AIMC Topic: Radiotherapy Planning, Computer-Assisted

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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...
Radiotherapy, Intensity-Modulated Radiation Dosage Radiotherapy Dosage Deep Learning Humans Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted
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Automated segmentation in pelvic radiotherapy: A comprehensive evaluation of ATLAS-, machine learning-, and deep learning-based models.

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 3, 2024
Artificial intelligence can standardize and automatize highly demanding procedures, such as manual segmentation, especially in an anatomical site as common as the pelvis. This study investigated four automated segmentation tools on computed tomograph...
Radiotherapy Planning, Computer-Assisted Automation Image Processing, Computer-Assisted Prostatic Neoplasms Pelvis Retrospective Studies Tomography, X-Ray Computed Female Uterine Cervical Neoplasms Male Deep Learning Humans Machine Learning
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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 Dosage Aged, 80 and over Bayes Theorem Humans Deep Learning Male Gastrointestinal Neoplasms Retrospective Studies Liver Neoplasms Female Radiotherapy Planning, Computer-Assisted Middle Aged Pancreatic Neoplasms Aged
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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.
Humans Organs at Risk Radiotherapy Planning, Computer-Assisted Automation Retrospective Studies Deep Learning Lung Neoplasms Radiotherapy Dosage Radiotherapy, Intensity-Modulated
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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 Female Radiotherapy Planning, Computer-Assisted Radiation Dosage Breast Neoplasms Radiotherapy Dosage Deep Learning Imaging, Three-Dimensional
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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.
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Nasopharyngeal Carcinoma Humans Retrospective Studies Nasopharyngeal Neoplasms Deep Learning Gamma Rays Radiotherapy Planning, Computer-Assisted
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Deep-learning-based segmentation using individual patient data on prostate cancer radiation therapy.

PloS one Jul 31, 2024
PURPOSE: Organ-at-risk segmentation is essential in adaptive radiotherapy (ART). Learning-based automatic segmentation can reduce committed labor and accelerate the ART process. In this study, an auto-segmentation model was developed by employing ind...
Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Male Humans Tomography, X-Ray Computed Deep Learning Urinary Bladder Prostate Image Processing, Computer-Assisted Organs at Risk
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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 ...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiosurgery Neural Networks, Computer Brain Neoplasms Deep Learning Humans
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Efficient application of deep learning-based elective lymph node regions delineation for pelvic malignancies.

Medical physics Jul 27, 2024
BACKGROUND: While there are established international consensuses on the delineation of pelvic lymph node regions (LNRs), significant inter- and intra-observer variabilities persist. Contouring these clinical target volumes for irradiation in pelvic ...
Female Male Deep Learning Image Processing, Computer-Assisted Lymph Nodes Pelvis Humans Retrospective Studies Tomography, X-Ray Computed Radiotherapy Planning, Computer-Assisted Pelvic Neoplasms
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Deep learning-based voxel sampling for particle therapy treatment planning.

Physics in medicine and biology Jul 19, 2024
Scanned particle therapy often requires complex treatment plans, robust optimization, as well as treatment adaptation. Plan optimization is especially complicated for heavy ions due to the variable relative biological effectiveness. We present a nove...
Radiotherapy Planning, Computer-Assisted Deep Learning Heavy Ion Radiotherapy Head and Neck Neoplasms Organs at Risk Humans
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