Unraveling biophysical interactions of radiation pneumonitis in non-small-cell lung cancer via Bayesian network analysis.

CONCLUSIONS: Our developed BN approach successfully handled a high number of heterogeneous variables in a small dataset, demonstrating potential for unraveling relevant biophysical features that could enhance prediction of RP2, although the current observations would require further independent validation.
PMID: 28237401 [PubMed - as supplied by publisher]

Source: Radiotherapy and Oncology : journal of the European Society for Therapeutic Radiology and Oncology - February 21, 2017 Category: Radiology Authors: Luo Y, El Naqa I, McShan DL, Ray D, Lohse I, Matuszak MM, Owen D, Jolly S, Lawrence TS, Kong FS, Ten Haken RK Tags: Radiother Oncol Source Type: research