Literature DB >> 8482624

Dose, volume, and tumor-control predictions in radiotherapy.

D J Brenner1.   

Abstract

PURPOSE: Tumor volume has a profound influence on the dose required to control a given type of tumor. The most obvious explanation for this is related to the larger number of stem cells which must be sterilized, leading to a more stringent requirement on cell survival. There are, however, other mechanisms by which volume may influence tumor control, such as clonogenic fraction, oxygenation or inter-cellular communication. We investigate the question of whether the effect of volume on tumor control is, in general, predictable on the basis solely of the differing number of stem cells. METHODS AND MATERIALS: We investigate whether the effect of volume on tumor control in four sites can be predicted, using the linear-quadratic formalism, based on the assumption that the number of cells that must be sterilized is directly proportional to the tumor volume. We require that the biological parameters in the model should have plausible values.
RESULTS: We find that the results of four clinical data sets, exhibiting a wide range of doses, volumes, and tumor control rates, are consistent with the hypothesis that the number of potential stem cells which must be sterilized is proportional to the tumor volume.
CONCLUSIONS: If these considerations are correct, the potential exists that realistic radiobiologically-based dose corrections for tumor size could be routinely made. This applies both to an entire treatment, and also between fractions, as the tumor shrinks. Such an approach may contribute towards optimized radiotherapy.

Entities:  

Mesh:

Year:  1993        PMID: 8482624     DOI: 10.1016/0360-3016(93)90189-3

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  33 in total

1.  Diffusion weighted imaging in predicting progression free survival in patients with squamous cell carcinomas of the head and neck treated with induction chemotherapy.

Authors:  Su Berrak; Sanjeev Chawla; Sungheon Kim; Harry Quon; Eric Sherman; Laurie A Loevner; Harish Poptani
Journal:  Acad Radiol       Date:  2011-08-10       Impact factor: 3.173

2.  Prognostic value of tumor volume for patients with nasopharyngeal carcinoma treated with concurrent chemotherapy and intensity-modulated radiotherapy.

Authors:  Zheng Wu; Yong Su; Rui-Fang Zeng; Mo-Fa Gu; Shao-Min Huang
Journal:  J Cancer Res Clin Oncol       Date:  2013-10-31       Impact factor: 4.553

Review 3.  Linear quadratic and tumour control probability modelling in external beam radiotherapy.

Authors:  S F C O'Rourke; H McAneney; T Hillen
Journal:  J Math Biol       Date:  2008-09-30       Impact factor: 2.259

4.  [A reply to the comment by K. R. Trott in Strahlenther. Onkol. 173 (1997), 146-147 on the article by Strnad et al.: "The regression of Yoshida sarcoma during normoxia and hypoxia after fractionated irradiation" in Strahlenther. Onkol. 173 (1997), 141-145].

Authors:  F Kamprad
Journal:  Strahlenther Onkol       Date:  1997-05       Impact factor: 3.621

5.  Combining advanced radiotherapy technologies to maximize safety and tumor control probability in stage III non-small cell lung cancer.

Authors:  M Guckenberger; A Kavanagh; M Partridge
Journal:  Strahlenther Onkol       Date:  2012-08-31       Impact factor: 3.621

6.  A note on modeling of tumor regression for estimation of radiobiological parameters.

Authors:  Hualiang Zhong; Indrin Chetty
Journal:  Med Phys       Date:  2014-08       Impact factor: 4.071

7.  Tumour volumes: Predictors of early treatment response in locally advanced head and neck cancers treated with definitive chemoradiation.

Authors:  Parveen Ahlawat; Sheh Rawat; Anjali Kakria; Manoj Pal; Deepika Chauhan; Sarthak Tandon; Shraddha Jain
Journal:  Rep Pract Oncol Radiother       Date:  2016-05-05

8.  Prognostic value of tumor volume in nasopharyngeal carcinoma.

Authors:  Jeong-Hyun Kim; Joon-Kyoo Lee
Journal:  Yonsei Med J       Date:  2005-04-30       Impact factor: 2.759

9.  Is there a selection bias in radiotherapy dose-escalation protocols?

Authors:  Elisabeth Weiss; Viswanathan Ramakrishnan; Paul J Keall
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-05-07       Impact factor: 7.038

Review 10.  Tumour volume measurement in head and neck cancer.

Authors:  Vincent F H Chong
Journal:  Cancer Imaging       Date:  2007-10-01       Impact factor: 3.909

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