Literature DB >> 17967318

Comparison of five segmentation tools for 18F-fluoro-deoxy-glucose-positron emission tomography-based target volume definition in head and neck cancer.

Dominic A X Schinagl1, Wouter V Vogel, Aswin L Hoffmann, Jorn A van Dalen, Wim J Oyen, Johannes H A M Kaanders.   

Abstract

PURPOSE: Target-volume delineation for radiation treatment to the head and neck area traditionally is based on physical examination, computed tomography (CT), and magnetic resonance imaging. Additional molecular imaging with (18)F-fluoro-deoxy-glucose (FDG)-positron emission tomography (PET) may improve definition of the gross tumor volume (GTV). In this study, five methods for tumor delineation on FDG-PET are compared with CT-based delineation. METHODS AND MATERIALS: Seventy-eight patients with Stages II-IV squamous cell carcinoma of the head and neck area underwent coregistered CT and FDG-PET. The primary tumor was delineated on CT, and five PET-based GTVs were obtained: visual interpretation, applying an isocontour of a standardized uptake value of 2.5, using a fixed threshold of 40% and 50% of the maximum signal intensity, and applying an adaptive threshold based on the signal-to-background ratio. Absolute GTV volumes were compared, and overlap analyses were performed.
RESULTS: The GTV method of applying an isocontour of a standardized uptake value of 2.5 failed to provide successful delineation in 45% of cases. For the other PET delineation methods, volume and shape of the GTV were influenced heavily by the choice of segmentation tool. On average, all threshold-based PET-GTVs were smaller than on CT. Nevertheless, PET frequently detected significant tumor extension outside the GTV delineated on CT (15-34% of PET volume).
CONCLUSIONS: The choice of segmentation tool for target-volume definition of head and neck cancer based on FDG-PET images is not trivial because it influences both volume and shape of the resulting GTV. With adequate delineation, PET may add significantly to CT- and physical examination-based GTV definition.

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Year:  2007        PMID: 17967318     DOI: 10.1016/j.ijrobp.2007.07.2333

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


  57 in total

Review 1.  PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques.

Authors:  Habib Zaidi; Issam El Naqa
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-03-25       Impact factor: 9.236

2.  Delineation of FDG-PET tumors from heterogeneous background using spectral clustering.

Authors:  Fei Yang; Perry W Grigsby
Journal:  Eur J Radiol       Date:  2012-01-23       Impact factor: 3.528

Review 3.  Positron emission tomography imaging approaches for external beam radiation therapies: current status and future developments.

Authors:  P M Price; M M Green
Journal:  Br J Radiol       Date:  2011-03-22       Impact factor: 3.039

Review 4.  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

5.  An enhanced random walk algorithm for delineation of head and neck cancers in PET studies.

Authors:  Alessandro Stefano; Salvatore Vitabile; Giorgio Russo; Massimo Ippolito; Maria Gabriella Sabini; Daniele Sardina; Orazio Gambino; Roberto Pirrone; Edoardo Ardizzone; Maria Carla Gilardi
Journal:  Med Biol Eng Comput       Date:  2016-09-16       Impact factor: 2.602

Review 6.  Positron Emission Tomography (PET) in Oncology.

Authors:  Andrea Gallamini; Colette Zwarthoed; Anna Borra
Journal:  Cancers (Basel)       Date:  2014-09-29       Impact factor: 6.639

7.  Prognostic value of 18F-FDG PET metabolic parameters in oropharyngeal squamous cell carcinoma.

Authors:  Adam A Garsa; Albert J Chang; Todd Dewees; Christopher R Spencer; Douglas R Adkins; Farrokh Dehdashti; Hiram A Gay; Wade L Thorstad
Journal:  J Radiat Oncol       Date:  2013-03

8.  Radiomics in nuclear medicine: robustness, reproducibility, standardization, and how to avoid data analysis traps and replication crisis.

Authors:  Alex Zwanenburg
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-06-25       Impact factor: 9.236

9.  Classification and evaluation strategies of auto-segmentation approaches for PET: Report of AAPM task group No. 211.

Authors:  Mathieu Hatt; John A Lee; Charles R Schmidtlein; Issam El Naqa; Curtis Caldwell; Elisabetta De Bernardi; Wei Lu; Shiva Das; Xavier Geets; Vincent Gregoire; Robert Jeraj; Michael P MacManus; Osama R Mawlawi; Ursula Nestle; Andrei B Pugachev; Heiko Schöder; Tony Shepherd; Emiliano Spezi; Dimitris Visvikis; Habib Zaidi; Assen S Kirov
Journal:  Med Phys       Date:  2017-05-18       Impact factor: 4.071

10.  Assessment of various strategies for 18F-FET PET-guided delineation of target volumes in high-grade glioma patients.

Authors:  Hansjörg Vees; Srinivasan Senthamizhchelvan; Raymond Miralbell; Damien C Weber; Osman Ratib; Habib Zaidi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-09-26       Impact factor: 9.236

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