Roadmap: proton therapy physics and biology

H Paganetti, C Beltran, S Both, L Dong… - Physics in Medicine …, 2021 - iopscience.iop.org
The treatment of cancer with proton radiation therapy was first suggested in 1946 followed
by the first treatments in the 1950s. As of 2020, almost 200 000 patients have been treated …

Big data and machine learning in radiation oncology: state of the art and future prospects

JE Bibault, P Giraud, A Burgun - Cancer letters, 2016 - Elsevier
Precision medicine relies on an increasing amount of heterogeneous data. Advances in
radiation oncology, through the use of CT Scan, dosimetry and imaging performed before …

Use of normal tissue complication probability models in the clinic

LB Marks, ED Yorke, A Jackson, RK Ten Haken… - International Journal of …, 2010 - Elsevier
The Quantitative Analysis of Normal Tissue Effects in the Clinic (QUANTEC) review
summarizes the currently available three-dimensional dose/volume/outcome data to update …

Artificial intelligence in radiation oncology: a specialty-wide disruptive transformation?

RF Thompson, G Valdes, CD Fuller… - Radiotherapy and …, 2018 - Elsevier
Artificial intelligence (AI) is emerging as a technology with the power to transform
established industries, and with applications from automated manufacturing to advertising …

Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC): an introduction to the scientific issues

SM Bentzen, LS Constine, JO Deasy, A Eisbruch… - International Journal of …, 2010 - Elsevier
Advances in dose–volume/outcome (or normal tissue complication probability, NTCP)
modeling since the seminal Emami paper from 1991 are reviewed. There has been some …

Radiation dose–volume effects in the brain

YR Lawrence, XA Li, I El Naqa, CA Hahn… - International Journal of …, 2010 - Elsevier
We have reviewed the published data regarding radiotherapy (RT)-induced brain injury.
Radiation necrosis appears a median of 1–2 years after RT; however, cognitive decline …

Machine learning approaches for predicting radiation therapy outcomes: a clinician's perspective

J Kang, R Schwartz, J Flickinger, S Beriwal - International Journal of …, 2015 - Elsevier
Radiation oncology has always been deeply rooted in modeling, from the early days of
isoeffect curves to the contemporary Quantitative Analysis of Normal Tissue Effects in the …

Exploring feature-based approaches in PET images for predicting cancer treatment outcomes

I El Naqa, PW Grigsby, A Apte, E Kidd, E Donnelly… - Pattern recognition, 2009 - Elsevier
Accumulating evidence suggests that characteristics of pre-treatment FDG–PET could be
used as prognostic factors to predict outcomes in different cancer sites. Current risk analyses …

[HTML][HTML] Predictive modelling for swallowing dysfunction after primary (chemo) radiation: results of a prospective observational study

MEMC Christianen, C Schilstra, I Beetz… - Radiotherapy and …, 2012 - Elsevier
BACKGROUND AND PURPOSE: The purpose of this large multicentre prospective cohort
study was to identify which dose volume histogram parameters and pre-treatment factors are …

Radiation dose-volume effects in the esophagus

M Werner-Wasik, E Yorke, J Deasy, J Nam… - International Journal of …, 2010 - Elsevier
Publications relating esophageal radiation toxicity to clinical variables and to quantitative
dose and dose–volume measures derived from three-dimensional conformal radiotherapy …