AIMC Topic: Radiotherapy Planning, Computer-Assisted

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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 Retrospective Studies Tomography, X-Ray Computed Observer Variation 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 Radiotherapy Dosage Male Humans Radiotherapy, Intensity-Modulated Image Processing, Computer-Assisted Magnetic Resonance Imaging Artificial Intelligence Prostatic Neoplasms Algorithms Organs at Risk Radiotherapy Planning, Computer-Assisted
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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 Male Lung Neoplasms Organs at Risk Middle Aged Feasibility Studies Humans Radiotherapy Planning, Computer-Assisted Deep Learning Female Radiotherapy Dosage Cone-Beam Computed Tomography Aged Radiotherapy, Intensity-Modulated
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Rapid in vivo EPID image prediction using a combination of analytically calculated attenuation and AI predicted scatter.

Medical physics Nov 28, 2024
BACKGROUND: The electronic portal imaging device (EPID) can be used in vivo, to detect on-treatment errors by evaluating radiation exiting a patient. To detect deviations from the planning intent, image predictions need to be modeled based on the pat...
Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Scattering, Radiation Electrical Equipment and Supplies Deep Learning Time Factors Image Processing, Computer-Assisted Humans Neural Networks, Computer
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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...
Phantoms, Imaging Image Processing, Computer-Assisted Magnetic Resonance Imaging Workflow Humans Quality Assurance, Health Care Radiotherapy Planning, Computer-Assisted Artificial Intelligence Radiotherapy Dosage Tomography, X-Ray Computed Radiotherapy, Intensity-Modulated Brain Neoplasms Patient Positioning
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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...
Humans Algorithms Deep Learning Lung Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Radiosurgery Monte Carlo Method
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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.
Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Proton Therapy Retrospective Studies Deep Learning Cone-Beam Computed Tomography Head and Neck Neoplasms Humans Algorithms
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Automated robotic-assisted patient positioning method and dosimetric impact analysis for boron neutron capture therapy.

Scientific reports Nov 22, 2024
Boron Neutron Capture Therapy (BNCT) represents a revolutionary approach in targeted radiation treatment for cancer. While the therapy's potential in precise targeting is well-recognized, a critical bottleneck remains in the accurate positioning of p...
Radiotherapy Dosage Patient Positioning Phantoms, Imaging Radiometry Neoplasms Robotics Radiotherapy Planning, Computer-Assisted Boron Neutron Capture Therapy Humans Algorithms
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Artificial intelligence contouring in radiotherapy for organs-at-risk and lymph node areas.

Radiation oncology (London, England) Nov 21, 2024
INTRODUCTION: The delineation of organs-at-risk and lymph node areas is a crucial step in radiotherapy, but it is time-consuming and associated with substantial user-dependent variability in contouring. Artificial intelligence (AI) appears to be the ...
Tomography, X-Ray Computed Female Adult Male Humans Artificial Intelligence Software Organs at Risk Child Radiotherapy Planning, Computer-Assisted Lymph Nodes Magnetic Resonance Imaging
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