Artificial general intelligence for radiation oncology
The emergence of artificial general intelligence (AGI) is transforming radiation oncology. As
prominent vanguards of AGI, large language models (LLMs) such as GPT-4 and PaLM 2 can …
prominent vanguards of AGI, large language models (LLMs) such as GPT-4 and PaLM 2 can …
A critical review of LET-based intensity-modulated proton therapy plan evaluation and optimization for head and neck cancer management
In this review article, we review the 3 important aspects of linear-energy-transfer (LET) in
intensity-modulated proton therapy (IMPT) for head and neck (H&N) cancer management …
intensity-modulated proton therapy (IMPT) for head and neck (H&N) cancer management …
Deep‐learning based fast and accurate 3D CT deformable image registration in lung cancer
Abstract Background Deformable Image Registration (DIR) is an essential technique
required in many applications of radiation oncology. However, conventional DIR …
required in many applications of radiation oncology. However, conventional DIR …
Needs, trends, and advances in scintillators for radiographic imaging and tomography
Z Wang, C Dujardin, MS Freeman… - … on Nuclear Science, 2023 - ieeexplore.ieee.org
Radiographic imaging and tomography (RadIT), which started with Röntgen's seminal X-ray
work in 1895, now includes an increasing number of IT modalities. In addition to the original …
work in 1895, now includes an increasing number of IT modalities. In addition to the original …
A systematic review of let-guided treatment plan optimisation in proton therapy: identifying the current state and future needs
Simple Summary The increasing global demand and accessibility for proton beam therapy
has been fueled by its recognised clinical benefits over traditional radiotherapy, primarily its …
has been fueled by its recognised clinical benefits over traditional radiotherapy, primarily its …
[HTML][HTML] Empirical relative biological effectiveness (RBE) for mandible osteoradionecrosis (ORN) in head and neck cancer patients treated with pencil-beam-scanning …
Purpose To retrospectively investigate empirical relative biological effectiveness (RBE) for
mandible osteoradionecrosis (ORN) in head and neck (H&N) cancer patients treated with …
mandible osteoradionecrosis (ORN) in head and neck (H&N) cancer patients treated with …
Beam mask and sliding window‐facilitated deep learning‐based accurate and efficient dose prediction for pencil beam scanning proton therapy
Background Accurate and efficient dose calculation is essential for on‐line adaptive
planning in proton therapy. Deep learning (DL) has shown promising dose prediction results …
planning in proton therapy. Deep learning (DL) has shown promising dose prediction results …
GPU‐accelerated Monte Carlo‐based online adaptive proton therapy: a feasibility study
H Feng, SH Patel, WW Wong, JE Younkin… - Medical …, 2022 - Wiley Online Library
Purpose To develop an online graphic processing unit (GPU)‐accelerated Monte Carlo‐
based adaptive radiation therapy (ART) workflow for pencil beam scanning (PBS) proton …
based adaptive radiation therapy (ART) workflow for pencil beam scanning (PBS) proton …
NRG oncology white paper on the relative biological effectiveness in proton therapy
H Paganetti, CB Simone II, WR Bosch… - International Journal of …, 2024 - Elsevier
This position paper, led by the NRG Oncology Particle Therapy Work Group, focuses on the
concept of relative biologic effect (RBE) in clinical proton therapy, with the goal of providing …
concept of relative biologic effect (RBE) in clinical proton therapy, with the goal of providing …
Intensity‐modulated proton therapy (IMPT) interplay effect evaluation of asymmetric breathing with simultaneous uncertainty considerations in patients with non‐small …
Purpose Intensity‐modulated proton therapy (IMPT) is sensitive to uncertainties from patient
setup and proton beam range, as well as interplay effect. In addition, respiratory motion may …
setup and proton beam range, as well as interplay effect. In addition, respiratory motion may …