Diagnostic platform combines anterior surface topography, corneal tomography data
An analysis combining information from anterior Placido topography and corneal tomography obtained using a proprietary corneal imaging diagnostic platform (Orbscan II, Bausch + Lomb) has shown high sensitivity and specificity for discriminating between Placido negative eyes with forme fruste keratoconus (FFKC) and normal controls, and shows promise as a clinically useful tool for early diagnosis of keratectasia, said Dr Damien Gatinel, PhD.
"Our investigation shows that in eyes where there is no suspicion of keratoconus based on objective analysis of the anterior topography, evaluation of corneal tomography data may sometimes reveal an underlying ectatic condition," he added.
"Answering the question of what technique is superior for early detection of keratectasiasusceptible corneas requires welldesigned investigations. These must use a pertinent clinical model and appropriate statistical methods," Dr Gatinel said.
"These studies must include corneas with known keratectasia susceptibility, and to achieve maximum specificity and sensitivity, they must use discriminant analysis that evaluates the method's performance in separating the study groups and so minimizes false negatives and false positives," he explained.
Borrowing from Dr Stephen D. Klyce, PhD, who stated that the fellow eye of a patient with unilateral keratoconus should be considered as having FFKC, Dr Gatinel suggested that the fellow 'normal' represents the perfect false negative model for discriminant analysis studies.
"As Dr Klyce said, although the FFKC eye has no clinical findings of keratoconus and is Placido negative, it has genetic susceptibility to keratoconus and is considered to have subclinical keratoconus," he said.
AAO 2024: Detail outlined for Artificial Intelligence Innovation Center at Wilmer Eye Institute
October 24th 2024During a conversation at the American Academy of Ophthalmology annual meeting in Chicago, T.Y. Alvin Liu, MD, discussed plans for the James P. Gills Jr, MD, & Heather Gills Artificial Intelligence Innovation Center at the Wilmer Eye Institute at Johns Hopkins Medicine.