Comparison of a Scheimpflug imaging with other screening indices in diagnosing keratoconus and keratoconus suspect.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
05 Oct 2024
Historique:
received: 27 06 2024
accepted: 26 09 2024
medline: 6 10 2024
pubmed: 6 10 2024
entrez: 5 10 2024
Statut: epublish

Résumé

Keratoconus (KC) is an irreversible blinding eye disease; therefore, early screening of KC suspects (KCS) is crucial for protecting patients' quality of life. Scheimpflug imaging is a commonly used screening device in clinical practice. We aimed to evaluate the diagnostic ability of a Scheimpflug imaging device (Scansys) for KC and KCS and compared it with other Scheimpflug-based devices (Pentacam and Corvis ST). This prospective case-control study included 107 normal eyes, 72 KCS, and 57 KC. Scansys screening index Keratoconus probability (KCP) showed excellent performance in diagnosing KC at a cutoff value of 16.4 (area under the receiver operating characteristic [AUROC] = 1.000), with 100% sensitivity and 98.11% specificity. KCP had a better KCS diagnostic ability at a cutoff value of 8.9 (AUROC = 0.813) than Corvis biomechanical index (CBI, AUROC = 0.764), reaching 67.61% sensitivity and 85.85% specificity. Pentacam screening index Belin/Ambrósio enhanced ectasia display deviation (BAD-D) showed the best performance with 92.96% sensitivity and 89.62% specificity at a cutoff value of 1.525 (AUROC = 0.970) in diagnosing KCS. Scansys provides accurate KCP parameters in diagnosing KC; however, the efficiency of diagnosing KCS should be further optimized.

Identifiants

pubmed: 39369097
doi: 10.1038/s41598-024-74497-z
pii: 10.1038/s41598-024-74497-z
doi:

Types de publication

Journal Article Comparative Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

23187

Subventions

Organisme : The National Program on Key Research Project of China
ID : 2022YFC2404502
Organisme : The National Natural Science Foundation of China
ID : 82271118
Organisme : The Tianjin Diversified Investment Fund for Applied Basic Research
ID : 21JCZDJC01190
Organisme : The Tianjin Health and Technology Project
ID : TJWJ2022XK036
Organisme : The Tianjin Key Medical Discipline (Specialty) Construction Project
ID : TJYXZDXK-016A
Organisme : The Tianjin Natural Science Foundation
ID : 21JCQNJC0100

Informations de copyright

© 2024. The Author(s).

