A pilot study using kernelled support tensor machine for distant failure prediction in lung SBRT

Non-small cell lung cancer (NSCLC) is the most common type of lung cancer worldwide (World Health Organization, 2017). Approximately of NSCLC patients present with early-stage, localized disease that can be controlled upon receiving treatment with curative-intent (Howlader N, 2016), although this number may rise with the recent implementation of CT-based screening programs (Team, 2013). In general, surgery has been the standard treatment for early stage NSCLC with long-term local control rates of (Miller et al., 2016), but systemic failure rates range from 15-20% (Ginsberg et al., 1995; Martini et al., 1995).

Source: Medical Image Analysis - September 15, 2018 Category: Radiology Authors: Shulong Li, Bin Li, Zhiguo Zhou, Ning Yang, Hongxia Hao, Michael R. Folkert, Puneeth Iyengar, Kenneth Westover, Hak Choy, Robert Timmerman, Steve Jiang, Jing Wang Source Type: research