Literature DB >> 18258382

Radiation dose prescription for non-small-cell lung cancer according to normal tissue dose constraints: an in silico clinical trial.

Angela van Baardwijk1, Geert Bosmans, Søren M Bentzen, Liesbeth Boersma, André Dekker, Rinus Wanders, Bradly G Wouters, Philippe Lambin, Dirk De Ruysscher.   

Abstract

PURPOSE: Local tumor recurrence remains a major problem in patients with inoperable non-small-cell lung cancer undergoing radiotherapy. We investigated the theoretical gain in the estimated tumor control probability (TCP) using an individualized maximal tolerable dose (MTD) prescription, for both conventional and accelerated fractionation schemes. METHODS AND MATERIALS: For 64 non-small-cell lung cancer patients, five treatment plans were compared, dependent on the normal tissue dose constraints for the lung and spinal cord. The first two used a classic fractionation (2 Gy/d, 5 d/wk) to a total dose of 60 Gy (QD(classic)) or determined by the individualized MTD (QD(MTD)). The third scheme assumed a hypofractionated schedule of 2.75-Gy fractions (QD(hypofr)). The fourth and fifth assumed hyperfractionation and acceleration (1.8 Gy twice daily, either BID(classic) or BID(MTD)). The TCPs for the groups of patients were estimated.
RESULTS: The mean biologic equivalent dose in 2-Gy fractions for tumor, corrected for accelerated repopulation was significantly greater for the BID(MTD) scheme (62.1 Gy) than for any other scheme (QD(classic), 47.5 Gy; QD(MTD), 52.0 Gy; QD(hypofr), 56.9 Gy; and BID(classic), 56.9 Gy; p < 0.001). Although both dose-escalation (QD(MTD)) and hypofractionation (QD(hypofr)) resulted in an increase in the mean estimated TCP of 5.6% (p < 0.001) and 14.6% (p < 0.001), respectively, compared with QD(classic), the combination of escalation and acceleration (BID(MTD)) improved the mean estimated TCP by 26.4% (p < 0.001).
CONCLUSION: The results of this planning study showed a large gain in the estimated TCP using an MTD scheme with 1.8-Gy fractions BID compared with other fractionation schedules. Clinical studies implementing this concept are ongoing.

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Year:  2008        PMID: 18258382     DOI: 10.1016/j.ijrobp.2007.11.028

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


  21 in total

1.  Should patient setup in lung cancer be based on the primary tumor? An analysis of tumor coverage and normal tissue dose using repeated positron emission tomography/computed tomography imaging.

Authors:  Wouter van Elmpt; Michel Öllers; Philippe Lambin; Dirk De Ruysscher
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-11-17       Impact factor: 7.038

2.  An individualized radiation dose escalation trial in non-small cell lung cancer based on FDG-PET imaging.

Authors:  Marie Wanet; Antoine Delor; François-Xavier Hanin; Benoît Ghaye; Aline Van Maanen; Vincent Remouchamps; Christian Clermont; Samuel Goossens; John Aldo Lee; Guillaume Janssens; Anne Bol; Xavier Geets
Journal:  Strahlenther Onkol       Date:  2017-07-21       Impact factor: 3.621

3.  Objective assessment of the effects of tumor motion in radiation therapy.

Authors:  Yijun Ding; Harrison H Barrett; Matthew A Kupinski; Yevgeniy Vinogradskiy; Moyed Miften; Bernard L Jones
Journal:  Med Phys       Date:  2019-06-07       Impact factor: 4.071

4.  Accelerated radiotherapy and concurrent chemotherapy for patients with contralateral central or mediastinal lung cancer relapse after pneumonectomy.

Authors:  Christoph Pöttgen; Jehad Abu Jawad; Eleni Gkika; Lutz Freitag; Wolfgang Lübcke; Stefan Welter; Thomas Gauler; Martin Schuler; Wilfried Ernst Erich Eberhardt; Georgios Stamatis; Martin Stuschke
Journal:  J Thorac Dis       Date:  2015-03       Impact factor: 2.895

Review 5.  Functional and molecular image guidance in radiotherapy treatment planning optimization.

Authors:  Shiva K Das; Randall K Ten Haken
Journal:  Semin Radiat Oncol       Date:  2011-04       Impact factor: 5.934

6.  Radiobiologically guided optimisation of the prescription dose and fractionation scheme in radiotherapy using BioSuite.

Authors:  J Uzan; A E Nahum
Journal:  Br J Radiol       Date:  2012-03-28       Impact factor: 3.039

7.  Dose escalation for locally advanced lung cancer using adaptive radiation therapy with simultaneous integrated volume-adapted boost.

Authors:  Elisabeth Weiss; Mirek Fatyga; Yan Wu; Nesrin Dogan; Salim Balik; William Sleeman; Geoffrey Hugo
Journal:  Int J Radiat Oncol Biol Phys       Date:  2013-03-21       Impact factor: 7.038

8.  Single nucleotide polymorphism at rs1982073:T869C of the TGFbeta 1 gene is associated with the risk of radiation pneumonitis in patients with non-small-cell lung cancer treated with definitive radiotherapy.

Authors:  Xianglin Yuan; Zhongxing Liao; Zhensheng Liu; Li-E Wang; Susan L Tucker; Li Mao; Xin Shelley Wang; Mary Martel; Ritsuko Komaki; James D Cox; Luka Milas; Qingyi Wei
Journal:  J Clin Oncol       Date:  2009-04-20       Impact factor: 44.544

9.  Employing the therapeutic operating characteristic (TOC) graph for individualised dose prescription.

Authors:  Aswin L Hoffmann; Henk Huizenga; Johannes H A M Kaanders
Journal:  Radiat Oncol       Date:  2013-03-07       Impact factor: 3.481

10.  A novel radiation-induced p53 mutation is not implicated in radiation resistance via a dominant-negative effect.

Authors:  Yunguang Sun; Carey Jeanne Myers; Adam Paul Dicker; Bo Lu
Journal:  PLoS One       Date:  2014-02-18       Impact factor: 3.240

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