Literature DB >> 23632957

PET-based delineation of tumour volumes in lung cancer: comparison with pathological findings.

Andrea Schaefer1, Yoo Jin Kim, Stephanie Kremp, Sebastian Mai, Jochen Fleckenstein, Hendrik Bohnenberger, Hans-Joachim Schäfers, Jan-Martin Kuhnigk, Rainer M Bohle, Christian Rübe, Carl-Martin Kirsch, Aleksandar Grgic.   

Abstract

PURPOSE: The objective of the study was to validate an adaptive, contrast-oriented thresholding algorithm (COA) for tumour delineation in (18)F-fluorodeoxyglucose (FDG) positron emission tomography (PET) for non-small cell lung cancer (NSCLC) in comparison with pathological findings. The impact of tumour localization, tumour size and uptake heterogeneity on PET delineation results was also investigated.
METHODS: PET tumour delineation by COA was compared with both CT delineation and pathological findings in 15 patients to investigate its validity. Correlations between anatomical volume, metabolic volume and the pathology reference as well as between the corresponding maximal diameters were determined. Differences between PET delineations and pathological results were investigated with respect to tumour localization and uptake heterogeneity.
RESULTS: The delineated volumes and maximal diameters measured on PET and CT images significantly correlated with the pathology reference (both r > 0.95, p < 0.0001). Both PET and CT contours resulted in overestimation of the pathological volume (PET 32.5 ± 26.5%, CT 46.6 ± 27.4%). CT volumes were larger than those delineated on PET images (CT 60.6 ± 86.3 ml, PET 48.3 ± 61.7 ml). Maximal tumour diameters were similar for PET and CT (51.4 ± 19.8 mm for CT versus 53.4 ± 19.1 mm for PET), slightly overestimating the pathological reference (mean difference CT 4.3 ± 3.2 mm, PET 6.2 ± 5.1 mm). PET volumes of lung tumours located in the lower lobe were significantly different from those determined from pathology (p = 0.037), whereas no significant differences were observed for tumours located in the upper lobe (p = 0.066). Only minor correlation was found between pathological tumour size and PET heterogeneity (r = -0.24).
CONCLUSION: PET tumour delineation by COA showed a good correlation with pathological findings. Tumour localization had an influence on PET delineation results. The impact of tracer uptake heterogeneity on PET delineation should be considered carefully and individually in each patient. Altogether, PET tumour delineation by COA for NSCLC patients is feasible and reliable with the potential for routine clinical application.

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Year:  2013        PMID: 23632957     DOI: 10.1007/s00259-013-2407-x

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN: 1619-7070            Impact factor:   9.236


  41 in total

Review 1.  Integration of FDG-PET/CT into external beam radiation therapy planning: technical aspects and recommendations on methodological approaches.

Authors:  D Thorwarth; T Beyer; R Boellaard; D de Ruysscher; A Grgic; J A Lee; U Pietrzyk; B Sattler; A Schaefer; W van Elmpt; W Vogel; W J G Oyen; U Nestle
Journal:  Nuklearmedizin       Date:  2012-04-03       Impact factor: 1.379

2.  Multi-centre calibration of an adaptive thresholding method for PET-based delineation of tumour volumes in radiotherapy planning of lung cancer.

Authors:  A Schaefer; U Nestle; S Kremp; D Hellwig; A Grgic; H G Buchholz; W Mischke; C Gromoll; P Dennert; M Plotkin; S Senftleben; D Thorwarth; M Tosch; A Wahl; H Wengenmair; C Rübe; C-M Kirsch
Journal:  Nuklearmedizin       Date:  2012-03-26       Impact factor: 1.379

3.  Clinical use of PET-CT data for radiotherapy planning: what are we looking for?

Authors:  Arturo Chiti; Margarita Kirienko; Vincent Grégoire
Journal:  Radiother Oncol       Date:  2010-08-18       Impact factor: 6.280

Review 4.  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

5.  Radioactive spheres without inactive wall for lesion simulation in PET.

Authors:  Marisa Bazañez-Borgert; Ralph A Bundschuh; Michael Herz; Maria-Jose Martínez; Markus Schwaiger; Sibylle I Ziegler
Journal:  Z Med Phys       Date:  2008       Impact factor: 4.820

6.  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

7.  PET CT thresholds for radiotherapy target definition in non-small-cell lung cancer: how close are we to the pathologic findings?

