Audit feasibility for geometric distortion in magnetic resonance imaging for radiotherapy [0.03%]
磁共振放射治疗几何失真的审计可行性研究
Meshal Alzahrani,David A Broadbent,Robert Chuter et al.
Meshal Alzahrani et al.
Background and purpose: Magnetic Resonance Imaging (MRI) is increasingly being used in radiotherapy (RT). However, geometric distortions are a known challenge of using MRI in RT. The aim of this study was to demonstrate f...
Clinical experience and workflow challenges with magnetic resonance-only radiation therapy simulation and planning for prostate cancer [0.03%]
基于磁共振的前列腺癌放射治疗模拟和计划的临床应用及工作流程挑战
Neelam Tyagi,Michael J Zelefsky,Andreas Wibmer et al.
Neelam Tyagi et al.
Background and purpose: Magnetic Resonance (MR)-only planning has been implemented clinically for radiotherapy of prostate cancer. However, fewer studies exist regarding the overall success rate of MR-only workflows. We r...
An efficient planning technique for low dose whole lung radiation therapy for covid-19 pandemic patients [0.03%]
用于COVID-19大流行患者低剂量全肺放射治疗的有效计划技术
Lulin Yuan,Siyong Kim,Jatinder Palta et al.
Lulin Yuan et al.
This study aimed to establish an efficient planning technique for low dose whole lung treatment that can be implemented rapidly and safely. The treatment technique developed here relied only on chest radiograph and a simple empirical monito...
Comparison of patient stratification by computed tomography radiomics and hypoxia positron emission tomography in head-and-neck cancer radiotherapy [0.03%]
头部和颈部癌症放疗中计算机断层扫描影像组学与低氧PET分层的比较研究
Jairo A Socarrás Fernández,David Mönnich,Sara Leibfarth et al.
Jairo A Socarrás Fernández et al.
Background and purpose: Hypoxia Positron-Emission-Tomography (PET) as well as Computed Tomography (CT) radiomics have been shown to be prognostic for radiotherapy outcome. Here, we investigate the stratification potential...
A convolutional neural network for contouring metastatic lymph nodes on diffusion-weighted magnetic resonance images for assessment of radiotherapy response [0.03%]
用于评估放射治疗反应的转移淋巴结扩散加权磁共振图像勾画卷积神经网络
Oliver J Gurney-Champion,Jennifer P Kieselmann,Kee H Wong et al.
Oliver J Gurney-Champion et al.
Background and purpose: Retrieving quantitative parameters from magnetic resonance imaging (MRI), e.g. for early assessment of radiotherapy treatment response, necessitates contouring regions of interest, which is time-co...
Associations between voxel-level accumulated dose and rectal toxicity in prostate radiotherapy [0.03%]
前列腺放射治疗中体素水平累积剂量与直肠毒性之间的关联研究
Leila E A Shelley,Michael P F Sutcliffe,Simon J Thomas et al.
Leila E A Shelley et al.
Background and purpose: Associations between dose and rectal toxicity in prostate radiotherapy are generally poorly understood. Evaluating spatial dose distributions to the rectal wall (RW) may lead to improvements in dos...
Single-fraction magnetic resonance guided stereotactic radiotherapy - A game changer? [0.03%]
单剂量磁共振引导立体定向放射治疗——一场变革？
Tomas Kron,Daniela Thorwarth
Tomas Kron
Evaluation of the high definition field of view option of a large-bore computed tomography scanner for radiation therapy simulation [0.03%]
评估大型孔径CT模拟仪的高清晰度视场选项以进行放射治疗模拟
Richard Y Wu,Tyler D Williamson,Narayan Sahoo et al.
Richard Y Wu et al.
Background and purpose: Computed tomography (CT) scanning is the basis for radiation treatment planning, but the 50-cm standard scanning field of view (sFOV) may be too small for imaging larger patients. We evaluated the ...
Quantification of accumulated dose and associated anatomical changes of esophagus using weekly Magnetic Resonance Imaging acquired during radiotherapy of locally advanced lung cancer [0.03%]
基于放疗期间每周获取的磁共振图像计算晚期肺癌患者食道的累积剂量及相应解剖结构变化
Sadegh Alam,Maria Thor,Andreas Rimner et al.
Sadegh Alam et al.
Background and purpose: Minimizing acute esophagitis (AE) in locally advanced non-small cell lung cancer (LA-NSCLC) is critical given the proximity between the esophagus and the tumor. In this pilot study, we developed a ...
Deep learning-based auto-segmentation of targets and organs-at-risk for magnetic resonance imaging only planning of prostate radiotherapy [0.03%]
基于深度学习的前列腺放疗单磁共振图像目标区和危及器官自动勾画方法
Sharif Elguindi,Michael J Zelefsky,Jue Jiang et al.
Sharif Elguindi et al.
Background and purpose: Magnetic resonance (MR) only radiation therapy for prostate treatment provides superior contrast for defining targets and organs-at-risk (OARs). This study aims to develop a deep learning model to ...