Literature DB >> 22320820

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

Joseph A Moore1, J James Gordon, Mitchell Anscher, Joaquin Silva, Jeffrey V Siebers.   

Abstract

PURPOSE: To develop a probabilistic treatment planning (PTP) method which is robust to systematic patient setup errors and to compare PTP plans with plans generated using a planning target volume (PTV) margin optimized to give the same target coverage probability as the PTP plan.
METHODS: Plans adhering to the RTOG-0126 protocol are developed for 28 prostate patients using PTP and margin-based planning. For PTP, an objective function that simultaneously considers multiple possible patient positions is developed. PTP plans are optimized using clinical target volume (CTV) structures and organ at risk (OAR) structures. The desired CTV coverage probability is 95%. Plans that cannot achieve a 95% CTV coverage probability are re-optimized with a desired CTV coverage probability reduced by 5% until the desired CTV coverage probability is achieved. Margin-based plans are created which achieve the same CTV coverage probability as the PTP plans by iterative adjustment of the CTV-to-PTV margin. Postoptimization, probabilistic dose-volume coverage metrics are used to compare the plans.
RESULTS: For equivalent target coverage probability, PTP plans significantly reduce coverage probability for rectum objectives (-17% for D(35) < 65 Gy, p = 0.0010; -23% for D(25) < 70 Gy, p < 0.0001; and -27% for D(15) < 75 Gy, p < 0.0001). Physician assessment indicates PTP plans are entirely preferred 71% of the time while margin-based plans are entirely preferred 7% of the time.
CONCLUSIONS: For plans having the same target coverage probability, PTP has potential to reduce rectal doses while maintaining CTV coverage probability. In blind comparisons, physicians prefer PTP plans over optimized margin plans.

Entities:  

Mesh:

Year:  2012        PMID: 22320820      PMCID: PMC3293365          DOI: 10.1118/1.3679856

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


  25 in total

1.  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

2.  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

3.  A fluence-convolution method to calculate radiation therapy dose distributions that incorporate random set-up error.

Authors:  W A Beckham; P J Keall; J V Siebers
Journal:  Phys Med Biol       Date:  2002-10-07       Impact factor: 3.609

Review 4.  Errors and margins in radiotherapy.

Authors:  Marcel van Herk
Journal:  Semin Radiat Oncol       Date:  2004-01       Impact factor: 5.934

5.  Inclusion of organ movements in IMRT treatment planning via inverse planning based on probability distributions.

Authors:  J Unkelbach; U Oelfke
Journal:  Phys Med Biol       Date:  2004-09-07       Impact factor: 3.609

6.  Limitations of a convolution method for modeling geometric uncertainties in radiation therapy. II. The effect of a finite number of fractions.

Authors:  Tim Craig; Jerry Battista; Jake Van Dyk
Journal:  Med Phys       Date:  2003-08       Impact factor: 4.071

7.  An adaptive control algorithm for optimization of intensity modulated radiotherapy considering uncertainties in beam profiles, patient set-up and internal organ motion.

Authors:  J Löf; B K Lind; A Brahme
Journal:  Phys Med Biol       Date:  1998-06       Impact factor: 3.609

8.  Coverage optimized planning: probabilistic treatment planning based on dose coverage histogram criteria.

Authors:  J J Gordon; N Sayah; E Weiss; J V Siebers
Journal:  Med Phys       Date:  2010-02       Impact factor: 4.071

9.  Adapting inverse planning to patient and organ geometrical variation: algorithm and implementation.

Authors:  M Birkner; D Yan; M Alber; J Liang; F Nüsslin
Journal:  Med Phys       Date:  2003-10       Impact factor: 4.071

10.  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

View more
  7 in total

1.  Multiple anatomy optimization of accumulated dose.

Authors:  W Tyler Watkins; Joseph A Moore; James Gordon; Geoffrey D Hugo; Jeffrey V Siebers
Journal:  Med Phys       Date:  2014-11       Impact factor: 4.071

2.  Evaluating deviations in prostatectomy patients treated with IMRT.

Authors:  Ana Cravo Sá; Ana Peres; Mónica Pereira; Carina Marques Coelho; Fátima Monsanto; Ana Macedo; Adrian Lamas
Journal:  Rep Pract Oncol Radiother       Date:  2015-12-29

3.  Dose escalation in the definite target volume.

Authors:  W Tyler Watkins; Hamidreza Nourzadeh; Jeffrey V Siebers
Journal:  Med Phys       Date:  2020-05-11       Impact factor: 4.071

4.  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

Review 5.  Target margins in radiotherapy of prostate cancer.

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

6.  Coping with interfraction time trends in tumor setup.

Authors:  Marta K Giżyńska; Paweł F Kukołowicz; Ben J M Heijmen
Journal:  Med Phys       Date:  2019-12-10       Impact factor: 4.071

7.  Voxel-level biological optimisation of prostate IMRT using patient-specific tumour location and clonogen density derived from mpMRI.

Authors:  E J Her; A Haworth; H M Reynolds; Y Sun; A Kennedy; V Panettieri; M Bangert; S Williams; M A Ebert
Journal:  Radiat Oncol       Date:  2020-07-13       Impact factor: 3.481

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.