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Radiotherapy Planning, Computer-Assisted

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Evaluation of deep learning based dose prediction in head and neck cancer patients using two different types of input contours.

Journal of applied clinical medical physics Sep 16, 2024
PURPOSE: This study evaluates deep learning (DL) based dose prediction methods in head and neck cancer (HNC) patients using two types of input contours.
Head and Neck Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Algorithms Prognosis Deep Learning Humans Software
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Automated confidence estimation in deep learning auto-segmentation for brain organs at risk on MRI for radiotherapy.

Journal of applied clinical medical physics Sep 16, 2024
PURPOSE: We have built a novel AI-driven QA method called AutoConfidence (ACo), to estimate segmentation confidence on a per-voxel basis without gold standard segmentations, enabling robust, efficient review of automated segmentation (AS). We have de...
Magnetic Resonance Imaging Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Deep Learning Image Processing, Computer-Assisted Glioma Algorithms Retrospective Studies Brain Neoplasms Humans
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Clinical implementation of deep learning robust IMPT planning in oropharyngeal cancer patients: A blinded clinical study.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Sep 6, 2024
BACKGROUND AND PURPOSE: This study aimed to evaluate the plan quality of our deep learning-based automated treatment planning method for robustly optimized intensity-modulated proton therapy (IMPT) plans in patients with oropharyngeal carcinoma (OPC)...
Aged Male Middle Aged Prospective Studies Retrospective Studies Female Radiotherapy, Intensity-Modulated Proton Therapy Oropharyngeal Neoplasms Deep Learning Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Humans
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Deep learning-assisted interactive contouring of lung cancer: Impact on contouring time and consistency.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Sep 3, 2024
BACKGROUND AND PURPOSE: To evaluate the impact of a deep learning (DL)-assisted interactive contouring tool on inter-observer variability and the time taken to complete tumour contouring.
Radiotherapy Planning, Computer-Assisted Lung Neoplasms Humans Carcinoma, Non-Small-Cell Lung Tumor Burden Deep Learning Positron Emission Tomography Computed Tomography Observer Variation Time Factors
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Deep learning method for predicting weekly anatomical changes in patients with nasopharyngeal carcinoma during radiotherapy.

Medical physics Sep 3, 2024
BACKGROUND: Patients may undergo anatomical changes during radiotherapy, leading to an underdosing of the target or overdosing of the organs at risk (OARs).
Humans Deep Learning Time Factors Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Nasopharyngeal Carcinoma Nasopharyngeal Neoplasms Cone-Beam Computed Tomography Image Processing, Computer-Assisted Organs at Risk
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The emerging role of Artificial Intelligence in proton therapy: A review.

Critical reviews in oncology/hematology Sep 2, 2024
Artificial intelligence (AI) has made a tremendous impact in the space of healthcare, and proton therapy is not an exception. Proton therapy has witnessed growing popularity in oncology over recent decades, and researchers are increasingly looking to...
Neoplasms Radiotherapy Planning, Computer-Assisted Proton Therapy Humans Artificial Intelligence Machine Learning
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Deep learning for contour quality assurance for RTOG 0933: In-silico evaluation.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Aug 31, 2024
PURPOSE: To validate a CT-based deep learning (DL) hippocampal segmentation model trained on a single-institutional dataset and explore its utility for multi-institutional contour quality assurance (QA).
Radiotherapy Planning, Computer-Assisted Brain Neoplasms Humans Radiotherapy Dosage Deep Learning Hippocampus Computer Simulation Magnetic Resonance Imaging Quality Assurance, Health Care Tomography, X-Ray Computed
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Artificial intelligence for response prediction and personalisation in radiation oncology.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Aug 30, 2024
Artificial intelligence (AI) systems may personalise radiotherapy by assessing complex and multifaceted patient data and predicting tumour and normal tissue responses to radiotherapy. Here we describe three distinct generations of AI systems, namely ...
Radiotherapy Planning, Computer-Assisted Humans Precision Medicine Artificial Intelligence Neoplasms Radiation Oncology
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Artificial intelligence-based motion tracking in cancer radiotherapy: A review.

Journal of applied clinical medical physics Aug 28, 2024
Radiotherapy aims to deliver a prescribed dose to the tumor while sparing neighboring organs at risk (OARs). Increasingly complex treatment techniques such as volumetric modulated arc therapy (VMAT), stereotactic radiosurgery (SRS), stereotactic body...
Movement Humans Artificial Intelligence Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Algorithms Radiotherapy, Intensity-Modulated Neoplasms Organs at Risk
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Non-coplanar CBCT image reconstruction using a generative adversarial network for non-coplanar radiotherapy.

Journal of applied clinical medical physics Aug 26, 2024
PURPOSE: To develop a non-coplanar cone-beam computed tomography (CBCT) image reconstruction method using projections within a limited angle range for non-coplanar radiotherapy.
Image Processing, Computer-Assisted Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiotherapy, Intensity-Modulated Phantoms, Imaging Radiotherapy, Image-Guided Algorithms Humans Brain Neoplasms Neural Networks, Computer Cone-Beam Computed Tomography
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