Tumor motion ranges due to respiration and respiratory motion characteristics

Sonja Dieterich, Yelin Suh

Research output: Chapter in Book/Report/Conference proceedingChapter

21 Citations (Scopus)

Abstract

Many soft-tissue tumors targeted with extracranial SRS move during respiration. New imaging technologies, motion compensation strategies, and treatment planning algorithms are being developed which enable tracking and treatment of moving tumors in real-time. For this chapter we reviewed the literature to determine known tumor motion amplitudes for lung, liver, and pancreas. Then we analyzed predicted tumor motion for 36 patients and 117 treatment fractions that were previously saved in CyberKnife® (Accuray Incorporated, Sunnyvale, CA) treatment logfiles. These represent 27 tumors in the lung (16 upper lung, 4 middle lung, 7 lower lung) and 9 pancreas patients. For each treatment, the location of the target at end inspiration and end expiration was determined in the patient coordinate system. The origin of the patient coordinate system is at the center of mass of the fiducials as marked on the simulation CT, +x is patient inferior, +y patient left, and +z anterior in a right-handed coordinate system. The mean and variance of respiratory cycle extrema positions were calculated using a program written in MatLab code. Observed motion ranges for all sites except pancreas agree very well with the literature. The largest motion amplitudes of up to 38.7 mm were observed in the lower lung. Twenty-five percent of tumors in the upper lung could have been treated without Synchrony® (Accuray Incorporated, Sunnyvale, CA) with a PTV margin of 2 mm, because the uncertainty is in the range of the technical tracking accuracy of Synchrony of 1.5 mm. Possible causes of large fluctuations around the mean motion could be fiducial tracking errors or irregular breathing. We concluded that a subset of all patients could have been treated using skeletal structure tracking, rather than implanted fiducials, and a PTV margin in the range of the stated tracking accuracy for Synchrony. Defining meaningful parameters to characterize the effects of free breathing is part of ongoing research, since published data from non-dynamic SBRT is limited to short fluoroscopic studies or Cine-CT. The results can be transferred to other treatment modalities to determine PTV margins in standard external beam treatments as well as defining the PTV in the third dimension for 2D motion compensation [1].

Original languageEnglish (US)
Title of host publicationTreating Tumors that Move with Respiration
PublisherSpringer Berlin Heidelberg
Pages3-13
Number of pages11
ISBN (Print)9783540698852
DOIs
StatePublished - 2007
Externally publishedYes

Fingerprint

Articular Range of Motion
Respiration
Lung
Neoplasms
Pancreas
Therapeutics
Fiducial Markers
X Ray Computed Tomography
Uncertainty
Technology
Liver
Research

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Dieterich, S., & Suh, Y. (2007). Tumor motion ranges due to respiration and respiratory motion characteristics. In Treating Tumors that Move with Respiration (pp. 3-13). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-69886-9_1

Tumor motion ranges due to respiration and respiratory motion characteristics. / Dieterich, Sonja; Suh, Yelin.

Treating Tumors that Move with Respiration. Springer Berlin Heidelberg, 2007. p. 3-13.

Research output: Chapter in Book/Report/Conference proceedingChapter

Dieterich, S & Suh, Y 2007, Tumor motion ranges due to respiration and respiratory motion characteristics. in Treating Tumors that Move with Respiration. Springer Berlin Heidelberg, pp. 3-13. https://doi.org/10.1007/978-3-540-69886-9_1
Dieterich S, Suh Y. Tumor motion ranges due to respiration and respiratory motion characteristics. In Treating Tumors that Move with Respiration. Springer Berlin Heidelberg. 2007. p. 3-13 https://doi.org/10.1007/978-3-540-69886-9_1
Dieterich, Sonja ; Suh, Yelin. / Tumor motion ranges due to respiration and respiratory motion characteristics. Treating Tumors that Move with Respiration. Springer Berlin Heidelberg, 2007. pp. 3-13
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