{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T01:37:15Z","timestamp":1777081035599,"version":"3.51.4"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2019,9,13]],"date-time":"2019-09-13T00:00:00Z","timestamp":1568332800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,9,13]],"date-time":"2019-09-13T00:00:00Z","timestamp":1568332800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Australas Phys Eng Sci Med"],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1007\/s13246-019-00797-8","type":"journal-article","created":{"date-parts":[[2019,9,13]],"date-time":"2019-09-13T13:02:52Z","timestamp":1568379772000},"page":"981-993","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Analysis of hypoxia in human glioblastoma tumors with dynamic 18F-FMISO PET imaging"],"prefix":"10.1007","volume":"42","author":[{"given":"Redha-alla","family":"Abdo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fr\u00e9d\u00e9ric","family":"Lamare","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Philippe","family":"Fernandez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4909-934X","authenticated-orcid":false,"given":"M\u2019hamed","family":"Bentourkia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,9,13]]},"reference":[{"issue":"Suppl 4","key":"797_CR1","doi-asserted-by":"publisher","first-page":"S21","DOI":"10.1053\/j.seminoncol.2011.09.008","volume":"38","author":"MR Gilbert","year":"2011","unstructured":"Gilbert MR (2011) Recurrent glioblastoma: a fresh look at current therapies and emerging novel approaches. Semin Oncol 38(Suppl 4):S21\u201333","journal-title":"Semin Oncol"},{"key":"797_CR2","doi-asserted-by":"publisher","first-page":"760","DOI":"10.1007\/s00259-011-2037-0","volume":"39","author":"K Hirata","year":"2012","unstructured":"Hirata K, Terasaka S, Shiga T et al (2012) (1)(8)F-Fluoromisonidazole positron emission tomography may differentiate glioblastoma multiforme from less malignant gliomas. Eur J Nucl Med Mol Imaging 39:760\u2013770","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"797_CR3","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1007\/s12094-018-1831-6","volume":"20","author":"A Zygogianni","year":"2018","unstructured":"Zygogianni A, Protopapa M, Kougioumtzopoulou A et al (2018) From imaging to biology of glioblastoma: new clinical oncology perspectives to the problem of local recurrence. Clin Transl Oncol 20:989\u20131003","journal-title":"Clin Transl Oncol"},{"key":"797_CR4","doi-asserted-by":"publisher","first-page":"1383","DOI":"10.1007\/s00259-017-3677-5","volume":"44","author":"L Bekaert","year":"2017","unstructured":"Bekaert L, Valable S, Lechapt-Zalcman E et al (2017) [18F]-FMISO PET study of hypoxia in gliomas before surgery: correlation with molecular markers of hypoxia and angiogenesis. Eur J Nucl Med Mol Imaging 44:1383\u20131392","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"797_CR5","doi-asserted-by":"publisher","first-page":"2209","DOI":"10.1088\/0031-9155\/50\/10\/002","volume":"50","author":"D Thorwarth","year":"2005","unstructured":"Thorwarth D, Eschmann SM, Paulsen F et al (2005) A kinetic model for dynamic [18F]-Fmiso PET data to analyse tumour hypoxia. Phys Med Biol 50:2209\u20132224","journal-title":"Phys Med Biol"},{"key":"797_CR6","doi-asserted-by":"publisher","first-page":"1426","DOI":"10.1007\/s00259-006-0175-6","volume":"33","author":"M Zimny","year":"2006","unstructured":"Zimny M, Gagel B, DiMartino E et al (2006) FDG\u2013a marker of tumour hypoxia? A comparison with [18F]fluoromisonidazole and pO2-polarography in metastatic head and neck cancer. Eur J Nucl Med Mol Imaging 33:1426\u20131431","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"797_CR7","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1007\/s00259-016-3541-z","volume":"44","author":"T Toyonaga","year":"2017","unstructured":"Toyonaga T, Yamaguchi S, Hirata K et al (2017) Hypoxic glucose metabolism in glioblastoma as a potential prognostic factor. Eur J Nucl Med Mol Imaging 44:611\u2013619","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"797_CR8","doi-asserted-by":"publisher","first-page":"1469","DOI":"10.1007\/s00259-016-3320-x","volume":"43","author":"T Toyonaga","year":"2016","unstructured":"Toyonaga T, Hirata