Literature DB >> 18383678

Evaluation of dosimetric margins in prostate IMRT treatment plans.

J J Gordon1, J V Siebers.   

Abstract

This work introduces a new concept--the dosimetric margin distribution (DMD)--and uses it to explain the sensitivity of a group of prostate IMRT treatment plans to patient setup errors. Prior work simulated the effect of setup errors on 27 prostate IMRT treatment plans and found the plans could tolerate larger setup errors than predicted by the van Herk margin formula. The conjectured reason for this disagreement was a breakdown in van Herk's assumption that the planned dose distribution conforms perfectly to target structures. To resolve the disagreement, this work employed the same 27 plans to evaluate the actual margin distributions that exist between: (i) the clinical target volume (CTV) and planning target volume (PTV) and (ii) the CTV and PTV minimum dose isodose surface. These distributions were evaluated for both prostate and nodal targets. Distribution (ii) is the DMD. The dosimetric margin in a given direction determines the probability that the CTV will be underdosed due to setup errors in that direction. Averaging over 4 pi sr gives the overall probability of CTV coverage. Minimum doses for prostate and nodal PTVs were obtained from dose volume histograms. Corresponding isodose surfaces were created and converted to regions of interest (ROIs). CTV, PTV, and isodose ROIs were saved as mesh files and then imported into a computational geometry application which calculated distances between meshes (i.e., margins) in 614 discrete directions covering 4 pi sr in 10 deg increments. Measured prostate CTV-to-PTV margins were close to the nominal value of 0.5 cm specified in the treatment planning protocol. However, depending on direction, prostate dosimetric margins ranged from 0.5 to 3 cm, reflecting the imperfect conformance of the planned dose distribution to the prostate PTV. For the nodal CTV, the nominal CTV-to-PTV margin employed in treatment planning was again 0.5 cm. However, due to the planning protocol, the nodal PTV follows the surface of the nodal CTV in several places, ensuring that there is no room for rigid body motion of the nodal CTV inside the nodal PTV. Measured nodal CTV-to-PTV margins were therefore zero, while nodal dosimetric margins ranged from 0.2 to 2.8 cm. Prostate and nodal target coverage were found to be well correlated with the measured DMDs, thereby resolving the apparent disagreement with our prior results. The principal conclusion is that target coverage in the presence of setup errors should be evaluated using the DMD, rather than the CTV-to-PTV margin distribution. The DMD is a useful planning metric, which generalizes the ICRU conformity index. DMDs could vary with number of beams, beam arrangements, TPS, and treatment site.

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Year:  2008        PMID: 18383678      PMCID: PMC2663592          DOI: 10.1118/1.2826558

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


  21 in total

1.  Quantization of setup uncertainties in 3-D dose calculations.

Authors:  A E Lujan; R K Ten Haken; E W Larsen; J M Balter
Journal:  Med Phys       Date:  1999-11       Impact factor: 4.071

2.  Evaluation of the validity of a convolution method for incorporating tumour movement and set-up variations into the radiotherapy treatment planning system.

Authors:  S D McCarter; W A Beckham
Journal:  Phys Med Biol       Date:  2000-04       Impact factor: 3.609

3.  The probability of correct target dosage: dose-population histograms for deriving treatment margins in radiotherapy.

Authors:  M van Herk; P Remeijer; C Rasch; J V Lebesque
Journal:  Int J Radiat Oncol Biol Phys       Date:  2000-07-01       Impact factor: 7.038

4.  The width of margins in radiotherapy treatment plans.

Authors:  A L McKenzie; M van Herk; B Mijnheer
Journal:  Phys Med Biol       Date:  2000-11       Impact factor: 3.609

5.  Inclusion of geometric uncertainties in treatment plan evaluation.

Authors:  Marcel van Herk; Peter Remeijer; Joos V Lebesque
Journal:  Int J Radiat Oncol Biol Phys       Date:  2002-04-01       Impact factor: 7.038

6.  The effect of set-up uncertainties, contour changes, and tissue inhomogeneities on target dose-volume histograms.

Authors:  B C John Cho; Marcel van Herk; Ben J Mijnheer; Harry Bartelink
Journal:  Med Phys       Date:  2002-10       Impact factor: 4.071

