Literature DB >> 29480933

Technical Note: A planning technique to lower normal tissue toxicity in lung SBRT plans based on two likely dependent RTOG metrics.

Ganesh Narayanasamy1, Dharmin Desai2, Steven Morrill1, Xin Zhang1, Edvaldo Galhardo1, Sanjay Maraboyina1, Jose Penagaricano1.   

Abstract

PURPOSE: Intermediate- and low-dose falloff in stereotactic body radiotherapy (SBRT) of lung tumor is known to relate to normal tissue toxicity. The purpose is twofold to analyze the relation between RTOG parameters (namely, R50%, D2cm) in lung SBRT plans and to explore planning methods that correlate with higher than acceptable dose to normal tissue.
METHODS: RTOG recommended target dose coverage, conformity index, homogeneity index, R50%, and D2cm were evaluated retrospectively in 105 lung tumor SBRT plans. Deviations in R50% and D2cm were correlated with parameters including prescription dose, tumor location, number of beams or arcs, beam configuration (coplanar or noncoplanar), type of treatment plan (3D-CRT, IMRT or volumetric arc therapy), and shortest distance to the chest wall. RESULT: All plans met the target coverage, conformity index, homogeneity index, and critical organ dose tolerance objectives. Dose falloff product (DFP) of R50% and D2cm has a small variance and small dependence on PTV. Low correlation between DFP and PTV suggests that R50% and D2cm are not independent. Coplanar beam placement was found to be prevalent among plans with large deviations in R50%, D2cm.
CONCLUSION: This study questions the independence of the two RTOG recommended metrics, R50% and D2cm in lung SBRT plans, and suggests that noncoplanar beams may provide better normal tissue sparing by reducing the intermediate dose falloff.
© 2018 American Association of Physicists in Medicine.

Entities:  

Keywords:  dose falloff; dose gradient; lung SBRT; normal tissue toxicity

Mesh:

Year:  2018        PMID: 29480933     DOI: 10.1002/mp.12833

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


  5 in total

1.  Cleaning the dose falloff in lung SBRT plan.

Authors:  Dharmin Desai; Ganesh Narayanasamy; Milan Bimali; Ivan Cordrey; Hisham Elasmar; Senthamizhchelvan Srinivasan; Ellis Lee Johnson
Journal:  J Appl Clin Med Phys       Date:  2020-12-07       Impact factor: 2.102

2.  Lung Stereotactic Body Radiation Therapy (SBRT) dose gradient and PTV volume: a retrospective multi-center analysis.

Authors:  David Hoffman; Irena Dragojević; Jeremy Hoisak; David Hoopes; Ryan Manger
Journal:  Radiat Oncol       Date:  2019-09-03       Impact factor: 3.481

3.  Robust Optimization of SBRT Planning for Patients With Early Stage Non-Small Cell Lung Cancer.

Authors:  Haijiao Shang; Yuehu Pu; Yuenan Wang
Journal:  Technol Cancer Res Treat       Date:  2020 Jan-Dec

4.  How Does the Gradient Measure of the Lung SBRT Treatment Plan Depend on the Tumor Volume and Shape?

Authors:  Yanhua Duan; Yang Lin; Hao Wang; Bodong Kang; Aihui Feng; Kui Ma; Hua Chen; Ying Huang; Hengle Gu; Yan Shao; Tao Zhou; Qing Kong; Zhiyong Xu
Journal:  Front Oncol       Date:  2021-11-15       Impact factor: 6.244

5.  An analytical expression for R50% dependent on PTV surface area and volume: a lung SBRT comparison.

Authors:  Dharmin D Desai; E L Johnson; Ivan L Cordrey
Journal:  J Appl Clin Med Phys       Date:  2020-09-30       Impact factor: 2.243

  5 in total

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