Sücattin İlker Kocamış1, Hasan Basri Çakmak2, Nurullah Çağıl2, Yasin Toklu3. 1. a Ophthalmology Department , Ardahan State Hospital , Ardahan , Turkey . 2. b Ophthalmology Department , Yıldırım Beyazıt University School of Medicine , Ankara , Turkey , and. 3. c Ankara Atatürk Training and Research Hospital Ophthalmology Department , Ankara , Turkey.
Abstract
PURPOSE: The aim of this study was to investigate the sensitivity, specificity, and accuracy of The Cone Location and Magnitude Index (CLMI) in keratoconus diagnosis. METHODS: 301 eyes of 159 keratoconus patients and 394 eyes of 265 refractive surgery candidates as a control group were enrolled in this retrospective clinical study. CLMI was compared with keratometric corneal topography parameters, wavefront aberrations, and pachymetry data derived from optical coherence tomography using independent sample t-tests and ROC curves. Logistic regression analysis was applied to determine the most accurate parameter in keratoconus diagnosis. Pearson's correlation analysis was used to determine the correlation between CLMI and the other measurements. RESULTS: Average axial CLMI (aCLMI) was 8.19 ± 6.15 D in the keratoconus group and 0.83 ± 0.62 D in the control group (p = 0.001). aCLMI had the greatest sensitivity (89%), specificity (94%), and accuracy (92%) for the keratoconus diagnosis at the best cut-off point of 1.82 according to the ROC curve. Logistic regression analysis selected aCLMI as the most accurate measurement among the other parameters (accuracy 92.8%). aCLMI showed strongest correlations with coma-like aberrations (r = 0.881), total high-order aberrations (r = 0.858), and vertical coma (r = -0.814), respectively. CONCLUSION: CLMI is a robust index for screening keratoconus with high sensitivity, specificity, and accuracy.
PURPOSE: The aim of this study was to investigate the sensitivity, specificity, and accuracy of The Cone Location and Magnitude Index (CLMI) in keratoconus diagnosis. METHODS: 301 eyes of 159 keratoconus patients and 394 eyes of 265 refractive surgery candidates as a control group were enrolled in this retrospective clinical study. CLMI was compared with keratometric corneal topography parameters, wavefront aberrations, and pachymetry data derived from optical coherence tomography using independent sample t-tests and ROC curves. Logistic regression analysis was applied to determine the most accurate parameter in keratoconus diagnosis. Pearson's correlation analysis was used to determine the correlation between CLMI and the other measurements. RESULTS: Average axial CLMI (aCLMI) was 8.19 ± 6.15 D in the keratoconus group and 0.83 ± 0.62 D in the control group (p = 0.001). aCLMI had the greatest sensitivity (89%), specificity (94%), and accuracy (92%) for the keratoconus diagnosis at the best cut-off point of 1.82 according to the ROC curve. Logistic regression analysis selected aCLMI as the most accurate measurement among the other parameters (accuracy 92.8%). aCLMI showed strongest correlations with coma-like aberrations (r = 0.881), total high-order aberrations (r = 0.858), and vertical coma (r = -0.814), respectively. CONCLUSION: CLMI is a robust index for screening keratoconus with high sensitivity, specificity, and accuracy.
Authors: Majid Moshirfar; Mahsaw N Motlagh; Michael S Murri; Hamed Momeni-Moghaddam; Yasmyne C Ronquillo; Phillip C Hoopes Journal: Med Hypothesis Discov Innov Ophthalmol Date: 2019
Authors: Francisco Cavas-Martínez; Laurent Bataille; Daniel G Fernández-Pacheco; Francisco J F Cañavate; Jorge L Alió Journal: PLoS One Date: 2017-09-08 Impact factor: 3.240
Authors: Francisco Cavas-Martínez; Laurent Bataille; Daniel G Fernández-Pacheco; Francisco J F Cañavate; Jorge L Alio Journal: Sci Rep Date: 2017-11-20 Impact factor: 4.379