AIMC Topic: Radiotherapy Dosage

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Deep learning architecture with shunted transformer and 3D deformable convolution for voxel-level dose prediction of head and neck tumors.

Physical and engineering sciences in medicine Aug 5, 2024
Intensity-modulated radiation therapy (IMRT) has been widely used in treating head and neck tumors. However, due to the complex anatomical structures in the head and neck region, it is challenging for the plan optimizer to rapidly generate clinically...
Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted Radiation Dosage Humans Deep Learning Radiotherapy Dosage Radiotherapy, Intensity-Modulated
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Integrating Deep Learning-Based Dose Distribution Prediction with Bayesian Networks for Decision Support in Radiotherapy for Upper Gastrointestinal Cancer.

Cancer research and treatment Aug 2, 2024
PURPOSE: Selecting the better techniques to harbor optimal motion management, either a stereotactic linear accelerator delivery using TrueBeam (TBX) or magnetic resonance-guided gated delivery using MRIdian (MRG), is time-consuming and costly. To add...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Pancreatic Neoplasms Bayes Theorem Gastrointestinal Neoplasms Humans Male Female Retrospective Studies Middle Aged Aged Aged, 80 and over Deep Learning Liver Neoplasms
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Clinical implementation and evaluation of deep learning-assisted automatic radiotherapy treatment planning for lung cancer.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Aug 2, 2024
PURPOSE: The purpose of the study is to investigate the clinical application of deep learning (DL)-assisted automatic radiotherapy planning for lung cancer.
Retrospective Studies Deep Learning Lung Neoplasms Organs at Risk Humans Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Automation Radiotherapy Dosage
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Improving 3D dose prediction for breast radiotherapy using novel glowing masks and gradient-weighted loss functions.

Medical physics Aug 1, 2024
BACKGROUND: The quality of treatment plans for breast cancer can vary greatly. This variation could be reduced by using dose prediction to automate treatment planning. Our work investigates novel methods for training deep-learning models that are cap...
Humans Imaging, Three-Dimensional Radiotherapy Planning, Computer-Assisted Radiation Dosage Radiotherapy Dosage Female Breast Neoplasms Deep Learning
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Improving the performance of deep learning models in predicting and classifying gamma passing rates with discriminative features and a class balancing technique: a retrospective cohort study.

Radiation oncology (London, England) Jul 31, 2024
BACKGROUND: The purpose of this study was to improve the deep learning (DL) model performance in predicting and classifying IMRT gamma passing rate (GPR) by using input features related to machine parameters and a class balancing technique.
Nasopharyngeal Carcinoma Radiotherapy Planning, Computer-Assisted Nasopharyngeal Neoplasms Humans Radiotherapy Dosage Gamma Rays Retrospective Studies Radiotherapy, Intensity-Modulated Deep Learning
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Enhanced 3D dose prediction for hypofractionated SRS (gamma knife radiosurgery) in brain tumor using cascaded-deep-supervised convolutional neural network.

Physical and engineering sciences in medicine Jul 30, 2024
Gamma Knife radiosurgery (GKRS) is a well-established technique in radiation therapy (RT) for treating small-size brain tumors. It administers highly concentrated doses during each treatment fraction, with even minor dose errors posing a significant ...
Radiosurgery Humans Neural Networks, Computer Deep Learning Brain Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
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Combined deep learning and radiomics in pretreatment radiation esophagitis prediction for patients with esophageal cancer underwent volumetric modulated arc therapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jul 14, 2024
PURPOSE: To develop a combined radiomics and deep learning (DL) model in predicting radiation esophagitis (RE) of a grade ≥ 2 for patients with esophageal cancer (EC) underwent volumetric modulated arc therapy (VMAT) based on computed tomography (CT)...
Esophagitis Humans Radiotherapy Dosage Middle Aged Retrospective Studies Radiotherapy, Intensity-Modulated Deep Learning Aged, 80 and over Radiomics Radiation Injuries Tomography, X-Ray Computed Adult Male Female Aged Esophageal Neoplasms
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Proton spot dose estimation based on positron activity distributions with neural network.

Medical physics Jul 10, 2024
BACKGROUND: Positron emission tomography (PET) has been investigated for its ability to reconstruct proton-induced positron activity distributions in proton therapy. This technique holds potential for range verification in clinical practice. Recently...
Humans Proton Therapy Radiation Dosage Positron-Emission Tomography Radiotherapy Planning, Computer-Assisted Neural Networks, Computer Radiotherapy Dosage
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Patient-specific deep learning for 3D protoacoustic image reconstruction and dose verification in proton therapy.

Medical physics Jul 9, 2024
BACKGROUND: Protoacoustic (PA) imaging has the potential to provide real-time 3D dose verification of proton therapy. However, PA images are susceptible to severe distortion due to limited angle acquisition. Our previous studies showed the potential ...
Proton Therapy Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Radiation Dosage Radiotherapy Dosage Prostatic Neoplasms Acoustics Humans Male
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Synthetic CT generation for pelvic cases based on deep learning in multi-center datasets.

Radiation oncology (London, England) Jul 9, 2024
BACKGROUND AND PURPOSE: To investigate the feasibility of synthesizing computed tomography (CT) images from magnetic resonance (MR) images in multi-center datasets using generative adversarial networks (GANs) for rectal cancer MR-only radiotherapy.
Male Radiotherapy Dosage Middle Aged Female Rectal Neoplasms Deep Learning Humans Aged Pelvis Image Processing, Computer-Assisted Organs at Risk Tomography, X-Ray Computed Adult Feasibility Studies Radiotherapy Planning, Computer-Assisted Magnetic Resonance Imaging
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