K, Yamaguchi S et al (2016) (18)F-fluoromisonidazole positron emission tomography can predict pathological necrosis of brain tumors. Eur J Nucl Med Mol Imaging 43:1469\u20131476","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"797_CR9","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1016\/j.radonc.2006.07.033","volume":"80","author":"D Thorwarth","year":"2006","unstructured":"Thorwarth D, Eschmann SM, Holzner F et al (2006) Combined uptake of [18F]FDG and [18F]FMISO correlates with radiation therapy outcome in head-and-neck cancer patients. Radiother Oncol 80:151\u2013156","journal-title":"Radiother Oncol"},{"key":"797_CR10","doi-asserted-by":"publisher","first-page":"406","DOI":"10.1016\/j.radonc.2007.05.014","volume":"83","author":"SM Eschmann","year":"2007","unstructured":"Eschmann SM, Paulsen F, Bedeshem C et al (2007) Hypoxia-imaging with (18)F-Misonidazole and PET: changes of kinetics during radiotherapy of head-and-neck cancer. Radiother Oncol 83:406\u2013410","journal-title":"Radiother Oncol"},{"key":"797_CR11","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1097\/MNM.0b013e3283529984","volume":"33","author":"Y Yamamoto","year":"2012","unstructured":"Yamamoto Y, Maeda Y, Kawai N et al (2012) Hypoxia assessed by 18F-fluoromisonidazole positron emission tomography in newly diagnosed gliomas. Nucl Med Commun 33:621\u2013625","journal-title":"Nucl Med Commun"},{"key":"797_CR12","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1007\/s00259-010-1645-4","volume":"38","author":"N Kawai","year":"2011","unstructured":"Kawai N, Maeda Y, Kudomi N et al (2011) Correlation of biological aggressiveness assessed by 11C-methionine PET and hypoxic burden assessed by 18F-fluoromisonidazole PET in newly diagnosed glioblastoma. Eur J Nucl Med Mol Imaging 38:441\u2013450","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"797_CR13","doi-asserted-by":"publisher","first-page":"36","DOI":"10.2967\/jnumed.108.055467","volume":"50","author":"KR Swanson","year":"2009","unstructured":"Swanson KR, Chakraborty G, Wang CH et al (2009) Complementary but distinct roles for MRI and 18F-fluoromisonidazole PET in the assessment of human glioblastomas. J Nucl Med 50:36\u201344","journal-title":"J Nucl Med"},{"key":"797_CR14","doi-asserted-by":"publisher","first-page":"1127","DOI":"10.1118\/1.597506","volume":"22","author":"JJ Casciari","year":"1995","unstructured":"Casciari JJ, Graham MM, Rasey JS (1995) A modeling approach for quantifying tumor hypoxia with [F-18]fluoromisonidazole PET time-activity data. Med Phys 22:1127\u20131139","journal-title":"Med Phys"},{"key":"797_CR15","doi-asserted-by":"publisher","first-page":"3083","DOI":"10.1088\/0031-9155\/54\/10\/008","volume":"54","author":"W Wang","year":"2009","unstructured":"Wang W, Georgi JC, Nehmeh SA et al (2009) Evaluation of a compartmental model for estimating tumor hypoxia via FMISO dynamic PET imaging. Phys Med Biol 54:3083\u20133099","journal-title":"Phys Med Biol"},{"key":"797_CR16","first-page":"1851","volume":"45","author":"M Bruehlmeier","year":"2004","unstructured":"Bruehlmeier M, Roelcke U, Schubiger PA et al (2004) Assessment of hypoxia and perfusion in human brain tumors using PET with 18F-fluoromisonidazole and 15O\u2013H2O. J Nucl Med 45:1851\u20131859","journal-title":"J Nucl Med"},{"key":"797_CR17","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1053\/j.semnuclmed.2014.10.004","volume":"45","author":"CJ Koch","year":"2015","unstructured":"Koch CJ, Evans SM (2015) Optimizing hypoxia detection and treatment strategies. Semin Nucl Med 45:163\u2013176","journal-title":"Semin Nucl Med"},{"key":"797_CR18","doi-asserted-by":"publisher","first-page":"639","DOI":"10.1002\/stem.318","volume":"28","author":"F Pajonk","year":"2010","unstructured":"Pajonk F, Vlashi E, McBride WH (2010) Radiation resistance of cancer stem cells: the 4 R's of radiobiology revisited. Stem Cells 28:639\u2013648","journal-title":"Stem Cells"},{"key":"797_CR19","doi-asserted-by":"publisher","first-page":"3775","DOI":"10.1002\/nbm.3775","volume":"30","author":"C Preibisch","year":"2017","unstructured":"Preibisch C, Shi K, Kluge A et al (2017) Characterizing hypoxia in human glioma: a simultaneous multimodal MRI and PET study. NMR Biomed 