Progress in Medical Physics (한국의학물리학회지:의학물리)

Korean Society of Medical Physics (한국의학물리학회)
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Image Guided Radiation Therapy

  • Ui-Jung Hwang (Department of Radiation Oncology, Chungnam National University Hospital) ;
  • Byong Jun Min (Department of Radiation Oncology, Chungbuk National University Hospital) ;
  • Meyoung Kim (Department of Radiation Oncology, Chuncheon Sacred Heart Hospital) ;
  • Ki-Hwan Kim (Department of Radiation Oncology, Chungnam National University Hospital)
  • Received : 2022.09.30
  • Accepted : 2022.12.14
  • Published : 2022.12.31
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Abstract

Over the past decades, radiation therapy combined with imaging modalities that ensure optimal image guidance has revolutionized cancer treatment. The two major purposes of using imaging modalities in radiotherapy are to clearly delineate the target prior to treatment and set up the patient during radiation delivery. Image guidance secures target position prior to and during the treatment. High quality images provide an accurate definition of the treatment target and the possibility to reduce the treatment margin of the target volume, further lowering radiation toxicity and improving the quality of life of cancer patients. In this review, the various types of image guidance modalities used in radiation therapy are distinguished into ionized (kilovoltage and megavoltage image) and nonionized imaging (magnetic resonance image, ultrasound, surface imaging, and radiofrequency). The functional aspects, advantages, and limitation of imaging using these modalities are described as a subsection of each category. This review only focuses on the technological viewpoint of these modalities and any clinical aspects are omitted. Image guidance is essential, and its importance is rapidly increasing in modern radiotherapy. The most important aspect of using image guidance in clinical settings is to monitor the performance of image quality, which must be checked during the periodic quality assurance process.

Keywords

Acknowledgement

This work was supported by the Chungnam National University Hospital Research Fund, 2019-CF-033.

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