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Published in: EJNMMI Research 1/2015

Open Access 01-12-2015 | Original research

Evaluation of elastix-based propagated align algorithm for VOI- and voxel-based analysis of longitudinal 18F-FDG PET/CT data from patients with non-small cell lung cancer (NSCLC)

Authors: Gerald SMA Kerner, Alexander Fischer, Michel JB Koole, Jan Pruim, Harry JM Groen

Published in: EJNMMI Research | Issue 1/2015

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Abstract

Background

Deformable image registration allows volume of interest (VOI)- and voxel-based analysis of longitudinal changes in fluorodeoxyglucose (FDG) tumor uptake in patients with non-small cell lung cancer (NSCLC). This study evaluates the performance of the elastix toolbox deformable image registration algorithm for VOI and voxel-wise assessment of longitudinal variations in FDG tumor uptake in NSCLC patients.

Methods

Evaluation of the elastix toolbox was performed using 18F-FDG PET/CT at baseline and after 2 cycles of therapy (follow-up) data in advanced NSCLC patients. The elastix toolbox, an integrated part of the IMALYTICS workstation, was used to apply a CT-based non-linear image registration of follow-up PET/CT data using the baseline PET/CT data as reference. Lesion statistics were compared to assess the impact on therapy response assessment. Next, CT-based deformable image registration was performed anew on the deformed follow-up PET/CT data using the original follow-up PET/CT data as reference, yielding a realigned follow-up PET dataset. Performance was evaluated by determining the correlation coefficient between original and realigned follow-up PET datasets. The intra- and extra-thoracic tumors were automatically delineated on the original PET using a 41% of maximum standardized uptake value (SUVmax) adaptive threshold. Equivalence between reference and realigned images was tested (determining 95% range of the difference) and estimating the percentage of voxel values that fell within that range.

Results

Thirty-nine patients with 191 tumor lesions were included. In 37/39 and 12/39 patients, respectively, thoracic and non-thoracic lesions were evaluable for response assessment. Using the EORTC/SUVmax-based criteria, 5/37 patients had a discordant response of thoracic, and 2/12 a discordant response of non-thoracic lesions between the reference and the realigned image. FDG uptake values of corresponding tumor voxels in the original and realigned reference PET correlated well (R 2=0.98). Using equivalence testing, 94% of all the voxel values fell within the 95% range of the difference between original and realigned reference PET.

