A critical review of LET-based intensity-modulated proton therapy plan evaluation and optimization for head and neck cancer management

W Deng, Y Yang, C Liu, M Bues… - … Journal of Particle …, 2021 - meridian.allenpress.com
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 …

Evaluating large language models on a highly-specialized topic, radiation oncology physics

J Holmes, Z Liu, L Zhang, Y Ding, TT Sio… - Frontiers in …, 2023 - frontiersin.org
Purpose We present the first study to investigate Large Language Models (LLMs) in
answering radiation oncology physics questions. Because popular exams like AP Physics …

[HTML][HTML] Clinical necessity of multi-image based (4DMIB) optimization for targets affected by respiratory motion and treated with scanned particle therapy–A …

AC Knopf, K Czerska, F Fracchiolla, C Graeff… - Radiotherapy and …, 2022 - Elsevier
Abstract 4D multi-image-based (4D MIB) optimization is a form of robust optimization where
different uncertainty scenarios, due to anatomy variations, are considered via multiple image …

[HTML][HTML] Empirical relative biological effectiveness (RBE) for mandible osteoradionecrosis (ORN) in head and neck cancer patients treated with pencil-beam-scanning …

Y Yang, OM Muller, SE Schild, M Bues, M Fatyga… - Frontiers in …, 2022 - frontiersin.org
Purpose To retrospectively investigate empirical relative biological effectiveness (RBE) for
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

L Zhang, JM Holmes, Z Liu, SA Vora, TT Sio… - Medical …, 2024 - Wiley Online Library
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 …

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 …

[HTML][HTML] Cardiopulmonary toxicity following intensity-modulated proton therapy (IMPT) versus intensity-modulated radiation therapy (IMRT) for stage III non-small cell …

YY Nathan, TA DeWees, MM Voss, WG Breen… - Clinical lung cancer, 2022 - Elsevier
Introduction Intensity-modulated proton therapy (IMPT) has the potential to reduce radiation
dose to normal organs when compared to intensity-modulated radiation therapy (IMRT). We …

Challenges in Monte Carlo simulations as clinical and research tool in particle therapy: a review

S Muraro, G Battistoni, AC Kraan - Frontiers in Physics, 2020 - frontiersin.org
The use and interest in Monte Carlo (MC) techniques in the field of medical physics have
been rapidly increasing in the past years. This is the case especially in particle therapy …

Per‐voxel constraints to minimize hot spots in linear energy transfer‐guided robust optimization for base of skull head and neck cancer patients in IMPT

H Feng, J Shan, JD Anderson, WW Wong… - Medical …, 2022 - Wiley Online Library
Purpose Due to the employment of quadratic programming using soft constraints to
implement dose volume constraints and the “trial‐and‐error” procedure needed to achieve a …

Development and benchmarking of a Monte Carlo dose engine for proton radiation therapy

P Lysakovski, A Ferrari, T Tessonnier, J Besuglow… - Frontiers in …, 2021 - frontiersin.org
Dose calculation algorithms based on Monte Carlo (MC) simulations play a crucial role in
radiotherapy. Here, the development and benchmarking of a novel MC dose engine …