AIMC Topic: Proton Therapy

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Patient selection for proton therapy using Normal Tissue Complication Probability with deep learning dose prediction for oropharyngeal cancer.

Medical physics May 4, 2023
BACKGROUND: In cancer care, determining the most beneficial treatment technique is a key decision affecting the patient's survival and quality of life. Patient selection for proton therapy (PT) over conventional radiotherapy (XT) currently entails co...
Deep Learning Patient Selection Organs at Risk Artificial Intelligence Quality of Life Humans Radiotherapy, Intensity-Modulated Proton Therapy Oropharyngeal Neoplasms Probability Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted
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A deep learning-based approach for statistical robustness evaluation in proton therapy treatment planning: a feasibility study.

Physics in medicine and biology Apr 26, 2023
. Robustness evaluation is critical in particle radiotherapy due to its susceptibility to uncertainties. However, the customary method for robustness evaluation only considers a few uncertainty scenarios, which are insufficient to provide a consisten...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Proton Therapy Radiotherapy, Intensity-Modulated Humans Male Deep Learning Artificial Intelligence Feasibility Studies
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A feasibility study of enhanced prompt gamma imaging for range verification in proton therapy using deep learning.

Physics in medicine and biology Mar 20, 2023
. Range uncertainty is a major concern affecting the delivery precision in proton therapy. The Compton camera (CC)-based prompt-gamma (PG) imaging is a promising technique to provide 3Drange verification. However, the conventional back-projected PG i...
Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Proton Therapy Gamma Rays Protons Monte Carlo Method Phantoms, Imaging Feasibility Studies
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SWFT-Net: a deep learning framework for efficient fine-tuning spot weights towards adaptive proton therapy.

Physics in medicine and biology Dec 9, 2022
. One critical task for adaptive proton therapy is how to perform spot weight re-tuning and reoptimize plan, both of which are time-consuming and labor intensive. We proposed a deep learning framework (SWFT-Net) to speed up such a task, a starting po...
Radiotherapy, Intensity-Modulated Proton Therapy Humans Algorithms Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Deep Learning
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3Ddose verification in prostate proton therapy with deep learning-based proton-acoustic imaging.

Physics in medicine and biology Oct 27, 2022
Dose delivery uncertainty is a major concern in proton therapy, adversely affecting the treatment precision and outcome. Recently, a promising technique, proton-acoustic (PA) imaging, has been developed to provide real-time3D dose verification. Howev...
Prostate Acoustics Proton Therapy Protons Phantoms, Imaging Humans Male Deep Learning
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Validation of a deep learning-based material estimation model for Monte Carlo dose calculation in proton therapy.

Physics in medicine and biology Oct 19, 2022
. Computed tomography (CT) to material property conversion dominates proton range uncertainty, impacting the quality of proton treatment planning. Physics-based and machine learning-based methods have been investigated to leverage dual-energy CT (DEC...
Radiotherapy Planning, Computer-Assisted Animals Monte Carlo Method Deep Learning Water Swine Phantoms, Imaging Proton Therapy Protons
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A plan verification platform for online adaptive proton therapy using deep learning-based Monte-Carlo denoising.

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) Oct 3, 2022
BACKGROUND PURPOSE: This study focused on developing a fast Monte Carlo (MC) plan verification platform via a deep learning (DL)-based denoising approach. It can maintain the MC dose calculation accuracy while significantly reducing the computation t...
Deep Learning Proton Therapy Monte Carlo Method Radiotherapy Planning, Computer-Assisted Humans Radiotherapy Dosage Algorithms
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Automated clinical decision support system with deep learning dose prediction and NTCP models to evaluate treatment complications in patients with esophageal cancer.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Sep 24, 2022
BACKGROUND AND PURPOSE: This study aims to investigate how accurate our deep learning (DL) dose prediction models for intensity modulated radiotherapy (IMRT) and pencil beam scanning (PBS) treatments, when chained with normal tissue complication prob...
Radiotherapy, Intensity-Modulated Humans Proton Therapy Probability Deep Learning Decision Support Systems, Clinical Esophageal Neoplasms Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted
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Direct mapping from PET coincidence data to proton-dose and positron activity using a deep learning approach.

Physics in medicine and biology Sep 15, 2022
. Obtaining the intrinsic dose distributions in particle therapy is a challenging problem that needs to be addressed by imaging algorithms to take advantage of secondary particle detectors. In this work, we investigate the utility of deep learning me...
Proton Therapy Protons Humans Positron-Emission Tomography Deep Learning Monte Carlo Method Electrons Phantoms, Imaging
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Deep learning-based 4D-synthetic CTs from sparse-view CBCTs for dose calculations in adaptive proton therapy.

Medical physics Aug 27, 2022
BACKGROUND: Time-resolved 4D cone beam-computed tomography (4D-CBCT) allows a daily assessment of patient anatomy and respiratory motion. However, 4D-CBCTs suffer from imaging artifacts that affect the CT number accuracy and prevent accurate proton d...
Heart Humans Proton Therapy Deep Learning Protons
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