Literature DB >> 18825382

Linear quadratic and tumour control probability modelling in external beam radiotherapy.

S F C O'Rourke1, H McAneney, T Hillen.   

Abstract

The standard linear-quadratic (LQ) survival model for external beam radiotherapy is reviewed with particular emphasis on studying how different schedules of radiation treatment planning may be affected by different tumour repopulation kinetics. The LQ model is further examined in the context of tumour control probability (TCP) models. The application of the Zaider and Minerbo non-Poissonian TCP model incorporating the effect of cellular repopulation is reviewed. In particular the recent development of a cell cycle model within the original Zaider and Minerbo TCP formalism is highlighted. Application of this TCP cell-cycle model in clinical treatment plans is explored and analysed.

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Year:  2008        PMID: 18825382     DOI: 10.1007/s00285-008-0222-y

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  89 in total

1.  Radiation carcinogenesis modelling for risk of treatment-related second tumours following radiotherapy.

Authors:  K A Lindsay; E G Wheldon; C Deehan; T E Wheldon
Journal:  Br J Radiol       Date:  2001-06       Impact factor: 3.039

2.  Histogram reduction method for calculating complication probabilities for three-dimensional treatment planning evaluations.

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3.  Calculation of normal tissue complication probability and dose-volume histogram reduction schemes for tissues with a critical element architecture.

Authors:  A Niemierko; M Goitein
Journal:  Radiother Oncol       Date:  1991-03       Impact factor: 6.280

Review 4.  The linear-quadratic transformation of dose-volume histograms in fractionated radiotherapy.

Authors:  T E Wheldon; C Deehan; E G Wheldon; A Barrett
Journal:  Radiother Oncol       Date:  1998-03       Impact factor: 6.280

5.  The repair-misrepair model in radiobiology: comparison to other models.

Authors:  C A Tobias
Journal:  Radiat Res Suppl       Date:  1985

6.  Comments on the distribution of clonogens in irradiated tumors.

Authors: 
Journal:  Radiat Res       Date:  1993-04       Impact factor: 2.841

7.  Repair halftimes estimated from observations of treatment-related morbidity after CHART or conventional radiotherapy in head and neck cancer.

Authors:  S M Bentzen; M I Saunders; S Dische
Journal:  Radiother Oncol       Date:  1999-12       Impact factor: 6.280

8.  The effect of tissue-specific growth patterns of target stem cells on the spectrum of tumours resulting from multistage tumorigenesis.

Authors:  J H Mao; K A Lindsay; R J Mairs; T E Wheldon
Journal:  J Theor Biol       Date:  2001-05-07       Impact factor: 2.691

9.  A model for calculating tumour control probability in radiotherapy including the effects of inhomogeneous distributions of dose and clonogenic cell density.

Authors:  S Webb; A E Nahum
Journal:  Phys Med Biol       Date:  1993-06       Impact factor: 3.609

10.  Time-dependent tumour repopulation factors in linear-quadratic equations--implications for treatment strategies.

Authors:  R G Dale
Journal:  Radiother Oncol       Date:  1989-08       Impact factor: 6.280

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  20 in total

Review 1.  Radiation dose effect in locally advanced non-small cell lung cancer.

Authors:  Feng-Ming Spring Kong; Jing Zhao; Jingbo Wang; Corrine Faivre-Finn
Journal:  J Thorac Dis       Date:  2014-04       Impact factor: 2.895

2.  Optimal solution for a cancer radiotherapy problem.

Authors:  A Bertuzzi; C Bruni; F Papa; C Sinisgalli
Journal:  J Math Biol       Date:  2013-01       Impact factor: 2.259

3.  Proliferation saturation index in an adaptive Bayesian approach to predict patient-specific radiotherapy responses.

Authors:  Enakshi D Sunassee; Dean Tan; Nathan Ji; Renee Brady; Eduardo G Moros; Jimmy J Caudell; Slav Yartsev; Heiko Enderling
Journal:  Int J Radiat Biol       Date:  2019-03-19       Impact factor: 2.694

4.  Extracting the normal lung dose-response curve from clinical DVH data: a possible role for low dose hyper-radiosensitivity, increased radioresistance.

Authors:  J J Gordon; K Snyder; H Zhong; K Barton; Z Sun; I J Chetty; M Matuszak; R K Ten Haken
Journal:  Phys Med Biol       Date:  2015-08-21       Impact factor: 3.609

5.  Mechanistic modelling of prostate-specific antigen dynamics shows potential for personalized prediction of radiation therapy outcome.

Authors:  Guillermo Lorenzo; Víctor M Pérez-García; Alfonso Mariño; Luis A Pérez-Romasanta; Alessandro Reali; Hector Gomez
Journal:  J R Soc Interface       Date:  2019-08-14       Impact factor: 4.118

6.  Datamining approaches for modeling tumor control probability.

Authors:  Issam El Naqa; Joseph O Deasy; Yi Mu; Ellen Huang; Andrew J Hope; Patricia E Lindsay; Aditya Apte; James Alaly; Jeffrey D Bradley
Journal:  Acta Oncol       Date:  2010-03-02       Impact factor: 4.089

7.  Repopulation of interacting tumor cells during fractionated radiotherapy: stochastic modeling of the tumor control probability.

Authors:  Hatim Fakir; Lynn Hlatky; Huamin Li; Rainer Sachs
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

8.  Choline PET based dose-painting in prostate cancer--modelling of dose effects.

Authors:  Maximilian Niyazi; Peter Bartenstein; Claus Belka; Ute Ganswindt
Journal:  Radiat Oncol       Date:  2010-03-18       Impact factor: 3.481

9.  Efficacy of dose escalation on TCP, recurrence and second cancer risks: a mathematical study.

Authors:  V S K Manem; A Dhawan; M Kohandel; S Sivaloganathan
Journal:  Br J Radiol       Date:  2014-09-11       Impact factor: 3.039

10.  Optimal weekly scheduling in fractionated radiotherapy: effect of an upper bound on the dose fraction size.

Authors:  C Bruni; F Conte; F Papa; C Sinisgalli
Journal:  J Math Biol       Date:  2014-08-29       Impact factor: 2.259

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