View abstract

Cet abstract a été assigné à session AOB Free Papers 2

Type de présentation	Oral presentation
Titre	Enhancing Posterior Curvature Analysis using Machine Learning for Early Detection of Keratoconus

But	To develop a machine learning index based only on posterior curvature to differentiate keratoconus, keratoconus suspect and normal eyes.
Méthodes	520 eyes of 520 patients from the American University of Beirut Medical Center were included in the study, with 264 normal corneas (NL), 197 eyes diagnosed with keratoconus (KC), and 59 keratoconus suspect corneas (KCS). KCS corneas were normal fellow eyes of patients with highly asymmetric keratoconus. Eight parameters were derived from the axial and tangential posterior curvature maps based on the maximal difference in opposing sector (MDOS) at 1.0, 1.5, 2.0, and 2.5 mm of radii, and fed into a machine-learning algorithm to create a posterior curvature index.
Résultats	In experiment 1 (Normal and KC), a sensitivity of 0.94, a specificity of 0.98 and a positive predictive value (PPV) of 0.98 were achieved by the Random Forest model. The same model in experiment 2 (Normal, KCS and KC) scored a sensitivity of 0.39, a specificity of 0.97 and a PPV of 0.63 in detecting KCS. The MDOS at 1.5 mm radius on axial maps had the most significant contribution in decision making.
Conclusion	A machine-learning index solely based on the corneal posterior curvature was able to differentiate between normal and keratoconus with a decent accuracy, and between KCS and normal with a lower accuracy when compared to available complex models. Posterior curvature incorporation into a multi-model diagnostic system might be beneficial and should be investigated.
Conflit d'intérêt	Non
Détails conflits d'intérêt	None

Auteurs 1

Nom	WEHBI
Initiales	Z
Institut	American University of Beirut
Ville	Beirut, Lebanon

Auteurs 2

Nom	Abou Mrad
Initiales	A
Institut	American University of Beirut
Ville	Beirut, Lebanon

Auteurs 3

Nom	Assaf
Initiales	J.F
Institut	Casey Eye Institute
Ville	Portland, Oregon

Auteurs 4

Nom	Khalil
Initiales	J
Institut	American University of Beirut
Ville	Beirut, Lebanon

Auteurs 5

Nom	Roberts
Initiales	C.J
Institut	Departments of Ophthalmology and Visual Sciences, Ohio State University
Ville	Ohio, USA

Auteurs 6

Nom	Awwad
Initiales	S.T
Institut	American University of Beirut
Ville	Beirut, Lebanon