Advancements in data-driven technologies and the inclusion of information-rich multiomics
features have significantly improved the performance of outcomes modeling in radiation …

Lung cancer is the major cause of cancer‐related death in this generation, and it is expected
to remain so for the foreseeable future. It is feasible to treat lung cancer if the symptoms of …

The radiotherapy (RT) process from planning to treatment delivery is a multistep, complex
operation involving numerous levels of human-machine interaction and requiring high …

Background This study was designed to establish radiation pneumonitis (RP) prediction
models using dosiomics and/or deep learning-based radiomics (DLR) features based on 3D …

Purpose The aim was to investigate the advantages of dosiomic and radiomic features over
traditional dose-volume histogram (DVH) features for predicting the development of …

Background Definitive concurrent chemoradiotherapy (CCRT) is the standard treatment for
locally advanced non-small cell lung cancer (LANSCLC) patients, but the treatment …

Objective The purpose of this study was to develop a model using dose volume histogram
(DVH) and dosiomic features to predict the risk of radiation pneumonitis (RP) in the …

Simple Summary The pathological complete response (pCR) after neoadjuvant
chemoradiotherapy (CCRT) is an independent prognostic factor for progression-free and …

The human microbiome is a vast collection of microbial species that exist throughout the
human body and regulate various bodily functions and phenomena. Of the microbial species …

Radiation pneumonitis (RP) is a serious side effect of radiotherapy in patients with locally
advanced non-small-cell lung cancer (NSCLC). Image cropping reduces training noise and …