Literature DB >> 18207269

The integration of PET-CT scans from different hospitals into radiotherapy treatment planning.

Michel Ollers1, Geert Bosmans, Angela van Baardwijk, Andre Dekker, Philippe Lambin, Jaap Teule, Willie Thimister, Ali Rhamy, Dirk De Ruysscher.   

Abstract

PURPOSE: To integrate PET-CT scans from different hospitals into radiotherapy treatment planning. METHODS AND MATERIALS: A cylindrical phantom with spheres of different diameters was scanned on three different Siemens Biograph PET-CT scanners in three hospitals. The spheres and cylinder were filled with 18F-FDG such that different sphere-to-background (S/B) ratios were obtained. Scans were analyzed using dedicated software for automated delineation based on standardized uptake value (SUV) and using different reconstruction parameters.
RESULTS: SUV thresholding curves for different S/B ratios were obtained for the different scanners. Differences in SUV auto-contouring thresholds were found to be significant for PET-CT simulators from different radiotherapy and nuclear medicine departments. A change in PET reconstruction parameters showed a significant effect on the results.
CONCLUSION: Synchronization of PET-CT imaging protocols between cooperating hospitals is important for reliable determination of SUV auto-contouring thresholds. Whenever this goal has been achieved automated SUV delineation based on a S/B ratio using PET-CT images from different institutions can reliably be performed using individually determined threshold curves.

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Year:  2008        PMID: 18207269     DOI: 10.1016/j.radonc.2007.12.025

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  12 in total

1.  PET functional volume delineation: a robustness and repeatability study.

Authors:  Mathieu Hatt; Catherine Cheze Le Rest; Nidal Albarghach; Olivier Pradier; Dimitris Visvikis
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-01-12       Impact factor: 9.236

2.  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

3.  PET imaging of hypoxia using [18F]HX4: a phase I trial.

Authors:  Judith van Loon; Marco H M Janssen; Michel Ollers; Hugo J W L Aerts; Ludwig Dubois; Monique Hochstenbag; Anne-Marie C Dingemans; Roy Lalisang; Boudewijn Brans; Bert Windhorst; Guus A van Dongen; Hartmuth Kolb; James Zhang; Dirk De Ruysscher; Philippe Lambin
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-04-06       Impact factor: 9.236

4.  Optimal gating compared to 3D and 4D PET reconstruction for characterization of lung tumours.

Authors:  Wouter van Elmpt; James Hamill; Judson Jones; Dirk De Ruysscher; Philippe Lambin; Michel Ollers
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-01-11       Impact factor: 9.236

Review 5.  Radiomics: the process and the challenges.

Authors:  Virendra Kumar; Yuhua Gu; Satrajit Basu; Anders Berglund; Steven A Eschrich; Matthew B Schabath; Kenneth Forster; Hugo J W L Aerts; Andre Dekker; David Fenstermacher; Dmitry B Goldgof; Lawrence O Hall; Philippe Lambin; Yoganand Balagurunathan; Robert A Gatenby; Robert J Gillies
Journal:  Magn Reson Imaging       Date:  2012-08-13       Impact factor: 2.546

Review 6.  Radiomics in immuno-oncology.

Authors:  Z Bodalal; I Wamelink; S Trebeschi; R G H Beets-Tan
Journal:  Immunooncol Technol       Date:  2021-04-16

7.  Benefits of a clinical data warehouse with data mining tools to collect data for a radiotherapy trial.

Authors:  Erik Roelofs; Lucas Persoon; Sebastiaan Nijsten; Wolfgang Wiessler; André Dekker; Philippe Lambin
Journal:  Radiother Oncol       Date:  2013-02-05       Impact factor: 6.280

8.  International data-sharing for radiotherapy research: an open-source based infrastructure for multicentric clinical data mining.

Authors:  Erik Roelofs; André Dekker; Vincenzo Valentini; Philippe Lambin; Elisa Meldolesi; Ruud G P M van Stiphout
Journal:  Radiother Oncol       Date:  2013-12-03       Impact factor: 6.280

9.  An Adaptive Thresholding Method for BTV Estimation Incorporating PET Reconstruction Parameters: A Multicenter Study of the Robustness and the Reliability.

Authors:  M Brambilla; R Matheoud; C Basile; C Bracco; I Castiglioni; C Cavedon; M Cremonesi; S Morzenti; F Fioroni; M Giri; F Botta; F Gallivanone; E Grassi; M Pacilio; E De Ponti; M Stasi; S Pasetto; S Valzano; D Zanni
Journal:  Comput Math Methods Med       Date:  2015-05-19       Impact factor: 2.238

Review 10.  Development and clinical application of radiomics in lung cancer.

Authors:  Bojiang Chen; Rui Zhang; Yuncui Gan; Lan Yang; Weimin Li
Journal:  Radiat Oncol       Date:  2017-09-15       Impact factor: 3.481

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