Dosimetry of beta sources in radiotherapy. I. The beta point source dose function

Vynckier, Stefaan; Wambersie, André

doi:10.1088/0031-9155/27/11/004

Cited by 25 publications

(26 citation statements)

References 8 publications

(14 reference statements)

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“…To calculate Ḋ up and Ḋ acc , the Vynckier-Wambersie point-source dose distribution function (point kernel) is utilized Wambersie 1982, Vynckier andWambersie 1986): Gow and others (2) with [ ] ≡ 0 for ρvx ≥ c and J(x) ≡ 0 for ρvx ≥ f where:…”

Section: Dosimetry Modelmentioning

confidence: 99%

Dose Calculations for [¹³¹I] Meta-Iodobenzylguanidine-Induced Bystander Effects

Gow

Seymour

Boyd³

et al. 2013

Dose-Response

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ᮀ Targeted radiotherapy is a potentially useful treatment for some cancers and may be potentiated by bystander effects. However, without estimation of absorbed dose, it is difficult to compare the effects with conventional external radiation treatment. Methods: Using the Vynckier -Wambersie dose point kernel, a model for dose rate evaluation was created allowing for calculation of absorbed dose values to two cell lines transfected with the noradrenaline transporter (NAT) gene and treated with [

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Section: Dosimetry Modelmentioning

confidence: 99%

Dose Calculations for [¹³¹I] Meta-Iodobenzylguanidine-Induced Bystander Effects

Gow

Seymour

Boyd³

et al. 2013

Dose-Response

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“…Alternatively, the beta point source dose function can be implemented from empirically derived expressions 14,15,21,22 which yield similar results.…”

Section: Radial Dose Function G"r…mentioning

confidence: 99%

“…Hokkanen et al 11 proposed a numerical integration of the beta point source function originally derived by Loevinger 14 and later refined by Vynckier and Wambersie. 15 Their approach, as described, was restricted to radionuclide distributions which were cylindrically symmetrical around the central axis of the applicator. Various groups 7,8,12,13 have experimented with Monte Carlo models for beta applicator dose calculations.…”

Section: Introductionmentioning

confidence: 99%

A patch source model for treatment planning of ruthenium ophthalmic applicators

Astrahan

2003

Medical Physics

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Beta-ray emitting Ru-106/Rh-106 ophthalmic applicators have been used for close to 4 decades in the treatment of choroidal melanoma. The form factor of these applicators is a spherically concave silver bowl with an inner radius of curvature between 12 and 14 mm, and a total shell thickness of 1 mm. The radioactive nuclide is deposited in a layer 0.1 mm below the concave surface of the applicator. Calculation of dose distributions for clinical treatment planning purposes is complicated by the concave nature of the distributed source, the asymmetric shape of the active region of some applicators, imperfections in the manufacturing process which can result in an inhomogeneous distribution of activity across the active surface, and absorption and scatter in the 0.1 mm layer of silver which seals and protects the radioactive layer. A semi-empirical method of calculating dose distributions for these applicators is described which is fundamentally compatible with treatment planning systems that use the AAPM TG43 brachytherapy formalism. Dose to water is estimated by summing a "patch source" dose function over a discrete number of overlapping patches uniformly distributed over the active surface of the applicator. The patch source dose function differs conceptually from a point source dose function in that it is intended to represent the macroscopic behavior of a small, disk-like region of the applicator. The patch source dose function includes an anisotropy term to account for angular variation in absorption and scatter as particles traverse the 0.1 mm silver window. It geometrically models the nearfield of a patch with properties akin to both a small disk and infinite plane, and models the farfield as if the patch were a point. This allows a manageable number of discrete patches (300 to 1000) to provide accuracy appropriate for clinical treatment planning. This approach has the advantages of using familiar concepts and data structures, it is computationally quick, and it readily adapts to asymmetric applicator shapes and inhomogeneities in the radionuclide distribution. A method for optimizing the patch source dose function parameters is presented, and the dosimetric calculations are compared with published Monte Carlo calculations and measurements.

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“…Such point kernels were calculated for monoenergetic electrons by Spencer (1955Spencer ( , 1959, using a numerical solution of the transport equation, and his results were averaged over a number of beta-ray spectra by Cross (1967a), Berger ( 197 l), and Cross et al ( 1982) to give dose distributions for beta emitters. Such calculations can serve as a standard against which much more approximate empirical expressions for dose distributions (e.g., Loevinger 1956;Bochkarev et al 1972;Vynckier and Wambersie 1982;Chabot et al 1988;Prestwich et al 1989) can be compared. Spencer's (1955Spencer's ( , 1959 results are based on the continuous slowing-down approximation (CSDA) and, because they neglect statistical fluctuations in energy losses, they underestimate doses at large distances.…”

Section: Introductionmentioning

confidence: 99%

Estimates of Absorption of Radiofrequency Radiation by the Embryo and Fetus During Pregnancy

No²,

Py³

1992

Health Physics

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The ACCEPT Monte Carlo code has been used to calculate radial dose distributions around isotropic point sources of monoenergetic electrons between 0.01 and 10 MeV in an infinite water medium. The results were averaged over beta spectra to derive distributions for 147 beta emitters of which 32 are presented. More extensive tables of distributions will be presented in a report. Distributions for monoenergetic electrons agree with recent ETRAN-code calculations of Berger and Seltzer within 2%, except at very short distances where there are differences up to several percent. Results calculated by the EGS4 code differ by up to a few percent. Distributions for beta emitters are in excellent agreement with both experimental results and ETRAN and EGS4 calculations, except at very short distances.

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Dosimetry of beta sources in radiotherapy. I. The beta point source dose function

Cited by 25 publications

References 8 publications

Dose Calculations for [¹³¹I] Meta-Iodobenzylguanidine-Induced Bystander Effects

Dose Calculations for [¹³¹I] Meta-Iodobenzylguanidine-Induced Bystander Effects

A patch source model for treatment planning of ruthenium ophthalmic applicators

Estimates of Absorption of Radiofrequency Radiation by the Embryo and Fetus During Pregnancy

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Dosimetry of beta sources in radiotherapy. I. The beta point source dose function

Cited by 25 publications

References 8 publications

Dose Calculations for [131I] Meta-Iodobenzylguanidine-Induced Bystander Effects

Dose Calculations for [131I] Meta-Iodobenzylguanidine-Induced Bystander Effects

A patch source model for treatment planning of ruthenium ophthalmic applicators

Estimates of Absorption of Radiofrequency Radiation by the Embryo and Fetus During Pregnancy

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Product

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Dose Calculations for [¹³¹I] Meta-Iodobenzylguanidine-Induced Bystander Effects

Dose Calculations for [¹³¹I] Meta-Iodobenzylguanidine-Induced Bystander Effects