Laboratory of Ophthalmology and Visual Science and National Key Clinical Specialties Construction Program of China.
Funding
This study was supported by National Natural Science Foundation of China (No. 81200664), Natural Science Foundation of Henan Province (No. 182300410362), Basic research and Cultivation Foundation for Young Teachers of Zhengzhou University (No. JC202051049), Special program for basic research of Henan Eye Hospital (No. 20JCZD003), Henan Young Health Science and Technology Innovation Outstanding Program (No. YXKC2020023) and Open Program of Shandong Provincial Key Laboratory of Ophthalmology (No. 2018-04). The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Author information
Authors and Affiliations
Contributions
K.L.Y. conceived and designed the experiments. S.W.R. and K.L.Y. analyzed the data and take responsibility for the integrity and accuracy of the information. L.Y.X., Q.F. and Y.W.G. contributed to the reagents/materials/analysis tools. K.L.Y. and S.W.R. drafted the manuscript. S.W.R., L.Y.X. and K.L.Y. revised the manuscript. All authors have approved the final manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Ren, S., Xu, L., Fan, Q. et al. Accuracy of new Corvis ST parameters for detecting subclinical and clinical keratoconus eyes in a Chinese population. Sci Rep 11, 4962 (2021). https://doi.org/10.1038/s41598-021-84370-y
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-021-84370-y
- Springer Nature Limited
This article is cited by
-
The Chinese keratoconus (CKC) cohort study
European Journal of Epidemiology (2024)
-
Biomechanical changes following corneal crosslinking in keratoconus patients
Graefe's Archive for Clinical and Experimental Ophthalmology (2024)
-
Corneal biomechanics in normal and subclinical keratoconus eyes
BMC Ophthalmology (2023)
-
Detection ability of corneal biomechanical parameters for early diagnosis of ectasia
Eye (2023)