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Deze abstract is toegekend aan sessie AOB Free Papers 2
Type presentatieOral presentation
TitelEnhancing Posterior Curvature Analysis using Machine Learning for Early Detection of Keratoconus
DoelTo develop a machine learning index based only on posterior curvature to differentiate keratoconus, keratoconus suspect and normal eyes.
Methodes520 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.
ResultatenIn 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.
ConclusieA 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.
BelangenverstrengelingNee
Details verstrengelde belangenNone
Auteurs 1
NaamWEHBI
InitialenZ
InstituutAmerican University of Beirut
StadBeirut, Lebanon
Auteurs 2
NaamAbou Mrad
InitialenA
InstituutAmerican University of Beirut
StadBeirut, Lebanon
Auteurs 3
NaamAssaf
InitialenJ.F
InstituutCasey Eye Institute
StadPortland, Oregon
Auteurs 4
NaamKhalil
InitialenJ
InstituutAmerican University of Beirut
StadBeirut, Lebanon
Auteurs 5
NaamRoberts
InitialenC.J
InstituutDepartments of Ophthalmology and Visual Sciences, Ohio State University
StadOhio, USA
Auteurs 6
NaamAwwad
InitialenS.T
InstituutAmerican University of Beirut
StadBeirut, Lebanon
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