Literature DB >> 12377346

Tumor control probability for selective boosting of hypoxic subvolumes, including the effect of reoxygenation.

Richard A Popple1, Roger Ove, Sui Shen.   

Abstract

PURPOSE: To study the effect on tumor control probability of selectively boosting the dose to hypoxic subvolumes. METHODS AND MATERIALS: A Monte Carlo model was developed that separates the tumor into two compartments, one of which receives a primary dose, and one of which receives a higher boost dose. During radiation delivery, each compartment consists of three clonogen subpopulations: those that are well oxygenated, those that are temporarily hypoxic (geometrically transient hypoxia), and those that are permanently hypoxic (geometrically stable hypoxia). The spatial location of temporary hypoxia within the tumor volume varies over time, whereas, the spatial location of permanent hypoxia does not. The effect of reoxygenation was included. Clonogen proliferation was not included in the model.
RESULTS: A modest boost dose (120%-150% of the primary dose) increases tumor control probability to that found in the absence of permanent hypoxia. The entire hypoxic subvolume need not be included to obtain a significant benefit. However, only tumors with a geometrically stable hypoxic volume will have an improved control rate.
CONCLUSIONS: Tumors with an identifiable geometrically stable hypoxic volume will have an improved control rate if the dose to the hypoxic volume is escalated. Further work is required to determine the spatiotemporal evolution of the hypoxic volumes before and during the course of radiotherapy.

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Year:  2002        PMID: 12377346     DOI: 10.1016/s0360-3016(02)03007-9

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


  26 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.  On the radiobiological impact of metal artifacts in head-and-neck IMRT in terms of tumor control probability (TCP) and normal tissue complication probability (NTCP).

Authors:  Yusung Kim; Wolfgang A Tomé
Journal:  Med Biol Eng Comput       Date:  2007-06-16       Impact factor: 2.602

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

5.  Broadening the scope of image-guided radiotherapy (IGRT).

Authors:  Carlo Greco; C Clifton Ling
Journal:  Acta Oncol       Date:  2008       Impact factor: 4.089

6.  Dosimetry study of 18F-FMISO + PET/CT hypoxia imaging guidance on intensity-modulated radiation therapy for non-small cell lung cancer.

Authors:  H Li; D Xu; X Han; Q Ruan; X Zhang; Y Mi; M Dong; S Guo; Y Lin; B Wang; G Li
Journal:  Clin Transl Oncol       Date:  2018-04-05       Impact factor: 3.405

7.  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

8.  Potential of [18F]-fluoromisonidazole positron-emission tomography for radiotherapy planning in head and neck squamous cell carcinomas.

Authors:  B Henriques de Figueiredo; T Merlin; H de Clermont-Gallerande; M Hatt; D Vimont; P Fernandez; F Lamare
Journal:  Strahlenther Onkol       Date:  2013-11-01       Impact factor: 3.621

Review 9.  Molecular imaging of tumor hypoxia with positron emission tomography.

Authors:  Olivia J Kelada; David J Carlson
Journal:  Radiat Res       Date:  2014-03-27       Impact factor: 2.841

10.  Modeling acute and chronic hypoxia using serial images of 18F-FMISO PET.

Authors:  Kelin Wang; Ellen Yorke; Sadek A Nehmeh; John L Humm; C Clifton Ling
Journal:  Med Phys       Date:  2009-10       Impact factor: 4.071

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