Considerations of target surface area and the risk of radiosurgical toxicity
Autoři:
Strahinja Stojadinovic aff001; Yulong Yan aff001; Andrew Leiker aff001; Chul Ahn aff002; Zabi Wardak aff001; Tu Dan aff001; Lucien Nedzi aff001; Robert Timmerman aff001; Toral Patel aff003; Samuel Barnett aff003; Bruce Mickey aff003; Jeffrey Meyer aff004
Působiště autorů:
Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
aff001; Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
aff002; Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX, United States of America
aff003; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
aff004
Vyšlo v časopise:
PLoS ONE 14(10)
Kategorie:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0224047
Souhrn
Objective
The goal of this study was to explore conceptual benefits of characterizing delineated target volumes based on surface area and to utilize the concept for assessing risk of therapeutic toxicity in radiosurgery.
Methods and materials
Four computer-generated targets, a sphere, a cylinder, an ellipsoid and a box, were designed for two distinct scenarios. In the first scenario, all targets had identical volumes, and in the second one, all targets had identical surface areas. High quality stereotactic radiosurgery plans with at least 95% target coverage and selectivity were created for each target in both scenarios. Normal brain volumes V12Gy, V14Gy and V16Gy corresponding to received dose of 12 Gy, 14 Gy and 16 Gy, respectively, were computed and analyzed. Additionally, V12Gy and V14Gy volumes and values for seven prospective toxicity variables were recorded for 100 meningioma patients after Gamma Knife radiosurgery. Multivariable stepwise linear regression and best subset linear regression analyses were performed in two statistical software packages, SAS/STAT and R, respectively.
Results
In a phantom study, for the constant volume targets, the volumes of 12 Gy, 14 Gy and 16 Gy isodose clouds were the lowest for the spherical target as an expected corollary of the isoperimetric inequality. For the constant surface area targets, a conventional wisdom is confirmed, as the target volume increases the corresponding volumes V12Gy, V14Gy and V16Gy also increase. In the 100-meningioma patient cohort, the best univariate model featured tumor surface area as the most significantly associated variable with both V12Gy and V14Gy volumes, corresponding to the adjusted R2 values of 0.82 and 0.77, respectively. Two statistical methods converged to matching multivariable models.
Conclusions
In a univariate model, target surface area is a better predictor of spilled dose to normal tissue than target largest dimension or target volume itself. In complex multivariate models, target surface area is an independent variable for modeling radiosurgical normal tissue toxicity risk.
Klíčová slova:
Cancer treatment – Dose prediction methods – Meningioma – Predictive toxicology – Radiation therapy – Toxicity – Gamma Knife radiosurgery
Zdroje
1. Landberg T, Chavaudra J, Dobbs J, Hanks G, Johansson KA, Möller T, et al. ICRU Report 50: Prescribing, Recording and Reporting Photon Beam Therapy. Journal of the International Commission on Radiation Units and Measurements. 1994(1):1–72.
2. Landberg T, Chavaudra J, Dobbs J, Gerard JP, Hanks G, Horiot JC, et al. ICRU Report 62: Prescribing, Recording and Reporting Photon Beam Therapy (Supplement to ICRU Report 50). Journal of the International Commission on Radiation Units and Measurements. 1999(1):1–52.
3. Gahbauer R, Landberg T, Chavaudra J, Dobbs J, Gupta N, Hanks G, et al. ICRU Report 71: Prescribing, Recording, and Reporting Electron Beam Therapy. Journal of the International Commission on Radiation Units and Measurements. 2004;4(1):1–100.
4. Jones DTL, Suit HD, Akine Y, Goitein G, Goitein M, Kanematsu N, et al. ICRU Report 78: Prescribing Recording and Reporting Proton Beam Therapy. Journal of the International Commission on Radiation Units and Measurements. 2007;7(2):1–210. doi: 10.1093/jicru/ndm022
5. Grégoire V, Mackie TR, De Neve W, Gospodarowicz M, Purdy JA, van Herk M, et al. ICRU Report 83: Prescribing, Recording, and Reporting Photon-Beam Intensity-Modulated Radiation Therapy (IMRT). Journal of the International Commission on Radiation Units and Measurements. 2014;14(2).
6. Pötter R, Kirisits C, Erickson B, Haie-Meder C, Van Limbergen E, Lindegaard JC, et al. ICRU Report 89: Prescribing Recording and Reporting Brachytherapy for Cancer of the Cervix. Journal of the International Commission on Radiation Units and Measurements. 2013;13(1–2):1–258. doi: 10.1093/jicru/ndw004
7. Seuntjens J, Lartigau EF, Cora S, Ding GX, Goetsch S, Nuyttens J, et al. ICRU Report 91: Prescribing Recording and Reporting of Stereotactic Treatments with Small Photon Beams. Journal of the International Commission on Radiation Units and Measurements. 2014;14(2):1–160.
