Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Distinguishing subclinical from clinical keratoconus by corneal measurements

View through CrossRef
PurposeThe 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 keratoconus (sKCN) and clinical keratoconus (KCN).MethodsThis is a single-center cohort study with a retrospective review of topographic and tomographic indices and biomechanical parameters on adult patients with subclinical keratoconus (sKCN), clinical keratoconus (KCN), and healthy subjects (control group). The area under the receiver operating curve (AUC) was used to identify the cutoff values for evaluated indices able to distinguish between subjects with sKCN and those with KCN.ResultsSeventy-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 in the sKCN group, men were predominant (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 Front Kmean (AUC = 0.946, Se = 85.6%, Sp = 90.4%, p < 0.0001) and I-S Pentacam (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. Front Kmean Pentacam proved good for case findings (0.806 [0.742 to 0.871]) and screening (0.712 [0.645 to 0.778]). I-S Pentacam performed excellent for case findings (0.826 [0.764 to 0.888]) and good for screening (0.758 [0.700 to 0.817]).ConclusionSubclinical and clinical KCN shared common Pentacam parameters with excellent or good accuracy in distinguishing subjects with and without pathology, but Front Kmean 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 (Pentacam) and CBI (Corvis) parameters, but only CBI is not shared with KCN.
Title: Distinguishing subclinical from clinical keratoconus by corneal measurements
Description:
PurposeThe 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 keratoconus (sKCN) and clinical keratoconus (KCN).
MethodsThis is a single-center cohort study with a retrospective review of topographic and tomographic indices and biomechanical parameters on adult patients with subclinical keratoconus (sKCN), clinical keratoconus (KCN), and healthy subjects (control group).
The area under the receiver operating curve (AUC) was used to identify the cutoff values for evaluated indices able to distinguish between subjects with sKCN and those with KCN.
ResultsSeventy-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 in the sKCN group, men were predominant (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 Front Kmean (AUC = 0.
946, Se = 85.
6%, Sp = 90.
4%, p < 0.
0001) and I-S Pentacam (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.
Front Kmean Pentacam proved good for case findings (0.
806 [0.
742 to 0.
871]) and screening (0.
712 [0.
645 to 0.
778]).
I-S Pentacam performed excellent for case findings (0.
826 [0.
764 to 0.
888]) and good for screening (0.
758 [0.
700 to 0.
817]).
ConclusionSubclinical and clinical KCN shared common Pentacam parameters with excellent or good accuracy in distinguishing subjects with and without pathology, but Front Kmean 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 (Pentacam) and CBI (Corvis) parameters, but only CBI is not shared with KCN.

Related Results

A predictive model for early diagnosis of keratoconus
A predictive model for early diagnosis of keratoconus
Abstract Background: The diagnosis of keratoconus in the early stages of the disease is necessary to initiate an early treatment of keratoconus. Furthermore to avoid possib...
Corneal Deformation Response in Patients With keratoconus and in Healthy Subjects
Corneal Deformation Response in Patients With keratoconus and in Healthy Subjects
Abstract Background To compare the corneal deformation response between patients with keratoconus and healthy subjects and to identify potential characteristics associated...
Predictive model for early diagnosis of keratoconus
Predictive model for early diagnosis of keratoconus
Abstract Background To describe the topographic, pachymetric and aberrometry characteristics in patients with keratoconus, subclinical keratoconus/forme fruste and normal c...
A predictive model for early diagnosis of keratoconus
A predictive model for early diagnosis of keratoconus
Abstract Background: The diagnosis of keratoconus in the early stages of the disease is necessary to initiate an early treatment of keratoconus. Furthermore, to avoid possi...
Asthma and Keratoconus: An analysis of the risk factors association with the severity of keratoconus
Asthma and Keratoconus: An analysis of the risk factors association with the severity of keratoconus
Abstract Background: A cross-sectional study was undertaken in Australia to explore a wide range of risk factors associated with keratoconus. A questionnaire addressing age...
Comparison of corneal biological parameters between transepithelial and epithelium-off corneal cross-linking in keratoconus
Comparison of corneal biological parameters between transepithelial and epithelium-off corneal cross-linking in keratoconus
AIM: To evaluate the differences in corneal biological parameters between transepithelial and epithelium-off corneal cross-linking in keratoconus. METHODS: In our prospective clini...
Corneal densitometry changes in keratoconus patients after intrastromal corneal ring segments implantation
Corneal densitometry changes in keratoconus patients after intrastromal corneal ring segments implantation
BackgroundKeratoconus (KC) is an ectatic corneal disorder characterized by progressive corneal thinning with myopic astigmatism. Intrastromal corneal ring segments (ICRS) have been...

Back to Top