AIMC Topic: Radiotherapy Dosage

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Assessing population-based to personalized planning strategies for head and neck adaptive radiotherapy.

Journal of applied clinical medical physics Dec 3, 2024
PURPOSE: Optimal head-and-neck cancer (HNC) treatment planning requires accurate and feasible planning goals to meet dosimetric constraints and generate robust online adaptive treatment plans. A new x-ray-based adaptive radiotherapy (ART) treatment p...
Precision Medicine Retrospective Studies Head and Neck Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Artificial Intelligence Algorithms
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Breast radiotherapy planning: A decision-making framework using deep learning.

Medical physics Dec 3, 2024
BACKGROUND: Effective breast cancer treatment planning requires balancing tumor control while minimizing radiation exposure to healthy tissues. Choosing between intensity-modulated radiation therapy (IMRT) and three-dimensional conformal radiation th...
Breast Neoplasms Deep Learning Decision Making Organs at Risk Humans Retrospective Studies Female Radiotherapy, Intensity-Modulated Radiotherapy Planning, Computer-Assisted Radiotherapy, Conformal Radiotherapy Dosage
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Deep learning based super-resolution for CBCT dose reduction in radiotherapy.

Medical physics Dec 3, 2024
BACKGROUND: Cone-beam computed tomography (CBCT) is a crucial daily imaging modality in image-guided and adaptive radiotherapy. However, the use of ionizing radiation in CBCT imaging increases the risk of secondary cancers, which is particularly conc...
Humans Deep Learning Cone-Beam Computed Tomography Radiotherapy Dosage Image Processing, Computer-Assisted Radiotherapy, Image-Guided Head and Neck Neoplasms Radiation Dosage
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Evaluating the dosimetric impact of deep-learning-based auto-segmentation in prostate cancer radiotherapy: Insights into real-world clinical implementation and inter-observer variability.

Journal of applied clinical medical physics Dec 1, 2024
PURPOSE: This study aimed to investigate the dosimetric impact of deep-learning-based auto-contouring for clinical target volume (CTV) and organs at risk (OARs) delineation in prostate cancer radiotherapy planning. Additionally, we compared the geome...
Male Deep Learning Imaging, Three-Dimensional Prostatic Neoplasms Humans Observer Variation Retrospective Studies Tomography, X-Ray Computed Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiometry Prostate Feasibility Studies Organs at Risk Radiotherapy Planning, Computer-Assisted
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Quality and mechanical efficiency of automated knowledge-based planning for volumetric-modulated arc therapy in head and neck cancer.

Journal of applied clinical medical physics Dec 1, 2024
OBJECTIVES: This study aimed to examine the effectiveness of the automated RapidPlan in assessing plan quality and to explore how beam complexity affects the mechanical performance of volumetric modulated arc therapy for head and neck cancers.
Head and Neck Neoplasms Knowledge Bases Organs at Risk Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Algorithms
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Evaluation and comparison of synthetic computed tomography algorithms with 3T MRI for prostate radiotherapy: AI-based versus bulk density method.

Journal of applied clinical medical physics Nov 29, 2024
PURPOSE: Synthetic computed tomography (sCT)-algorithms, which generate computed tomography images from magnetic resonance imaging data, are becoming part of the clinical radiotherapy workflow. The aim of this retrospective study was to evaluate and ...
Retrospective Studies Tomography, X-Ray Computed Male Image Processing, Computer-Assisted Humans Radiotherapy Planning, Computer-Assisted Artificial Intelligence Magnetic Resonance Imaging Radiotherapy Dosage Algorithms Radiotherapy, Intensity-Modulated Prostatic Neoplasms Organs at Risk
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Assessment of clinical feasibility:offline adaptive radiotherapy for lung cancer utilizing kV iCBCT and UNet++ based deep learning model.

Journal of applied clinical medical physics Nov 29, 2024
BACKGROUND: Lung cancer poses a significant global health challenge. Adaptive radiotherapy (ART) addresses uncertainties due to lung tumor dynamics. We aimed to investigate a comprehensively and systematically validated offline ART regimen with high ...
Image Processing, Computer-Assisted Lung Neoplasms Feasibility Studies Organs at Risk Male Middle Aged Deep Learning Cone-Beam Computed Tomography Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Female Aged
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Brain MR-only workflow in clinical practice: A comparison among generators for quality assurance and patient positioning.

Journal of applied clinical medical physics Nov 25, 2024
BACKGROUND AND PURPOSE: Routine quality control procedures are still required for sCT based on artificial intelligence (AI) to verify the performance of the generators. The aim of this study was to evaluate three generators based on AI or bulk densit...
Humans Artificial Intelligence Tomography, X-Ray Computed Brain Neoplasms Image Processing, Computer-Assisted Phantoms, Imaging Quality Assurance, Health Care Radiotherapy Dosage Radiotherapy, Intensity-Modulated Patient Positioning Magnetic Resonance Imaging Workflow Radiotherapy Planning, Computer-Assisted
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Dose prediction of CyberKnife Monte Carlo plan for lung cancer patients based on deep learning: robust learning of variable beam configurations.

Radiation oncology (London, England) Nov 25, 2024
BACKGROUND: Accurate calculation of lung cancer dose using the Monte Carlo (MC) algorithm in CyberKnife (CK) is essential for precise planning. We aim to employ deep learning to directly predict the 3D dose distribution calculated by the MC algorithm...
Radiosurgery Monte Carlo Method Organs at Risk Radiotherapy Planning, Computer-Assisted Humans Radiotherapy Dosage Radiotherapy, Intensity-Modulated Algorithms Deep Learning Lung Neoplasms
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Deep learning-based multiple-CT optimization: An adaptive treatment planning approach to account for anatomical changes in intensity-modulated proton therapy for head and neck cancers.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Nov 23, 2024
BACKGROUNDS: Intensity-modulated proton therapy (IMPT) is particularly susceptible to range and setup uncertainties, as well as anatomical changes.
Proton Therapy Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Algorithms Retrospective Studies Deep Learning Cone-Beam Computed Tomography Head and Neck Neoplasms Organs at Risk
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