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International Journal of Radiation Biology Volume 99, 2023 - Issue 4
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Original Articles

The use of the normal tissue non-complication probability (NTCP0) in the safety evaluations as a new alternative of assessing the side-effects of the radiation oncology treatments

Terman Frometa-Castilloa Owner at Statistical models project, LLC, Chicago, IL, USACorrespondence[email protected]
View further author information
,
Anil Pyakuryalb Division of Science and Mathematics, University of District of Columbia, Washington, DC, USAView further author information
,
Ganesh Narayanasamyc Department of Radiation Oncology, University of Arkansas for Medical Sciences, Little Rock, AR, USAView further author information
,
Amadeo Wals-Zuritad Hospital Universitario Virgen Macarena, Sevilla, SpainView further author information
&
Asghar Mesbahie Tabriz University of Medical Sciences, Tabriz, IranView further author information
Pages 656-662 | Received 13 Jul 2021, Accepted 26 Jul 2022, Published online: 15 Aug 2022

References

  • Chaikh A, Docquière N, Bondiau P, Balosso J. 2016. Impact of dose calculation models on radiotherapy outcomes and quality adjusted life years for lung cancer treatment: do we need to measure radiotherapy outcomes to tune the radiobiological parameters of a normal tissue complication probability model? Transl Lung Cancer Res. 5(6):673–680.
  • Frometa-Castillo T, Pyakuryal A, Wals-Zurita A, Mesbahi A. 2020. Proposals of models for new formulations of the current complication-free cure (P+) and uncomplicated tumor control probability (UTCP) concepts, and total normal tissue complication probability of late complications. Int J Radiat Biol. 96(7):847–850.
  • Frometa-Castillo T, Pyakuryal A, Wals-Zurita A, Mesbahi A. 2020a. Computational simulations of similar probabilistic distributions to the binomial and Poisson distributions. Preprints, 2020010065. https://doi.org/10.20944/preprints202001.0065.v1
  • Frometa-Castillo T, Pyakuryal A, Wals-Zurita A, Mesbahi A. 2020b. The mathematical, probabilistic and computational generators of discrete probabilistic distributions applied to medical physics. MPI Vol 8 No. 3. 2020; Available from: http://www.mpijournal.org/pdf/2020-03/MPI-2020-03-p491.pdf.
  • Frometa-Castillo T, Pyakuryal A, Narayanasamy G, Wals-Zurita A, Mesbahi A, Piseaux-Aillon R. 2020. Computational simulator that calculates tumor control probability (TCP) in a tumor heterogeneously irradiated for fractionated radiation oncology treatments. (Accepted for publishing in Simulation: Transactions of the Society for Modeling and Simulation International).
  • Gagliardi G, Constine LS, Moiseenko V, Correa C, Pierce LJ, Allen AM, Marks LB. 2010. Radiation dose-volume effects in the heart. Int J. Radiation Oncology Biol. Phys. 76(3):S77–S85.,. supplement2010.
  • GitLab repository. 2020. [accessed 2022 Jul 17]. https://gitlab.com/tfrometa/ntcp0cal/-/blob/master/NTCP0cal
  • Lawrence YR, Li XA, El Naqa I, et al. 2010. Radiation dose-volume effects in the brain. Int J. Radiation Oncology Biol. Phys. 76(3):S77–S85.
  • Luo R, Wu VWC, He B, Gao X, Xu Z, Wang D, Yang Z, Li M, Lin Z. 2018. Development of a normal tissue complication probability (NTCP) model for radiation-induced hypothyroidism in nasopharyngeal carcinoma patients. BMC Cancer. 18(1):575.
  • Michalski D, Huq MS, Hasson BF. 2013. Normal Tissue Complication Probability (NTCP). In: Brady L.W., Yaeger T.E. (eds) Encyclopedia of Radiation Oncology. Springer, Berlin, Heidelberg. Available in https://link.springer.com/referenceworkentry/10.1007/978-3-540-85516-3_341.
  • Report of AAPM TG-166 2012. The Use and QA of biologically related models for treatment planning.

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