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

Moore, Joseph A.; Gordon, J.; Anscher, Mitchell S.; Silva, Joaquín; Siebers, Jeffrey V.

doi:10.1118/1.3679856

Cited by 12 publications

(17 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A probabilistic treatment planning was shown to improve conformality and decrease "dosimetric" margin defined as the specific isodose line compared with standard plan. [119][120][121][122] Barriers to implementing such probabilistic planning techniques include incorporating such algorithms into commercial treatment planning platforms, determination of accurate input parameters into such algorithms (also necessary for traditional margin calculation "recipes") and validation of the safety and efficacy of such plans in clinical cohorts.…”

Section: Margin Calculationsmentioning

confidence: 99%

Target margins in radiotherapy of prostate cancer

Yartsev

2016

BJR

View full text Add to dashboard Cite

We reviewed the literature on the use of margins in radiotherapy of patients with prostate cancer, focusing on different options for image guidance (IG) and technical issues. The search in PubMed database was limited to include studies that involved external beam radiotherapy of the intact prostate. Post-prostatectomy studies, brachytherapy and particle therapy were excluded. Each article was characterized according to the IG strategy used: positioning on external marks using room lasers, bone anatomy and soft tissue match, usage of fiducial markers, electromagnetic tracking and adapted delivery. A lack of uniformity in margin selection among institutions was evident from the review. In general, introduction of pre- and in-treatment IG was associated with smaller planning target volume (PTV) margins, but there was a lack of definitive experimental/clinical studies providing robust information on selection of exact PTV values. In addition, there is a lack of comparative research regarding the cost-benefit ratio of the different strategies: insertion of fiducial markers or electromagnetic transponders facilitates prostate gland localization but at a price of invasive procedure; frequent pre-treatment imaging increases patient in-room time, dose and labour; online plan adaptation should improve radiation delivery accuracy but requires fast and precise computation. Finally, optimal protocols for quality assurance procedures need to be established.

show abstract

Section: Margin Calculationsmentioning

confidence: 99%

Target margins in radiotherapy of prostate cancer

Yartsev

2016

BJR

View full text Add to dashboard Cite

show abstract

“…Registration error will propagate into MAO dosimetric errors if evaluated in high dose-gradient regions 33 and many studies have evaluated registration error for the Demons algorithm 34 and for DIR in general. 35 MAO has been integrated with methods to optimize margins to account for both random 36 and systematic 37 geometric errors which also must be considered prior to clinical implementation. Until geometric uncertainties and the corresponding effects on dosemapping are quantified, the appropriate level of dose heterogeneity within the ITV is unknown.…”

Section: Discussionmentioning

confidence: 99%

Multiple anatomy optimization of accumulated dose

et al. 2014

Self Cite

View full text Add to dashboard Cite

show abstract

“…With increasing speed of computer power, the speed issue could fade away to the favor of MC, but there are competing demands for massive number crunching in treatment planning. The most demanding is to replace the current static representations of the patient for probabilistic distributions as to enable optimization of probabilistic treatment goals based on simulations of literally hundred instances of the patient (Gordon et al, 2010;Moore et al, 2012). Essentially, the goal of these efforts is to better deal with geometric uncertainties, and the exploration of these opportunities might require some trade-offs to be made on the dosimetric accuracy.…”

Section: Monte Carlomentioning

confidence: 99%