AIMC Topic: Radiotherapy Dosage

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Closing the gap in plan quality: Leveraging deep-learning dose prediction for adaptive radiotherapy.

Journal of applied clinical medical physics Mar 19, 2025
PURPOSE: Balancing quality and efficiency has been a challenge for online adaptive therapy. Most systems start the online re-optimization with the original planning goals. While some systems allow planners to modify the planning goals, achieving a hi...
Algorithms Retrospective Studies Deep Learning Humans Radiotherapy Dosage Radiotherapy, Intensity-Modulated Head and Neck Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted
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Initial characterization of a novel dual-robot orthovoltage radiotherapy system.

Biomedical physics & engineering express Mar 17, 2025
Adequate access to radiotherapy is a critical global concern affecting low-resource settings such as low- and middle-income countries and rural regions. We propose to reduce this disparity by developing a novel low-cost radiotherapy device that treat...
Computer Simulation Robotics Equipment Design Humans Radiotherapy Radiotherapy Planning, Computer-Assisted Phantoms, Imaging Radiotherapy Dosage Radiometry Monte Carlo Method
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Enhanced dose prediction for head and neck cancer artificial intelligence-driven radiotherapy based on transfer learning with limited training data.

Journal of applied clinical medical physics Mar 14, 2025
PURPOSE: Training deep learning dose prediction models for the latest cutting-edge radiotherapy techniques, such as AI-based nodal radiotherapy (AINRT) and Daily Adaptive AI-based nodal radiotherapy (DA-AINRT), is challenging due to limited data. Thi...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Artificial Intelligence Algorithms Deep Learning Head and Neck Neoplasms Organs at Risk Humans Radiotherapy Planning, Computer-Assisted
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Geometric and Dosimetric Evaluation of a RayStation Deep Learning Model for Auto-Segmentation of Organs at Risk in a Real-World Head and Neck Cancer Dataset.

Clinical oncology (Royal College of Radiologists (Great Britain)) Mar 1, 2025
AIMS: To assess geometric accuracy and dosimetric impact of a deep learning segmentation (DLS) model on a large, diverse dataset of head and neck cancer (HNC) patients treated with intensity-modulated proton therapy (IMPT).
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Deep Learning Head and Neck Neoplasms Organs at Risk Proton Therapy Radiometry Humans Female Aged Male Middle Aged
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Radiotherapy dose prediction using off-the-shelf segmentation networks: A feasibility study with GammaPod planning.

Medical physics Feb 28, 2025
BACKGROUND: Radiotherapy requires precise, patient-specific treatment planning to achieve high-quality dose distributions that improve patient outcomes. Traditional manual planning is time-consuming and clinically impractical for performing necessary...
Feasibility Studies Radiotherapy Dosage Humans Radiotherapy Planning, Computer-Assisted Neural Networks, Computer Radiation Dosage
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A knowledge-based planning model to identify fraction-reduction opportunities in brain stereotactic radiotherapy.

Journal of applied clinical medical physics Feb 21, 2025
OBJECTIVE: To develop and validate a HyperArc-based RapidPlan (HARP) model for three-fraction brain stereotactic radiotherapy (SRT) plans to then use to replan previously treated five-fraction SRT plans. Demonstrating the possibility of reducing the ...
Radiotherapy, Intensity-Modulated Radiosurgery Organs at Risk Radiotherapy Planning, Computer-Assisted Humans Retrospective Studies Radiotherapy Dosage Algorithms Brain Neoplasms Knowledge Bases
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Dose prediction via deep learning to enhance treatment planning of lung radiotherapy including simultaneous integrated boost techniques.

Medical physics Feb 18, 2025
BACKGROUND: Recent studies have shown deep learning techniques are able to predict three-dimensional (3D) dose distributions of radiotherapy treatment plans. However, their use in dose prediction for treatments with varied prescription doses includin...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Organs at Risk Radiotherapy Planning, Computer-Assisted Radiation Dosage Retrospective Studies Deep Learning Lung Neoplasms
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Multi-task learning for automated contouring and dose prediction in radiotherapy.

Physics in medicine and biology Feb 18, 2025
. Deep learning (DL)-based automated contouring and treatment planning has been proven to improve the efficiency and accuracy of radiotherapy. However, conventional radiotherapy treatment planning process has the automated contouring and treatment pl...
Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Automation Radiation Dosage Head and Neck Neoplasms Prostatic Neoplasms Humans Male Deep Learning Image Processing, Computer-Assisted
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Evaluation and failure analysis of four commercial deep learning-based autosegmentation software for abdominal organs at risk.

Journal of applied clinical medical physics Feb 13, 2025
PURPOSE: Deep learning-based segmentation of organs-at-risk (OAR) is emerging to become mainstream in clinical practice because of the superior performance over atlas and model-based autocontouring methods. While several commercial deep learning-base...
Humans Software Radiotherapy Dosage Radiotherapy, Intensity-Modulated Image Processing, Computer-Assisted Algorithms Organs at Risk Tomography, X-Ray Computed Radiotherapy Planning, Computer-Assisted Deep Learning
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Real-time adaptive proton therapy: An AI-based spatio-temporal mono-energetic dose calculation model (CC-LSTM).

Computers in biology and medicine Feb 12, 2025
PURPOSE: To develop a fully AI-based dose estimation model capable of learning and estimating single pencil beam dose distributions, and to verify its performance by testing the model's generalizability on unseen, previously delivered treatment plans...
Glioma Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Proton Therapy Humans Neural Networks, Computer Brain Neoplasms
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