Knowledge‐based planning for intensity‐modulated radiation therapy: a review of data‐driven approaches

Y Ge, QJ Wu - Medical physics, 2019 - Wiley Online Library
Purpose Intensity‐Modulated Radiation Therapy (IMRT), including its variations (including
IMRT, Volumetric Arc Therapy (VMAT), and Tomotherapy), is a widely used and critically …

Knowledge‐based radiation treatment planning: a data‐driven method survey

S Momin, Y Fu, Y Lei, J Roper… - Journal of applied …, 2021 - Wiley Online Library
This paper surveys the data‐driven dose prediction methods investigated for knowledge‐
based planning (KBP) in the last decade. These methods were classified into two major …

A feasibility study for predicting optimal radiation therapy dose distributions of prostate cancer patients from patient anatomy using deep learning

D Nguyen, T Long, X Jia, W Lu, X Gu, Z Iqbal… - Scientific reports, 2019 - nature.com
With the advancement of treatment modalities in radiation therapy for cancer patients,
outcomes have improved, but at the cost of increased treatment plan complexity and …

3D radiotherapy dose prediction on head and neck cancer patients with a hierarchically densely connected U-net deep learning architecture

D Nguyen, X Jia, D Sher, MH Lin, Z Iqbal… - Physics in medicine …, 2019 - iopscience.iop.org
The treatment planning process for patients with head and neck (H&N) cancer is regarded
as one of the most complicated due to large target volume, multiple prescription dose levels …

A feasibility study on an automated method to generate patient‐specific dose distributions for radiotherapy using deep learning

X Chen, K Men, Y Li, J Yi, J Dai - Medical physics, 2019 - Wiley Online Library
Purpose To develop a method for predicting optimal dose distributions, given the planning
image and segmented anatomy, by applying deep learning techniques to a database of …

Evaluation of a knowledge-based planning solution for head and neck cancer

JP Tol, AR Delaney, M Dahele, BJ Slotman… - International Journal of …, 2015 - Elsevier
Purpose Automated and knowledge-based planning techniques aim to reduce variations in
plan quality. RapidPlan uses a library consisting of different patient plans to make a model …

On the pre-clinical validation of a commercial model-based optimisation engine: application to volumetric modulated arc therapy for patients with lung or prostate …

A Fogliata, F Belosi, A Clivio, P Navarria… - Radiotherapy and …, 2014 - Elsevier
Purpose To evaluate the performance of a model-based optimisation process for volumetric
modulated arc therapy applied to advanced lung cancer and to low risk prostate carcinoma …

A transformer-embedded multi-task model for dose distribution prediction

L Wen, J Xiao, S Tan, X Wu, J Zhou… - International Journal of …, 2023 - World Scientific
Radiation therapy is a fundamental cancer treatment in the clinic. However, to satisfy the
clinical requirements, radiologists have to iteratively adjust the radiotherapy plan based on …

Automatic planning of head and neck treatment plans

I Hazell, K Bzdusek, P Kumar… - Journal of applied …, 2016 - Wiley Online Library
Treatment planning is time‐consuming and the outcome depends on the person performing
the optimization. A system that automates treatment planning could potentially reduce the …

A cascade 3D U‐Net for dose prediction in radiotherapy

S Liu, J Zhang, T Li, H Yan, J Liu - Medical physics, 2021 - Wiley Online Library
Purpose Although large datasets are available, to learn a robust dose prediction model from
a limited dataset still remains challenging. This work employed cascaded deep learning …