30:e3775","journal-title":"NMR Biomed"},{"key":"797_CR20","doi-asserted-by":"publisher","first-page":"1072","DOI":"10.2967\/jnumed.116.188649","volume":"58","author":"M Grkovski","year":"2017","unstructured":"Grkovski M, Schoder H, Lee NY et al (2017) Multiparametric imaging of tumor hypoxia and perfusion with (18)F-fluoromisonidazole dynamic PET in head and neck cancer. J Nucl Med 58:1072\u20131080","journal-title":"J Nucl Med"},{"key":"797_CR21","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1186\/s13550-017-0347-3","volume":"7","author":"E Taylor","year":"2017","unstructured":"Taylor E, Gottwald J, Yeung I et al (2017) Impact of tissue transport on PET hypoxia quantification in pancreatic tumours. EJNMMI Res 7:101","journal-title":"EJNMMI Res"},{"key":"797_CR22","doi-asserted-by":"publisher","first-page":"7187541","DOI":"10.1155\/2016\/7187541","volume":"2016","author":"M Veronese","year":"2016","unstructured":"Veronese M, Rizzo G, Bertoldo A et al (2016) Spectral analysis of dynamic PET studies: a review of 20 years of method developments and applications. Comput Math Methods Med 2016:7187541","journal-title":"Comput Math Methods Med"},{"key":"797_CR23","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1016\/S0895-6111(03)00018-1","volume":"27","author":"M Bentourkia","year":"2003","unstructured":"Bentourkia M (2003) PET kinetic modeling of 11C-acetate from projections. Comput Med Imaging Graph 27:373\u2013379","journal-title":"Comput Med Imaging Graph"},{"key":"797_CR24","doi-asserted-by":"publisher","first-page":"1333","DOI":"10.1007\/s002590050591","volume":"26","author":"K Murase","year":"1999","unstructured":"Murase K, Inoue T, Fujioka H et al (1999) An alternative approach to estimation of the brain perfusion index for measurement of cerebral blood flow using technetium-99m compounds. Eur J Nucl Med 26:1333\u20131339","journal-title":"Eur J Nucl Med"},{"key":"797_CR25","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1038\/jcbfm.1993.5","volume":"13","author":"VJ Cunningham","year":"1993","unstructured":"Cunningham VJ, Jones T (1993) Spectral analysis of dynamic PET studies. J Cereb Blood Flow Metab 13:15\u201323","journal-title":"J Cereb Blood Flow Metab"},{"key":"797_CR26","doi-asserted-by":"publisher","first-page":"1429","DOI":"10.1109\/10.730437","volume":"45","author":"A Bertoldo","year":"1998","unstructured":"Bertoldo A, Vicini P, Sambuceti G et al (1998) Evaluation of compartmental and spectral analysis models of [18F]FDG kinetics for heart and brain studies with PET. IEEE Trans Biomed Eng 45:1429\u20131448","journal-title":"IEEE Trans Biomed Eng"},{"key":"797_CR27","doi-asserted-by":"publisher","first-page":"651","DOI":"10.1088\/0031-9155\/43\/3\/016","volume":"43","author":"SR Meikle","year":"1998","unstructured":"Meikle SR, Matthews JC, Cunningham VJ et al (1998) Parametric image reconstruction using spectral analysis of PET projection data. Phys Med Biol 43:651\u2013666","journal-title":"Phys Med Biol"},{"key":"797_CR28","doi-asserted-by":"publisher","first-page":"1211","DOI":"10.1097\/00004647-199811000-00007","volume":"18","author":"F Turkheimer","year":"1998","unstructured":"Turkheimer F, Sokoloff L, Bertoldo A et al (1998) Estimation of component and parameter distributions in spectral analysis. J Cereb Blood Flow Metab 18:1211\u20131222","journal-title":"J Cereb Blood Flow Metab"},{"key":"797_CR29","first-page":"945","volume":"47","author":"LF de Geus-Oei","year":"2006","unstructured":"de Geus-Oei LF, Visser EP, Krabbe PF et al (2006) Comparison of image-derived and arterial input functions for estimating the rate of glucose metabolism in therapy-monitoring 18F-FDG PET studies. J Nucl Med 47:945\u2013949","journal-title":"J Nucl Med"},{"key":"797_CR30","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1007\/s11307-015-0871-3","volume":"18","author":"E Grecchi","year":"2016","unstructured":"Grecchi E, Veronese M, Moresco RM et al (2016) Quantification of dynamic [18F]FDG pet studies in acute lung injury. Mol Imaging Biol 18:143\u2013152","journal-title":"Mol Imaging Biol"},{"key":"797_CR31","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1186\/s13550-018-0439-8","volume":"8","author":"E Silvestri","year":"2018","unstructured":"Silvestri E, Scolozzi