7.  Convolution method and CTV-to-PTV margins for finite fractions and small systematic errors.

Authors:  J J Gordon; J V Siebers
Journal:  Phys Med Biol       Date:  2007-03-20       Impact factor: 3.609

8.  Evaluation of clinical margins via simulation of patient setup errors in prostate IMRT treatment plans.

Authors:  J J Gordon; A J Crimaldi; M Hagan; J Moore; J V Siebers
Journal:  Med Phys       Date:  2007-01       Impact factor: 4.071

9.  Dose broadening due to target position variability during fractionated breath-held radiation therapy.

Authors:  W G O'Dell; M C Schell; D Reynolds; R Okunieff
Journal:  Med Phys       Date:  2002-07       Impact factor: 4.071

Review 10.  Set-up verification using portal imaging; review of current clinical practice.

Authors:  C W Hurkmans; P Remeijer; J V Lebesque; B J Mijnheer
Journal:  Radiother Oncol       Date:  2001-02       Impact factor: 6.280

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  18 in total

1.  Coverage-based treatment planning: optimizing the IMRT PTV to meet a CTV coverage criterion.

Authors:  J J Gordon; J V Siebers
Journal:  Med Phys       Date:  2009-03       Impact factor: 4.071

2.  Sensitivity of postplanning target and OAR coverage estimates to dosimetric margin distribution sampling parameters.

Authors:  Huijun Xu; J James Gordon; Jeffrey V Siebers
Journal:  Med Phys       Date:  2011-02       Impact factor: 4.071

3.  Inter- and intrafractional positional uncertainties in pediatric radiotherapy patients with brain and head and neck tumors.

Authors:  Chris Beltran; Matthew J Krasin; Thomas E Merchant
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-06-03       Impact factor: 7.038

4.  Comparisons of treatment optimization directly incorporating systematic patient setup uncertainty with a margin-based approach.

Authors:  Joseph A Moore; J James Gordon; Mitchell Anscher; Joaquin Silva; Jeffrey V Siebers
Journal:  Med Phys       Date:  2012-02       Impact factor: 4.071

5.  Dosimetric impact of intrafractional patient motion in pediatric brain tumor patients.

Authors:  Chris Beltran; John Trussell; Thomas E Merchant
Journal:  Med Dosim       Date:  2009-02-07       Impact factor: 1.482

6.  Coverage-based treatment planning to accommodate delineation uncertainties in prostate cancer treatment.

Authors:  Huijun Xu; J James Gordon; Jeffrey V Siebers
Journal:  Med Phys       Date:  2015-09       Impact factor: 4.071

7.  Comparisons of treatment optimization directly incorporating random patient setup uncertainty with a margin-based approach.

Authors:  Joseph A Moore; John J Gordon; Mitchell S Anscher; Jeffrey V Siebers
Journal:  Med Phys       Date:  2009-09       Impact factor: 4.071

8.  Schedule for CT image guidance in treating prostate cancer with helical tomotherapy.

Authors:  G Beldjoudi; S Yartsev; G Bauman; J Battista; J Van Dyk
Journal:  Br J Radiol       Date:  2009-06-08       Impact factor: 3.039

9.  Estimating PTV Margins in Head and Neck Stereotactic Ablative Radiation Therapy (SABR) Through Target Site Analysis of Positioning and Intrafractional Accuracy.

Authors:  Shane Mesko; He Wang; Samuel Tung; Congjun Wang; Dario Pasalic; Bhavana V Chapman; Amy C Moreno; Jay P Reddy; Adam S Garden; David I Rosenthal; G Brandon Gunn; Steven J Frank; Clifton D Fuller; William Morrison; Jack Phan
Journal:  Int J Radiat Oncol Biol Phys       Date:  2019-09-30       Impact factor: 7.038

10.  Coverage-based treatment planning to accommodate deformable organ variations in prostate cancer treatment.

Authors:  Huijun Xu; Douglas J Vile; Manju Sharma; J James Gordon; Jeffrey V Siebers
Journal:  Med Phys       Date:  2014-10       Impact factor: 4.071

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