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Published in: Radiation Oncology 1/2018

Open Access 01-12-2018 | Research

Delineation of lung cancer with FDG PET/CT during radiation therapy

Authors: J. Ganem, S. Thureau, I. Gardin, R. Modzelewski, S. Hapdey, P. Vera

Published in: Radiation Oncology | Issue 1/2018

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Abstract

Objectives

To propose an easily applicable segmentation method (perPET-RT) for delineation of tumour volume during radiotherapy on interim fluorine 18 fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) in patients with non-small cell lung cancer (NSCLC).

Material and methods

Sixty-seven patients (51 primary tumours, 60 lymph nodes), from 4 prospective studies, underwent an FDG PET/CT scan during the fifth week of radiation therapy, using different generations of PET/CT. Per-therapeutic PET/CT scans were delineated in consensus by two experienced physicians leading to the gold standard threshold to be applied. The mathematical expression of Thopt, the optimal threshold to be applied as a function of the maximum standard uptake value (SUVmax), was determined. The performance of this method (perPET-RT) was assessed by computing the DICE similarity coefficient (DSC) and was compared with 8 fixed threshold values and 3 adaptive thresholding methods.

Results

Thopt verified the following expression: Thopt = A.ln(1/SUVmax) + B where A and B were 2 constants. A and B were independent from the generation of PET/CT, but depended on the type of lesions (primary lung tumours vs. lymph nodes). PerPET-RT showed good to very good agreement in comparison to the gold standard. The mean and standard deviation of DSC value was 0.81 ± 0.13 for lung lesions and 0.78 ± 0.15 for lymph nodes. PerPET-RT showed a significant better agreement than the other segmentation methods (p < 0.001), except for one of the adaptive thresholding method ADT (p = 0.11).

Conclusion

On the database used, perPET-RT has proven its reliability and accuracy for tumour delineation on per-therapeutic FDG PET/CT using only SUVmax measurement. This method may be used to delineate tumour volume for dose-escalation planning.

