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      Improving radiotherapy planning, delivery accuracy, and normal tissue sparing using cutting edge technologies.

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          Abstract

          In the United States, more than half of all new invasive cancers diagnosed are non-small cell lung cancer, with a significant number of these cases presenting at locally advanced stages, resulting in about one-third of all cancer deaths. While the advent of stereotactic ablative radiation therapy (SABR, also known as stereotactic body radiotherapy, or SBRT) for early-staged patients has improved local tumor control to >90%, survival results for locally advanced stage lung cancer remain grim. Significant challenges exist in lung cancer radiation therapy including tumor motion, accurate dose calculation in low density media, limiting dose to nearby organs at risk, and changing anatomy over the treatment course. However, many recent technological advancements have been introduced that can meet these challenges, including four-dimensional computed tomography (4DCT) and volumetric cone-beam computed tomography (CBCT) to enable more accurate target definition and precise tumor localization during radiation, respectively. In addition, advances in dose calculation algorithms have allowed for more accurate dosimetry in heterogeneous media, and intensity modulated and arc delivery techniques can help spare organs at risk. New delivery approaches, such as tumor tracking and gating, offer additional potential for further reducing target margins. Image-guided adaptive radiation therapy (IGART) introduces the potential for individualized plan adaptation based on imaging feedback, including bulky residual disease, tumor progression, and physiological changes that occur during the treatment course. This review provides an overview of the current state of the art technology for lung cancer volume definition, treatment planning, localization, and treatment plan adaptation.

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          Author and article information

          Journal
          J Thorac Dis
          Journal of thoracic disease
          2072-1439
          2072-1439
          Apr 2014
          : 6
          : 4
          Affiliations
          [1 ] Henry Ford Health Systems, Detroit, MI, USA.
          Article
          jtd-06-04-303
          10.3978/j.issn.2072-1439.2013.11.10
          3968554
          24688775
          5c794127-297c-4968-9d14-c449ee194ae1
          History

          Lung cancer,dose calculation,motion management,treatment planning

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