Literature DB >> 15789585

Is the diaphragm motion probability density function normally distributed?

R George1, P J Keall, V R Kini, S S Vedam, V Ramakrishnan, R Mohan.   

Abstract

During radiotherapy treatment planning, the margins given to the clinical target volume to form the planning target volume accounts for internal motion and set-up error. Most margin formulas assume that the underlying distributions are independent and normal. Clinical data suggests that the set-up error probability density function (pdf) can be considered to have an approximately normal distribution. However, there is evidence that internal motion does not have a normal distribution. Thus, in general, a convolution of the two pdfs should be performed to determine the total geometric error. The goals of this article were to (1) determine if the internal motion pdf due to respiration can be characterized using a normal distribution, and (2) if not, determine if the total geometric uncertainty for combining internal motion and set-up error can be characterized by a normal distribution. Sixty fluoroscopy diaphragm motion data sets were obtained using three breathing training types: free breathing, audio instruction, and visual feedback. Diaphragm motion was used as a surrogate for liver and lung cancer motion. The data were analyzed with normality tests in the following groups: (1) single motion measurements, (2) combined motion measurements for each patient, and (3) combined motion measurements for all patients. Following this analysis, the diaphragm motion pdfs were convolved with a set-up error pdf, and the standard deviation of the set-up error pdf at which the total geometric error pdf became normal was determined. At set-up error standard deviation values of at least 0.27 and 0.1 cm for free breathing, 0.57 and 0.42 cm for audio instruction, and 0.55 and 0 cm for visual feedback, for single motion measurements and combined motion measurements for each patient, respectively, total geometric error pdfs became approximately normal. When the motion measurements for all the patients were combined, diaphragm motion pdfs were approximately normal for all feedback types. Therefore, for treatment planning purposes in the absence of individual patient measurements, the diaphragm motion pdf can be considered an approximately normal distribution. However, care should be taken when determining a margin based on individual patients measurements as the total geometric error will, in general, not be normally distributed.

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Year:  2005        PMID: 15789585     DOI: 10.1118/1.1845031

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  4 in total

1.  Audiovisual biofeedback improves diaphragm motion reproducibility in MRI.

Authors:  Taeho Kim; Sean Pollock; Danny Lee; Ricky O'Brien; Paul Keall
Journal:  Med Phys       Date:  2012-11       Impact factor: 4.071

2.  Dosimetric comparison between volumetric modulated arc therapy planning techniques for prostate cancer in the presence of intrafractional organ deformation.

Authors:  Maria Varnava; Iori Sumida; Michio Oda; Keita Kurosu; Fumiaki Isohashi; Yuji Seo; Keisuke Otani; Kazuhiko Ogawa
Journal:  J Radiat Res       Date:  2021-03-10       Impact factor: 2.724

3.  Tumor trailing strategy for intensity-modulated radiation therapy of moving targets.

Authors:  Alexei Trofimov; Christian Vrancic; Timothy C Y Chan; Gregory C Sharp; Thomas Bortfeld
Journal:  Med Phys       Date:  2008-05       Impact factor: 4.071

4.  Evaluation of tumor localization in respiration motion-corrected cone-beam CT: prospective study in lung.

Authors:  Oleksandr Dzyubak; Russell Kincaid; Agung Hertanto; Yu-Chi Hu; Hai Pham; Andreas Rimner; Ellen Yorke; Qinghui Zhang; Gig S Mageras
Journal:  Med Phys       Date:  2014-10       Impact factor: 4.071

  4 in total

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