Literature DB >> 16013703

Towards biologically conformal radiation therapy (BCRT): selective IMRT dose escalation under the guidance of spatial biology distribution.

Yong Yang1, Lei Xing.   

Abstract

It is well known that the spatial biology distribution (e.g., clonogen density, radiosensitivity, tumor proliferation rate, functional importance) in most tumors and sensitive structures is heterogeneous. Recent progress in biological imaging is making the mapping of this distribution increasingly possible. The purpose of this work is to establish a theoretical framework to quantitatively incorporate the spatial biology data into intensity modulated radiation therapy (IMRT) inverse planning. In order to implement this, we first derive a general formula for determining the desired dose to each tumor voxel for a known biology distribution of the tumor based on a linear-quadratic model. The desired target dose distribution is then used as the prescription for inverse planning. An objective function with the voxel-dependent prescription is constructed with incorporation of the nonuniform dose prescription. The functional unit density distribution in a sensitive structure is also considered phenomenologically when constructing the objective function. Two cases with different hypothetical biology distributions are used to illustrate the new inverse planning formalism. For comparison, treatments with a few uniform dose prescriptions and a simultaneous integrated boost are also planned. The biological indices, tumor control probability (TCP) and normal tissue complication probability (NTCP), are calculated for both types of plans and the superiority of the proposed technique over the conventional dose escalation scheme is demonstrated. Our calculations revealed that it is technically feasible to produce deliberately nonuniform dose distributions with consideration of biological information. Compared with the conventional dose escalation schemes, the new technique is capable of generating biologically conformal IMRT plans that significantly improve the TCP while reducing or keeping the NTCPs at their current levels. Biologically conformal radiation therapy (BCRT) incorporates patient-specific biological information and provides an outstanding opportunity for us to truly individualize radiation treatment. The proposed formalism lays a technical foundation for BCRT and allows us to maximally exploit the technical capacity of IMRT to more intelligently escalate the radiation dose.

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Year:  2005        PMID: 16013703     DOI: 10.1118/1.1924312

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  14 in total

1.  A phantom model demonstration of tomotherapy dose painting delivery, including managed respiratory motion without motion management.

Authors:  Michael W Kissick; Xiaohu Mo; Keisha C McCall; Leah K Schubert; David C Westerly; Thomas R Mackie
Journal:  Phys Med Biol       Date:  2010-04-30       Impact factor: 3.609

2.  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

3.  The potential of helical tomotherapy in the treatment of head and neck cancer.

Authors:  Dirk Van Gestel; Dirk Verellen; Lien Van De Voorde; Bie de Ost; Geert De Kerf; Olivier Vanderveken; Carl Van Laer; Danielle Van den Weyngaert; Jan B Vermorken; Vincent Gregoire
Journal:  Oncologist       Date:  2013-05-30

4.  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

5.  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

Review 6.  Molecular imaging-based dose painting: a novel paradigm for radiation therapy prescription.

Authors:  Søren M Bentzen; Vincent Gregoire
Journal:  Semin Radiat Oncol       Date:  2011-04       Impact factor: 5.934

Review 7.  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

8.  Feasibility and sensitivity study of helical tomotherapy for dose painting plans.

Authors:  Michael A Deveau; Stephen R Bowen; David C Westerly; Robert Jeraj
Journal:  Acta Oncol       Date:  2010-10       Impact factor: 4.089

Review 9.  Evaluation of hypoxia with copper-labeled diacetyl-bis(N-methylthiosemicarbazone).

Authors:  Suzanne E Lapi; Jason S Lewis; Farrokh Dehdashti
Journal:  Semin Nucl Med       Date:  2015-03       Impact factor: 4.446

10.  On the sensitivity of IMRT dose optimization to the mathematical form of a biological imaging-based prescription function.

Authors:  Stephen R Bowen; Ryan T Flynn; Søren M Bentzen; Robert Jeraj
Journal:  Phys Med Biol       Date:  2009-02-13       Impact factor: 3.609

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