Conclusions

The elastix toolbox impacts lesion statistics and therefore therapy response assessment in a clinically significant way. The elastix toolbox is therefore not applicable in its current form and/or standard settings for PET response evaluation. Further optimization and validation of this technique is necessary prior to clinical implementation.
Appendix
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Literature
1.
go back to reference Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer. 2009;45:228–47.CrossRefPubMed Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer. 2009;45:228–47.CrossRefPubMed
2.
go back to reference Sunaga N, Oriuchi N, Kaira K, Yanagitani N, Tomizawa Y, Hisada T, et al. Usefulness of FDG-PET for early prediction of the response to gefitinib in non-small cell lung cancer. Lung Cancer. 2008;59:203–10.CrossRefPubMed Sunaga N, Oriuchi N, Kaira K, Yanagitani N, Tomizawa Y, Hisada T, et al. Usefulness of FDG-PET for early prediction of the response to gefitinib in non-small cell lung cancer. Lung Cancer. 2008;59:203–10.CrossRefPubMed
3.
go back to reference Kobe C, Scheffler M, Holstein A, Zander T, Nogova L, Lammertsma AA, et al. Predictive value of early and late residual 18 F-fluorodeoxyglucose and 18 F-fluorothymidine uptake using different SUV measurements in patients with non-small-cell lung cancer treated with erlotinib. Eur J Nucl Med Mol Imaging. 2012;39:1117–27.CrossRefPubMed Kobe C, Scheffler M, Holstein A, Zander T, Nogova L, Lammertsma AA, et al. Predictive value of early and late residual 18 F-fluorodeoxyglucose and 18 F-fluorothymidine uptake using different SUV measurements in patients with non-small-cell lung cancer treated with erlotinib. Eur J Nucl Med Mol Imaging. 2012;39:1117–27.CrossRefPubMed
4.
go back to reference Tiseo M, Ippolito M, Scarlattei M, Spadaro P, Cosentino S, Latteri F, et al. Predictive and prognostic value of early response assessment using 18FDG-PET in advanced non-small cell lung cancer patients treated with erlotinib. Cancer Chemother Pharmacol. 2014;73:299–307.CrossRefPubMed Tiseo M, Ippolito M, Scarlattei M, Spadaro P, Cosentino S, Latteri F, et al. Predictive and prognostic value of early response assessment using 18FDG-PET in advanced non-small cell lung cancer patients treated with erlotinib. Cancer Chemother Pharmacol. 2014;73:299–307.CrossRefPubMed
5.
go back to reference Young H, Baum R, Cremerius U, Herholz K, Hoekstra O, Lammertsma AA, et al. Measurement of clinical and subclinical tumour response using [18 F]-fluorodeoxyglucose and positron emission tomography: review and 1999 EORTC recommendations. European Organization for Research and Treatment of Cancer (EORTC) PET Study Group. Eur J Cancer. 1999;35:1773–82.CrossRefPubMed Young H, Baum R, Cremerius U, Herholz K, Hoekstra O, Lammertsma AA, et al. Measurement of clinical and subclinical tumour response using [18 F]-fluorodeoxyglucose and positron emission tomography: review and 1999 EORTC recommendations. European Organization for Research and Treatment of Cancer (EORTC) PET Study Group. Eur J Cancer. 1999;35:1773–82.CrossRefPubMed
6.
go back to reference Wahl RL, Jacene H, Kasamon Y, Lodge MA. From RECIST to PERCIST: evolving considerations for PET response criteria in solid tumors. J Nucl Med. 2009;50 Suppl 1:122S–50.CrossRefPubMedCentralPubMed Wahl RL, Jacene H, Kasamon Y, Lodge MA. From RECIST to PERCIST: evolving considerations for PET response criteria in solid tumors. J Nucl Med. 2009;50 Suppl 1:122S–50.CrossRefPubMedCentralPubMed
7.
go back to reference Cerfolio RJ, Bryant AS, Ohja B, Bartolucci AA. The maximum standardized uptake values on positron emission tomography of a non-small cell lung cancer predict stage, recurrence, and survival. J Thorac Cardiovasc Surg. 2005;130:151–9.CrossRefPubMed Cerfolio RJ, Bryant AS, Ohja B, Bartolucci AA. The maximum standardized uptake values on positron emission tomography of a non-small cell lung cancer predict stage, recurrence, and survival. J Thorac Cardiovasc Surg. 2005;130:151–9.CrossRefPubMed
8.
go back to reference Paesmans M, Berghmans T, Dusart M, Garcia C, Hossein-Foucher C, Lafitte JJ, et al. Primary tumor standardized uptake value measured on fluorodeoxyglucose positron emission tomography is of prognostic value for survival in non-small cell lung cancer: update of a systematic review and meta-analysis by the European Lung Cancer Working Party for the International Association for the Study of Lung Cancer Staging Project. J Thorac Oncol. 2010;5:612–9.PubMed Paesmans M, Berghmans T, Dusart M, Garcia C, Hossein-Foucher C, Lafitte JJ, et al. Primary tumor standardized uptake value measured on fluorodeoxyglucose positron emission tomography is of prognostic value for survival in non-small cell lung cancer: update of a systematic review and meta-analysis by the European Lung Cancer Working Party for the International Association for the Study of Lung Cancer Staging Project. J Thorac Oncol. 2010;5:612–9.PubMed
