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Radiotherapy Planning, Computer-Assisted

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An assessment of the influence of trade-off optimization in commercial knowledge based planning library creation for tongue cancer patients.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists Dec 6, 2024
This article aims to compare the dosimetric performance between knowledge-based plan (KBP) libraries with and without trade-off (TO) exploration using multicriterial optimization (MCO) for tongue cancer patients. The trade-off optimized library (KBP_...
Humans Tongue Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Knowledge Bases Organs at Risk
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Federated learning for enhanced dose-volume parameter prediction with decentralized data.

Medical physics Dec 6, 2024
BACKGROUND: The widespread adoption of knowledge-based planning in radiation oncology clinics is hindered by the lack of data and the difficulty associated with sharing medical data.
Federated Learning Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Radiation Dosage Humans Radiotherapy Dosage Machine Learning Male
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Deep learning dose prediction to approach Erasmus-iCycle dosimetric plan quality within seconds for instantaneous treatment planning.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Dec 6, 2024
BACKGROUND AND PURPOSE: Fast, high-quality deep learning (DL) prediction of patient-specific 3D dose distributions can enable instantaneous treatment planning (IP), in which the treating physician can evaluate the dose and approve the plan immediatel...
Radiotherapy, Intensity-Modulated Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Humans Male Deep Learning
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Estimation of heart dose in left breast cancer radiotherapy: Assessment of vDIBH feasibility using the supervised machine learning algorithm.

Journal of applied clinical medical physics Dec 6, 2024
BACKGROUND AND OBJECTIVE: The volunteer deep inspiration breath hold (vDIBH) technique is used to reduce the heart dose in left breast cancer radiotherapy. Many times, it is faced that despite rigorous exercise and training, not all patients get bene...
Radiotherapy, Intensity-Modulated Breath Holding Unilateral Breast Neoplasms Humans Organs at Risk Radiotherapy Planning, Computer-Assisted Algorithms Radiotherapy Dosage Heart Breast Neoplasms Female Feasibility Studies Adult Middle Aged Supervised Machine Learning
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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...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Retrospective Studies Head and Neck Neoplasms Organs at Risk Algorithms Precision Medicine Humans Artificial Intelligence
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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...
Humans Deep Learning Decision Making Organs at Risk Radiotherapy Planning, Computer-Assisted Retrospective Studies Female Breast Neoplasms Radiotherapy, Conformal Radiotherapy Dosage Radiotherapy, Intensity-Modulated
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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...
Deep Learning Imaging, Three-Dimensional Prostatic Neoplasms Prostate Retrospective Studies Tomography, X-Ray Computed Male Observer Variation Radiotherapy Dosage Feasibility Studies Radiotherapy, Intensity-Modulated Organs at Risk Humans Radiometry 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.
Knowledge Bases Humans Radiotherapy, Intensity-Modulated Organs at Risk Algorithms Quality Assurance, Health Care Radiotherapy Planning, Computer-Assisted Head and Neck Neoplasms Radiotherapy Dosage
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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 ...
Algorithms Retrospective Studies Tomography, X-Ray Computed Image Processing, Computer-Assisted Radiotherapy Dosage Organs at Risk Humans Magnetic Resonance Imaging Male Radiotherapy Planning, Computer-Assisted Radiotherapy, Intensity-Modulated Artificial Intelligence Prostatic Neoplasms
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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 ...
Radiotherapy, Intensity-Modulated Cone-Beam Computed Tomography Image Processing, Computer-Assisted Lung Neoplasms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Male Feasibility Studies Humans Middle Aged Organs at Risk Female Deep Learning Aged
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