Trial registration

Appendix
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Literature
2.
go back to reference Albain KS, Swann RS, Rusch VW, Turrisi AT, Shepherd FA, Smith C, et al. Radiotherapy plus chemotherapy with or without surgical resection for stage III non-small-cell lung cancer: a phase III randomised controlled trial. Lancet Lond Engl. 2009;374(9687):379–86.CrossRef Albain KS, Swann RS, Rusch VW, Turrisi AT, Shepherd FA, Smith C, et al. Radiotherapy plus chemotherapy with or without surgical resection for stage III non-small-cell lung cancer: a phase III randomised controlled trial. Lancet Lond Engl. 2009;374(9687):379–86.CrossRef
3.
go back to reference Goldstraw P, Ball D, Jett JR, Le Chevalier T, Lim E, Nicholson AG, et al. Non-small-cell lung cancer. Lancet Lond Engl. 2011;378(9804):1727–40.CrossRef Goldstraw P, Ball D, Jett JR, Le Chevalier T, Lim E, Nicholson AG, et al. Non-small-cell lung cancer. Lancet Lond Engl. 2011;378(9804):1727–40.CrossRef
4.
go back to reference Jarritt PH, Carson KJ, Hounsell AR, Visvikis D. The role of PET/CT scanning in radiotherapy planning. Br J Radiol sept 2006;79 Spec No 1:S27–S35.CrossRef Jarritt PH, Carson KJ, Hounsell AR, Visvikis D. The role of PET/CT scanning in radiotherapy planning. Br J Radiol sept 2006;79 Spec No 1:S27–S35.CrossRef
5.
go back to reference Boellaard R, Delgado-Bolton R, Oyen WJG, Giammarile F, Tatsch K, Eschner W, et al. FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0. Eur J Nucl Med Mol Imaging. 2015;42(2):328–54.CrossRef Boellaard R, Delgado-Bolton R, Oyen WJG, Giammarile F, Tatsch K, Eschner W, et al. FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0. Eur J Nucl Med Mol Imaging. 2015;42(2):328–54.CrossRef
6.
go back to reference van Baardwijk A, Bosmans G, Boersma L, Buijsen J, Wanders S, Hochstenbag M, et al. PET-CT-based auto-contouring in non-small-cell lung cancer correlates with pathology and reduces interobserver variability in the delineation of the primary tumor and involved nodal volumes. Int J Radiat Oncol Biol Phys. 2007;68(3):771–8.CrossRef van Baardwijk A, Bosmans G, Boersma L, Buijsen J, Wanders S, Hochstenbag M, et al. PET-CT-based auto-contouring in non-small-cell lung cancer correlates with pathology and reduces interobserver variability in the delineation of the primary tumor and involved nodal volumes. Int J Radiat Oncol Biol Phys. 2007;68(3):771–8.CrossRef
7.
go back to reference Schreurs LMA, Busz DM, Paardekooper GMRM, Beukema JC, Jager PL, Van der Jagt EJ, et al. Impact of 18-fluorodeoxyglucose positron emission tomography on computed tomography defined target volumes in radiation treatment planning of esophageal cancer: reduction in geographic misses with equal inter-observer variability: PET/CT improves esophageal target definition. Dis Esophagus Off J Int Soc Dis Esophagus ISDE. 2010;23(6):493–501.CrossRef Schreurs LMA, Busz DM, Paardekooper GMRM, Beukema JC, Jager PL, Van der Jagt EJ, et al. Impact of 18-fluorodeoxyglucose positron emission tomography on computed tomography defined target volumes in radiation treatment planning of esophageal cancer: reduction in geographic misses with equal inter-observer variability: PET/CT improves esophageal target definition. Dis Esophagus Off J Int Soc Dis Esophagus ISDE. 2010;23(6):493–501.CrossRef
8.
go back to reference Bradley JD, Paulus R, Komaki R, Masters G, Blumenschein G, Schild S, et al. Standard-dose versus high-dose conformal radiotherapy with concurrent and consolidation carboplatin plus paclitaxel with or without cetuximab for patients with stage IIIA or IIIB non-small-cell lung cancer (RTOG 0617): a randomised, two-by-two factorial phase 3 study. Lancet Oncol. 2015;16(2):187–99.CrossRef Bradley JD, Paulus R, Komaki R, Masters G, Blumenschein G, Schild S, et al. Standard-dose versus high-dose conformal radiotherapy with concurrent and consolidation carboplatin plus paclitaxel with or without cetuximab for patients with stage IIIA or IIIB non-small-cell lung cancer (RTOG 0617): a randomised, two-by-two factorial phase 3 study. Lancet Oncol. 2015;16(2):187–99.CrossRef