9.
go back to reference Bille A, Okiror L, Skanjeti A, Errico L, Arena V, Penna D, et al. The prognostic significance of maximum standardized uptake value of primary tumor in surgically treated non-small-cell lung cancer patients: analysis of 413 cases. Clin Lung Cancer. 2013;14:149–56.CrossRefPubMed Bille A, Okiror L, Skanjeti A, Errico L, Arena V, Penna D, et al. The prognostic significance of maximum standardized uptake value of primary tumor in surgically treated non-small-cell lung cancer patients: analysis of 413 cases. Clin Lung Cancer. 2013;14:149–56.CrossRefPubMed
10.
go back to reference de Jong WK, van der Heijden HF, Pruim J, Dalesio O, Oyen WJ, Groen HJ. Prognostic value of different metabolic measurements with fluorine-18 fluorodeoxyglucose positron emission tomography in resectable non-small cell lung cancer: a two-center study. J Thorac Oncol. 2007;2:1007–12.CrossRefPubMed de Jong WK, van der Heijden HF, Pruim J, Dalesio O, Oyen WJ, Groen HJ. Prognostic value of different metabolic measurements with fluorine-18 fluorodeoxyglucose positron emission tomography in resectable non-small cell lung cancer: a two-center study. J Thorac Oncol. 2007;2:1007–12.CrossRefPubMed
11.
go back to reference Cook GJ, Yip C, Siddique M, Goh V, Chicklore S, Roy A, et al. Are pretreatment 18 F-FDG PET tumor textural features in non-small cell lung cancer associated with response and survival after chemoradiotherapy? J Nucl Med. 2013;54:19–26.CrossRefPubMed Cook GJ, Yip C, Siddique M, Goh V, Chicklore S, Roy A, et al. Are pretreatment 18 F-FDG PET tumor textural features in non-small cell lung cancer associated with response and survival after chemoradiotherapy? J Nucl Med. 2013;54:19–26.CrossRefPubMed
12.
go back to reference Ma B, Meyer CR, Pickles MD, Chenevert TL, Bland PH, Galban CJ, et al. Voxel-by-voxel functional diffusion mapping for early evaluation of breast cancer treatment. Inf Process Med Imaging. 2009;21:276–87.CrossRefPubMedCentralPubMed Ma B, Meyer CR, Pickles MD, Chenevert TL, Bland PH, Galban CJ, et al. Voxel-by-voxel functional diffusion mapping for early evaluation of breast cancer treatment. Inf Process Med Imaging. 2009;21:276–87.CrossRefPubMedCentralPubMed
13.
go back to reference Galban CJ, Chenevert TL, Meyer CR, Tsien C, Lawrence TS, Hamstra DA, et al. The parametric response map is an imaging biomarker for early cancer treatment outcome. Nat Med. 2009;15:572–6.CrossRefPubMedCentralPubMed Galban CJ, Chenevert TL, Meyer CR, Tsien C, Lawrence TS, Hamstra DA, et al. The parametric response map is an imaging biomarker for early cancer treatment outcome. Nat Med. 2009;15:572–6.CrossRefPubMedCentralPubMed
14.
go back to reference Schreibmann E, Waller AF, Crocker I, Curran W, Fox T. Voxel clustering for quantifying PET-based treatment response assessment. Med Phys. 2013;40:012401.CrossRefPubMed Schreibmann E, Waller AF, Crocker I, Curran W, Fox T. Voxel clustering for quantifying PET-based treatment response assessment. Med Phys. 2013;40:012401.CrossRefPubMed
15.
go back to reference Klein S, Staring M, Murphy K, Viergever MA, Pluim JP. Elastix: a toolbox for intensity-based medical image registration. IEEE Trans Med Imaging. 2010;29:196–205.CrossRefPubMed Klein S, Staring M, Murphy K, Viergever MA, Pluim JP. Elastix: a toolbox for intensity-based medical image registration. IEEE Trans Med Imaging. 2010;29:196–205.CrossRefPubMed
16.
go back to reference Murphy K, van Ginneken B, Reinhardt JM, Kabus S, Ding K, Deng X, et al. Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge. IEEE Trans Med Imaging. 2011;30:1901–20.CrossRefPubMed Murphy K, van Ginneken B, Reinhardt JM, Kabus S, Ding K, Deng X, et al. Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge. IEEE Trans Med Imaging. 2011;30:1901–20.CrossRefPubMed
17.
go back to reference de Groot EH, Post N, Boellaard R, Wagenaar NR, Willemsen AT, van Dalen JA. Optimized dose regimen for whole-body FDG-PET imaging. EJNMMI Res. 2013;3:63.CrossRefPubMedCentralPubMed de Groot EH, Post N, Boellaard R, Wagenaar NR, Willemsen AT, van Dalen JA. Optimized dose regimen for whole-body FDG-PET imaging. EJNMMI Res. 2013;3:63.CrossRefPubMedCentralPubMed
18.
