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  • [Br J Radiol.] Role and future of MRI in radiation oncology.

    NYU Langone Medical Center / Indra J Das*

  • 출처
    Br J Radiol.
  • 등재일
    2018 Nov
  • 저널이슈번호
    1:20180505. doi: 10.1259/bjr.20180505. [E;
  • 내용

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    Abstract
    Technical innovations and developments in areas such as disease localization, dose calculation algorithms, motion management and dose delivery technologies have revolutionized radiation therapy resulting in improved patient care with superior outcomes. A consequence of the ability to design and accurately deliver complex radiation fields is the need for improved target visualization through imaging. While CT imaging has been the standard of care for more than three decades, the superior soft tissue contrast afforded by MR has resulted in the adoption of this technology in radiation therapy. With the development of real time MR imaging techniques, the problem of real time motion management is enticing. Currently, the integration of an MR imaging and megavoltage radiation therapy treatment delivery system (MR-linac or MRL) is a reality that has the potential to provide improved target localization and real time motion management during treatment. Higher magnetic field strengths provide improved image quality potentially providing the backbone for future work related to image texture analysis - a field known as Radiomics - thereby providing meaningful information on the selection of future patients for radiation dose escalation, motion-managed treatment techniques and ultimately better patient care. On-going advances in MRL technologies promise improved real time soft tissue visualization, treatment margin reductions, beam optimization, inhomogeneity corrected dose calculation, fast multileaf collimators and volumetric arc radiation therapy. This review article provides rationale, advantages and disadvantages as well as ideas for future research in MRI related to radiation therapy mainly in adoption of MRL.

     


    Author information

    Das IJ1, McGee KP2, Tyagi N3, Wang H1.
    1
    1 Department of Radiation Oncology, NYU Langone Medical Center , New York , USA.
    2
    2 Department of Radiology, Mayo Clinic , Rochester, MN , US.
    3
    3 Department of Medical Physics, Memorial Sloan-Kettering Cancer Center , New York , USA.

  • 편집위원

    논 연구논문은 최근 큰 괌심을 일으키고 있는 MRI기반 Linac관 간련하여 언급하고 있습니다. 최근 딥런닝과 AI를 이용한 방사선치료계획의 장동화와 시간단축의 시너지 효과로서 이제는 MR-Linac에서 실시간으로 환자 컨투어와 치료계획을 마무리하여 Daily Adaptive Planning 치료(30분안에 세팅-컨투어-치료계획-치료의 모든 과정 종료)가 소개 되고 있는 상황에서 매우 흥미를 주는 논문이라고 생각 합니다.

    2018-11-14 16:49:28

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