AIMC Topic: Proton Therapy

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Proton spot dose estimation based on positron activity distributions with neural network.

Medical physics Jul 10, 2024
BACKGROUND: Positron emission tomography (PET) has been investigated for its ability to reconstruct proton-induced positron activity distributions in proton therapy. This technique holds potential for range verification in clinical practice. Recently...
Radiotherapy Dosage Proton Therapy Humans Neural Networks, Computer Positron-Emission Tomography Radiotherapy Planning, Computer-Assisted Radiation Dosage
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Patient-specific deep learning for 3D protoacoustic image reconstruction and dose verification in proton therapy.

Medical physics Jul 9, 2024
BACKGROUND: Protoacoustic (PA) imaging has the potential to provide real-time 3D dose verification of proton therapy. However, PA images are susceptible to severe distortion due to limited angle acquisition. Our previous studies showed the potential ...
Male Deep Learning Imaging, Three-Dimensional Humans Radiation Dosage Image Processing, Computer-Assisted Prostatic Neoplasms Radiotherapy Dosage Acoustics Proton Therapy
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Development of a risk prediction model for radiation dermatitis following proton radiotherapy in head and neck cancer using ensemble machine learning.

Radiation oncology (London, England) Jun 24, 2024
PURPOSE: This study aims to develop an ensemble machine learning-based (EML-based) risk prediction model for radiation dermatitis (RD) in patients with head and neck cancer undergoing proton radiotherapy, with the goal of achieving superior predictiv...
Aged Adult Male Humans Machine Learning Female Radiodermatitis Radiotherapy Dosage Middle Aged Radiotherapy, Intensity-Modulated Risk Assessment Proton Therapy Head and Neck Neoplasms
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Evaluation of an automated clinical decision system with deep learning dose prediction and NTCP model for prostate cancer proton therapy.

Physics in medicine and biology May 30, 2024
To evaluate the feasibility of using a deep learning dose prediction approach to identify patients who could benefit most from proton therapy based on the normal tissue complication probability (NTCP) model.Two 3D UNets were established to predict ph...
Radiation Dosage Radiotherapy Dosage Proton Therapy Uncertainty Radiotherapy Planning, Computer-Assisted Probability Automation Decision Support Systems, Clinical Prostatic Neoplasms Organs at Risk Humans Male Deep Learning
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Deep learning based linear energy transfer calculation for proton therapy.

Physics in medicine and biology May 30, 2024
This study aims to address the limitations of traditional methods for calculating linear energy transfer (LET), a critical component in assessing relative biological effectiveness (RBE). Currently, Monte Carlo (MC) simulation, the gold-standard for a...
Monte Carlo Method Proton Therapy Linear Energy Transfer Deep Learning Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Humans Male
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A machine learning-based approach to predict energy layer for each field in spot-scanning proton arc therapy for lung cancer: A feasibility study.

Medical physics May 21, 2024
BACKGROUND: Determining the optimal energy layer (EL) for each field, under considering both dose constraints and delivery efficiency, is crucial to promoting the development of proton arc therapy (PAT) technology.
Lung Neoplasms Feasibility Studies Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Proton Therapy Humans Machine Learning
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MRI-only based material mass density and relative stopping power estimation via deep learning for proton therapy: a preliminary study.

Scientific reports May 15, 2024
Magnetic Resonance Imaging (MRI) is increasingly being used in treatment planning due to its superior soft tissue contrast, which is useful for tumor and soft tissue delineation compared to computed tomography (CT). However, MRI cannot directly provi...
Radiotherapy Dosage Deep Learning Phantoms, Imaging Humans Magnetic Resonance Imaging Proton Therapy Tomography, X-Ray Computed Radiotherapy Planning, Computer-Assisted Animals Swine
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An artificial neural network based approach for predicting the proton beam spot dosimetric characteristics of a pencil beam scanning technique.

Biomedical physics & engineering express Apr 22, 2024
Utilising Machine Learning (ML) models to predict dosimetric parameters in pencil beam scanning proton therapy presents a promising and practical approach. The study developed Artificial Neural Network (ANN) models to predict proton beam spot size an...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Proton Therapy Machine Learning Radiometry Humans Algorithms Protons Neural Networks, Computer Reproducibility of Results
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Hybrid-supervised deep learning for domain transfer 3D protoacoustic image reconstruction.

Physics in medicine and biology Apr 3, 2024
. Protoacoustic imaging showed great promise in providing real-time 3D dose verification of proton therapy. However, the limited acquisition angle in protoacoustic imaging induces severe artifacts, which impairs its accuracy for dose verification. In...
Male Deep Learning Imaging, Three-Dimensional Humans Protons Image Processing, Computer-Assisted Prostate Proton Therapy
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A deep learning approach to remove contrast from contrast-enhanced CT for proton dose calculation.

Journal of applied clinical medical physics Jan 25, 2024
PURPOSE: Non-Contrast Enhanced CT (NCECT) is normally required for proton dose calculation while Contrast Enhanced CT (CECT) is often scanned for tumor and organ delineation. Possible tissue motion between these two CTs raises dosimetry uncertainties...
Radiotherapy Planning, Computer-Assisted Proton Therapy Radiometry Protons Deep Learning Humans Imaging, Three-Dimensional Tomography, X-Ray Computed Image Processing, Computer-Assisted
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