Références

Santodomingo-Rubido, J. et al. Keratoconus: an updated review. Cont. Lens Anterior Eye. 45, 101559. https://doi.org/10.1016/j.clae.2021.101559 (2022).
doi: 10.1016/j.clae.2021.101559
McMonnies, C. W. Screening for keratoconus suspects among candidates for refractive surgery. Clin. Exp. Optom.97, 492–498 (2014).
doi: 10.1111/cxo.12169
Moshirfar, M. et al. Ectasia after corneal refractive surgery: a systematic review. Ophthalmol. Ther.10, 753–776 (2021).
doi: 10.1007/s40123-021-00383-w
Randleman, J. B., Woodward, M., Lynn, M. J. & Stulting, R. D. Risk assessment for ectasia after corneal refractive surgery. Ophthalmology. 115, 37–50 (2008).
doi: 10.1016/j.ophtha.2007.03.073
Kong, A. W. et al. Trends in corneal topography and tomography imaging for keratoconus management. Clin. Ophthalmol.16, 1357–1363 (2022).
doi: 10.2147/OPTH.S361352
de Sanctis, U., Missolungi, A., Mutani, B., Richiardi, L. & Grignolo, F. M. Reproducibility and repeatability of central corneal thickness measurement in keratoconus using the rotating Scheimpflug camera and ultrasound pachymetry. Am. J. Ophthalmol.144, 712–718 (2007).
doi: 10.1016/j.ajo.2007.07.021
Kuo, A. N. et al. Advanced corneal imaging in keratoconus: a report by the American Academy of Ophthalmology. Ophthalmology. 131, 107–121 (2024).
doi: 10.1016/j.ophtha.2023.07.030
de Sanctis, U. et al. Sensitivity and specificity of posterior corneal elevation measured by Pentacam in discriminating keratoconus/subclinical keratoconus. Ophthalmology. 115, 1534–1539 (2008).
doi: 10.1016/j.ophtha.2008.02.020
McAlinden, C., Khadka, J. & Pesudovs, K. A comprehensive evaluation of the precision (repeatability and reproducibility) of the oculus Pentacam HR. Invest. Ophthalmol. Vis. Sci.52, 7731–7737 (2011).
doi: 10.1167/iovs.10-7093
Zhao, Y. et al. The precision and agreement of corneal thickness and keratometry measurements with SS-OCT versus Scheimpflug imaging. Eye Vis. (Lond). 7, 32 (2020).
doi: 10.1186/s40662-020-00197-0
Ruiseñor Vázquez, P. R. et al. Pentacam Scheimpflug tomography findings in topographically normal patients and subclinical keratoconus cases. Am. J. Ophthalmol.158, 32–40e2 (2014).
doi: 10.1016/j.ajo.2014.03.018
Vinciguerra, R. et al. Detection of keratoconus with a new biomechanical index. J. Refract. Surg.32, 803–810 (2016).
doi: 10.3928/1081597X-20160629-01
Ambrósio, R. et al. Integration of Scheimpflug-based corneal tomography and biomechanical assessments for enhancing ectasia detection. J. Refract. Surg.33, 434–443 (2017).
doi: 10.3928/1081597X-20170426-02
Kanclerz, P., Przewłócka, K., Toprak, I. & Alio, J. The prevalence of keratoconus in northern Poland: a cross-sectional study of patients from a primary healthcare practice. Cont. Lens Anterior Eye. 46, 101846. https://doi.org/10.1016/j.clae.2023.101846 (2023).
doi: 10.1016/j.clae.2023.101846
Yu, A. Y. et al. Reliability and agreement of the central and mid-peripheral corneal thickness measured by a new Scheimpflug based imaging. Ann. Transl Med.9, 1136. https://doi.org/10.21037/atm-20-7895 (2021).
doi: 10.21037/atm-20-7895
Xu, W. et al. Repeatability and agreement between a reference Scheimpflug tomographer and a low-cost Scheimpflug system. J. Cataract Refract. Surg.49, 614–619 (2023).
doi: 10.1097/j.jcrs.0000000000001168
Seiler, T. G., Mueller, M. & Mendes Baiao, T. Repeatability and comparison of corneal tomography in mild to severe keratoconus between the anterior segment OCT MS-39 and Pentacam HR. J. Refract. Surg.38, 250–255 (2022).
doi: 10.3928/1081597X-20220114-02
Gustafsson, I., Bergström, A., Myers, A. C., Ivarsen, A. & Hjortdal, J. Association between Keratoconus disease severity and repeatability in measurements of parameters for the assessment of progressive disease. PLOS ONE. 15, e0228992. https://doi.org/10.1371/journal.pone.0228992 (2020).
doi: 10.1371/journal.pone.0228992
Meyer, J. J., Gokul, A., Vellara, H. R., Prime, Z. & McGhee, C. N. J. Repeatability and agreement of Orbscan II, Pentacam HR, and Galilei tomography systems in corneas with keratoconus. Am. J. Ophthalmol.175, 122–128 (2017).
doi: 10.1016/j.ajo.2016.12.003
Randleman, J. B. et al. Subclinical keratoconus detection and characterization using motion-tracking Brillouin microscopy. Ophthalmology. 131, 310–321 (2024).
doi: 10.1016/j.ophtha.2023.10.011
McAlinden, C., Khadka, J. & Pesudovs, K. Statistical methods for conducting agreement (comparison of clinical tests) and precision (repeatability or reproducibility) studies in optometry and ophthalmology. Ophthalmic Physiol. Opt.31, 330–338 (2011).
doi: 10.1111/j.1475-1313.2011.00851.x
Henriquez, M. A., Hadid, M. & Izquierdo, L. Jr. A systematic review of subclinical keratoconus and forme fruste keratoconus. J. Refract. Surg.36, 270–279 (2020).
doi: 10.3928/1081597X-20200212-03
Gomes, J. A. P. et al. Global consensus on keratoconus and ectatic diseases. Cornea. 34, 359–369 (2015).
doi: 10.1097/ICO.0000000000000408
Shetty, R. et al. Keratoconus screening indices and their diagnostic ability to distinguish normal from ectatic corneas. Am. J. Ophthalmol.181, 140–148 (2017).
doi: 10.1016/j.ajo.2017.06.031
Ferdi, A. et al. Predictors of progression in untreated keratoconus: a Save Sight Keratoconus Registry study. Br. J. Ophthalmol.106, 1206–1211 (2022).
doi: 10.1136/bjophthalmol-2020-317547
Shajari, M. et al. Evaluation of keratoconus progression. Br. J. Ophthalmol.103, 551–557 (2019).
doi: 10.1136/bjophthalmol-2017-311651
Meyer, J. J., Gokul, A., Vellara, H. R. & McGhee, C. N. J. Progression of Keratoconus in children and adolescents. Br. J. Ophthalmol.107, 176–180 (2023).
doi: 10.1136/bjophthalmol-2020-316481
Chan, E. et al. Prevalence of keratoconus based on Scheimpflug imaging: the Raine study. Ophthalmology. 128, 515–521 (2021).
doi: 10.1016/j.ophtha.2020.08.020
Neuhann, S. et al. Comparison of variables measured with a Scheimpflug device for evaluation of progression and detection of keratoconus. Sci. Rep. 10.  https://doi.org/10.1038/s41598-020-76020-6 (2020).
Asroui, L. et al. Biomechanical evaluation of topographically and tomographically normal fellow eyes of patients with keratoconus. J. Refract. Surg.38, 318–325 (2022).
doi: 10.3928/1081597X-20220225-01
Huo, Y. et al. Biomechanical properties analysis of forme fruste keratoconus and subclinical keratoconus. Graefes Arch. Clin. Exp. Ophthalmol.261, 1311–1320 (2023).
doi: 10.1007/s00417-022-05916-y
Song, P., Ren, S., Liu, Y., Li, P. & Zeng, Q. Detection of subclinical keratoconus using a novel combined tomographic and biomechanical model based on an automated decision tree. Sci. Rep.12, 5316. https://doi.org/10.1038/s41598-022-09160-6 (2022).
doi: 10.1038/s41598-022-09160-6
Padmanabhan, P. & Elsheikh, A. Keratoconus: a biomechanical perspective. Curr. Eye Res.48, 121–129 (2023).
doi: 10.1080/02713683.2022.2088798
Steinberg, J. et al. Screening for keratoconus with new dynamic biomechanical in vivo scheimpflug analyses. Cornea. 34–1012, 1404–1412 (2015).
doi: 10.1097/ICO.0000000000000598
Salman, A., Darwish, T., Ali, A., Ghabra, M. & Rafea, S. Sensitivity and specificity of Sirius indices in diagnosis of keratoconus and suspect keratoconus. Eur. J. Ophthalmol. 790–797 (2021).
Shetty, R. et al. Repeatability and agreement of three Scheimpflug-based imaging systems for measuring anterior segment parameters in keratoconus. Invest. Ophthalmol. Vis. Sci.55, 5263–5268 (2014).
doi: 10.1167/iovs.14-15055
Chen, X. et al. Screening of sensitive in vivo characteristics for early keratoconus diagnosis: a multicenter study. Front. Bioeng. Biotechnol.11, 1158299. https://doi.org/10.3389/fbioe.2023.1158299 (2023).
doi: 10.3389/fbioe.2023.1158299
de Luis Eguileor, B., Argaluza, E., Pijoán, J., Zubizarreta, J. I. & Carro, S. Etxebarria Ecenarro, J. evaluation of the reliability and repeatability of Scheimpflug system measurement in keratoconus. Cornea. 37, 177–181 (2018).
doi: 10.1097/ICO.0000000000001373
Kreps, E. O. et al. Repeatability of the Pentacam HR in various grades of keratoconus. Am. J. Ophthalmol.219, 154–162 (2020).
doi: 10.1016/j.ajo.2020.06.013

