The dosimetric consequences of inter-fractional patient movement on three classes of intensity-modulated delivery techniques in breast radiotherapy

Hector, Charlotte L; Evans, Philip; Webb, Steve

doi:10.1016/s0167-8140(01)00309-7

Cited by 14 publications

(3 citation statements)

References 36 publications

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“…However, although systematic error analysis applied to the treatment plan itself was first suggested by Goitein as long ago as 1985, it is only recently that a number of groups have returned to this subject with respect to the impact of various aspects of delivery uncertainty on IMRT delivery (see, e.g. Löf et al (1998), Yu et al (1998), Hector et al (2001aHector et al ( , 2001b, Samuelsson et al (2003), Chetty et al (2004Chetty et al ( , 2005).…”

Section: Introductionmentioning

confidence: 99%

Intensity modulated proton therapy and its sensitivity to treatment uncertainties 1: the potential effects of calculational uncertainties

2008

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The effects of calculational uncertainties on 3D and distal edge tracking (DET) intensity modulated proton therapy (IMPT) treatment plans have been investigated. Dose calculation uncertainties have been assessed by comparing analytical and Monte Carlo dose calculations, and potential range uncertainties by recalculating plans with all CT values modified by +/-3%. Analysis of the volume of PTV agreeing to within +/-3% between the two calculations shows that the 3D approach provides significantly improved agreement (87.1 versus 80.3% of points for the 3D and DET approaches, respectively). For the DET approach, doses in the CTV have also been found to globally change by 5% as a result of 3% changes in CT value. When varying the intra-field gradients of the plans a similar trend is seen, but with the more complex plans also being found to be more sensitive to both uncertainties. In conclusion, the DET approach has been found to be relatively sensitive to the calculational errors investigated here. In contrast, the 3D approach appears to be quite robust, unless strong internal gradients are present. Nevertheless, the routine use of uncertainty analysis is advised when assessing all forms of IMPT plans.

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Section: Introductionmentioning

confidence: 99%

Intensity modulated proton therapy and its sensitivity to treatment uncertainties 1: the potential effects of calculational uncertainties

2008

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“…Hector et al analyzed interfractional error due to patient position, respiratory, or physiological movement in the IMRT treatment of breast cancer, and reported that the error of dose homogeneity in the target was about 2% on average. 21 The error associated with interfractional change of patient anatomy in the IMRT of breast cancer is well-known; however, to our knowledge, the quantitative analysis of dosimetric consequence has not yet been made.…”

Section: Disscussion and Conclusionmentioning

confidence: 99%

Interfractional dose variation due to seromas in radiotherapy of breast cancer

et al. 2005

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“…Therefore, the features acquired at each treatment session are spatially registered to a predefined reference configuration, in order to match the irradiation target localization to its treatment planning position. Accurate registration represents the necessary premise to make the most of modern technologies for beam conformation and delivery (Hector et al 2000(Hector et al , 2001. Residual errors, following setup optimization (registration), measured on the target itself, define the target registration error (TRE) (Maurer et al 1998.…”

Section: Introductionmentioning

confidence: 99%

Genetic evolutionary taboo search for optimal marker placement in infrared patient setup

et al. 2007

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In infrared patient setup adequate selection of the external fiducial configuration is required for compensating inner target displacements (target registration error, TRE). Genetic algorithms (GA) and taboo search (TS) were applied in a newly designed approach to optimal marker placement: the genetic evolutionary taboo search (GETS) algorithm. In the GETS paradigm, multiple solutions are simultaneously tested in a stochastic evolutionary scheme, where taboo-based decision making and adaptive memory guide the optimization process. The GETS algorithm was tested on a group of ten prostate patients, to be compared to standard optimization and to randomly selected configurations. The changes in the optimal marker configuration, when TRE is minimized for OARs, were specifically examined. Optimal GETS configurations ensured a 26.5% mean decrease in the TRE value, versus 19.4% for conventional quasi-Newton optimization. Common features in GETS marker configurations were highlighted in the dataset of ten patients, even when multiple runs of the stochastic algorithm were performed. Including OARs in TRE minimization did not considerably affect the spatial distribution of GETS marker configurations. In conclusion, the GETS algorithm proved to be highly effective in solving the optimal marker placement problem. Further work is needed to embed site-specific deformation models in the optimization process.

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The dosimetric consequences of inter-fractional patient movement on three classes of intensity-modulated delivery techniques in breast radiotherapy

Cited by 14 publications

References 36 publications

Intensity modulated proton therapy and its sensitivity to treatment uncertainties 1: the potential effects of calculational uncertainties

Intensity modulated proton therapy and its sensitivity to treatment uncertainties 1: the potential effects of calculational uncertainties

Interfractional dose variation due to seromas in radiotherapy of breast cancer

Genetic evolutionary taboo search for optimal marker placement in infrared patient setup

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