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儿科放射治疗应用解剖模型。

Paediatric Anatomical Models in Radiotherapy Applications.

机构信息

Medical School, University College London, London WC1E 6BT, UK.

Department of Medical Oncology, Medway NHS Foundation Trust, Gillingham ME7 5NY, UK; Department of Medical Oncology, Barts Cancer Centre, St Bartholomew's Hospital, Barts Heath NHS Trust, London EC1A 7BE, UK; Department of Medical Oncology, Mount Vernon Cancer Centre, East and North Hertfordshire Trust, London HA6 2RN, UK; Health Systems and Treatment Optimisation Network, European Cancer Organisation, Brussels 1040, Belgium; Oncology Council, Royal Society of Medicine, London W1G 0AE, UK.

出版信息

Clin Oncol (R Coll Radiol). 2024 Sep;36(9):562-575. doi: 10.1016/j.clon.2024.06.051. Epub 2024 Jun 26.

Abstract

Anatomical models have key applications in radiotherapy, notably to help understand the relationship between radiation dose and risk of developing side effects. This review analyses whether age-specific computational phantoms, developed from healthy subjects and paediatric cancer patient data, are adequate to model a paediatric population. The phantoms used in the study were International Commission on Radiological Protection (ICRP), 4D extended cardiac torso (XCAT) and Radiotherapy Paediatric Atlas (RT-PAL), which were also compared to literature data. Organ volume data for 19 organs was collected for all phantoms and literature. ICRP was treated as the reference for comparison, and percentage difference (P.D) for the other phantoms were calculated relative to ICRP. Overall comparisons were made for each age category (1, 5, 10, 15) and each organ. Statistical analysis was performed using Microsoft Excel (version 16.59). The smallest P.D to ICRP was for Literature (-17.4%), closely followed by XCAT (26.6%). The largest was for RT-PAL (88.1%). The rectum had the largest average P.D (1,049.2%) and the large bowel had the smallest (2.0%). The P.D was 122.6% at age 1 but this decreased to 43.5% by age 15. Linear regression analysis showed a correlation between organ volume and age to be the strongest for ICRP (R = 0.943) and weakest for XCAT (R = 0.676). The phantoms are similar enough to ICRP for potential use in modelling paediatric populations. ICRP and XCAT could be used to model a healthy population, whereas RT-PAL could be used for a population undergoing/after radiotherapy.

摘要

解剖模型在放射治疗中有重要的应用,特别是有助于了解辐射剂量与发生副作用风险之间的关系。本研究分析了是否特定于年龄的计算体模(由健康受试者和儿科癌症患者的数据开发)足以模拟儿科人群。研究中使用的体模为国际辐射防护委员会(ICRP)、4D 扩展心脏体模(XCAT)和放射治疗儿科图谱(RT-PAL),并与文献数据进行了比较。为所有体模和文献收集了 19 个器官的器官体积数据。ICRP 被视为比较的参考,其他体模相对于 ICRP 的百分比差异(P.D)。对于每个年龄组(1、5、10、15)和每个器官,都进行了总体比较。使用 Microsoft Excel(版本 16.59)进行了统计分析。与 ICRP 相比,文献的 P.D 最小(-17.4%),其次是 XCAT(26.6%)。最大的是 RT-PAL(88.1%)。直肠的平均 P.D 最大(1,049.2%),而大肠的最小(2.0%)。1 岁时 P.D 为 122.6%,但到 15 岁时降至 43.5%。线性回归分析显示,器官体积与年龄之间的相关性以 ICRP 最强(R = 0.943),以 XCAT 最弱(R = 0.676)。这些体模与 ICRP 足够相似,可用于模拟儿科人群。ICRP 和 XCAT 可用于模拟健康人群,而 RT-PAL 可用于正在接受/接受放射治疗的人群。

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