Big data and machine learning in radiation oncology: state of the art and future prospects
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 …
radiation oncology, through the use of CT Scan, dosimetry and imaging performed before …
Regional responses in radiation-induced normal tissue damage
DC Voshart, J Wiedemann, P van Luijk, L Barazzuol - Cancers, 2021 - mdpi.com
Simple Summary Side effects caused by the concomitant irradiation of normal tissue during
radiotherapy for cancer treatment can negatively affect the patient's quality of life and limit …
radiotherapy for cancer treatment can negatively affect the patient's quality of life and limit …
IMRT QA using machine learning: a multi‐institutional validation
Purpose To validate a machine learning approach to Virtual intensity‐modulated radiation
therapy (IMRT) quality assurance (QA) for accurately predicting gamma passing rates using …
therapy (IMRT) quality assurance (QA) for accurately predicting gamma passing rates using …
Deep nets vs expert designed features in medical physics: an IMRT QA case study
Purpose The purpose of this study was to compare the performance of Deep Neural
Networks against a technique designed by domain experts in the prediction of gamma …
Networks against a technique designed by domain experts in the prediction of gamma …
Method, system and computer-readable media for treatment plan risk analysis
(57) ABSTRACT A method, system and computer readable medium of: pro viding feature
data of at least one organ at risk or target volume of said patient from a database of non …
data of at least one organ at risk or target volume of said patient from a database of non …
[HTML][HTML] Parotid gland stem cell sparing radiation therapy for patients with head and neck cancer: a double-blind randomized controlled trial
RJHM Steenbakkers, MI van Rijn–Dekker… - International Journal of …, 2022 - Elsevier
Purpose Radiation therapy for head and neck cancer frequently leads to salivary gland
damage and subsequent xerostomia. The radiation response of the parotid glands of rats …
damage and subsequent xerostomia. The radiation response of the parotid glands of rats …
[HTML][HTML] The big data effort in radiation oncology: Data mining or data farming?
CS Mayo, ML Kessler, A Eisbruch, G Weyburne… - Advances in Radiation …, 2016 - Elsevier
Although large volumes of information are entered into our electronic health care records,
radiation oncology information systems and treatment planning systems on a daily basis, the …
radiation oncology information systems and treatment planning systems on a daily basis, the …
[HTML][HTML] Machine learning methods uncover radiomorphologic dose patterns in salivary glands that predict xerostomia in patients with head and neck cancer
Purpose Patients with head-and-neck cancer (HNC) may experience xerostomia after
radiation therapy (RT), which leads to compromised quality of life. The purpose of this study …
radiation therapy (RT), which leads to compromised quality of life. The purpose of this study …
[HTML][HTML] Evaluation of classification and regression tree (CART) model in weight loss prediction following head and neck cancer radiation therapy
Objective We explore whether a knowledge–discovery approach building a Classification
and Regression Tree (CART) prediction model for weight loss (WL) in head and neck cancer …
and Regression Tree (CART) prediction model for weight loss (WL) in head and neck cancer …
Spatial descriptions of radiotherapy dose: normal tissue complication models and statistical associations
For decades, dose-volume information for segmented anatomy has provided the essential
data for correlating radiotherapy dosimetry with treatment-induced complications. Dose …
data for correlating radiotherapy dosimetry with treatment-induced complications. Dose …