Radiomic analysis of planning computed tomograms for predicting radiation-induced lung injury and outcome in lung cancer patients treated with robotic stereotactic body radiation therapy

Khaled Bousabarah,Susanne Temming,Mauritius Hoevels,Jan Borggrefe,Wolfgang W. Baus,Daniel Ruess,Veerle Visser-Vandewalle,Maximilian I. Ruge,Martin Kocher,Harald Treuer

Radiomic analysis of planning computed tomograms for predicting radiation-induced lung injury and outcome in lung cancer patients treated with robotic stereotactic body radiation therapy

2019

Khaled Bousabarah
Susanne Temming
Mauritius Hoevels
Jan Borggrefe
Wolfgang W. Baus
Daniel Ruess
Veerle Visser-Vandewalle
Maximilian I. Ruge
Martin Kocher
Harald Treuer

Objectives To predict radiation-induced lung injury and outcome in non-small cell lung cancer (NSCLC) patients treated with robotic stereotactic body radiation therapy (SBRT) from radiomic features of the primary tumor.

Keywords:

Pathology
Primary tumor
Radiology
Biomarker (medicine)
Lung cancer
Radiation therapy
Radiobiology
Medicine
Lung
Radiation-induced lung injury
lung injury
Proportional hazards model

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