Literature DB >> 10974480

Selective boosting of tumor subvolumes.

W A Tomé1, J F Fowler.   

Abstract

PURPOSE AND
BACKGROUND: It is no longer considered mandatory to deliver a uniform dose to the tumor volume in radiotherapy. Non-uniform doses are unavoidable in brachytherapy and in stereotactic radiosurgery, with often good results. Deliberately non-uniform doses may increase tumor control probability (TCP) and enable steeper dose gradients outside the treated volume to be achieved. New methods of tumor imaging might show regions of specific activity or hypoxia which could be selectively targeted. This paper investigates by modeling the effect of boosting, by dose ratios up to 2, for a range of tumor subvolumes. METHODS AND MATERIALS: A standard linear-quadratic algorithm was used to define the dose-response curve for tumors of various volumes (numbers of clonogenic cells), radiosensitivity (SF(2)), assumed slope (gamma(50)) and dose for 50% tumor control (TCD(50)). Curves of tumor control probability (TCP) were constructed to show the increase of TCP, as a function of the ratio of boost dose to the TCD(50), above the baseline 50% TCP, for a set of different proportions of tumor volume boosted.
RESULTS: Calculated values of TCP increased rapidly with both boost dose ratio and with proportion of volume boosted. The increase in TCP reached a plateau after boost dose ratios of 1.2-1.3, as has been noted before, except where very large proportions of tumor volume exceeding 90% were boosted. Quite large increases of TCP, to about 75%, could be achieved if the gamma(50) slope was steep, and especially in small tumors (having fewer cells). Radiosensitivity was not an independent factor because radiosensitive tumors had a low TCD(50) and this was the baseline dose considered as unity.
CONCLUSION: There were few situations where a boost dose ratio exceeding 1.3 appeared to be worthwhile or necessary. Significant increases of TCP, up from 50% to 75%, might therefore be achieved for a small increase in risk of necrosis, where a substantial proportion of tumor volume (60-80%) could be boosted.

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Mesh:

Year:  2000        PMID: 10974480     DOI: 10.1016/s0360-3016(00)00666-0

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


  33 in total

1.  On Voxel based Iso-Tumor Control Probabilty and Iso-Complication Maps for Selective Boosting and Selective Avoidance Intensity Modulated Radiotherapy.

Authors:  Yusung Kim; Wolfgang A Tomé
Journal:  Imaging Decis (Berl)       Date:  2008

2.  Risk-adaptive optimization: selective boosting of high-risk tumor subvolumes.

Authors:  Yusung Kim; Wolfgang A Tomé
Journal:  Int J Radiat Oncol Biol Phys       Date:  2006-12-01       Impact factor: 7.038

3.  Helical tomotherapy in patients with breast cancer and complex treatment volumes.

Authors:  Ricardo Cendales; Luis Schiappacasse; Franco Schnitman; Graciela García; Hugo Marsiglia
Journal:  Clin Transl Oncol       Date:  2011-04       Impact factor: 3.405

4.  On the impact of functional imaging accuracy on selective boosting IMRT.

Authors:  Y Kim; W A Tomé
Journal:  Phys Med       Date:  2008-01-18       Impact factor: 2.685

Review 5.  Balancing risk and reward in target delineation for highly conformal radiotherapy in head and neck cancer.

Authors:  Avraham Eisbruch; Vincent Gregoire
Journal:  Semin Radiat Oncol       Date:  2009-01       Impact factor: 5.934

6.  A dosimetric comparison between CyberKnife and tomotherapy treatment plans for single brain metastasis.

Authors:  Daniela Greto; Stefania Pallotta; Laura Masi; Cinzia Talamonti; Livia Marrazzo; Raffaella Doro; Calogero Saieva; Silvia Scoccianti; Isacco Desideri; Lorenzo Livi
Journal:  Radiol Med       Date:  2017-02-15       Impact factor: 3.469

7.  Is it beneficial to selectively boost high-risk tumor subvolumes? A comparison of selectively boosting high-risk tumor subvolumes versus homogeneous dose escalation of the entire tumor based on equivalent EUD plans.

Authors:  Yusung Kim; Wolfgang A Tome
Journal:  Acta Oncol       Date:  2008       Impact factor: 4.089

8.  Comparison of intensity modulated x-ray therapy and intensity modulated proton therapy for selective subvolume boosting: a phantom study.

Authors:  R T Flynn; D L Barbee; T R Mackie; R Jeraj
Journal:  Phys Med Biol       Date:  2007-10-01       Impact factor: 3.609

9.  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

10.  A method for partial volume correction of PET-imaged tumor heterogeneity using expectation maximization with a spatially varying point spread function.

Authors:  David L Barbee; Ryan T Flynn; James E Holden; Robert J Nickles; Robert Jeraj
Journal:  Phys Med Biol       Date:  2010-01-07       Impact factor: 3.609

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