Research powered by XNAT: OCTAPUS-AI
XNAT is an advanced management system for research images. It uses multiple technologies to provide researchers with the tools they need to process data and view data. The ICR has been at the forefront of developing new capabilities for XNAT, in particular, the ICR-XNAT-OHIF viewer (see Doran et al. Tomography 8.1 (2022). The XNAT Team has the privilege of working with outstanding scientists both locally and internationally, and our tools help them to deliver high-impact clinical studies. This page describes the OCTAPUS-AI study, where research continued through the 2020 and 2021 COVID pandemic lockdowns, and demonstrated how the secure data-sharing made possible by XNAT can facilitate remote collection of data in partner hospitals, curation at a central site and then distribution of those data to authorised researchers at multiple universities.
Hindocha S, Charlton TG, Linton-Reid K, Hunter B, Chan C, Ahmed M, Greenlay EJ, Orton M, Bunce C, Lunn J, Hindocha S, Charlton TG, Linton-Reid K, Hunter B, Chan C, Ahmed M, Greenlay EJ, Orton M, Bunce C, Lunn J, Doran SJ. Gross tumour volume radiomics for prognostication of recurrence & death following radical radiotherapy for NSCLC. Gross tumour volume radiomics for prognostication of recurrence & death following radical radiotherapy for NSCLC. NPJ Precision Oncology. Oct 27;6(1):1-11 (2022)