9.
go back to reference Aerts HJWL, van Baardwijk AAW, Petit SF, Offermann C, van LJ, Houben R, et al. Identification of residual metabolic-active areas within individual NSCLC tumours using a pre-radiotherapy (18) Fluorodeoxyglucose-PET-CT scan. Radiother Oncol J Eur Soc Ther Radiol Oncol. 2009;91(3):386–92.CrossRef Aerts HJWL, van Baardwijk AAW, Petit SF, Offermann C, van LJ, Houben R, et al. Identification of residual metabolic-active areas within individual NSCLC tumours using a pre-radiotherapy (18) Fluorodeoxyglucose-PET-CT scan. Radiother Oncol J Eur Soc Ther Radiol Oncol. 2009;91(3):386–92.CrossRef
10.
go back to reference Calais J, Thureau S, Dubray B, Modzelewski R, Thiberville L, Gardin I, et al. Areas of high 18F-FDG uptake on preradiotherapy PET/CT identify preferential sites of local relapse after chemoradiotherapy for non-small cell lung cancer. J Nucl Med Off Publ Soc Nucl Med. 2015;56(2):196–203. Calais J, Thureau S, Dubray B, Modzelewski R, Thiberville L, Gardin I, et al. Areas of high 18F-FDG uptake on preradiotherapy PET/CT identify preferential sites of local relapse after chemoradiotherapy for non-small cell lung cancer. J Nucl Med Off Publ Soc Nucl Med. 2015;56(2):196–203.
11.
go back to reference Edet-Sanson A, Dubray B, Doyeux K, Back A, Hapdey S, Modzelewski R, et al. Serial assessment of FDG-PET FDG uptake and functional volume during radiotherapy (RT) in patients with non-small cell lung cancer (NSCLC). Radiother Oncol J Eur Soc Ther Radiol Oncol. 2012;102(2):251–7.CrossRef Edet-Sanson A, Dubray B, Doyeux K, Back A, Hapdey S, Modzelewski R, et al. Serial assessment of FDG-PET FDG uptake and functional volume during radiotherapy (RT) in patients with non-small cell lung cancer (NSCLC). Radiother Oncol J Eur Soc Ther Radiol Oncol. 2012;102(2):251–7.CrossRef
12.
go back to reference Vera P, Mezzani-Saillard S, Edet-Sanson A, Ménard J-F, Modzelewski R, Thureau S, et al. FDG PET during radiochemotherapy is predictive of outcome at 1 year in non-small-cell lung cancer patients: a prospective multicentre study (RTEP2). Eur J Nucl Med Mol Imaging. 2014;41(6):1057–65.CrossRef Vera P, Mezzani-Saillard S, Edet-Sanson A, Ménard J-F, Modzelewski R, Thureau S, et al. FDG PET during radiochemotherapy is predictive of outcome at 1 year in non-small-cell lung cancer patients: a prospective multicentre study (RTEP2). Eur J Nucl Med Mol Imaging. 2014;41(6):1057–65.CrossRef
14.
go back to reference Hatt M, Visvikis D. Defining radiotherapy target volumes using 18F-fluoro-deoxy-glucose positron emission tomography/computed tomography: still a Pandora’s box?: in regard to Devic et al. (Int J Radiat Oncol Biol Phys 2010). Int J Radiat Oncol Biol Phys. 2010;78(5):1605. Hatt M, Visvikis D. Defining radiotherapy target volumes using 18F-fluoro-deoxy-glucose positron emission tomography/computed tomography: still a Pandora’s box?: in regard to Devic et al. (Int J Radiat Oncol Biol Phys 2010). Int J Radiat Oncol Biol Phys. 2010;78(5):1605.
15.
go back to reference Paulino AC, Johnstone PAS. FDG-PET in radiotherapy treatment planning: Pandora’s box? Int J Radiat Oncol Biol Phys. 2004;59(1):4–5.CrossRef Paulino AC, Johnstone PAS. FDG-PET in radiotherapy treatment planning: Pandora’s box? Int J Radiat Oncol Biol Phys. 2004;59(1):4–5.CrossRef
16.
