@inproceedings{2db4ac5f9201473a89f6e7e79e990836,
title = "Comparisons of 6 fps volume-rendered x-ray digital tomosynthesis TumoTrak-guided to 2D-MRI-guided radiotherapy of lung cancer",
abstract = "Retrospective kV x-ray 4DCT treatment planning for lung cancer MV linac treatment is becoming a standard-of-care for this widely used procedure for the largest cancer cause-of-death in the US. It currently provides the best estimate of a fixed-in-time but undulating and closed 3D shell to which a minimum curative-intent radiation dose should be delivered to provide the best estimated patient survival and the least morbidity, usually characterized by quantitative dose-volume-histograms (DVHs). Unfortunately this closed shell volume or internal target volume (ITV) currently has to be increased enough to enclose the full range of respiratory lesion motion (plus set-up etc. uncertainties) which cannot yet be accurately determined in real time during treatment delivery. With accurate motion-tracking, the planning target volume (PTV) or outer {"}shell{"} may be reduced by up to 40%. However there is no single 2D plane that precisely follows the reduced-PTV-volume's 3D respiratory motion, currently best estimated by the retrospective hand contouring by a trained and experienced MD radiation oncology MD using the full 3D-time information of 4DCT. Once available, 3D motion tracking in real time has the potential to substantially decrease DVH doses to surrounding organs-at-risk (OARs), while maintaining or raising the curative-intent dose to the lesion itself. The assertion argued here is that, the 3D volume-rendered imaging of lung cancer lesion-trajectories in real-time from TumoTrak digital x-ray tomosythesis, has the potential to provide more accurate 3D motion tracking and improved dose delivery at lower cost than the real time, 2D single slice imaging of MRI-guided radiotherapy.",
keywords = "Digital tomosynthesis, Image guidance, Kilovoltage x-ray, Lung radiotherapy, MRI, Real-time",
author = "Larry Partain and Stanley Benedict and Namho Kim and Megan Daly and Austin Ely and Andrew Hernandez and Samuel Song and Micheal Weil and Vitaliy Ziskin and Kyle Foletta and John Boone and Douglas Boyd",
year = "2019",
month = jan
day = "1",
doi = "10.1117/12.2511993",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Hilde Bosmans and Guang-Hong Chen and Schmidt, {Taly Gilat}",
booktitle = "Medical Imaging 2019",
note = "Medical Imaging 2019: Physics of Medical Imaging ; Conference date: 17-02-2019 Through 20-02-2019",
}