The IASLC is forming an international confederation of collaborating individuals and institutions who share a vision to develop a global CT image archive to catalyze progress in managing early thoracic diseases in a precompetitive, vendor-neutral, open collaborative environment. This initiative will rapidly accelerate improvements to the multi-disciplinary management of early curable, lung cancer and other major thoracic diseases, including coronary artery disease and COPD.

The goal of this pilot project is to develop an initial version of free and open source software that implements a basic ELIC Hub & Spoke Environment (H&SE) and use it to run a proof of concept quantitative imaging demonstration at the IASLC 19th World Conference on Lung Cancer in Toronto, Canada on September 22, 2018.

The demonstration will show that the developed H&SE can perform useful quantitative imaging computational experiments on large collections of globally distributed CT lung cancer imaging cases without moving CT image data out of geographic regions. The final demonstration will setup a central Hub server and 10 globally distributed Spoke servers on the Amazon cloud, each containing 100 publicly available CT lung cancer screening scans, and then simultaneously run and obtain summary results for two quantitative imaging algorithms.