Literature DB >> 22692898

Comparative study with new accuracy metrics for target volume contouring in PET image guided radiation therapy.

Tony Shepherd, Mika Teras, Reinhard R Beichel, Ronald Boellaard, Michel Bruynooghe, Volker Dicken, Mark J Gooding, Peter J Julyan, John A Lee, Sébastien Lefèvre, Michael Mix, Valery Naranjo, Xiaodong Wu, Habib Zaidi, Ziming Zeng, Heikki Minn.   

Abstract

The impact of PET on radiation therapy is held back by poor methods of defining functional volumes of interest. Many new software tools are being proposed for contouring target volumes but the different approaches are not adequately compared and their accuracy is poorly evaluated due to the illdefinition of ground truth. This paper compares the largest cohort to date of established, emerging and proposed PET contouring methods, in terms of accuracy and variability. We emphasise spatial accuracy and present a new metric that addresses the lack of unique ground truth. 30 methods are used at 13 different institutions to contour functional VOIs in clinical PET/CT and a custom-built PET phantom representing typical problems in image guided radiotherapy. Contouring methods are grouped according to algorithmic type, level of interactivity and how they exploit structural information in hybrid images. Experiments reveal benefits of high levels of user interaction, as well as simultaneous visualisation of CT images and PET gradients to guide interactive procedures. Method-wise evaluation identifies the danger of over-automation and the value of prior knowledge built into an algorithm.

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Mesh:

Year:  2012        PMID: 22692898      PMCID: PMC5570440          DOI: 10.1109/TMI.2012.2202322

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  39 in total

Review 1.  Segmentation of positron emission tomography images: some recommendations for target delineation in radiation oncology.

Authors:  John A Lee
Journal:  Radiother Oncol       Date:  2010-08-11       Impact factor: 6.280

2.  A fuzzy locally adaptive Bayesian segmentation approach for volume determination in PET.

Authors:  Mathieu Hatt; Catherine Cheze le Rest; Alexandre Turzo; Christian Roux; Dimitris Visvikis
Journal:  IEEE Trans Med Imaging       Date:  2009-01-13       Impact factor: 10.048

3.  A novel PET tumor delineation method based on adaptive region-growing and dual-front active contours.

Authors:  Hua Li; Wade L Thorstad; Kenneth J Biehl; Richard Laforest; Yi Su; Kooresh I Shoghi; Eric D Donnelly; Daniel A Low; Wei Lu
Journal:  Med Phys       Date:  2008-08       Impact factor: 4.071

4.  Histopathological correlation of (11)C-choline PET scans for target volume definition in radical prostate radiotherapy.

Authors:  Joe H Chang; Daryl Lim Joon; Sze Ting Lee; Sylvia J Gong; Andrew M Scott; Ian D Davis; David Clouston; Damien Bolton; Christopher S Hamilton; Vincent Khoo
Journal:  Radiother Oncol       Date:  2011-05-18       Impact factor: 6.280

5.  Comparison of different methods for delineation of 18F-FDG PET-positive tissue for target volume definition in radiotherapy of patients with non-Small cell lung cancer.

Authors:  Ursula Nestle; Stephanie Kremp; Andrea Schaefer-Schuler; Christiane Sebastian-Welsch; Dirk Hellwig; Christian Rübe; Carl-Martin Kirsch
Journal:  J Nucl Med       Date:  2005-08       Impact factor: 10.057

6.  A novel fuzzy C-means algorithm for unsupervised heterogeneous tumor quantification in PET.

Authors:  Saoussen Belhassen; Habib Zaidi
Journal:  Med Phys       Date:  2010-03       Impact factor: 4.071

7.  Intraobserver and interobserver variability in GTV delineation on FDG-PET-CT images of head and neck cancers.

Authors:  Stephen L Breen; Julia Publicover; Shiroma De Silva; Greg Pond; Kristy Brock; Brian O'Sullivan; Bernard Cummings; Laura Dawson; Anne Keller; John Kim; Jolie Ringash; Eugene Yu; Aaron Hendler; John Waldron
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-03-26       Impact factor: 7.038

8.  Defining a radiotherapy target with positron emission tomography.

Authors:  Quinten C Black; Inga S Grills; Larry L Kestin; Ching-Yee O Wong; John W Wong; Alvaro A Martinez; Di Yan
Journal:  Int J Radiat Oncol Biol Phys       Date:  2004-11-15       Impact factor: 7.038

