Respiration induced tumor motion leads to inaccuracies in the planning and delivery of radiation therapy treatments. This is particularly important for highly conformal therapies such as intensity-modulated radiation therapy (IMRT) and stereotactic body radiation therapy (SBRT). Conventional solutions included adding a 'safety margin"""""""" around the tumor which can often result in unnecessary irradiation of normal tissue thereby increasing normal tissue toxicity. Current commercially available methods with linear accelerators include breath-holds and gating during radiation delivery. The former is not tolerated well by patients while the later increases treatment delivery time, thereby increasing the risk of spurious patient motion and even reducing the biological effectiveness of the delivered radiation. We propose to develop a novel tumor motion compensation system using a treatment couch that will ensure accurate delivery of radiation treatment without increasing discomfort or treatment time and without decreasing the biological effectiveness. The goal of this proposal is to develop a real-time motion-synchronized treatment couch system using feedback control.
The specific aims of this proposal are to 1) use cine MR to dynamically image the tumor and an infrared camera to image skin markers simultaneously during normal respiration, 2) develop an inferential model that will correlate the position of the skin markers with the tumor position using partial-least squares (PLS) regression, 3) design and test a treatment couch and control system that will compensate for respiration induced motion using feedback control, 4) use autoregressive modeling to predict the tumor position ahead of time in order to improve the performance of the feedback control system by overcoming the dead time in the system and adaptive filtering to identify anamolous tumor positions. The results from our proposal have the potential to significantly impact radiation therapy of lung and upper abdominal cancers. The proposed research effort will lead to the development of a novel motion management framework using a real-time motion-synchronized treatment couch. Its eventual implementation in clinical practice will lead to reduced normal tissue toxicity through the use of smaller tumor margins and accurate tumor motion compensation. This will enable more widespread use of highly conformal treatments such as intensity- modulated radiation therapy (IMRT) and stereotactic body radiation therapy (SBRT) in a reliable manner.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Research Project (R01)
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Radiation Therapeutics and Biology Study Section (RTB)
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Deye, James
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University of Maryland Baltimore
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Shi, Xiutao; Diwanji, Tejan; Mooney, Karen E et al. (2014) Evaluation of template matching for tumor motion management with cine-MR images in lung cancer patients. Med Phys 41:052304
Malinowski, Kathleen; McAvoy, Thomas J; George, Rohini et al. (2013) Maintaining tumor targeting accuracy in real-time motion compensation systems for respiration-induced tumor motion. Med Phys 40:071709
Malinowski, Kathleen T; McAvoy, Thomas J; George, Rohini et al. (2012) Mitigating errors in external respiratory surrogate-based models of tumor position. Int J Radiat Oncol Biol Phys 82:e709-16
Malinowski, Kathleen; McAvoy, Thomas J; George, Rohini et al. (2012) Online monitoring and error detection of real-time tumor displacement prediction accuracy using control limits on respiratory surrogate statistics. Med Phys 39:2042-8
Malinowski, Kathleen; McAvoy, Thomas J; George, Rohini et al. (2012) Incidence of changes in respiration-induced tumor motion and its relationship with respiratory surrogates during individual treatment fractions. Int J Radiat Oncol Biol Phys 82:1665-73
Wu, Jianzhou; Lei, Peng; Shekhar, Raj et al. (2009) Do tumors in the lung deform during normal respiration? An image registration investigation. Int J Radiat Oncol Biol Phys 75:268-75