Literature DB >> 10788690

Applications of simulator computed tomography number for photon dose calculations during radiotherapy treatment planning.

J C Chu1, B Ni, R Kriz, V Amod Saxena.   

Abstract

PURPOSE: To study the variation of computed tomography (CT) number from a simulator-based scanner and the effect of this variation on photon-dose calculations. METHOD AND MATERIALS: CT images of a cylindrical phantom with multiple inserts were obtained using a commercially-available simulator-CT (Ximatron: Varian, Palo Alto, CA). The linear correlation coefficient and Chi-square methods were used to determine the X-ray effective energy in a phantom. CT numbers in Hounsfield units (HU) were measured as a function of phantom size, orientation, field of view (FOV), distance from the center, and time for various inserts. The change of dose calculations due to the CT number variations was then determined using the equivalent path-length (EPL) and collapsed cone convolution methods. RESULTS AND DISCUSSION: A significant beam-hardening effect was observed for the simulator-CT. Consequently, the CT number from the sim-CT was more sensitive to the size of the phantom than those from a conventional CT. The sim-CT number is not sensitive to the locations within the phantom and is stable over a 6-week period. It is important to use the proper FOV for sim-CT studies; scanning a small polystyrene phantom using a large FOV may result in an increase of l20 HU in CT number at the center of the field. However, the dose-calculation variations, due to the CT number uncertainty, do not exceed 2-3% for 6-18 MV photon beams.
CONCLUSION: The simulator CT images were acquired with patients in the treatment position, and these CT numbers are useful for CT-based dose calculations.

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Year:  2000        PMID: 10788690     DOI: 10.1016/s0167-8140(00)00159-6

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  14 in total

1.  Can CT scan protocols used for radiotherapy treatment planning be adjusted to optimize image quality and patient dose? A systematic review.

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4.  Approaches to reducing photon dose calculation errors near metal implants.

Authors:  Jessie Y Huang; David S Followill; Rebecca M Howell; Xinming Liu; Dragan Mirkovic; Francesco C Stingo; Stephen F Kry
Journal:  Med Phys       Date:  2016-09       Impact factor: 4.071

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Authors:  Adam C Riegel; Moiz Ahmad; Xiaojun Sun; Tinsu Pan
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

8.  Dose deformation-invariance in adaptive prostate radiation therapy: implication for treatment simulations.

Authors:  Manju Sharma; Elisabeth Weiss; Jeffrey V Siebers
Journal:  Radiother Oncol       Date:  2012-11-29       Impact factor: 6.280

9.  Dosimetric verification of radiotherapy treatment planning systems in Serbia: national audit.

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Journal:  Radiat Oncol       Date:  2012-09-12       Impact factor: 3.481

10.  Effect of low-density heterogeneities in telecobalt therapy and validation of dose calculation algorithm of a treatment planning system.

Authors:  Anuj Kumar; Sunil Dutt Sharma; A K Arya; Surabhi Gupta; Deepak Shrotriya
Journal:  J Med Phys       Date:  2011-10
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