9.  Head and neck cancer: clinical usefulness and accuracy of PET/CT image fusion.

Authors:  Heiko Schöder; Henry W D Yeung; Mithat Gonen; Dennis Kraus; Steven M Larson
Journal:  Radiology       Date:  2004-02-27       Impact factor: 11.105

10.  Coregistered FDG PET/CT-based textural characterization of head and neck cancer for radiation treatment planning.

Authors:  Huan Yu; Curtis Caldwell; Katherine Mah; Daniel Mozeg
Journal:  IEEE Trans Med Imaging       Date:  2009-03       Impact factor: 10.048

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  29 in total

Review 1.  Computerized PET/CT image analysis in the evaluation of tumour response to therapy.

Authors:  W Lu; J Wang; H H Zhang
Journal:  Br J Radiol       Date:  2015-02-27       Impact factor: 3.039

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.  Hybrid positron emission tomography segmentation of heterogeneous lung tumors using 3D Slicer: improved GrowCut algorithm with threshold initialization.

Authors:  Hannah Mary T Thomas; Devadhas Devakumar; Balukrishna Sasidharan; Stephen R Bowen; Danie Kingslin Heck; E James Jebaseelan Samuel
Journal:  J Med Imaging (Bellingham)       Date:  2017-01-23

4.  Influence of experience and qualification on PET-based target volume delineation. When there is no expert--ask your colleague.

Authors:  C Doll; V Duncker-Rohr; G Rücker; M Mix; M MacManus; D De Ruysscher; W Vogel; J G Eriksen; W Oyen; A-L Grosu; W Weber; U Nestle
Journal:  Strahlenther Onkol       Date:  2014-03-11       Impact factor: 3.621

5.  The first MICCAI challenge on PET tumor segmentation.

Authors:  Mathieu Hatt; Baptiste Laurent; Anouar Ouahabi; Hadi Fayad; Shan Tan; Laquan Li; Wei Lu; Vincent Jaouen; Clovis Tauber; Jakub Czakon; Filip Drapejkowski; Witold Dyrka; Sorina Camarasu-Pop; Frédéric Cervenansky; Pascal Girard; Tristan Glatard; Michael Kain; Yao Yao; Christian Barillot; Assen Kirov; Dimitris Visvikis
Journal:  Med Image Anal       Date:  2017-12-09       Impact factor: 8.545

6.  Adaptive region-growing with maximum curvature strategy for tumor segmentation in 18F-FDG PET.

Authors:  Shan Tan; Laquan Li; Wookjin Choi; Min Kyu Kang; Warren D D'Souza; Wei Lu
Journal:  Phys Med Biol       Date:  2017-06-12       Impact factor: 3.609

7.  MRI versus ⁶⁸Ga-PSMA PET/CT for gross tumour volume delineation in radiation treatment planning of primary prostate cancer.

Authors:  Constantinos Zamboglou; Gesche Wieser; Steffen Hennies; Irene Rempel; Simon Kirste; Martin Soschynski; Hans Christian Rischke; Tobias Fechter; Cordula A Jilg; Mathias Langer; Philipp T Meyer; Michael Bock; Anca-Ligia Grosu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-11-23       Impact factor: 9.236

8.  Methodological considerations in quantification of 3'-deoxy-3'-[18F]fluorothymidine uptake measured with positron emission tomography in patients with non-small cell lung cancer.

Authors:  Virginie Frings; Adrianus J de Langen; Maqsood Yaqub; Robert C Schuit; Astrid A M van der Veldt; Otto S Hoekstra; Egbert F Smit; Ronald Boellaard
Journal:  Mol Imaging Biol       Date:  2014-02       Impact factor: 3.488

9.  Optimal co-segmentation of tumor in PET-CT images with context information.

Authors:  Qi Song; Junjie Bai; Dongfeng Han; Sudershan Bhatia; Wenqing Sun; William Rockey; John E Bayouth; John M Buatti; Xiaodong Wu
Journal:  IEEE Trans Med Imaging       Date:  2013-05-16       Impact factor: 10.048

10.  Impact of consensus contours from multiple PET segmentation methods on the accuracy of functional volume delineation.

Authors:  A Schaefer; M Vermandel; C Baillet; A S Dewalle-Vignion; R Modzelewski; P Vera; L Massoptier; C Parcq; D Gibon; T Fechter; U Nemer; I Gardin; U Nestle
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-11-14       Impact factor: 9.236

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