A biomechanical approach for in vivo lung tumor motion prediction during external beam radiation therapy

Elham Karami; Stewart Gaede; Ting-Yim Lee; Abbas Samani

doi:10.1117/12.2082447

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18 March 2015 A biomechanical approach for in vivo lung tumor motion prediction during external beam radiation therapy

Elham Karami; Stewart Gaede; Ting-Yim Lee; Abbas Samani

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Proceedings Volume 9415, Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling; 941512 (2015) https://doi.org/10.1117/12.2082447
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

Lung Cancer is the leading cause of cancer death in both men and women. Among various treatment methods currently being used in the clinic, External Beam Radiation Therapy (EBRT) is used widely not only as the primary treatment method, but also in combination with chemotherapy and surgery. However, this method may lack desirable dosimetric accuracy because of respiration induced tumor motion. Recently, biomechanical modeling of the respiratory system has become a popular approach for tumor motion prediction and compensation. This approach requires reasonably accurate data pertaining to thoracic pressure variation, diaphragm position and biomechanical properties of the lung tissue in order to predict the lung tissue deformation and tumor motion. In this paper, we present preliminary results of an in vivo study obtained from a Finite Element Model (FEM) of the lung developed to predict tumor motion during respiration.

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Elham Karami, Stewart Gaede, Ting-Yim Lee, and Abbas Samani "A biomechanical approach for in vivo lung tumor motion prediction during external beam radiation therapy", Proc. SPIE 9415, Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling, 941512 (18 March 2015); https://doi.org/10.1117/12.2082447

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