Authors:  Kailiang Wu; Yee C Ung; Jennifer Hornby; Marc Freeman; David Hwang; Ming S Tsao; Max Dahele; Gail Darling; Donna E Maziak; Romeo Tirona; Kathy Mah; C Shun Wong
Journal:  Int J Radiat Oncol Biol Phys       Date:  2009-10-14       Impact factor: 7.038

8.  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

9.  Impact of tumor size and tracer uptake heterogeneity in (18)F-FDG PET and CT non-small cell lung cancer tumor delineation.

Authors:  Mathieu Hatt; Catherine Cheze-le Rest; Angela van Baardwijk; Philippe Lambin; Olivier Pradier; Dimitris Visvikis
Journal:  J Nucl Med       Date:  2011-10-11       Impact factor: 10.057

Review 10.  Biological imaging in radiation therapy: role of positron emission tomography.

Authors:  Ursula Nestle; Wolfgang Weber; Michael Hentschel; Anca-Ligia Grosu
Journal:  Phys Med Biol       Date:  2008-12-05       Impact factor: 3.609

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  16 in total

Review 1.  Imaging techniques for tumour delineation and heterogeneity quantification of lung cancer: overview of current possibilities.

Authors:  Wouter van Elmpt; Catharina M L Zegers; Marco Das; Dirk De Ruysscher
Journal:  J Thorac Dis       Date:  2014-04       Impact factor: 2.895

Review 2.  What Do We Measure in Oncology PET?

Authors:  Kyoungjune Pak; Seong-Jang Kim
Journal:  Nucl Med Mol Imaging       Date:  2016-04-18

3.  FDG PET/CT in Crohn's disease: correlation of quantitative FDG PET/CT parameters with clinical and endoscopic surrogate markers of disease activity.

Authors:  Babak Saboury; Ali Salavati; Alex Brothers; Sandip Basu; Thomas C Kwee; Marnix G E H Lam; Roland Hustinx; Edouard Louis; Drew A Torigian; Abass Alavi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-11-20       Impact factor: 9.236

4.  Optimal FDG PET/CT volumetric parameters for risk stratification in patients with locally advanced non-small cell lung cancer: results from the ACRIN 6668/RTOG 0235 trial.

Authors:  Ali Salavati; Fenghai Duan; Bradley S Snyder; Bo Wei; Sina Houshmand; Benjapa Khiewvan; Adam Opanowski; Charles B Simone; Barry A Siegel; Mitchell Machtay; Abass Alavi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-07-08       Impact factor: 9.236

5.  Quantification of metabolic tumor activity and burden in patients with non-small-cell lung cancer: Is manual adjustment of semiautomatic gradient-based measurements necessary?

Authors:  Piotr Obara; Haiping Liu; Kristen Wroblewski; Chen-Peng Zhang; Peng Hou; Yulei Jiang; Ping Chen; Yonglin Pu
Journal:  Nucl Med Commun       Date:  2015-08       Impact factor: 1.690

6.  Application of partial volume effect correction and 4D PET in the quantification of FDG avid lung lesions.

Authors:  Ali Salavati; Samuel Borofsky; Teo K Boon-Keng; Sina Houshmand; Benjapa Khiewvan; Babak Saboury; Ion Codreanu; Drew A Torigian; Habib Zaidi; Abass Alavi
Journal:  Mol Imaging Biol       Date:  2015-02       Impact factor: 3.488

7.  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

8.  Quantitative assessment of global lung inflammation following radiation therapy using FDG PET/CT: a pilot study.

Authors:  Sarah Abdulla; Ali Salavati; Babak Saboury; Sandip Basu; Drew A Torigian; Abass Alavi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-10-02       Impact factor: 9.236

Review 9.  State-Of-The-Art and Recent Advances in Quantification for Therapeutic Follow-Up in Oncology Using PET.

Authors:  Thomas Carlier; Clément Bailly
Journal:  Front Med (Lausanne)       Date:  2015-03-23

10.  Volumetric CT-based segmentation of NSCLC using 3D-Slicer.

Authors:  Emmanuel Rios Velazquez; Chintan Parmar; Mohammed Jermoumi; Raymond H Mak; Angela van Baardwijk; Fiona M Fennessy; John H Lewis; Dirk De Ruysscher; Ron Kikinis; Philippe Lambin; Hugo J W L Aerts
Journal:  Sci Rep       Date:  2013-12-18       Impact factor: 4.379

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