Literature DB >> 12801131

Biologically optimized 3-dimensional in vivo predictive assay-based radiation therapy using positron emission tomography-computerized tomography imaging.

Anders Brahme1.   

Abstract

PET-CT is probably the ultimate tool for accurate tumor imaging and 3-dimensional in vivo predictive assay of radiation sensitivity. By imaging the tumor twice during the early course of therapy, it should be possible to quantify both the tumor responsiveness to therapy and the rate of loss of functional tumor cells using the presently derived equations. This new information is ideal for use together with biologically based therapy optimization and makes it possible accurately to quantitate the dose-response relation, at least for the bulk of the tumor cells. Since the tumor responsiveness is available after about one and a half weeks of therapy, the information is also ideal for use with adaptive therapy where all forms of deviations from the original treatment plan can be accurately corrected for since they generally influence the still functional, but mainly doomed tumor cell compartment. Thus, uncertainties such as: 1) the geometric misalignment of the therapeutic beam with the tumor, 2) deviations of the delivered dose distribution from the planned delivery whether due to 3) an erroneous treatment planning algorithm or 4) treatment equipment uncertainties and 5) deviations in the anticipated responsiveness of the tumor of the patient based on historical response data, can all be taken into account. Fortunately, when a larger tumor cell compartment than expected is seen an increased dose during the remainder of the treatment should always be delivered independently on whichever combination of the above deviations was the true reason. With high-energy photon and hadron therapy it is even possible to image the integral dose delivery in vivo during or after a treatment using PET-CT imaging. The high-energy photons above about 20 MeV produce positron emitters through photonuclear reactions in tissue which are proportional to the photon fluence and thus approximately also to the absorbed dose. Light ion beams, the ultimate radiation modality with regard to physical and biological selectivity, instead produce PET emitters through direct nuclear interactions in tissue, but can also be used as radioactive beams consisting of intrinsic PET emitters such as 8B, 11C, 13N and 15O. These radioactive beams allow more accurate imaging of the Bragg peak distribution and thus indirectly the absorbed dose. The most universal feedback for adaptive radiation therapy would then be to use the measured image of mean dose delivery during the early part of the treatment while revising the treatment plan based on the initially planned dose distribution and the radiation responsiveness of the tumor as seen after the first week or two of therapy. By this so-called BIO-ART approach (Biologically Optimized 3D in vivo predictive Assay-based Radiation Therapy) radiation therapy optimization may become an almost exact science, where the patient's true individual radiation response, considering hypoxia and general radiation resistance as well as possible dose delivery and planning errors, is taken into account.

Entities:  

Mesh:

Year:  2003        PMID: 12801131     DOI: 10.1080/02841860310004986

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  19 in total

1.  The role of molecular imaging in precision radiation therapy for target definition, treatment planning optimisation and quality control.

Authors:  Giovanni Lucignani; Barbara A Jereczek-Fossa; Roberto Orecchia
Journal:  Eur J Nucl Med Mol Imaging       Date:  2004-03-30       Impact factor: 9.236

2.  A graphic user interface toolkit for specification, report and comparison of dose-response relations and treatment plans using the biologically effective uniform dose.

Authors:  Fan-Chi Su; Panayiotis Mavroidis; Chengyu Shi; Brigida Costa Ferreira; Niko Papanikolaou
Journal:  Comput Methods Programs Biomed       Date:  2010-03-24       Impact factor: 5.428

3.  Experimental verification of the utility of positron emitter nuclei generated by photonuclear reactions for X-ray beam monitoring in a phantom.

Authors:  Teiji Nishio; Taku Inaniwa; Kazumasa Inoue; Aya Miyatake; Keiichi Nakagawa; Kiyoshi Yoda; Takashi Ogino
Journal:  Radiat Med       Date:  2007-12-25

Review 4.  Radiotherapy for head and neck tumours in 2012 and beyond: conformal, tailored, and adaptive?

Authors:  Vincent Grégoire; Robert Jeraj; John Aldo Lee; Brian O'Sullivan
Journal:  Lancet Oncol       Date:  2012-06-28       Impact factor: 41.316

Review 5.  Radiation oncology in the era of precision medicine.

Authors:  Michael Baumann; Mechthild Krause; Jens Overgaard; Jürgen Debus; Søren M Bentzen; Juliane Daartz; Christian Richter; Daniel Zips; Thomas Bortfeld
Journal:  Nat Rev Cancer       Date:  2016-03-18       Impact factor: 60.716

6.  Reproducibility of four-dimensional computed tomography-based lung ventilation imaging.

Authors:  Tokihiro Yamamoto; Sven Kabus; Jens von Berg; Cristian Lorenz; Melody P Chung; Julian C Hong; Billy W Loo; Paul J Keall
Journal:  Acad Radiol       Date:  2012-09-10       Impact factor: 3.173

Review 7.  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 8.  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

9.  Spatially resolved regression analysis of pre-treatment FDG, FLT and Cu-ATSM PET from post-treatment FDG PET: an exploratory study.

Authors:  Stephen R Bowen; Richard J Chappell; Søren M Bentzen; Michael A Deveau; Lisa J Forrest; Robert Jeraj
Journal:  Radiother Oncol       Date:  2012-06-08       Impact factor: 6.280

10.  Recurrences after intensity modulated radiotherapy for head and neck squamous cell carcinoma more likely to originate from regions with high baseline [18F]-FDG uptake.

Authors:  Anne K Due; Ivan R Vogelius; Marianne C Aznar; Søren M Bentzen; Anne K Berthelsen; Stine S Korreman; Annika Loft; Claus A Kristensen; Lena Specht
Journal:  Radiother Oncol       Date:  2014-06-30       Impact factor: 6.280

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