Construction and Verification of a Radiation Pneumonia Prediction Model Based on Multiple Parameters.

ABSTRACT:

Objective

Patients with lung cancer are at risk of radiation pneumonia (RP) after receiving radiotherapy. We established a prediction model according to the critical indicators extracted from radiation pneumonia patients.

Materials and methods

74 radiation pneumonia patients were involved in the training set. Firstly, the clinical data, hematological and radiation dose parameters of the 74 patients were screened by Logistics regression univariate analysis according to the level of radiation pneumonia. Next, Stepwise regression analysis was utilized to construct the regression model. Then, the influence of continuous variables on RP was tested by smoothing function. Finally, the model was externally verified by 30 patients in validation set and visualized by R code.

Result

SUBMITTER: Yafeng L 

PROVIDER: S-EPMC8287426 | biostudies-literature | 2021 Jan-Dec

REPOSITORIES: biostudies-literature