go back to reference Nestle U, Schaefer-Schuler A, Kremp S, Groeschel A, Hellwig D, Rübe C, et al. Target volume definition for 18F-FDG PET-positive lymph nodes in radiotherapy of patients with non-small cell lung cancer. Eur J Nucl Med Mol Imaging. 2007;34(4):453–62.CrossRef Nestle U, Schaefer-Schuler A, Kremp S, Groeschel A, Hellwig D, Rübe C, et al. Target volume definition for 18F-FDG PET-positive lymph nodes in radiotherapy of patients with non-small cell lung cancer. Eur J Nucl Med Mol Imaging. 2007;34(4):453–62.CrossRef
17.
go back to reference Erdi YE, Mawlawi O, Larson SM, Imbriaco M, Yeung H, Finn R, et al. Segmentation of lung lesion volume by adaptive positron emission tomography image thresholding. Cancer. 1997;80(12 Suppl):2505–9.CrossRef Erdi YE, Mawlawi O, Larson SM, Imbriaco M, Yeung H, Finn R, et al. Segmentation of lung lesion volume by adaptive positron emission tomography image thresholding. Cancer. 1997;80(12 Suppl):2505–9.CrossRef
18.
go back to reference Boellaard R, Krak NC, Hoekstra OS, Lammertsma AA. Effects of noise, image resolution, and ROI definition on the accuracy of standard uptake values: a simulation study. J Nucl med off Publ Soc. Nucl Med. 2004;45(9):1519–27. Boellaard R, Krak NC, Hoekstra OS, Lammertsma AA. Effects of noise, image resolution, and ROI definition on the accuracy of standard uptake values: a simulation study. J Nucl med off Publ Soc. Nucl Med. 2004;45(9):1519–27.
19.
go back to reference Krak NC, Boellaard R, Hoekstra OS, Twisk JWR, Hoekstra CJ, Lammertsma AA. Effects of ROI definition and reconstruction method on quantitative outcome and applicability in a response monitoring trial. Eur J Nucl Med Mol Imaging. 2005;32(3):294–301.CrossRef Krak NC, Boellaard R, Hoekstra OS, Twisk JWR, Hoekstra CJ, Lammertsma AA. Effects of ROI definition and reconstruction method on quantitative outcome and applicability in a response monitoring trial. Eur J Nucl Med Mol Imaging. 2005;32(3):294–301.CrossRef
20.
go back to reference Doyeux K, Vauclin S, Hapdey S, Daouk J, Edet-Sanson A, Vera P, et al. Reproducibility of the adaptive thresholding calibration procedure for the delineation of 18F-FDG-PET-positive lesions. Nucl Med Commun may. 2013;34(5):432–8.CrossRef Doyeux K, Vauclin S, Hapdey S, Daouk J, Edet-Sanson A, Vera P, et al. Reproducibility of the adaptive thresholding calibration procedure for the delineation of 18F-FDG-PET-positive lesions. Nucl Med Commun may. 2013;34(5):432–8.CrossRef
21.
go back to reference Schaefer A, Kremp S, Hellwig D, Rübe C, Kirsch C-M, Nestle U. A contrast-oriented algorithm for FDG-PET-based delineation of tumour volumes for the radiotherapy of lung cancer: derivation from phantom measurements and validation in patient data. Eur J Nucl Med Mol Imaging. 2008;35(11):1989–99.CrossRef Schaefer A, Kremp S, Hellwig D, Rübe C, Kirsch C-M, Nestle U. A contrast-oriented algorithm for FDG-PET-based delineation of tumour volumes for the radiotherapy of lung cancer: derivation from phantom measurements and validation in patient data. Eur J Nucl Med Mol Imaging. 2008;35(11):1989–99.CrossRef
22.
go back to reference Thureau S, Chaumet-Riffaud P, Modzelewski R, Fernandez P, Tessonnier L, Vervueren L, et al. Interobserver agreement of qualitative analysis and tumor delineation of 18F-fluoromisonidazole and 3′-deoxy-3’-18F-fluorothymidine PET images in lung cancer. J Nucl Med Off Publ Soc Nucl Med. 2013;54(9):1543–50. Thureau S, Chaumet-Riffaud P, Modzelewski R, Fernandez P, Tessonnier L, Vervueren L, et al. Interobserver agreement of qualitative analysis and tumor delineation of 18F-fluoromisonidazole and 3′-deoxy-3’-18F-fluorothymidine PET images in lung cancer. J Nucl Med Off Publ Soc Nucl Med. 2013;54(9):1543–50.
23.
