Literature DB >> 22041031

[Metabolically active volumes automatic delineation methodologies in PET imaging: review and perspectives].

M Hatt1, N Boussion, C Cheze-Le Rest, D Visvikis, O Pradier.   

Abstract

PET imaging is now considered a gold standard tool in clinical oncology, especially for diagnosis purposes. More recent applications such as therapy follow-up or tumor targeting in radiotherapy require a fast, accurate and robust metabolically active tumor volumes delineation on emission images, which cannot be obtained through manual contouring. This clinical need has sprung a large number of methodological developments regarding automatic methods to define tumor volumes on PET images. This paper reviews most of the methodologies that have been recently proposed and discusses their framework and methodological and/or clinical validation. Perspectives regarding the future work to be done are also suggested.
Copyright © 2011 Société française de radiothérapie oncologique (SFRO). Published by Elsevier SAS. All rights reserved.

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Year:  2011        PMID: 22041031     DOI: 10.1016/j.canrad.2011.07.243

Source DB:  PubMed          Journal:  Cancer Radiother        ISSN: 1278-3218            Impact factor:   1.018


  3 in total

1.  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

2.  Baseline metabolic tumour volume is an independent prognostic factor in Hodgkin lymphoma.

Authors:  Salim Kanoun; Cédric Rossi; Alina Berriolo-Riedinger; Inna Dygai-Cochet; Alexandre Cochet; Olivier Humbert; Michel Toubeau; Emmanuelle Ferrant; François Brunotte; René-Olivier Casasnovas
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-05-09       Impact factor: 9.236

3.  Influence of Software Tool and Methodological Aspects of Total Metabolic Tumor Volume Calculation on Baseline [18F]FDG PET to Predict Survival in Hodgkin Lymphoma.

Authors:  Salim Kanoun; Ilan Tal; Alina Berriolo-Riedinger; Cédric Rossi; Jean-Marc Riedinger; Jean-Marc Vrigneaud; Louis Legrand; Olivier Humbert; Olivier Casasnovas; François Brunotte; Alexandre Cochet
Journal:  PLoS One       Date:  2015-10-16       Impact factor: 3.240

  3 in total

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