Abstract
Contour variation has been correlated with inferior disease control and increased toxicity. 1 Segedin B Petric P. Uncertainties in target volume delineation in radiotherapy - are they relevant and what can we do about them?. Radiol Oncol. 2016; 50: 254-262 Crossref PubMed Scopus (55) Google Scholar While automated algorithms could decrease variability and improve quality, development has been limited by the availability of large multi-segmented datasets. 2 Mak RH Endres MG Paik JH Sergeev RA Aerts H Williams CL et al. Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting. JAMA Oncol. 2019; 5: 654-661 Crossref PubMed Scopus (32) Google Scholar This project aims to conduct a crowdsourced challenge informed by behavioral economics to engage radiation oncologists worldwide in cloud-based contouring. We hypothesize that recruitment strategies and incentives will vary by practice setting. We hypothesize that, among physicians, high volume and specialization will be associated with greater similarity to the consensus contour.
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