Statistical analysis and correlation discovery of tumor respiratory motion

Huanmei Wu, Gregory C. Sharp, Qingya Zhao, Hiroki Shirato, Steve B. Jiang

Research output: Contribution to journalArticle

35 Citations (Scopus)

Abstract

Tumors, especially in the thorax and abdomen, are subject to respiratory motion, and understanding the structure of respiratory motion is a key component to the management and control of disease in these sites. We have applied statistical analysis and correlation discovery methods to analyze and mine tumor respiratory motion based on a finite state model of tumor motion. Aggregates (such as minimum, maximum, average and mean), histograms, percentages, linear regression and multi-round statistical analysis have been explored. The results have been represented in various formats, including tables, graphs and text description. Different graphs, for example scatter plots, clustered column figures, 100% stacked column figures and box-whisker plots, have been applied to highlight different aspects of the results. The internal tumor motion from 42 lung tumors, 30 of which have motion larger than 5 mm, has been analyzed. Results for both inter-patient and intra-patient motion characteristics, such as duration and travel distance patterns, are reported. New knowledge of patient-specific tumor motion characteristics have been discovered, such as expected correlations between properties. The discovered tumor motion characteristics will be utilized in different aspects of image-guided radiation treatment, including treatment planning, online tumor motion prediction and real-time radiation dose delivery.

Original languageEnglish
Article number004
Pages (from-to)4761-4774
Number of pages14
JournalPhysics in Medicine and Biology
Volume52
Issue number16
DOIs
StatePublished - Aug 21 2007

Fingerprint

statistical correlation
statistical analysis
Tumors
Statistical methods
tumors
Neoplasms
plots
Radiation
thorax
Vibrissae
abdomen
Linear regression
Dosimetry
radiation
Disease Management
histograms
Abdomen
lungs
travel
format

ASJC Scopus subject areas

  • Biomedical Engineering
  • Physics and Astronomy (miscellaneous)
  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

Cite this

Statistical analysis and correlation discovery of tumor respiratory motion. / Wu, Huanmei; Sharp, Gregory C.; Zhao, Qingya; Shirato, Hiroki; Jiang, Steve B.

In: Physics in Medicine and Biology, Vol. 52, No. 16, 004, 21.08.2007, p. 4761-4774.

Research output: Contribution to journalArticle

Wu, Huanmei ; Sharp, Gregory C. ; Zhao, Qingya ; Shirato, Hiroki ; Jiang, Steve B. / Statistical analysis and correlation discovery of tumor respiratory motion. In: Physics in Medicine and Biology. 2007 ; Vol. 52, No. 16. pp. 4761-4774.
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