go back to reference Schaefer A, Vermandel M, Baillet C, Dewalle-Vignion AS, Modzelewski R, Vera P, et al. Impact of consensus contours from multiple PET segmentation methods on the accuracy of functional volume delineation. Eur J Nucl Med Mol Imaging. 2016;43(5):911–24.CrossRef Schaefer A, Vermandel M, Baillet C, Dewalle-Vignion AS, Modzelewski R, Vera P, et al. Impact of consensus contours from multiple PET segmentation methods on the accuracy of functional volume delineation. Eur J Nucl Med Mol Imaging. 2016;43(5):911–24.CrossRef
24.
go back to reference Vauclin S, Doyeux K, Hapdey S, Edet-Sanson A, Vera P, Gardin I. Development of a generic thresholding algorithm for the delineation of 18FDG-PET-positive tissue: application to the comparison of three thresholding models. Phys med biol. 2009;54(22):6901.CrossRef Vauclin S, Doyeux K, Hapdey S, Edet-Sanson A, Vera P, Gardin I. Development of a generic thresholding algorithm for the delineation of 18FDG-PET-positive tissue: application to the comparison of three thresholding models. Phys med biol. 2009;54(22):6901.CrossRef
25.
go back to reference Geets X, Lee JA, Bol A, Lonneux M, Grégoire V. A gradient-based method for segmenting FDG-PET images: methodology and validation. Eur J Nucl Med Mol Imaging. 2007;34(9):1427–38.CrossRef Geets X, Lee JA, Bol A, Lonneux M, Grégoire V. A gradient-based method for segmenting FDG-PET images: methodology and validation. Eur J Nucl Med Mol Imaging. 2007;34(9):1427–38.CrossRef
26.
go back to reference Onoma DP, Ruan S, Thureau S, Nkhali L, Modzelewski R, Monnehan GA, et al. Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm. Comput Med Imaging Graph Off J Comput Med Imaging Soc dec. 2014;38(8):753–63.CrossRef Onoma DP, Ruan S, Thureau S, Nkhali L, Modzelewski R, Monnehan GA, et al. Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm. Comput Med Imaging Graph Off J Comput Med Imaging Soc dec. 2014;38(8):753–63.CrossRef
27.
go back to reference Belhassen S, Zaidi H. A novel fuzzy C-means algorithm for unsupervised heterogeneous tumor quantification in PET. Med Phys mar. 2010;37(3):1309–24.CrossRef Belhassen S, Zaidi H. A novel fuzzy C-means algorithm for unsupervised heterogeneous tumor quantification in PET. Med Phys mar. 2010;37(3):1309–24.CrossRef
28.
go back to reference Dewalle-Vignion A-S, Betrouni N, Lopes R, Huglo D, Stute S, Vermandel M. A new method for volume segmentation of PET images, based on possibility theory. IEEE Trans Med Imaging. 2011;30(2):409–23.CrossRef Dewalle-Vignion A-S, Betrouni N, Lopes R, Huglo D, Stute S, Vermandel M. A new method for volume segmentation of PET images, based on possibility theory. IEEE Trans Med Imaging. 2011;30(2):409–23.CrossRef
29.
go back to reference Hatt M, Cheze le Rest C, Turzo A, Roux C, Visvikis D. A fuzzy locally adaptive Bayesian segmentation approach for volume determination in PET. IEEE Trans Med Imaging 2009;28(6):881–893.CrossRef Hatt M, Cheze le Rest C, Turzo A, Roux C, Visvikis D. A fuzzy locally adaptive Bayesian segmentation approach for volume determination in PET. IEEE Trans Med Imaging 2009;28(6):881–893.CrossRef
30.
go back to reference Zaidi H, El Naqa I. PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques. Eur J Nucl Med Mol Imaging. 2010;37(11):2165–87.CrossRef Zaidi H, El Naqa I. PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques. Eur J Nucl Med Mol Imaging. 2010;37(11):2165–87.CrossRef
31.