go back to reference Boellaard R, O’Doherty MJ, Weber WA, Mottaghy FM, Lonsdale MN, Stroobants SG, et al. FDG PET and PET/CT: EANM procedure guidelines for tumour PET imaging: version 1.0. Eur J Nucl Med Mol Imaging. 2010;37:181–200.CrossRefPubMedCentralPubMed Boellaard R, O’Doherty MJ, Weber WA, Mottaghy FM, Lonsdale MN, Stroobants SG, et al. FDG PET and PET/CT: EANM procedure guidelines for tumour PET imaging: version 1.0. Eur J Nucl Med Mol Imaging. 2010;37:181–200.CrossRefPubMedCentralPubMed
19.
go back to reference Cheebsumon P, Boellaard R, de Ruysscher D, van Elmpt W, van Baardwijk A, Yaqub M, et al. Assessment of tumour size in PET/CT lung cancer studies: PET- and CT-based methods compared to pathology. EJNMMI Res. 2012;2:56.CrossRefPubMedCentralPubMed Cheebsumon P, Boellaard R, de Ruysscher D, van Elmpt W, van Baardwijk A, Yaqub M, et al. Assessment of tumour size in PET/CT lung cancer studies: PET- and CT-based methods compared to pathology. EJNMMI Res. 2012;2:56.CrossRefPubMedCentralPubMed
20.
go back to reference Kanai T, Kadoya N, Ito K, Onozato Y, Cho SY, Kishi K, et al. Evaluation of accuracy of B-spline transformation-based deformable image registration with different parameter settings for thoracic images. J Radiat Res. 2014;55:1163–70.CrossRefPubMedCentralPubMed Kanai T, Kadoya N, Ito K, Onozato Y, Cho SY, Kishi K, et al. Evaluation of accuracy of B-spline transformation-based deformable image registration with different parameter settings for thoracic images. J Radiat Res. 2014;55:1163–70.CrossRefPubMedCentralPubMed
21.
go back to reference Klein S, Pluim JPW, Staring M, Viergever MA. Adaptive stochastic gradient descent optimisation for image registration. Int J Comput Vis. 2009;81:227–39.CrossRef Klein S, Pluim JPW, Staring M, Viergever MA. Adaptive stochastic gradient descent optimisation for image registration. Int J Comput Vis. 2009;81:227–39.CrossRef
22.
go back to reference Staring M, Klein S, Reiber JHC, Niessen WJ, Stoel BC. Pulmonary image registration with elastix using a standard intensity-based algorithm. In: Book pulmonary image registration with elastix using a standard intensity-based algorithm. 2010. Staring M, Klein S, Reiber JHC, Niessen WJ, Stoel BC. Pulmonary image registration with elastix using a standard intensity-based algorithm. In: Book pulmonary image registration with elastix using a standard intensity-based algorithm. 2010.
23.
go back to reference Kabus S, Klinder T, Murphy K, van Ginneken B, van Lorenz C, Pluim JP. Evaluation of 4D-CT lung registration. Med Image Comput Comput Assist Interv. 2009;12:747–54.PubMed Kabus S, Klinder T, Murphy K, van Ginneken B, van Lorenz C, Pluim JP. Evaluation of 4D-CT lung registration. Med Image Comput Comput Assist Interv. 2009;12:747–54.PubMed
25.
go back to reference van Velden FH, van Beers P, Nuyts J, Velasquez LM, Hayes W, Lammertsma AA, et al. Effects of rigid and non-rigid image registration on test-retest variability of quantitative [18 F]FDG PET/CT studies. EJNMMI Res. 2012;2:10.CrossRefPubMedCentralPubMed van Velden FH, van Beers P, Nuyts J, Velasquez LM, Hayes W, Lammertsma AA, et al. Effects of rigid and non-rigid image registration on test-retest variability of quantitative [18 F]FDG PET/CT studies. EJNMMI Res. 2012;2:10.CrossRefPubMedCentralPubMed
26.
go back to reference Chicklore S, Goh V, Siddique M, Roy A, Marsden PK, Cook GJ. Quantifying tumour heterogeneity in 18 F-FDG PET/CT imaging by texture analysis. Eur J Nucl Med Mol Imaging. 2013;40:133–40.CrossRefPubMed Chicklore S, Goh V, Siddique M, Roy A, Marsden PK, Cook GJ. Quantifying tumour heterogeneity in 18 F-FDG PET/CT imaging by texture analysis. Eur J Nucl Med Mol Imaging. 2013;40:133–40.CrossRefPubMed
27.
go back to reference Yip S, McCall K, Aristophanous M, Chen AB, Aerts HJ, Berbeco R. Comparison of texture features derived from static and respiratory-gated PET Images in non-small cell lung cancer. PLoS One. 2014;9:e115510.CrossRefPubMedCentralPubMed Yip S, McCall K, Aristophanous M, Chen AB, Aerts HJ, Berbeco R. Comparison of texture features derived from static and respiratory-gated PET Images in non-small cell lung cancer. PLoS One. 2014;9:e115510.CrossRefPubMedCentralPubMed
Metadata
Title
Evaluation of elastix-based propagated align algorithm for VOI- and voxel-based analysis of longitudinal 18F-FDG PET/CT data from patients with non-small cell lung cancer (NSCLC)
Authors
Gerald SMA Kerner
Alexander Fischer
Michel JB Koole
Jan Pruim
Harry JM Groen
Publication date
01-12-2015
Publisher
Springer Berlin Heidelberg
Published in
EJNMMI Research / Issue 1/2015
Electronic ISSN: 2191-219X
DOI
https://doi.org/10.1186/s13550-015-0089-z

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