Artificial intelligence in radiation therapy

Y Fu, H Zhang, ED Morris… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Artificial intelligence (AI) has great potential to transform the clinical workflow of
radiotherapy. Since the introduction of deep neural networks (DNNs), many AI-based …

Dose prediction for cervical cancer VMAT patients with a full-scale 3D-cGAN-based model and the comparison of different input data on the prediction results

G Zhang, Z Jiang, J Zhu, L Wang - Radiation Oncology, 2022 - Springer
Cervical cancer is the second most common female malignant tumor in the world [1], for
which radiotherapy is currently one of the main treatment methods. Related surveys show …

Knowledge-based planning for robustly optimized intensity-modulated proton therapy of head and neck cancer patients

Y Xu, J Cyriac, M De Ornelas, E Bossart… - Frontiers in …, 2021 - frontiersin.org
Purpose To assess the performance of a proton-specific knowledge-based planning (KBP)
model in the creation of robustly optimized intensity-modulated proton therapy (IMPT) plans …

Assessment of knowledge-based planning for prostate intensity modulated proton therapy

Y Xu, N Brovold, J Cyriac, E Bossart… - … journal of particle …, 2021 - meridian.allenpress.com
Purpose To assess the performance of a proton-specific knowledge based planning (KBPP)
model in creation of robustly optimized intensity-modulated proton therapy (IMPT) plans for …

Clinical iterative model development improves knowledge-based plan quality for high-risk prostate cancer with four integrated dose levels

JA Hundvin, K Fjellanger, HES Pettersen… - Acta …, 2021 - Taylor & Francis
Background Manual volumetric modulated arc therapy (VMAT) treatment planning for high-
risk prostate cancer receiving whole pelvic radiotherapy (WPRT) with four integrated dose …

[HTML][HTML] On the necessity of specialized knowledge-based models for SBRT prostate treatments plans

A Scaggion, S Cavinato, F Dusi, B El Khouzai, F Guida… - Physica Medica, 2024 - Elsevier
Purpose Test whether a well-grounded KBP model trained on moderately hypo-fractionated
prostate treatments can be used to satisfactorily drive the optimization of SBRT prostate …

Effects of model size and composition on quality of head‐and‐neck knowledge‐based plans

R Kaderka, N Dogan, W Jin… - Journal of applied clinical …, 2024 - Wiley Online Library
Purpose Knowledge‐based planning (KBP) aims to automate and standardize treatment
planning. New KBP users are faced with many questions: How much does model size …

Evaluation of template based planning using multi-criteria optimization treatment planning for right-sided breast cancer: Preliminary study

IP Putri, AD Handika, AW Handoko, S Hunou… - AIP Conference …, 2024 - pubs.aip.org
This study aimed to evaluate the quality and efficacy of the template-based plan (TBP)
compared with the manual plan for right-sided breast cancer using intensity modulated …

RapidPlan models for prostate radiotherapy treatment planning with 10-MV photon beams

F Pupillo, MA Piliero, M Casiraghi, L Bellesi… - … of Radiotherapy in …, 2023 - cambridge.org
Introduction: The RapidPlan is a radiotherapy planning tool that uses a dataset of approved
plans to predict the dose distribution and automatically generates the dose–volume …

[PDF][PDF] Image Guided Adaptive Therapy Strategies for Robustly Optimized Intensity Modulated Proton Therapy

Y Xu - 2023 - scholarship.miami.edu
Intensity modulated proton therapy (IMPT) allows for better normal tissue sparing as
compared to photon-based therapy. At the cost of high dose conformity, IMPT is very …