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[肺癌的图像引导放射治疗]

[Image-guided radiotherapy in lung cancer].

作者信息

Aboudaram A, Khalifa J, Massabeau C, Simon L, Hadj Henni A, Thureau S

机构信息

Département de radiothérapie, institut universitaire du cancer de Toulouse-oncopôle, 1, avenue Irène-Joliot Curie, 31037 Toulouse, France.

Département de radiothérapie, institut universitaire du cancer de Toulouse-oncopôle, 1, avenue Irène-Joliot Curie, 31037 Toulouse, France.

出版信息

Cancer Radiother. 2018 Oct;22(6-7):602-607. doi: 10.1016/j.canrad.2018.06.009. Epub 2018 Aug 10.

DOI:10.1016/j.canrad.2018.06.009
PMID:30104150
Abstract

Image-guided radiotherapy takes place at every step of the treatment in lung cancer, from treatment planning, with fusion imaging, to daily in-room repositioning. Managing tumoral and surrounding thoracic structures motion has been allowed since the routine use of 4D computed tomography (4DCT). The integration of respiratory motion has been made with "passive" techniques based on reconstruction images from 4DCT planning, or "active" techniques adapted to the patient's breathing. Daily repositioning is based on regular images, weekly or daily, low (kV) or high (MV) energy. MRI and functional imaging also play an important part in lung cancer radiation and open the way for adaptative radiotherapy.

摘要

图像引导放疗贯穿肺癌治疗的每一个步骤,从使用融合成像进行治疗计划,到每天在治疗室内重新定位。自从常规使用四维计算机断层扫描(4DCT)以来,已经能够处理肿瘤及周围胸部结构的运动。呼吸运动的整合采用基于4DCT计划重建图像的“被动”技术,或适应患者呼吸的“主动”技术。每天的重新定位基于定期的图像,每周或每天一次,低(kV)或高(MV)能量。磁共振成像(MRI)和功能成像在肺癌放疗中也发挥着重要作用,并为自适应放疗开辟了道路。

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引用本文的文献

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Auxiliary Diagnosis of Lung Cancer with Magnetic Resonance Imaging Data under Deep Learning.基于深度学习的磁共振成像数据辅助肺癌诊断。
Comput Math Methods Med. 2022 May 4;2022:1994082. doi: 10.1155/2022/1994082. eCollection 2022.
2
Comparative evaluation of image registration methods with different interest regions in lung cancer radiotherapy.比较不同感兴趣区在肺癌放疗中图像配准方法的评估。
BMC Med Imaging. 2019 Dec 26;19(1):100. doi: 10.1186/s12880-019-0402-9.