https://www.selleckchem.com/pr....oducts/pf-05221304.h
To develop a prediction model for recurrence by incorporating radiological and clinicopathological prognostic factors in rectal cancer patients. All radiologic and clinicopathologic data of 489 patients with rectal cancer, retrospectively collected from a single institution between 2009 and 2013, were used to develop a predictive model for recurrence using the Cox regression. The model performance was validated on an independent cohort between 2015 and 2017 (N = 168). Out of 489 derivative patients, 103 showed recurrence after surge
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