[HTML][HTML] A review of dose prediction methods for tumor radiation therapy
X Kui, F Liu, M Yang, H Wang, C Liu, D Huang, Q Li… - Meta-Radiology, 2024 - Elsevier
Radiation therapy (RT) is currently the main clinical treatment of tumors. Before treatment
initiation, precise delineation of the planned target volume (PTV) and organs at risk (OAR) is …
initiation, precise delineation of the planned target volume (PTV) and organs at risk (OAR) is …
Beam-wise dose composition learning for head and neck cancer dose prediction in radiotherapy
Automatic and accurate dose distribution prediction plays an important role in radiotherapy
plan. Although previous methods can provide promising performance, most methods did not …
plan. Although previous methods can provide promising performance, most methods did not …
[HTML][HTML] Deep learning–based dose prediction for automated, individualized quality assurance of head and neck radiation therapy plans
MP Gronberg, BM Beadle, AS Garden… - Practical radiation …, 2023 - Elsevier
Purpose This study aimed to use deep learning–based dose prediction to assess head and
neck (HN) plan quality and identify suboptimal plans. Methods and Materials A total of 245 …
neck (HN) plan quality and identify suboptimal plans. Methods and Materials A total of 245 …
Clinical benefit of range uncertainty reduction in proton treatment planning based on dual-energy CT for neuro-oncological patients
Objective: Several studies have shown that dual-energy CT (DECT) can lead to improved
accuracy for proton range estimation. This study investigated the clinical benefit of reduced …
accuracy for proton range estimation. This study investigated the clinical benefit of reduced …
Deep evidential learning for radiotherapy dose prediction
Background: As we navigate towards integrating deep learning methods in the real clinic, a
safety concern lies in whether and how the model can express its own uncertainty when …
safety concern lies in whether and how the model can express its own uncertainty when …
A comparative study of deep learning‐based knowledge‐based planning methods for 3D dose distribution prediction of head and neck
Purpose In this paper, we compare four novel knowledge‐based planning (KBP) algorithms
using deep learning to predict three‐dimensional (3D) dose distributions of head and neck …
using deep learning to predict three‐dimensional (3D) dose distributions of head and neck …
Flexible-cm gan: Towards precise 3d dose prediction in radiotherapy
Deep learning has been utilized in knowledge-based radiotherapy planning in which a
system trained with a set of clinically approved plans is employed to infer a three …
system trained with a set of clinically approved plans is employed to infer a three …
A novel mathematical model to generate semi‐automated optimal IMRT treatment plan based on predicted 3D dose distribution and prescribed dose
Background In recent years, with the development of artificial intelligence and deep learning
techniques, it has become possible to predict the three‐dimensional distribution dose (3D3) …
techniques, it has become possible to predict the three‐dimensional distribution dose (3D3) …
Novel Method for More Efficient Optimizing the Knowledge-Based Planning: Specific Voxels of each Structure Influenced by Dominant Beamlets (SVSIDB)
There is a huge problem and time-consuming computation to optimize the IMRT treatment
plan. Extracting the optimized plan from the predicted 3D3 so-called optimizing the KBP is …
plan. Extracting the optimized plan from the predicted 3D3 so-called optimizing the KBP is …
Comparison of Ethos template-based planning and AI-based dose prediction: General performance, patient optimality, and limitations
B Roberfroid, AM Barragán-Montero, D Dechambre… - Physica Medica, 2023 - Elsevier
Purpose Ethos proposes a template-based automatic dose planning (Etb) for online
adaptive radiotherapy. This study evaluates the general performance of Etb for prostate …
adaptive radiotherapy. This study evaluates the general performance of Etb for prostate …