AIMC Topic: Radiotherapy Dosage

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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...
Patient Positioning Robotics Phantoms, Imaging Radiotherapy Planning, Computer-Assisted Humans Boron Neutron Capture Therapy Radiometry Radiotherapy Dosage Algorithms Neoplasms
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Machine learning in image-based outcome prediction after radiotherapy: A review.

Journal of applied clinical medical physics Nov 18, 2024
The integration of machine learning (ML) with radiotherapy has emerged as a pivotal innovation in outcome prediction, bringing novel insights amid unique challenges. This review comprehensively examines the current scope of ML applications in various...
Image Processing, Computer-Assisted Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Machine Learning Neoplasms Humans
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Attention 3D UNET for dose distribution prediction of high-dose-rate brachytherapy of cervical cancer: Intracavitary applicators.

Journal of applied clinical medical physics Nov 15, 2024
BACKGROUND: Formulating a clinically acceptable plan within the time-constrained clinical setting of brachytherapy poses challenges to clinicians. Deep learning based dose prediction methods have shown favorable solutions for enhancing efficiency, bu...
Humans Algorithms Retrospective Studies Radiotherapy, Intensity-Modulated Female Organs at Risk Radiotherapy Planning, Computer-Assisted Brachytherapy Radiotherapy Dosage Uterine Cervical Neoplasms Deep Learning Imaging, Three-Dimensional
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Deep learning based ultra-low dose fan-beam computed tomography image enhancement algorithm: Feasibility study in image quality for radiotherapy.

Journal of applied clinical medical physics Nov 14, 2024
OBJECTIVE: We investigated the feasibility of deep learning-based ultra-low dose kV-fan-beam computed tomography (kV-FBCT) image enhancement algorithm for clinical application in abdominal and pelvic tumor radiotherapy.
Male Deep Learning Image Processing, Computer-Assisted Organs at Risk Radiotherapy Planning, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Prospective Studies Tomography, X-Ray Computed Female Radiotherapy, Image-Guided Humans Algorithms Radiographic Image Enhancement Radiation Dosage Radiotherapy Dosage Phantoms, Imaging Signal-To-Noise Ratio Radiotherapy, Intensity-Modulated Abdominal Neoplasms Pelvic Neoplasms
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Deep learning prediction of scenario doses for direct plan robustness evaluations in IMPT for head-and-neck.

Physics in medicine and biology Nov 12, 2024
. Intensity modulated proton therapy (IMPT) is susceptible to uncertainties in patient setup and proton range. Robust optimization is employed in IMPT treatment planning to ensure sufficient coverage of the clinical target volume (CTV) in predefined ...
Proton Therapy Radiation Dosage Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Head and Neck Neoplasms Radiotherapy Planning, Computer-Assisted Tomography, X-Ray Computed Deep Learning
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Clinical commissioning and introduction of an in-house artificial intelligence (AI) platform for automated head and neck intensity modulated radiation therapy (IMRT) treatment planning.

Journal of applied clinical medical physics Nov 6, 2024
BACKGROUND AND PURPOSE: To describe the clinical commissioning of an in-house artificial intelligence (AI) treatment planning platform for head-and-neck (HN) Intensity Modulated Radiation Therapy (IMRT).
Algorithms User-Computer Interface Head and Neck Neoplasms Radiotherapy Dosage Radiotherapy, Intensity-Modulated Organs at Risk Radiotherapy Planning, Computer-Assisted Humans Artificial Intelligence
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Assessment of pencil beam scanning proton therapy beam delivery accuracy through machine learning and log file analysis.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Nov 1, 2024
PURPOSE: Comprehensive Quality Assurance (QA) protocols are necessary for complex beam delivery systems like Pencil Beam Scanning (PBS) proton therapy. This study focuses on automating the evaluation of beam delivery accuracy using irradiation log fi...
Radiotherapy Planning, Computer-Assisted Quality Assurance, Health Care Radiotherapy Dosage Proton Therapy Humans Machine Learning Quality Control
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Transformer-Integrated Hybrid Convolutional Neural Network for Dose Prediction in Nasopharyngeal Carcinoma Radiotherapy.

Journal of imaging informatics in medicine Oct 18, 2024
Radiotherapy is recognized as the major treatment of nasopharyngeal carcinoma. Rapid and accurate dose prediction can improve the efficiency of the treatment planning process and the quality of radiotherapy plans. Currently, deep learning-based metho...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Nasopharyngeal Carcinoma Nasopharyngeal Neoplasms Humans Deep Learning Convolutional Neural Networks
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Clinical target volume (CTV) automatic delineation using deep learning network for cervical cancer radiotherapy: A study with external validation.

Journal of applied clinical medical physics Oct 14, 2024
PURPOSE: To explore the accuracy and feasibility of a proposed deep learning (DL) algorithm for clinical target volume (CTV) delineation in cervical cancer radiotherapy and evaluate whether it can perform well in external cervical cancer and endometr...
Prognosis Female Aged Adult Humans Neural Networks, Computer Algorithms Radiotherapy, Intensity-Modulated Image Processing, Computer-Assisted Endometrial Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Uterine Cervical Neoplasms Middle Aged Deep Learning
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Deep Learning-Based Synthetic Computed Tomography for Low-Field Brain Magnetic Resonance-Guided Radiation Therapy.

International journal of radiation oncology, biology, physics Oct 1, 2024
PURPOSE: Magnetic resonance (MR)-guided radiation therapy enables online adaptation to address intra- and interfractional changes. To address the need of high-fidelity synthetic computed tomography (synCT) required for dose calculation, we developed ...
Radiotherapy Planning, Computer-Assisted Signal-To-Noise Ratio Radiotherapy Dosage Radiotherapy, Image-Guided Deep Learning Glioma Magnetic Resonance Imaging Humans Tomography, X-Ray Computed Brain Neoplasms Prospective Studies Brain
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