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Fabio Dennstädt,Maximilian Schmalfuss,Johannes Zink et al. Fabio Dennstädt et al.
Background: The growing complexity of oncology and radiation therapy demands structured and precise data management strategies. The National Institutes of Health (NIH) have introduced Common Data Elements (CDEs) as a unif...
Dong-Yun Kim,Bum-Sup Jang,Eunji Kim et al. Dong-Yun Kim et al.
Purpose: Selecting the better techniques to harbor optimal motion management, either a stereotactic linear accelerator delivery using TrueBeam (TBX) or Magnetic Resonance (MR)-guided gated delivery using MRIdian (MRG), is...
M Field,S Vinod,G P Delaney et al. M Field et al.
Aims: The objective of this study was to develop a two-year overall survival model for inoperable stage I-III non-small cell lung cancer (NSCLC) patients using routine radiation oncology data over a federated (distributed...
Sebastien A A Gros,Anand P Santhanam,Alec M Block et al. Sebastien A A Gros et al.
Purpose: This study aimed to evaluate the clinical need for an automated decision-support software platform for adaptive radiation therapy (ART) of head and neck cancer (HNC) patients. ...
Chen-Chen Zhang,Wen Yu,Qin Zhang et al. Chen-Chen Zhang et al.
Introduction: Postoperative radiotherapy (PORT) plays a highly controversial role in pathological N2 (pN2) non-small cell lung cancer (NSCLC) disease. Recent studies reveal that not all patients can benefit from PORT. Fur...
Catriona Hargrave,Timothy Deegan,Tomasz Bednarz et al. Catriona Hargrave et al.
Purpose: To describe a Bayesian network (BN) and complementary visualization tool that aim to support decision-making during online cone-beam computed tomography (CBCT)-based image-guided radiotherapy (IGRT) for prostate ...