Literature DB >> 19378757

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

J J Gordon1, J V Siebers.   

Abstract

This work demonstrates an iterative approach-referred to as coverage-based treatment planning-designed to produce treatment plans that ensure target coverage for a specified percentage of setup errors. In this approach the clinical target volume to planning target volume (CTV-to-PTV) margin is iteratively adjusted until the specified CTV coverage is achieved. The advantage of this approach is that it automatically compensates for the dosimetric margin around the CTV, i.e., the extra margin that is created when the dose distribution extends beyond the PTV. When applied to 27 prostate plans, this approach reduced the average CTV-to-PTV margin from 5 to 2.8 mm. This reduction in PTV size produced a corresponding decrease in the volume of normal tissue receiving high dose. The total volume of tissue receiving > or =65 Gy was reduced on average by 19.3% or about 48 cc. Individual reductions varied from 8.7% to 28.6%. The volume of bladder receiving > or =60 Gy was reduced on average by 5.6% (reductions for individuals varied from 1.7% to 10.6%), and the volume of periprostatic rectum receiving > or =65 Gy was reduced on average by 4.9% (reductions for individuals varied from 0.9% to 12.3%). The iterative method proposed here represents a step toward a probabilistic treatment planning algorithm which can generate dose distributions (i.e., treated volumes) that closely approximate a specified level of coverage in the presence of geometric uncertainties. The general principles of coverage-based treatment planning are applicable to arbitrary treatment sites and delivery techniques. Importantly, observed deviations between coverage implied by specified CTV-to-PTV margins and coverage achieved by a given treatment plan imply a generic need to perform coverage probability analysis on a per-plan basis to ensure that the desired level of coverage is achieved.

Mesh:

Year:  2009        PMID: 19378757      PMCID: PMC4108678          DOI: 10.1118/1.3075772

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


  32 in total

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2.  Simulation and visualization of dose uncertainties due to interfractional organ motion.

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4.  Inverse plan optimization accounting for random geometric uncertainties with a multiple instance geometry approximation (MIGA).

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5.  Efficient schemes for robust IMRT treatment planning.

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6.  Relating two techniques for handling uncertainties in IMRT optimization.

Authors:  J Unkelbach; U Oelfke
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7.  Robust treatment planning for intensity modulated radiotherapy of prostate cancer based on coverage probabilities.

Authors:  Christoph Baum; Markus Alber; Mattias Birkner; Fridtjof Nüsslin
Journal:  Radiother Oncol       Date:  2005-10-10       Impact factor: 6.280

8.  Incorporating organ movements in IMRT treatment planning for prostate cancer: minimizing uncertainties in the inverse planning process.

Authors:  Jan Unkelbach; Uwe Oelfke
Journal:  Med Phys       Date:  2005-08       Impact factor: 4.071

9.  A robust approach to IMRT optimization.

Authors:  Timothy C Y Chan; Thomas Bortfeld; John N Tsitsiklis
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10.  Improving IMRT dose accuracy via deliverable Monte Carlo optimization for the treatment of head and neck cancer patients.

Authors:  Nesrin Dogan; Jeffery V Siebers; Paul J Keall; Fritz Lerma; Yan Wu; Mirek Fatyga; Jeffrey F Williamson; Rupert K Schmidt-Ullrich
Journal:  Med Phys       Date:  2006-11       Impact factor: 4.071

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  10 in total

1.  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

2.  Optimizing principal component models for representing interfraction variation in lung cancer radiotherapy.

Authors:  Ahmed M Badawi; Elisabeth Weiss; William C Sleeman; Chenyu Yan; Geoffrey D Hugo
Journal:  Med Phys       Date:  2010-09       Impact factor: 4.071

3.  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

4.  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

5.  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

Review 6.  Target margins in radiotherapy of prostate cancer.

Authors:  Slav Yartsev; Glenn Bauman
Journal:  Br J Radiol       Date:  2016-07-20       Impact factor: 3.039

7.  A novel probabilistic approach to generating PTV with partial voxel contributions.

Authors:  H S Tsang; C P Kamerling; P Ziegenhein; S Nill; U Oelfke
Journal:  Phys Med Biol       Date:  2017-04-05       Impact factor: 3.609

8.  Intrafractional motion models based on principal components in Magnetic Resonance guided prostate radiotherapy.

Authors:  Samuel Fransson; David Tilly; Anders Ahnesjö; Tufve Nyholm; Robin Strand
Journal:  Phys Imaging Radiat Oncol       Date:  2021-10-04

9.  Evaluation of Plan Robustness Using Hybrid Intensity-Modulated Radiotherapy (IMRT) and Volumetric Arc Modulation Radiotherapy (VMAT) for Left-Sided Breast Cancer.

Authors:  Zhen Ding; Qi Zeng; Kailian Kang; Meiling Xu; Xiaoyong Xiang; Chenbin Liu
Journal:  Bioengineering (Basel)       Date:  2022-03-24

10.  Prospective evaluation of the setup errors and its impact on safety margin for cervical cancer pelvic conformal radiotherapy.

Authors:  Avinash Badajena; Vijay Parshuram Raturi; Kirti Sirvastava; Hidehiro Hojo; Hajime Ohyoshi; Yanping Bei; Toshiya Rachi; Chen-Ta Wu; Taku Tochinai; Masayuki Okumura; Haiqin Zhang; Hirotaki Kouta; Pragya Verma; Geeta Singh; Abhishek Anand; Anjali Sachan
Journal:  Rep Pract Oncol Radiother       Date:  2020-02-22
  10 in total

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