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患者来源的乳腺模型库,用于热疗治疗计划和施源器设计的工具。

Patient-derived breast model repository, a tool for hyperthermia treatment planning and applicator design.

机构信息

Department of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.

Department of Surgical Oncology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.

出版信息

Int J Hyperthermia. 2022;39(1):1213-1221. doi: 10.1080/02656736.2022.2121862.

Abstract

OBJECTIVE

The addition of hyperthermia in the treatment of intact breast cancer with the aim to improve local response is currently in a research phase. First, optimal hyperthermia devices need to be developed, for which a diverse, anatomically and pathologically accurate set of patient models is necessary.

METHODS

To investigate the effects of inter-subject variations on hyperthermia treatment plans, we generated a repository of 22 anatomically and pathologically diverse patient models based on MR images of breast cancer patients. Hyperthermia treatment plans were generated for the 22 models using a generic theoretical phased array hyperthermia applicator.

RESULTS

Good temperature coverage was achieved in the vast majority of the models, with median values for = 43.5°C (41.9-43.8°C), = 42.5°C (41.3-43.3°C), and = 41.3°C (39.8-42.6°C) under the condition that the maximum temperature increase in the patient is limited to 44°C.

CONCLUSIONS

For future development of hyperthermia devices and treatment methods, a repository with a sufficiently large number of representative patient models, such as the one provided in this study, should be used to ensure applicability to a wide variety of patients. This repository is therefore made publicly available.

摘要

目的

目前,在完整乳房癌治疗中加入热疗以提高局部反应正处于研究阶段。首先,需要开发最佳的热疗设备,为此需要建立一个多样化的、具有解剖学和病理学准确性的患者模型集。

方法

为了研究个体间差异对热疗治疗计划的影响,我们基于乳腺癌患者的磁共振图像生成了 22 个具有解剖学和病理学差异的患者模型库。使用通用的理论相控阵热疗应用器为 22 个模型生成了热疗治疗计划。

结果

在绝大多数模型中都实现了良好的温度覆盖,在限制患者最大温度升高至 44°C 的条件下, = 43.5°C(41.9-43.8°C)、 = 42.5°C(41.3-43.3°C)和 = 41.3°C(39.8-42.6°C)的中位数值。

结论

对于热疗设备和治疗方法的未来发展,应该使用具有足够数量代表性患者模型的库,如本研究中提供的模型库,以确保适用于各种不同的患者。因此,该模型库被公开提供。

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