Literature DB >> 11240261

A novel approach to overcome hypoxic tumor resistance: Cu-ATSM-guided intensity-modulated radiation therapy.

K S Chao1, W R Bosch, S Mutic, J S Lewis, F Dehdashti, M A Mintun, J F Dempsey, C A Perez, J A Purdy, M J Welch.   

Abstract

PURPOSE: Locoregional tumor control for locally advanced cancers with radiation therapy has been unsatisfactory. This is in part associated with the phenomenon of tumor hypoxia. Assessing hypoxia in human tumors has been difficult due to the lack of clinically noninvasive and reproducible methods. A recently developed positron emission tomography (PET) imaging-based hypoxia measurement technique which employs a Cu(II)-diacetyl-bis(N(4)-methylthiosemicarbazone) (Cu-ATSM) tracer is of great interest. Oxygen electrode measurements in animal experiments have demonstrated a strong correlation between low tumor pO(2) and excess (60)Cu-ATSM accumulation. Intensity-modulated radiation therapy (IMRT) allows selective targeting of tumor and sparing of normal tissues. In this study, we examined the feasibility of combining these novel technologies to develop hypoxia imaging (Cu-ATSM)-guided IMRT, which may potentially deliver higher dose of radiation to the hypoxic tumor subvolume to overcome inherent hypoxia-induced radioresistance without compromising normal tissue sparing. METHODS AND MATERIALS: A custom-designed anthropomorphic head phantom containing computed tomography (CT) and positron emitting tomography (PET) visible targets consisting of plastic balls and rods distributed throughout the "cranium" was fabricated to assess the spatial accuracy of target volume mapping after multimodality image coregistration. For head-and-neck cancer patients, a CT and PET imaging fiducial marker coregistration system was integrated into the thermoplastic immobilization head mask with four CT and PET compatible markers to assist image fusion on a Voxel-Q treatment-planning computer. This system was implemented on head-and-neck cancer patients, and the gross tumor volume (GTV) was delineated based on physical and radiologic findings. Within GTV, regions with a (60)Cu-ATSM uptake twice that of contralateral normal neck muscle were operationally designated as ATSM-avid or hypoxic tumor volume (hGTV) for this feasibility study. These target volumes along with other normal organs contours were defined and transferred to an inverse planning computer (Corvus, NOMOS) to create a hypoxia imaging-guided IMRT treatment plan.
RESULTS: A study of the accuracy of target volume mapping showed that the spatial fidelity and imaging distortion after CT and PET image coregistration and fusion were within 2 mm in phantom study. Using fiducial markers to assist CT/PET imaging fusion in patients with carcinoma of the head-and-neck area, a heterogeneous distribution of (60)Cu-ATSM within the GTV illustrated the success of (60)Cu-ATSM PET to select an ATSM-avid or hypoxic tumor subvolume (hGTV). We further demonstrated the feasibility of Cu-ATSM-guided IMRT by showing an example in which radiation dose to the hGTV could be escalated without compromising normal tissue (parotid glands and spinal cord) sparing. The plan delivers 80 Gy in 35 fractions to the ATSM-avid tumor subvolume and the GTV simultaneously receives 70 Gy in 35 fractions while more than one-half of the parotid glands are spared to less than 30 Gy.
CONCLUSION: We demonstrated the feasibility of a novel Cu-ATSM-guided IMRT approach through coregistering hypoxia (60)Cu-ATSM PET to the corresponding CT images for IMRT planning. Future investigation is needed to establish a clinical-pathologic correlation between (60)Cu-ATSM retention and radiation curability, to understand tumor re-oxygenation kinetics, and tumor target uncertainty during a course of radiation therapy before implementing this therapeutic approach to patients with locally advanced tumor.

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Year:  2001        PMID: 11240261     DOI: 10.1016/s0360-3016(00)01433-4

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


  99 in total

Review 1.  Positron emission tomography (PET): expanding the horizons of oncology drug development.

Authors:  Lisa A Hammond; Louis Denis; Umber Salman; Paul Jerabek; Charles R Thomas; John G Kuhn
Journal:  Invest New Drugs       Date:  2003-08       Impact factor: 3.850

2.  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

3.  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

4.  18F-FET-PET-based dose painting by numbers with protons.

Authors:  Mark Rickhey; Zdenek Morávek; Christoph Eilles; Oliver Koelbl; Ludwig Bogner
Journal:  Strahlenther Onkol       Date:  2010-05-21       Impact factor: 3.621

5.  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

6.  Spatiotemporal stability of Cu-ATSM and FLT positron emission tomography distributions during radiation therapy.

Authors:  Tyler J Bradshaw; Stephen Yip; Ngoneh Jallow; Lisa J Forrest; Robert Jeraj
Journal:  Int J Radiat Oncol Biol Phys       Date:  2014-03-28       Impact factor: 7.038

7.  From anatomical to biological target volumes: the role of PET in radiation treatment planning.

Authors:  D A X Schinagl; J H A M Kaanders; W J G Oyen
Journal:  Cancer Imaging       Date:  2006-10-31       Impact factor: 3.909

Review 8.  Positron emission tomography to assess hypoxia and perfusion in lung cancer.

Authors:  Eline E Verwer; Ronald Boellaard; Astrid Am van der Veldt
Journal:  World J Clin Oncol       Date:  2014-12-10

9.  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

Review 10.  Assessing tumor hypoxia by positron emission tomography with Cu-ATSM.

Authors:  J P Holland; J S Lewis; F Dehdashti
Journal:  Q J Nucl Med Mol Imaging       Date:  2009-04       Impact factor: 2.346

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