Development and validation of an intuitive biomechanics-based method for intraocular pressure measurement: a modal analysis approach

Table 1 All 10 secondary parameters with definitions and degrees of correlation with IOP-Corvis, IOP-Pach, age, R, CCT, and A1T in the healthy reference dataset

	\(\frac{{AUC}_{\#1-\#140 Frames}}{{AUC}_{\#24-\#40 Frames}}\)					\(\frac{{AUC}_{\#1-\#140 Frames}}{{AUC}_{\#2nd applanation-\#140 Frames}}\)
Pearson’s r	M₁	M₂	M₃	M₄	M₅	M₁	M₂	M₃	M₄	M₅
IOP-Corvis	0.0460	0.8184	0.0147	0.8460	-0.0426	-0.0923	0.3575	0.0514	0.6062	-0.0118
IOP-Pach	0.0501	0.6864	-0.0254	0.7389	-0.0152	-0.0657	0.3488	0.0153	0.5932	-0.0089
Age	0.0593	0.0857	0.0723	0.1052	-0.0400	-0.0520	0.1456	0.0535	0.1622	-0.0123
R	0.0065	0.3123	0.0783	0.2617	0.0141	-0.0022	0.0272	0.0750	0.1408	-0.0441
CCT	0.0244	0.3261	0.0662	0.2740	-0.0460	-0.0436	0.0556	0.0337	0.0863	-0.0032
A1T	0.0459	0.8222	0.0101	0.8408	-0.0459	-0.0787	0.3621	0.0653	0.6074	-0.0055
Performance	0.0179	0.511	-0.077	0.578	-0.004	-0.0464	0.277	-0.0207	0.469	0.0095

R Corneal curvature radius, CCT Central corneal thickness, A1T First applanation time, AUC Area under curve

ISSN: 1471-2415