Auteurs

Yan Huo (Y)

School of Medicine, Nankai University, Tianjin, China.

Ruisi Xie (R)

School of Medicine, Nankai University, Tianjin, China.

Xuan Chen (X)

School of Medicine, Nankai University, Tianjin, China.

Shuangcheng Li (S)

School of Medicine, Nankai University, Tianjin, China.

Haohan Zou (H)

Tianjin Key Lab of Ophthalmology and Visual Science, Tianjin Eye Institute, Tianjin Eye Hospital, Nankai University Affiliated Eye Hospital, Tianjin, China.
Nankai Eye Institute, Nankai University, No. 4, Gansu Road, Heping District, Tianjin, 300020, China.

Yutong Liu (Y)

School of Medicine, Nankai University, Tianjin, China.

Yan Wang (Y)

School of Medicine, Nankai University, Tianjin, China. wangyan7143@vip.sina.com.
Tianjin Key Lab of Ophthalmology and Visual Science, Tianjin Eye Institute, Tianjin Eye Hospital, Nankai University Affiliated Eye Hospital, Tianjin, China. wangyan7143@vip.sina.com.
Nankai Eye Institute, Nankai University, No. 4, Gansu Road, Heping District, Tianjin, 300020, China. wangyan7143@vip.sina.com.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH