{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T10:37:52Z","timestamp":1761129472528},"reference-count":35,"publisher":"Springer Science and Business Media LLC","issue":"13","license":[{"start":{"date-parts":[[2017,8,7]],"date-time":"2017-08-07T00:00:00Z","timestamp":1502064000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur J Nucl Med Mol Imaging"],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1007\/s00259-017-3789-y","type":"journal-article","created":{"date-parts":[[2017,8,7]],"date-time":"2017-08-07T04:44:22Z","timestamp":1502081062000},"page":"2169-2178","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Metabolic tumor burden quantified on [18F]FDG PET\/CT improves TNM staging of lung cancer patients"],"prefix":"10.1007","volume":"44","author":[{"given":"Paula","family":"Lapa","sequence":"first","affiliation":[]},{"given":"B\u00e1rbara","family":"Oliveiros","sequence":"additional","affiliation":[]},{"given":"Margarida","family":"Marques","sequence":"additional","affiliation":[]},{"given":"Jorge","family":"Isidoro","sequence":"additional","affiliation":[]},{"given":"Filipe Caseiro","family":"Alves","sequence":"additional","affiliation":[]},{"given":"J. M. Nascimento","family":"Costa","sequence":"additional","affiliation":[]},{"given":"Gracinda","family":"Costa","sequence":"additional","affiliation":[]},{"given":"Jo\u00e3o Pedroso","family":"de Lima","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,8,7]]},"reference":[{"issue":"5","key":"3789_CR1","doi-asserted-by":"crossref","first-page":"1163","DOI":"10.1148\/rg.305095166","volume":"30","author":"SJ UyBico","year":"2010","unstructured":"UyBico SJ, Wu CC, Suh RD, Le NH, Brown K, Krishnam MS. Lung cancer staging essentials: the new TNM staging system and potential imaging pitfalls. Radiographics. 2010;30(5):1163\u201381.","journal-title":"Radiographics"},{"issue":"3","key":"3789_CR2","doi-asserted-by":"crossref","first-page":"1037","DOI":"10.1378\/chest.122.3.1037","volume":"122","author":"MD Brundage","year":"2002","unstructured":"Brundage MD, Davies D, Mackillop WJ. Prognostic factors in non-small cell lung cancer: a decade of progress. Chest. 2002;122(3):1037\u201357.","journal-title":"Chest"},{"issue":"1","key":"3789_CR3","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/S0761-8425(09)70132-9","volume":"26","author":"M Grivaux","year":"2009","unstructured":"Grivaux M, Zureik M, Marsal L, Asselain B, Peureux M, Chavaillon JM, et al. Five year survival for lung cancer patients managed in general hospitals. Rev Mal Respir. 2009;26(1):37\u201344.","journal-title":"Rev Mal Respir"},{"issue":"1","key":"3789_CR4","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.lungcan.2015.03.023","volume":"89","author":"H Zhang","year":"2015","unstructured":"Zhang H, Wroblewski K, Jiang Y, Penney BC, Appelbaum D, Simon CA, et al. A new PET\/CT volumetric prognostic index for non-small cell lung cancer. Lung Cancer. 2015;89(1):43\u20139.","journal-title":"Lung Cancer"},{"issue":"8","key":"3789_CR5","doi-asserted-by":"crossref","first-page":"706","DOI":"10.1097\/JTO.0b013e31812f3c1a","volume":"2","author":"P Goldstraw","year":"2007","unstructured":"Goldstraw P, Crowley J, Chansky K, Giroux DJ, Groome PA, Rami-Porta R, et al. The IASLC lung cancer staging project: proposals for the revision of the TNM stage groupings in the forthcoming (seventh) edition of the TNM classification of malignant tumours. J Thorac Oncol. 2007;2(8):706\u201314.","journal-title":"J Thorac Oncol"},{"issue":"7","key":"3789_CR6","first-page":"667","volume":"1","author":"DL Ball","year":"2006","unstructured":"Ball DL, Fisher R, Burmeister B, Graham P, Joseph D, Penniment M, et al. Stage is not a reliable indicator of tumor volume in non-small cell lung cancer: a preliminary analysis of the trans-Tasman radiation oncology group 99-05 database. J Thorac Oncol. 2006;1(7):667\u201372.","journal-title":"J Thorac Oncol"},{"key":"3789_CR7","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1007\/978-3-642-10853-2_12","volume":"187","author":"BJ Krause","year":"2013","unstructured":"Krause BJ, Schwarzenb\u00f6ck S, Souvatzoglou M. FDG PET and PET\/CT. Recent Results Cancer Res. 2013;187:351\u201369.","journal-title":"Recent Results Cancer Res"},{"key":"3789_CR8","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.critrevonc.2016.10.009","volume":"108","author":"J Castelli","year":"2016","unstructured":"Castelli J, De Bari B, Depeursinge A, Simon A, Devillers A, Roman Jimenez G, et al. Overview of the predictive value of quantitative 18 FDG PET in head and neck cancer treated with chemoradiotherapy. Crit Rev Oncol Hematol. 2016;108:40\u201351.","journal-title":"Crit Rev Oncol Hematol"},{"issue":"2","key":"3789_CR9","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1007\/s11548-012-0749-7","volume":"8","author":"H Zhang","year":"2013","unstructured":"Zhang H, Wroblewski K, Appelbaum D, Pu Y. Independent prognostic value of whole-body metabolic tumor burden from FDG-PET in non-small cell lung cancer. Int J Comput Assist Radiol Surg. 2013;8(2):181\u201391.","journal-title":"Int J Comput Assist Radiol Surg"},{"issue":"1","key":"3789_CR10","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.cllc.2011.05.001","volume":"13","author":"P Lee","year":"2012","unstructured":"Lee P, Bazan JG, Lavori PW, Weerasuriya DK, Quon A, Le QT, et al. Metabolic tumor volume is an independent prognostic factor in patients treated definitively for non-small-cell lung cancer. Clin Lung Cancer. 2012;13(1):52\u20138.","journal-title":"Clin Lung Cancer"},{"issue":"1","key":"3789_CR11","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1007\/s00259-011-1934-6","volume":"39","author":"S Liao","year":"2012","unstructured":"Liao S, Penney BC, Wroblewski K, Zhang H, Simon CA, Kampalath R, et al. Prognostic value of metabolic tumor burden on 18F-FDG PET in nonsurgical patients with non-small cell lung cancer. Eur J Nucl Med Mol Imaging. 2012;39(1):27\u201338.","journal-title":"Eur J Nucl Med Mol Imaging"},{"issue":"1","key":"3789_CR12","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.acra.2011.08.020","volume":"19","author":"S Liao","year":"2012","unstructured":"Liao S, Penney BC, Zhang H, Suzuki K, Pu Y. Prognostic value of the quantitative metabolic volumetric measurement on 18F-FDG PET\/CT in stage IV nonsurgical small-cell lung cancer. Acad Radiol. 2012;19(1):69\u201377.","journal-title":"Acad Radiol"},{"issue":"1","key":"3789_CR13","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.acra.2012.07.002","volume":"20","author":"H Zhang","year":"2013","unstructured":"Zhang H, Wroblewski K, Liao S, Kampalath R, Penney BC, Zhang Y, et al. Prognostic value of metabolic tumor burden from (18)F-FDG PET in surgical patients with non-small-cell lung cancer. Acad Radiol. 2013;20(1):32\u201340.","journal-title":"Acad Radiol"},{"issue":"2","key":"3789_CR14","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1148\/radiol.12111148","volume":"264","author":"HH Chen","year":"2012","unstructured":"Chen HH, Chiu NT, Su WC, Guo HR, Lee BF. Prognostic value of whole-body total lesion glycolysis at pretreatment FDG PET\/CT in non-small cell lung cancer. Radiology. 2012;264(2):559\u201366.","journal-title":"Radiology"},{"issue":"6","key":"3789_CR15","first-page":"615","volume":"25","author":"P Obara","year":"2013","unstructured":"Obara P, Pu Y. Prognostic value of metabolic tumor burden in lung cancer. Chin J Cancer Res. 2013;25(6):615\u201322.","journal-title":"Chin J Cancer Res"},{"issue":"1","key":"3789_CR16","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1007\/s00259-016-3520-4","volume":"44","author":"JG Bazan","year":"2017","unstructured":"Bazan JG, Duan F, Snyder BS, Horng D, Graves EE, Siegel BA, et al. Metabolic tumor volume predicts overall survival and local control in patients with stage III non-small cell lung cancer treated in ACRIN 6668\/RTOG 0235. Eur J Nucl Med Mol Imaging. 2017;44(1):17\u201324.","journal-title":"Eur J Nucl Med Mol Imaging"},{"issue":"2","key":"3789_CR17","doi-asserted-by":"crossref","first-page":"311","DOI":"10.2967\/jnumed.109.074104","volume":"52","author":"MM Graham","year":"2011","unstructured":"Graham MM, Badawi RD, Wahl RL. Variations in PET\/CT methodology for oncologic imaging at U.S. academic medical centers: an imaging response assessment team survey. J Nucl Med. 2011;52(2):311\u20137.","journal-title":"J Nucl Med"},{"issue":"8","key":"3789_CR18","doi-asserted-by":"crossref","first-page":"774","DOI":"10.1016\/S0895-4356(01)00341-9","volume":"54","author":"EW Steyerberg","year":"2001","unstructured":"Steyerberg EW, Harrell FE, Borsboom GJ, Eijkemans MJ, Vergouwe Y, Habbema JD. Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol. 2001;54(8):774\u201381.","journal-title":"J Clin Epidemiol"},{"issue":"18","key":"3789_CR19","doi-asserted-by":"crossref","first-page":"2543","DOI":"10.1001\/jama.1982.03320430047030","volume":"247","author":"FE Harrell","year":"1982","unstructured":"Harrell FE, Califf RM, Pryor DB, Lee KL, Rosati RA. Evaluating the yield of medical tests. JAMA. 1982;247(18):2543\u20136.","journal-title":"JAMA"},{"issue":"2","key":"3789_CR20","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1002\/sim.4780030207","volume":"3","author":"FE Harrell","year":"1984","unstructured":"Harrell FE, Lee KL, Califf RM, Pryor DB, Rosati RA. Regression modelling strategies for improved prognostic prediction. Stat Med. 1984;3(2):143\u201352.","journal-title":"Stat Med"},{"issue":"4","key":"3789_CR21","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1002\/(SICI)1097-0258(19960229)15:4<361::AID-SIM168>3.0.CO;2-4","volume":"15","author":"FE Harrell","year":"1996","unstructured":"Harrell FE, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med. 1996;15(4):361\u201387.","journal-title":"Stat Med"},{"issue":"1","key":"3789_CR22","doi-asserted-by":"crossref","first-page":"e0146195","DOI":"10.1371\/journal.pone.0146195","volume":"11","author":"J Liu","year":"2016","unstructured":"Liu J, Dong M, Sun X, Li W, Xing L, Yu J. Prognostic value of 18F-FDG PET\/CT in surgical non-small cell lung cancer: a meta-analysis. PLoS One. 2016;11(1):e0146195.","journal-title":"PLoS One"},{"issue":"9687","key":"3789_CR23","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1016\/S0140-6736(09)60737-6","volume":"374","author":"KS Albain","year":"2009","unstructured":"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. 2009;374(9687):379\u201386.","journal-title":"Lancet"},{"issue":"6","key":"3789_CR24","doi-asserted-by":"crossref","first-page":"442","DOI":"10.1093\/jnci\/djk093","volume":"99","author":"JP Meerbeeck van","year":"2007","unstructured":"van Meerbeeck JP, Kramer GW, Van Schil PE, Legrand C, Smit EF, Schramel F, et al. Randomized controlled trial of resection versus radiotherapy after induction chemotherapy in stage IIIA-N2 non-small-cell lung cancer. J Natl Cancer Inst. 2007;99(6):442\u201350.","journal-title":"J Natl Cancer Inst"},{"key":"3789_CR25","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.lungcan.2016.01.024","volume":"94","author":"A Winther-Larsen","year":"2016","unstructured":"Winther-Larsen A, Fledelius J, Sorensen BS, Meldgaard P. Metabolic tumor burden as marker of outcome in advanced EGFR wild-type NSCLC patients treated with erlotinib. Lung Cancer. 2016;94:81\u20137.","journal-title":"Lung Cancer"},{"issue":"5","key":"3789_CR26","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1097\/RLU.0000000000001126","volume":"41","author":"JW Lee","year":"2016","unstructured":"Lee JW, Lee SM, Yun M, Cho A. Prognostic value of volumetric parameters on staging and posttreatment FDG PET\/CT in patients with stage IV non-small cell lung cancer. Clin Nucl Med. 2016;41(5):347\u201353.","journal-title":"Clin Nucl Med"},{"issue":"6","key":"3789_CR27","doi-asserted-by":"crossref","first-page":"884","DOI":"10.2967\/jnumed.113.133801","volume":"55","author":"K Pak","year":"2014","unstructured":"Pak K, Cheon GJ, Nam HY, Kim SJ, Kang KW, Chung JK, et al. Prognostic value of metabolic tumor volume and total lesion glycolysis in head and neck cancer: a systematic review and meta-analysis. J Nucl Med. 2014;55(6):884\u201390.","journal-title":"J Nucl Med"},{"issue":"2","key":"3789_CR28","first-page":"120","volume":"6","author":"B Marinelli","year":"2016","unstructured":"Marinelli B, Espinet-Col C, Ulaner GA, McArthur HL, Gonen M, Jochelson M, et al. Prognostic value of FDG PET\/CT-based metabolic tumor volumes in metastatic triple negative breast cancer patients. Am J Nucl Med Mol Imaging. 2016;6(2):120\u20137.","journal-title":"Am J Nucl Med Mol Imaging"},{"key":"3789_CR29","doi-asserted-by":"crossref","unstructured":"McDonald JE, Kessler MM, Gardner MW, Buros AF, Ntambi JA, Waheed S, et al. Assessment of Total lesion glycolysis by 18F FDG PET\/CT significantly improves prognostic value of GEP and ISS in myeloma. Clin Cancer Res. 2017;23(8):1981\u20137","DOI":"10.1158\/1078-0432.CCR-16-0235"},{"key":"3789_CR30","doi-asserted-by":"crossref","unstructured":"Meignan M, Cottereau AS, Versari A, Chartier L, Dupuis J, Boussetta S, et al. Baseline metabolic tumor volume predicts outcome in high-tumor-burden follicular lymphoma: a pooled analysis of three multicenter studies. J Clin Oncol. 2016. https:\/\/doi.org\/10.1200\/JCO.2016.66.9440","DOI":"10.1200\/JCO.2016.66.9440"},{"issue":"2","key":"3789_CR31","doi-asserted-by":"crossref","first-page":"257","DOI":"10.2214\/AJR.15.15806","volume":"207","author":"C Marcus","year":"2016","unstructured":"Marcus C, Wray R, Taghipour M, Marashdeh W, Ahn SJ, Mena E, et al. JOURNAL CLUB: value of quantitative FDG PET\/CT volumetric biomarkers in recurrent colorectal cancer patient survival. AJR Am J Roentgenol. 2016;207(2):257\u201365.","journal-title":"AJR Am J Roentgenol"},{"issue":"8","key":"3789_CR32","doi-asserted-by":"crossref","first-page":"843","DOI":"10.1097\/MNM.0000000000000516","volume":"37","author":"JH Hong","year":"2016","unstructured":"Hong JH, Jung US, Min KJ, Lee JK, Kim S, Eo JS. Prognostic value of total lesion glycolysis measured by 18F-FDG PET\/CT in patients with locally advanced cervical cancer. Nucl Med Commun. 2016;37(8):843\u20138.","journal-title":"Nucl Med Commun"},{"issue":"9","key":"3789_CR33","doi-asserted-by":"crossref","first-page":"e2595","DOI":"10.1097\/MD.0000000000002595","volume":"95","author":"CM Kang","year":"2016","unstructured":"Kang CM, Lee SH, Hwang HK, Yun M, Lee WJ. Preoperative volume-based PET parameter, MTV2.5, as a potential surrogate marker for tumor biology and recurrence in resected pancreatic cancer. Medicine (Baltimore). 2016;95(9):e2595.","journal-title":"Medicine (Baltimore)"},{"issue":"8","key":"3789_CR34","doi-asserted-by":"crossref","first-page":"2375","DOI":"10.1088\/0031-9155\/56\/8\/004","volume":"56","author":"BW Jakoby","year":"2011","unstructured":"Jakoby BW, Bercier Y, Conti M, Casey ME, Bendriem B, Townsend DW. Physical and clinical performance of the mCT time-of-flight PET\/CT scanner. Phys Med Biol. 2011;56(8):2375\u201389.","journal-title":"Phys Med Biol"},{"issue":"13","key":"3789_CR35","doi-asserted-by":"crossref","first-page":"2324","DOI":"10.1007\/s00259-016-3441-2","volume":"43","author":"C Lasnon","year":"2016","unstructured":"Lasnon C, Majdoub M, Lavigne B, Do P, Madelaine J, Visvikis D, et al. (18)F-FDG PET\/CT heterogeneity quantification through textural features in the era of harmonisation programs: a focus on lung cancer. Eur J Nucl Med Mol Imaging. 2016;43(13):2324\u201335.","journal-title":"Eur J Nucl Med Mol Imaging"}],"container-title":["European Journal of Nuclear Medicine and Molecular Imaging"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00259-017-3789-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00259-017-3789-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00259-017-3789-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,2]],"date-time":"2019-10-02T02:38:40Z","timestamp":1569983920000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00259-017-3789-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,7]]},"references-count":35,"journal-issue":{"issue":"13","published-print":{"date-parts":[[2017,12]]}},"alternative-id":["3789"],"URL":"https:\/\/doi.org\/10.1007\/s00259-017-3789-y","relation":{},"ISSN":["1619-7070","1619-7089"],"issn-type":[{"value":"1619-7070","type":"print"},{"value":"1619-7089","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,8,7]]}}}