Diagnostic armamentarium of infectious keratitis: A comprehensive review

• Published in: The ocular surface Vol. 23; pp. 27 - 39
• Main Authors: Ting, Darren S.J., Gopal, Bhavesh P., Deshmukh, Rashmi, Seitzman, Gerami D., Said, Dalia G., Dua, Harminder S.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01-01-2022
• Subjects: Artificial Intelligence; Confocal microscopy; Cornea; Corneal infection; Corneal ulcer; Diagnosis; High Impact Original Research; Humans; Keratitis - diagnosis; Keratitis - microbiology; Mass spectrometry; Next-generation sequencing; Polymerase chain reaction; Tomography, Optical Coherence; Polymerase chain reaction; Next-generation sequencing; Confocal microscopy; Corneal infection; Corneal ulcer; Diagnosis; Artificial intelligence; Mass spectrometry
• ISSN: 1542-0124; 1937-5913
• DOI: 10.1016/j.jtos.2021.11.003

Infectious keratitis (IK) represents the leading cause of corneal blindness worldwide, particularly in developing countries. A good outcome of IK is contingent upon timely and accurate diagnosis followed by appropriate interventions. Currently, IK is primarily diagnosed on clinical grounds supplemented by microbiological investigations such as microscopic examination with stains, and culture and sensitivity testing. Although this is the most widely accepted practice adopted in most regions, such an approach is challenged by several factors, including indistinguishable clinical features shared among different causative organisms, polymicrobial infection, long diagnostic turnaround time, and variably low culture positivity rate. In this review, we aim to provide a comprehensive overview of the current diagnostic armamentarium of IK, encompassing conventional microbiological investigations, molecular diagnostics (including polymerase chain reaction and mass spectrometry), and imaging modalities (including anterior segment optical coherence tomography and in vivo confocal microscopy). We also highlight the potential roles of emerging technologies such as next-generation sequencing, artificial intelligence-assisted platforms. and tele-medicine in shaping the future diagnostic landscape of IK.