Enhancing stereotactic ablative boost radiotherapy dose prediction for bulky lung cancer: A multi‐scale dilated network approach with scale‐balanced structure loss

L Huang, X Gao, Y Li, F Lyu, Y Gao… - Journal of Applied …, 2024 - Wiley Online Library
Purpose Partial stereotactic ablative boost radiotherapy (P‐SABR) effectively treats bulky
lung cancer; however, the planning process for P‐SABR requires repeated dose …

Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy

R Gao, FC Ghesu, S Arberet, S Basiri… - arXiv preprint arXiv …, 2024 - arxiv.org
In contemporary radiotherapy planning (RTP), a key module leaf sequencing is
predominantly addressed by optimization-based approaches. In this paper, we propose a …

Deep learning based linear energy transfer calculation for proton therapy

X Tang, HWC Tseung, D Moseley… - Physics in Medicine …, 2024 - iopscience.iop.org
Objective. This study aims to address the limitations of traditional methods for calculating
linear energy transfer (LET), a critical component in assessing relative biological …

Predicting voxel-level dose distributions of single-isocenter volumetric modulated arc therapy treatment plan for multiple brain metastases

P Huang, J Shang, Z Hu, Z Liu, H Yan - Frontiers in Oncology, 2024 - frontiersin.org
Purpose Brain metastasis is a common, life-threatening neurological problem for patients
with cancer. Single-isocenter volumetric modulated arc therapy (VMAT) has been popularly …

Analyzing the Relationship between Dose and Geometric Agreement Metrics for Auto-Contouring in Head and Neck Normal Tissues

B Marquez, ZT Wooten, RM Salazar, CB Peterson… - …, 2024 - pmc.ncbi.nlm.nih.gov
This study aimed to determine the relationship between geometric and dosimetric
agreement metrics in head and neck (H&N) cancer radiotherapy plans. A total 287 plans …

[HTML][HTML] Uninvolved liver dose prediction in stereotactic body radiation therapy for liver cancer based on the neural network method

HW Zhang, YH Wang, B Hu… - World Journal of …, 2024 - pmc.ncbi.nlm.nih.gov
BACKGROUND The quality of a radiotherapy plan often depends on the knowledge and
expertise of the plan designers. AIM To predict the uninvolved liver dose in stereotactic body …

therapy treatment plan for multiple brain metastases

P Huang, J Shang¹, Z Hu, Z Liu - Radiotherapy for Brain …, 2024 - books.google.com
Purpose: Brain metastasis is a common, life-threatening neurological problem for patients
with cancer. Single-isocenter volumetric modulated arc therapy (VMAT) has been popularly …

[PDF][PDF] Addressing the Gap in Oncologist Training: Generating Clinically Realistic, Suboptimal Dose Distributions through Geometry Aware Convolutions

SS Gay, MP Gronberg, R Mumme, C Chung, M Khan… - iccr2024.org
Radiation oncologists are responsible for determining the clinical acceptability of
radiotherapy treatment plans. Their training typically revolves around routine clinical …

高精度放射線治療ワークフローを一貫して支援するAI 技術

木村祐利 - 医用画像情報学会雑誌, 2023 - jstage.jst.go.jp
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