Does real-time artificial intelligence-based visual pathology enhancement of three-dimensional optical coherence tomography scans optimise treatment decision in patients with nAMD? Rationale and design of the RAZORBILL study ...

• Main Authors: Holz, Frank G, Abreu-Gonzalez, Rodrigo, Bandello, Francesco, Duval, Renaud, O'Toole, Louise, Pauleikhoff, Daniel, Staurenghi, Giovanni, Wolf, Armin, Lorand, Daniel, Clemens, Andreas, Gmeiner, Benjamin
• Format: Article in Journal/Newspaper
• Language: English
• Published: Universität Ulm 2021
• Subjects: imaging; macula; neovascularisation; treatment medical; DDC 610 / Medicine & health; Macular degeneration; Retinal neovascularization; Tomography, Optical coherence; Imaging, Three-dimensional; Senile Makuladegeneration; Netzhaut; Revaskularisation; Optische Kohärenztomografie; Dimension 3; Razorbill
• Online Access: https://dx.doi.org/10.18725/oparu-50227; https://oparu.uni-ulm.de/xmlui/handle/123456789/50303

Background/rationaleArtificial intelligence (AI)-based clinical decision support tools, being developed across multiple fields in medicine, need to be evaluated for their impact on the treatment and outcomes of patients as well as optimisation of the clinical workflow. The RAZORBILL study will investigate the impact of advanced AI segmentation algorithms on the disease activity assessment in patients with neovascular age-related macular degeneration (nAMD) by enriching three-dimensional (3D) retinal optical coherence tomography (OCT) scans with automated fluid and layer quantification measurements.Methods RAZORBILL is an observational, multicentre, multinational, open-label study, comprising two phases: (a) clinical data collection (phase I): an observational study design, which enforces neither strict visit schedule nor mandated treatment regimen was chosen as an appropriate design to collect data in a real-world clinical setting to enable evaluation in phase II and (b) OCT enrichment analysis (phase II): ...