Skip to main content

ORIGINAL RESEARCH article

Front. Med.
Sec. Ophthalmology
Volume 11 - 2024 | doi: 10.3389/fmed.2024.1427666

Distinguishing Subclinical from Clinical Keratoconus by Corneal Measurements

Provisionally accepted
Cristina Nicula Cristina Nicula 1Karin Ursula Horvath Karin Ursula Horvath 2Ariadna Patricia Nicula Ariadna Patricia Nicula 3Adriana Elena Bulboacă Adriana Elena Bulboacă 4Sorana D. Bolboaca Sorana D. Bolboaca 5*Dorin Nicula Dorin Nicula 6
  • 1 Department I-Medical Specialties, „Iuliu Hațieganu” University of Medicine and Pharmacy, Cluj-Napoca, Romania
  • 2 Department of Ophthalmology, “George Emil Palade” University of Medicine, Pharmacy, Sciences and Technology, Târgu Mureş, Romania, Târgu Mureş, Romania
  • 3 Emergency County Hospital Targu Mures, Târgu-Mureş, Romania
  • 4 Department of Physiopathology, “Iuliu Hațieganu” Medicine and Pharmacy University, Cluj-Napoca, Romania, Cluj-Napoca, Romania
  • 5 Department of Medical Informatics and Biostatistics, Iuliu Hatiegan University of Medicine and Pharmacy, Cluj-Napoca, Romania
  • 6 Oculens Clinic, Cluj-Napoca, Romania

The final, formatted version of the article will be published soon.

    Purpose: The study aimed to determine the stability of topographic and tomographic indices measured with Pentacam and to evaluate the biomechanical parameters measured with Corvis ST in the diagnosis of subclinical (sKCN) and clinical keratoconus (KCN). Methods: This is a single-center cohort study with a retrospective review of topographic and tomographic indices and biomechanical parameters on adult patients with subclinical keratoconus KCN (sKCN), clinical keratoconus (KCN), and healthy subjects (control group). The area under the receiver operating curve (AUC) was used to identify the cut-off values for evaluated indices able to distinguish between subjects with sKCN and those with KCN. Results: Seventy-six patients (76 eyes) in the sKCN group, 74 patients (132 eyes) in the KCN group, and 70 patients (140 eyes) in the control group were analyzed. Evaluated participants had similar age but with male predominance in the sKCN group (p=0.0070). Significantly higher values in the KCN group of Front Kmax, ISV, IVA, KI, IHD, BAD_D, and lower values of TL and PRC (with excellent accuracy AUC>0.9) were observed in the differentiation of KCN by controls. Similarly, excellent accuracies were obtained by Front Kmax, ISV, IVA, KI, IHD, KISA, I-S, BAD_D, and RMS total with higher values in the KCN group and PRC and ARTmax with lower values in patients with KCN as compared to those with sKCN. Only FrontKmean (AUC=0.946, Se=85.6%, Sp=90.4%, p<0.0001) and I-S (AUC=0.96, Se=84.1%, Sp=97.3%, p<0.0001) proved accurate and not shared with differentiation of sKCN or KCN by normal eyes. FrontKmean proved good for case-findings (0.806 [0.742 to 0.871]) and screening (0.712 [0.645 to 0.778]). I-S performed excellent for case-findings (0.826 [0.764 to 0.888]) and good for screening (0.758 [0.700 to 0.817]). Conclusions: Subclinical and clinical KCN shared common Pentacam parameters with excellent or good accuracy in distinguishing subjects with and without pathology, but FrontKmean and I-S Pentacam proved excellent or good for case-finding and screening and are not shared with differentiation of the sKCN or KCN by the normal eyes. Furthermore, differentiation of sKCN by normal eyes could be done with KISA and CBI parameters, but only CBI is not shared with KCN.

    Keywords: Keratoconus, Subclinical keratoconus, topographic indices, tomographic indices, Biomechanical parameters

    Received: 04 May 2024; Accepted: 20 Sep 2024.

    Copyright: © 2024 Nicula, Horvath, Nicula, Bulboacă, Bolboaca and Nicula. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Sorana D. Bolboaca, Department of Medical Informatics and Biostatistics, Iuliu Hatiegan University of Medicine and Pharmacy, Cluj-Napoca, Romania

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.