Mathematical models of normal tissue complication probability (NTCP) able to robustly
predict radiation-induced morbidities (RIM) play an essential role in the identification of a …

This comprehensive review addresses most organs at risk involved in planning optimization
for prostate cancer. It can be considered an update of a previous educational review that …

Purpose The aims of this study were to systematically review tolerance doses for late distinct
gastrointestinal (GI), genitourinary (GU), and sexual dysfunction (SD) symptoms after …

Background and purpose We evaluated dose distributions in the anorectum and its relation
to acute gastrointestinal toxicities using dose surface maps in an image-guided (IG) IMRT …

Radiotherapy is a mainstay of cancer treatment, used in either a curative or palliative
manner to treat approximately 50% of patients with cancer. Normal tissue toxicity limits the …

Advances in patient-specific information and biotechnology have contributed to a new era of
computational medicine. Radiogenomics has emerged as a new field that investigates the …

Purpose To develop normal tissue complications (NTCP) models for hepatocellular cancer
(HCC) patients who undergo liver radiation therapy (RT) and to evaluate the potential role of …

Purpose This study aims to perform a comprehensive systematic review of deep learning
(DL) models in predicting RT-induced toxicity. Materials and methods A literature review was …

For decades, dose-volume information for segmented anatomy has provided the essential
data for correlating radiotherapy dosimetry with treatment-induced complications. Dose …

Purpose Changes in fraction size of external beam radiation therapy exert nonlinear effects
on subsequent toxicity. Commonly described by the linear-quadratic model, fraction size …