Current Study
|
2019
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UHR-OCT, Scheimpflug camera
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Neural network
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38 eyes with KC, 33 eyes with subclinical KC, 50 normal eyes
|
93% precision for subclinical KC eyes, 99% precision for KC eyes
|
Smolek et al. [9]
|
1997
|
Corneal topography
|
Neural network
|
6 KC suspect eyes, 33 eyes with KC
|
100% accuracy, sensitivity and specificity for all KC suspect and KC eyes
|
Accardo et al. [24]
|
2002
|
Corneal topography
|
Neural network
|
120 eyes with early KC eyes, 120 normal eyes
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94.1% sensitivity, 97.6% specificity for early KC eyes
|
Arbelaez et al. [11]
|
2012
|
Scheimpflug camera and Placido corneal topography
|
SVM
|
877 eyes with KC, 426 eyes with subclinical KC, 1259 healthy control eyes
|
98.2% accuracy (95.0% sensitivity and 99.3% specificity) for KC eyes and 97.3% accuracy (92.0% sensitivity and 97.7% specificity) for subclinical KC eyes
|
Smadja et al. [10]
|
2013
|
Scheimpflug camera
|
Decision tree
|
148 eyes with KC, 177 eyes with forme fruste KC, 372 healthy control eyes
|
100% sensitivity and 99.5% specificity for KC eyes, 93.6% sensitivity and 97.2% specificity for forme fruste KC eyes
|
Kovacs et al. [25]
|
2016
|
Scheimpflug camera
|
Neural network
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60 eyes with KC, 15 eyes with preclinical KC, 60 healthy control eyes
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0.99 AUC, 100% sensitivity and 98% specificity for KC eyes, 0.96 AUC, 92% sensitivity and 85% specificity for preclinical KC eyes
|
Saad et al. [26]
|
2016
|
Placido based corneal topography and corneal wavefront measurements
|
Neural network
|
62 eyes with forme fruste KC, 114 normal eyes
|
0.97 AUC, 63% sensitivity and 82% for forme fruste KC, 100% sensitivity and 82% specificity for KC eyes
|
Hidalgo et al. [27]
|
2016
|
Scheimpflug camera
|
SVM
|
454 eyes with KC, 67 eyes with forme fruste KC, 194 normal eyes
|
98.9% accuracy, 99.1% sensitivity and 98.5% specificity for KC eyes, 93.1% accuracy, 79.1% sensitivity and 97.7% specificity for forme fruste KC eyes
|
Ambrosio et al. [21]
|
2017
|
Scheimpflug camera and biomechanical camera
|
SVM, random forest
|
111 eyes with KC, 227 normal eyes
|
1.0 AUC for KC eyes
|
Lopes et al. [12]
|
2018
|
Scheimpflug camera
|
Random forest
|
71 eyes with ectasia susceptibility, 182 eyes with KC, 2980 normal eyes
|
85.2% sensitivity and 0.966 specificity, 0.968 AUC for suspected KC eyes.
|
Issarti et al. [28]
|
2019
|
Scheimpflug camera
|
Neural network
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77 eyes with suspect KC, 312 normal eyes
|
96.56% accuracy, 97.78% sensitivity and 95.56% specificity for suspect KC eyes
|