Results 31 to 40 of about 559,127 (246)

Influence of respiratory motion management technique on radiation pneumonitis risk with robotic stereotactic body radiation therapy. [PDF]

, 2018
Purpose/objectivesFor lung stereotactic body radiation therapy (SBRT), real-time tumor tracking (RTT) allows for less radiation to normal lung compared to the internal target volume (ITV) method of respiratory motion management. To quantify the advantage
Bahig, Baker, Barriger, Benedict, Bibault, Borst, Braunstein, Brown, Chang, Depuydt, Descovich, Fowler, Gibbs, Gopal, Guckenberger, Harder, Hoogeman, Jung, Keall, Kim, Movsas, Onishi, Ricardi, Seppenwoolde, Shah, Thariat, Trumm, Tsoutsou, Videtic, Wang, Wennberg, Withers, Yamashita   +32 more
core   +2 more sources

Geometric and dosimetric evaluation of deep learning-based organs at risk auto-segmentation for rectal cancer

Fushe yanjiu yu fushe gongyi xuebao, 2022
To evaluate the clinical applicability of deep learning based auto-segmentation of organs at risk (OARs) based on geometric and dosimetric indices. In this study, a total of 35 patients with rectal cancer who received radiotherapy in the Fudan University
GUO Hongbo, WANG Jiazhou, YANG Cui, XIA Xiang, HU Weigang   +4 more
doaj   +1 more source

Optimization of carbon ion and proton treatment plans using the raster-scanning technique for patients with unresectable pancreatic cancer [PDF]

, 2015
Background: The aim of the thesis is to improve radiation plans of patients with locally advanced, unresectable pancreatic cancer by using carbon ion and proton beams. Patients and methods: Using the treatment planning system Syngo RT Planning (Siemens,
Brons, Stephan, Combs, Stephanie E., Debus, Jürgen, Dreher, Constantin, Ecker, Swantje, El-Shafie, Rami, Habermehl, Daniel, Jäkel, Oliver   +7 more
core   +1 more source

Dosimetric Impact of the Positional Imaging Frequency for Hypofractionated Prostate Radiotherapy – A Voxel-by-Voxel Analysis

Frontiers in Oncology, 2020
BackgroundTo investigate deviations between planned and applied treatment doses for hypofractionated prostate radiotherapy and to quantify dosimetric accuracy in dependence of the image guidance frequency.MethodsDaily diagnostic in-room CTs were carried ...
Mona Splinter, Mona Splinter, Ilias Sachpazidis, Ilias Sachpazidis, Tilman Bostel, Tilman Bostel, Tilman Bostel, Tobias Fechter, Tobias Fechter, Constantinos Zamboglou, Constantinos Zamboglou, Christian Thieke, Oliver Jäkel, Oliver Jäkel, Peter E. Huber, Peter E. Huber, Peter E. Huber, Jürgen Debus, Jürgen Debus, Jürgen Debus, Dimos Baltas, Dimos Baltas, Nils H. Nicolay, Nils H. Nicolay, Nils H. Nicolay, Nils H. Nicolay   +25 more
doaj   +1 more source

The application of 3D-printed oral stents in intensity-modulated radiotherapy for oropharyngeal cancer and their dosimetric effect on organs at risk

European Journal of Medical Research, 2023
Background This study investigates the accuracy of 3D-printed dental stents in intensity-modulated radiotherapy (IMRT) for oropharyngeal cancer (OPC) and their dosimetric effects on normal tissues.
Jungang Ma, Zhuo Chen, Shuixia Liu, Wei Hu, Kunpu Su, Rong He, Peng Zhou, He Xiao, Jia Ju, Qianying Hou, Yinying Zhou, Bin Wang   +11 more
doaj   +1 more source

Searching standard parameters for volumetric modulated arc therapy (VMAT) of prostate cancer [PDF]

, 2012
Background Since December 2009 a new VMAT planning system tool is available in Oncentra® MasterPlan v3.3 (Nucletron B.V.). The purpose of this study was to work out standard parameters for the optimization of prostate cancer.
Dobler, Barbara, Hipp, Matthias, Koelbl, Oliver, Treutwein, Marius   +3 more
core   +2 more sources

Evaluating the Effectiveness of Deep Learning Contouring across Multiple Radiotherapy Centres

Physics and Imaging in Radiation Oncology, 2022
Background and purpose: Deep learning contouring (DLC) has the potential to decrease contouring time and variability of organ contours. This work evaluates the effectiveness of DLC for prostate and head and neck across four radiotherapy centres using a ...
Zoe Walker, Gary Bartley, Christina Hague, Daniel Kelly, Clara Navarro, Jane Rogers, Christopher South, Simon Temple, Philip Whitehurst, Robert Chuter   +9 more
doaj   +1 more source

A generative model for segmentation of tumor and organs-at-risk for radiation therapy planning of glioblastoma patients [PDF]

, 2016
We present a fully automated generative method for simultaneous brain tumor and organs-at-risk segmentation in multi-modal magnetic resonance images. The method combines an existing whole-brain segmentation technique with a spatial tumor prior, which ...
Agn, Mikael, Law, Ian, Munck Af Rosenschöld, Per, Van Leemput, Koen   +3 more
core   +1 more source

Deep Learning-Based Segmentation of Head and Neck Organs-at-Risk with Clinical Partially Labeled Data

Entropy, 2022
Radiotherapy is one of the main treatments for localized head and neck (HN) cancer. To design a personalized treatment with reduced radio-induced toxicity, accurate delineation of organs at risk (OAR) is a crucial step.
Lucía Cubero, Joël Castelli, Antoine Simon, Renaud de Crevoisier, Oscar Acosta, Javier Pascau   +5 more
doaj   +1 more source

Reproducibility of deep inspiration breath hold for prone left-sided whole breast irradiation [PDF]

, 2015
Background: Investigating reproducibility and instability of deep inspiration breath hold (DIBH) in the prone position to reduce heart dose for left-sided whole breast irradiation.
Berwouts, Dieter, De Gersem, Werner, De Neve, Wilfried, MULLIEZ, THOMAS, Remouchamps, Vincent, Speleers, Bruno, Van den Broecke, Rudy, Van Greveling, Annick, Veldeman, Liv, Vercauteren, Tom   +9 more
core   +2 more sources