相关实验视频

Updated: Jun 6, 2025

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Published on: April 11, 2018

评估基于人口的个性化规划策略,用于头适应性放射治疗

Justin Visak^1,2, Chien-Yi Liao^1,2, Xinran Zhong¹

¹Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Journal of applied clinical medical physics

|December 3, 2024

概括

新的自适应性放射治疗计划系统改善了头癌治疗. 与传统方法相比,人工智能和基于知识的规划提供了优越的风险器官节省.

科学领域:

辐射瘤学辐射瘤学
医学物理医学物理

背景情况:

头癌 (HNC) 治疗规划是复杂的,严重依赖于规划师的专业知识.
准确的规划目标对于剂量测量约束和强大的在线自适应性放射治疗 (ART) 至关重要.

研究的目的:

评估一个新的基于X射线的ART治疗计划系统 (TPS) 版本2.0模拟器.
将包括人工智能 (AI) 和基于知识的规划 (KBP) 在内的规划策略与HNC的传统方法进行比较.

主要方法:

通过使用Ethos2.0 TPS模拟器重新规划20名HNC患者的回顾性分析.
策略包括基于人口的,KBP指导的 (有/没有人类干预) 和AI指导的规划目标.
计划在剂量和可交付性方面进行了比较.

主要成果:

所有策略都产生了可接受的计划质量;KBP和AI指导的目标改善了处于危险的器官 (OAR) 的节约.
人工智能指导的目标显示了最多的OAR节省,对对侧侧腺的平均剂量明显较低.
与基于人口和人工智能策略相比,KBP表现出更快的优化时间和更高的调制.

结论:

新的Ethos2.0 TPS使用人工智能或KBP生成的目标,生成符合剂量计规划的计划.
人工智能引导的目标在HNC治疗计划中提供了优越的OAR节省.
这些AI和KBP方法可以适应其他治疗场所,简化在线ART的实施.

关键词:

适应性放射疗法适应性放射疗法头部和部头部和部机器学习就是机器学习.

更多相关视频

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

相关概念视频

Combination Therapies and Personalized Medicine

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...

Cancer Survival Analysis

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...