AIMC Topic: Radiotherapy Planning, Computer-Assisted

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Optimizing fractionation schedules for de-escalation radiotherapy in head and neck cancers using deep reinforcement learning.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Mar 14, 2025
PURPOSE: Patients with locally-advanced head and neck squamous cell carcinomas (HNSCCs), particularly those related to human papillomavirus (HPV), often achieve good locoregional control (LRC), yet they suffer significant toxicities from standard che...
Dose Fractionation, Radiation Reinforcement Machine Learning Humans Deep Learning Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Support Vector Machine Radiotherapy Planning, Computer-Assisted
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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...
Deep Learning Head and Neck Neoplasms Organs at Risk Humans Artificial Intelligence Algorithms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated
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A deep learning model for inter-fraction head and neck anatomical changes in proton therapy.

Physics in medicine and biology Mar 10, 2025
To assess the performance of a probabilistic deep learning based algorithm for predicting inter-fraction anatomical changes in head and neck patients.A probabilistic daily anatomy model (DAM) for head and neck patients DAM (DAM) is built on the varia...
Humans Tomography, X-Ray Computed Deep Learning Radiotherapy Planning, Computer-Assisted Image Processing, Computer-Assisted Dose Fractionation, Radiation Head and Neck Neoplasms Proton Therapy
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Interstitial-guided automatic clinical tumor volume segmentation network for cervical cancer brachytherapy.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Mar 6, 2025
Automatic clinical tumor volume (CTV) delineation is pivotal to improving outcomes for interstitial brachytherapy cervical cancer. However, the prominent differences in gray values due to the interstitial needles bring great challenges on deep learni...
Retrospective Studies Tomography, X-Ray Computed Female Tumor Burden Uterine Cervical Neoplasms Humans Brachytherapy Deep Learning Radiotherapy, Image-Guided 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).
Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Proton Therapy Radiometry Middle Aged Deep Learning Head and Neck Neoplasms Aged Male Humans Female
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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...
Radiotherapy Dosage Feasibility Studies Humans Radiotherapy Planning, Computer-Assisted Neural Networks, Computer Radiation Dosage
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Development and validation of a deep reinforcement learning algorithm for auto-delineation of organs at risk in cervical cancer radiotherapy.

Scientific reports Feb 25, 2025
This study was conducted to develop and validate a novel deep reinforcement learning (DRL) algorithm incorporating the segment anything model (SAM) to enhance the accuracy of automatic contouring organs at risk during radiotherapy for cervical cancer...
Organs at Risk Radiotherapy Planning, Computer-Assisted Reinforcement Machine Learning Uterine Cervical Neoplasms Middle Aged Deep Learning Humans Algorithms Tomography, X-Ray Computed Female Adult
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Incorporating indirect MRI information in a CT-based deep learning model for prostate auto-segmentation.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Feb 21, 2025
BACKGROUND AND PURPOSE: Computed tomography (CT) imaging poses challenges for delineation of soft tissue structures for prostate cancer external beam radiotherapy. Guidelines require the input of magnetic resonance imaging (MRI) information. We devel...
Prostate Deep Learning Radiotherapy Planning, Computer-Assisted Magnetic Resonance Imaging Humans Prostatic Neoplasms Tomography, X-Ray Computed Male
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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 ...
Brain Neoplasms Knowledge Bases Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Algorithms Retrospective Studies Radiosurgery
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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 Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Deep Learning Radiation Dosage Humans Lung Neoplasms Radiotherapy Dosage Retrospective Studies Organs at Risk
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