8. Emami B, Lyman J, Brown A, Cola L, Goitein M, Munzenrider JE, et al. Tolerance of normal tissue to therapeutic irradiation. International Journal of Radiation Oncology*Biology*Physics. 1991;21(1):109–22.
9. Bentzen SM, Constine LS, Deasy JO, Eisbruch A, Jackson A, Marks LB, et al. Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC): an introduction to the scientific issues. Int J Radiat Oncol Biol Phys. 2010;76(3 Suppl):S3–9.
10. Bhandare N, Jackson A, Eisbruch A, Pan CC, Flickinger JC, Antonelli P, et al. Radiation therapy and hearing loss. Int J Radiat Oncol Biol Phys. 2010;76(3 Suppl):S50–7.
11. Kirkpatrick JP, van der Kogel AJ, Schultheiss TE. Radiation dose-volume effects in the spinal cord. Int J Radiat Oncol Biol Phys. 2010;76(3 Suppl):S42–9.
12. Lawrence YR, Li XA, el Naqa I, Hahn CA, Marks LB, Merchant TE, et al. Radiation dose-volume effects in the brain. Int J Radiat Oncol Biol Phys. 2010;76(3 Suppl):S20–7.
13. Mayo C, Martel MK, Marks LB, Flickinger J, Nam J, Kirkpatrick J. Radiation dose-volume effects of optic nerves and chiasm. Int J Radiat Oncol Biol Phys. 2010;76(3 Suppl):S28–35.
14. Mayo C, Yorke E, Merchant TE. Radiation associated brainstem injury. Int J Radiat Oncol Biol Phys. 2010;76(3 Suppl):S36–41.
15. Shaw E, Scott C, Souhami L, Dinapoli R, Bahary JP, Kline R, et al. Radiosurgery for the treatment of previously irradiated recurrent primary brain tumors and brain metastases: Initial report of radiation therapy oncology group protocol 90–05. Int J Radiat Oncol. 1996;34(3):647–54.
16. Blåsjö V. The isoperimetric problem. Am Math Mon. 2005;112(6):526–66.
17. Yan Y, Dou Y, Weng X, Wallin A. SU-GG-T-256: An Enhanced DICOM-RT Viewer. Medical Physics. 2010;37(6Part19):3244–.
18. Yan Y, Timmerman R. SU-E-FS2-04: Development and Validation of a Comprehensive Remote Review Tool for Treatment Planning Quality Assurance for Multicenter Clinical Trials. Medical Physics. 2017;44(6):2727.
19. Paddick I. A simple scoring ratio to index the conformity of radiosurgical treatment plans. Technical note. J Neurosurg. 2000;93 Suppl 3(supplement 3):219–22.
20. Paddick I, Lippitz B. A simple dose gradient measurement tool to complement the conformity index. J Neurosurg. 2006;105 Suppl(7):194–201.
21. Korytko T, Radivoyevitch T, Colussi V, Wessels BW, Pillai K, Maciunas RJ, et al. 12 Gy gamma knife radiosurgical volume is a predictor for radiation necrosis in non-AVM intracranial tumors. Int J Radiat Oncol Biol Phys. 2006;64(2):419–24. doi: 10.1016/j.ijrobp.2005.07.980 16226848
22. SAS/STAT. SAS https://www.sas.com. SAS Institute, Inc, Cary, NC. 2014.
23. R. Studio Team. R Studio: Integrated Development for R http://www.rstudio.com/. RStudio, Inc, Boston, MA. 2015.
24. Laidler KJ. Chemical-Kinetics and the Origins of Physical-Chemistry. Archive for History of Exact Sciences. 1985;32(1):43–75.
25. Helander HF, Fandriks L. Surface area of the digestive tract—revisited. Scand J Gastroenterol. 2014;49(6):681–9. doi: 10.3109/00365521.2014.898326 24694282
26. Leathem JG. Volume and Surface Integrals Used in Physics Cambridge, England: University Press; 1905.
27. Maxwell JC. A Treatise on Electricity and Magnetism. Unabridged Third ed. New York: Dover Publications, Inc.; 1954.
28. Bekenstein JD. Black Holes and Entropy. Physical Review D. 1973;7(8):2333–46.
29. Sethi RA, Rush SC, Liu S, Sethi SA, Parker E, Donahue B, et al. Dose-Response Relationships for Meningioma Radiosurgery. American Journal of Clinical Oncology. 2015;38(6):600–4. doi: 10.1097/COC.0000000000000008 26595685
Článek vyšel v časopise
PLOS One
2019 Číslo 10
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