V, Rizzo G et al (2018) The kinetics of (18)F-FDG in lung cancer: compartmental models and voxel analysis. EJNMMI Res 8:88","journal-title":"EJNMMI Res"},{"key":"797_CR32","doi-asserted-by":"publisher","first-page":"1104","DOI":"10.1038\/jcbfm.2015.69","volume":"35","author":"R Boutchko","year":"2015","unstructured":"Boutchko R, Mitra D, Baker SL et al (2015) Clustering-initiated factor analysis application for tissue classification in dynamic brain positron emission tomography. J Cereb Blood Flow Metab 35:1104\u20131111","journal-title":"J Cereb Blood Flow Metab"},{"key":"797_CR33","doi-asserted-by":"publisher","first-page":"6553","DOI":"10.1158\/1078-0432.CCR-10-3290","volume":"17","author":"M Wardak","year":"2011","unstructured":"Wardak M, Schiepers C, Dahlbom M et al (2011) Discriminant analysis of (1)(8)F-fluorothymidine kinetic parameters to predict survival in patients with recurrent high-grade glioma. Clin Cancer Res 17:6553\u20136562","journal-title":"Clin Cancer Res"},{"key":"797_CR34","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1109\/42.774165","volume":"18","author":"M Bentourkia","year":"1999","unstructured":"Bentourkia M, Bol A, Ivanoiu A et al (1999) A standardized blood sampling scheme in quantitative FDG-PET studies. IEEE Trans Med Imaging 18:379\u2013384","journal-title":"IEEE Trans Med Imaging"},{"key":"797_CR35","first-page":"1960","volume":"47","author":"BJ Kemp","year":"2006","unstructured":"Kemp BJ, Kim C, Williams JJ et al (2006) NEMA NU 2\u20132001 performance measurements of an LYSO-based PET\/CT system in 2D and 3D acquisition modes. J Nucl Med 47:1960\u20131967","journal-title":"J Nucl Med"},{"key":"797_CR36","doi-asserted-by":"publisher","first-page":"1085","DOI":"10.1016\/0969-8043(93)90110-V","volume":"44","author":"J-L Lim","year":"1993","unstructured":"Lim J-L, Berridge MS (1993) An efficient radiosynthesis of [18F]fluoromisonidazole. Appl Radiat Isot 44:1085\u20131091","journal-title":"Appl Radiat Isot"},{"key":"797_CR37","doi-asserted-by":"publisher","first-page":"406","DOI":"10.1038\/jcbfm.1994.52","volume":"14","author":"F Turkheimer","year":"1994","unstructured":"Turkheimer F, Moresco RM, Lucignani G et al (1994) The use of spectral analysis to determine regional cerebral glucose utilization with positron emission tomography and [18F]fluorodeoxyglucose: theory, implementation, and optimization procedures. J Cereb Blood Flow Metab 14:406\u2013422","journal-title":"J Cereb Blood Flow Metab"},{"key":"797_CR38","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1097\/00004647-200106000-00002","volume":"21","author":"RN Gunn","year":"2001","unstructured":"Gunn RN, Gunn SR, Cunningham VJ (2001) Positron emission tomography compartmental models. J Cereb Blood Flow Metab 21:635\u2013652","journal-title":"J Cereb Blood Flow Metab"}],"container-title":["Australasian Physical & Engineering Sciences in Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13246-019-00797-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13246-019-00797-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13246-019-00797-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,11]],"date-time":"2020-09-11T23:33:11Z","timestamp":1599867191000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13246-019-00797-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9,13]]},"references-count":38,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2019,12]]}},"alternative-id":["797"],"URL":"https:\/\/doi.org\/10.1007\/s13246-019-00797-8","relation":{},"ISSN":["0158-9938","1879-5447"],"issn-type":[{"value":"0158-9938","type":"print"},{"value":"1879-5447","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,9,13]]},"assertion":[{"value":"23 May 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 August 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"31 August 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 September 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and\/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This article does not contain any studies with animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Informed consent was obtained from all individual participants included in this study.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}