Comparison between target margins derived from 4DCT scans and real-time tumor motion tracking: insights from lung tumor patients treated with robotic radiosurgery.

Journal: Medical physics
Published Date:

Abstract

PURPOSE: A unique capability of the CyberKnife system is dynamic target tracking. However, not all patients are eligible for this approach. Rather, their tumors are tracked statically using the vertebral column for alignment. When using static tracking, the internal target volume (ITV) is delineated on the four-dimensional (4D) CT scan and an additional margin is added to account for setup uncertainty [planning target volume (PTV)]. Treatment margins are difficult to estimate due to unpredictable variations in tumor motion and respiratory pattern during the course of treatment. The inability to track the target and detect changes in respiratory characteristics might result in geographic misses and local tumor recurrences. The purpose of this study is to develop a method to evaluate the adequacy of ITV-to-PTV margins for patients treated in this manner.

Authors

  • Martina Descovich
    UCSF Department of Radiation Oncology, San Francisco, California 94115.
  • Christopher McGuinness
    UCSF Department of Radiation Oncology, San Francisco, California 94115.
  • Danita Kannarunimit
    UCSF Department of Radiation Oncology, San Francisco, California 94115.
  • Josephine Chen
    Biomedical Informatics Training Program, Stanford University, Stanford, CA.
  • Dilini Pinnaduwage
    UCSF Department of Radiation Oncology, San Francisco, California 94115.
  • Jean Pouliot
    UCSF Department of Radiation Oncology, San Francisco, California 94115.
  • Norbert Kased
    UCSF Department of Radiation Oncology, San Francisco, California 94115.
  • Alexander R Gottschalk
    Department of Radiation Oncology, University of California at San Francisco, San Francisco, California.
  • Sue S Yom
    Department of Radiation Oncology, University of California, San Francisco, California.