Abstract:Background
Radiation enteritis (RE) is an adverse event associated with radical radiotherapy (RT) for cervical carcinoma (CC). However, the risk of RE has not been well predicted. We hypothesized that inflammatory markers of pre-/post-treatment complete blood count (CBC)-derived parameters can improve the predictive accuracy for RE using machine learning.
Methods
Patients with cervical squamous cell carcinoma of stage IB2-IIIB receiving radical RT in our hospital from January 1, 2013, to December 31, 2015, w… Show more
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