Literature DB >> 10348298

A model to accumulate fractionated dose in a deforming organ.

D Yan1, D A Jaffray, J W Wong.   

Abstract

PURPOSE: Measurements of internal organ motion have demonstrated that daily organ deformation exists throughout the course of radiation treatment. However, a method of constructing the resultant dose delivered to the organ volume remains a difficult challenge. In this study, a model to quantify internal organ motion and a method to construct a cumulative dose in a deforming organ are introduced. METHODS AND MATERIALS: A biomechanical model of an elastic body is used to quantify patient organ motion in the process of radiation therapy. Intertreatment displacements of volume elements in an organ of interest is calculated by applying an finite element method with boundary conditions, obtained from multiple daily computed tomography (CT) measurements. Therefore, by incorporating also the measurements of daily setup error, daily dose delivered to a deforming organ can be accumulated by tracking the position of volume elements in the organ. Furthermore, distribution of patient-specific organ motion is also predicted during the early phase of treatment delivery using the daily measurements, and the cumulative dose distribution in the organ can then be estimated. This dose distribution will be updated whenever a new measurement becomes available, and used to reoptimize the ongoing treatment.
RESULTS: An integrated process to accumulate dosage in a daily deforming organ was implemented. In this process, intertreatment organ motion and setup error were systematically quantified, and incorporated in the calculation of the cumulative dose. An example of the rectal wall motion in a prostate treatment was applied to test the model. The displacements of volume elements in the rectal wall, as well as the resultant doses, were calculated.
CONCLUSION: This study is intended to provide a systematic framework to incorporate daily patient-specific organ motion and setup error in the reconstruction of the cumulative dose distribution in an organ of interest. The realistic dose distribution in an organ of interest gives the true dose-volume relationship, and may play an important role in the evaluation of the dose response of human organs. Dose reconstruction during the course of treatment delivery can also be used as an important feedback for the online optimization of individual treatment plans.

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Year:  1999        PMID: 10348298     DOI: 10.1016/s0360-3016(99)00007-3

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  40 in total

1.  Evaluations of an adaptive planning technique incorporating dose feedback in image-guided radiotherapy of prostate cancer.

Authors:  Han Liu; Qiuwen Wu
Journal:  Med Phys       Date:  2011-12       Impact factor: 4.071

2.  A method to evaluate dose errors introduced by dose mapping processes for mass conserving deformations.

Authors:  C Yan; G Hugo; F J Salguero; N Saleh-Sayah; E Weiss; W C Sleeman; J V Siebers
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

Review 3.  Accurate accumulation of dose for improved understanding of radiation effects in normal tissue.

Authors:  David A Jaffray; Patricia E Lindsay; Kristy K Brock; Joseph O Deasy; W A Tomé
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-03-01       Impact factor: 7.038

4.  Measurement of mechanical properties of rectal wall.

Authors:  Y Qiao; E Pan; S S Chakravarthula; F Han; J Liang; S Gudlavalleti
Journal:  J Mater Sci Mater Med       Date:  2005-02       Impact factor: 3.896

5.  Assessment of dose reconstruction errors in image-guided radiation therapy.

Authors:  Hualiang Zhong; Elisabeth Weiss; Jeffrey V Siebers
Journal:  Phys Med Biol       Date:  2008-01-11       Impact factor: 3.609

Review 6.  Image-guided radiotherapy: from current concept to future perspectives.

Authors:  David A Jaffray
Journal:  Nat Rev Clin Oncol       Date:  2012-11-20       Impact factor: 66.675

7.  Practical Clinical Workflows for Online and Offline Adaptive Radiation Therapy.

Authors:  Olga L Green; Lauren E Henke; Geoffrey D Hugo
Journal:  Semin Radiat Oncol       Date:  2019-07       Impact factor: 5.934

8.  Sliding characteristic and material compressibility of human lung: parametric study and verification.

Authors:  A Al-Mayah; J Moseley; M Velec; K K Brock
Journal:  Med Phys       Date:  2009-10       Impact factor: 4.071

9.  Statistical simulations to estimate motion-inclusive dose-volume histograms for prediction of rectal morbidity following radiotherapy.

Authors:  Maria Thor; Aditya Apte; Joseph O Deasy; Ludvig Paul Muren
Journal:  Acta Oncol       Date:  2012-12-04       Impact factor: 4.089

10.  Forecasting longitudinal changes in oropharyngeal tumor morphology throughout the course of head and neck radiation therapy.

Authors:  Adam D Yock; Arvind Rao; Lei Dong; Beth M Beadle; Adam S Garden; Rajat J Kudchadker; Laurence E Court
Journal:  Med Phys       Date:  2014-08       Impact factor: 4.071

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