Potential of a Second-Generation Dual-Layer Spectral CT for Dose Calculation in Particle Therapy Treatment Planning

质子疗法 粒子疗法 阻止力 放射治疗计划 有效原子序数 粒子(生态学) 质子 计算物理学 材料科学 核医学 离子 物理 原子序数 光学 医学 梁(结构) 原子物理学 放射科 核物理学 放射治疗 海洋学 量子力学 地质学
作者
Friderike K. Longarino,Antonia Kowalewski,Thomas Tessonnier,Stewart Mein,Benjamin Ackermann,Jürgen Debus,Andrea Mairani,Wolfram Stiller
出处
期刊:Frontiers in Oncology [Frontiers Media SA]
卷期号:12 被引量:5
标识
DOI:10.3389/fonc.2022.853495
摘要

In particle therapy treatment planning, dose calculation is conducted using patient-specific maps of tissue ion stopping power ratio (SPR) to predict beam ranges. Improving patient-specific SPR prediction is therefore essential for accurate dose calculation. In this study, we investigated the use of the Spectral CT 7500, a second-generation dual-layer spectral computed tomography (DLCT) system, as an alternative to conventional single-energy CT (SECT) for patient-specific SPR prediction. This dual-energy CT (DECT)-based method allows for the direct prediction of SPR from quantitative measurements of relative electron density and effective atomic number using the Bethe equation, whereas the conventional SECT-based method consists of indirect image data-based prediction through the conversion of calibrated CT numbers to SPR. The performance of the Spectral CT 7500 in particle therapy treatment planning was characterized by conducting a thorough analysis of its SPR prediction accuracy for both tissue-equivalent materials and common non-tissue implant materials. In both instances, DLCT was found to reduce uncertainty in SPR predictions compared to SECT. Mean deviations of 0.7% and 1.6% from measured SPR values were found for DLCT- and SECT-based predictions, respectively, in tissue-equivalent materials. Furthermore, end-to-end analyses of DLCT-based treatment planning were performed for proton, helium, and carbon ion therapies with anthropomorphic head and pelvic phantoms. 3D gamma analysis was performed with ionization chamber array measurements as the reference. DLCT-predicted dose distributions revealed higher passing rates compared to SECT-predicted dose distributions. In the DLCT-based treatment plans, measured distal-edge evaluation layers were within 1 mm of their predicted positions, demonstrating the accuracy of DLCT-based particle range prediction. This study demonstrated that the use of the Spectral CT 7500 in particle therapy treatment planning may lead to better agreement between planned and delivered dose compared to current clinical SECT systems.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
有魅力的仙人掌完成签到 ,获得积分10
1秒前
玉鱼儿完成签到 ,获得积分10
2秒前
量子星尘发布了新的文献求助10
6秒前
姚芭蕉完成签到 ,获得积分0
9秒前
愉快的老三完成签到,获得积分10
9秒前
TUTU完成签到 ,获得积分10
12秒前
左右完成签到 ,获得积分10
13秒前
楚寅完成签到 ,获得积分10
20秒前
奇奇怪怪的大鱼完成签到,获得积分10
21秒前
22秒前
量子星尘发布了新的文献求助10
26秒前
出厂价完成签到,获得积分10
26秒前
呆萌的蚂蚁完成签到 ,获得积分10
26秒前
董耀文完成签到,获得积分10
29秒前
氟锑酸完成签到 ,获得积分10
29秒前
lunhui6453完成签到 ,获得积分10
31秒前
Yi完成签到,获得积分10
32秒前
王继完成签到,获得积分10
32秒前
32秒前
卡片完成签到,获得积分10
34秒前
虚幻念寒完成签到 ,获得积分10
34秒前
胡思乱想完成签到,获得积分10
36秒前
37秒前
hahaha6789y完成签到,获得积分10
37秒前
cl完成签到,获得积分10
39秒前
sheep完成签到,获得积分10
40秒前
maybe完成签到,获得积分10
40秒前
秦含光完成签到,获得积分10
40秒前
Mo完成签到,获得积分10
40秒前
hahaha2完成签到,获得积分10
41秒前
spider534完成签到,获得积分10
41秒前
徐彬荣完成签到,获得积分10
41秒前
simon666完成签到,获得积分10
41秒前
BlueKitty完成签到,获得积分10
43秒前
Adamcssy19完成签到,获得积分10
44秒前
量子咸鱼K完成签到,获得积分10
44秒前
霡霂完成签到,获得积分10
44秒前
852应助科研通管家采纳,获得10
44秒前
44秒前
PaperCrane完成签到,获得积分10
44秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.).. Frederic G. Reamer 1070
Introduction to Early Childhood Education 1000
2025-2031年中国兽用抗生素行业发展深度调研与未来趋势报告 1000
List of 1,091 Public Pension Profiles by Region 871
The International Law of the Sea (fourth edition) 800
A Guide to Genetic Counseling, 3rd Edition 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5418566
求助须知:如何正确求助?哪些是违规求助? 4534257
关于积分的说明 14143326
捐赠科研通 4450472
什么是DOI,文献DOI怎么找? 2441268
邀请新用户注册赠送积分活动 1432974
关于科研通互助平台的介绍 1410417