go back to reference Vera P, Bohn P, Edet-Sanson A, Salles A, Hapdey S, Gardin I, et al. Simultaneous positron emission tomography (PET) assessment of metabolism with 18F-fluoro-2-deoxy-d-glucose (FDG), proliferation with 18F-fluoro-thymidine (FLT), and hypoxia with 18fluoro-misonidazole (F-miso) before and during radiotherapy in patients with non-small-cell lung cancer (NSCLC): a pilot study. Radiother Oncol jan. 2011;98(1):109–16.CrossRef Vera P, Bohn P, Edet-Sanson A, Salles A, Hapdey S, Gardin I, et al. Simultaneous positron emission tomography (PET) assessment of metabolism with 18F-fluoro-2-deoxy-d-glucose (FDG), proliferation with 18F-fluoro-thymidine (FLT), and hypoxia with 18fluoro-misonidazole (F-miso) before and during radiotherapy in patients with non-small-cell lung cancer (NSCLC): a pilot study. Radiother Oncol jan. 2011;98(1):109–16.CrossRef
33.
go back to reference Zar J. Biostatiscal analysis. 2nd ed. La Jolla: Prentice-Hall; 1984. Zar J. Biostatiscal analysis. 2nd ed. La Jolla: Prentice-Hall; 1984.
34.
go back to reference Aupérin A, Le Péchoux C, Rolland E, Curran WJ, Furuse K, Fournel P, et al. Meta-analysis of concomitant versus sequential radiochemotherapy in locally advanced non-small-cell lung cancer. J Clin Oncol Off J Am Soc Clin Oncol. 2010;28(13):2181–90.CrossRef Aupérin A, Le Péchoux C, Rolland E, Curran WJ, Furuse K, Fournel P, et al. Meta-analysis of concomitant versus sequential radiochemotherapy in locally advanced non-small-cell lung cancer. J Clin Oncol Off J Am Soc Clin Oncol. 2010;28(13):2181–90.CrossRef
35.
go back to reference Curran WJ, Paulus R, Langer CJ, Komaki R, Lee JS, Hauser S, et al. Sequential vs. concurrent chemoradiation for stage III non-small cell lung cancer: randomized phase III trial RTOG 9410. J Natl Cancer Inst. 2011;103(19):1452–60.CrossRef Curran WJ, Paulus R, Langer CJ, Komaki R, Lee JS, Hauser S, et al. Sequential vs. concurrent chemoradiation for stage III non-small cell lung cancer: randomized phase III trial RTOG 9410. J Natl Cancer Inst. 2011;103(19):1452–60.CrossRef
36.
go back to reference van Elmpt W, De Ruysscher D, van der Salm A, Lakeman A, van der Stoep J, Emans D, et al. The PET-boost randomised phase II dose-escalation trial in non-small cell lung cancer. Radiother Oncol J Eur Soc Ther Radiol Oncol. 2012;104(1):67–71.CrossRef van Elmpt W, De Ruysscher D, van der Salm A, Lakeman A, van der Stoep J, Emans D, et al. The PET-boost randomised phase II dose-escalation trial in non-small cell lung cancer. Radiother Oncol J Eur Soc Ther Radiol Oncol. 2012;104(1):67–71.CrossRef
37.
go back to reference Kelsey CR, Christensen JD, Chino JP, Adamson J, Ready NE, Perez BA. Adaptive planning using positron emission tomography for locally advanced lung cancer: a feasibility study. Pract Radiat Oncol. 2016;6(2):96–104.CrossRef Kelsey CR, Christensen JD, Chino JP, Adamson J, Ready NE, Perez BA. Adaptive planning using positron emission tomography for locally advanced lung cancer: a feasibility study. Pract Radiat Oncol. 2016;6(2):96–104.CrossRef
39.
go back to reference Palie O, Michel P, Ménard J-F, Rousseau C, Rio E, Bridji B, et al. The predictive value of treatment response using FDG PET performed on day 21 of chemoradiotherapy in patients with oesophageal squamous cell carcinoma. A prospective, multicentre study (RTEP3). Eur J Nucl Med Mol Imaging. 2013;40(9):1345–55.CrossRef Palie O, Michel P, Ménard J-F, Rousseau C, Rio E, Bridji B, et al. The predictive value of treatment response using FDG PET performed on day 21 of chemoradiotherapy in patients with oesophageal squamous cell carcinoma. A prospective, multicentre study (RTEP3). Eur J Nucl Med Mol Imaging. 2013;40(9):1345–55.CrossRef
Metadata
Title
Delineation of lung cancer with FDG PET/CT during radiation therapy
Authors
J. Ganem
S. Thureau
I. Gardin
R. Modzelewski
S. Hapdey
P. Vera
Publication date
01-12-2018
Publisher
BioMed Central
Published in
Radiation Oncology / Issue 1/2018
Electronic ISSN: 1748-717X
DOI
https://doi.org/10.1186/s13014-018-1163-2

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