{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T06:59:10Z","timestamp":1770533950397,"version":"3.49.0"},"reference-count":56,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2018,3,8]],"date-time":"2018-03-08T00:00:00Z","timestamp":1520467200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61628105"],"award-info":[{"award-number":["61628105"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81501541"],"award-info":[{"award-number":["81501541"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natioanl Key research and development program","award":["2016YFC0104003"],"award-info":[{"award-number":["2016YFC0104003"]}]},{"DOI":"10.13039\/501100003453","name":"Natural Science Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2016A030313577"],"award-info":[{"award-number":["2016A030313577"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Program of Pearl River Young Talents of Science and Technology in Guangzhou","award":["201610010011"],"award-info":[{"award-number":["201610010011"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Radiol"],"published-print":{"date-parts":[[2018,8]]},"DOI":"10.1007\/s00330-018-5343-0","type":"journal-article","created":{"date-parts":[[2018,3,8]],"date-time":"2018-03-08T10:26:24Z","timestamp":1520504784000},"page":"3245-3254","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":60,"title":["Robustness versus disease differentiation when varying parameter settings in radiomics features: application to nasopharyngeal PET\/CT"],"prefix":"10.1007","volume":"28","author":[{"given":"Wenbing","family":"Lv","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingyu","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Quanshi","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianhua","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qianjin","family":"Feng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wufan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arman","family":"Rahmim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lijun","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,3,8]]},"reference":[{"key":"5343_CR1","doi-asserted-by":"publisher","first-page":"1614","DOI":"10.2967\/jnumed.107.043406","volume":"48","author":"FY Liu","year":"2007","unstructured":"Liu FY, Lin CY, Chang JT et al (2007) 18F-FDG PET can replace conventional work-up in primary M staging of nonkeratinizing nasopharyngeal carcinoma. J Nucl Med 48:1614\u20131619","journal-title":"J Nucl Med"},{"key":"5343_CR2","doi-asserted-by":"publisher","first-page":"e26","DOI":"10.1259\/bjr\/15812414","volume":"81","author":"HE O'Donnell","year":"2008","unstructured":"O'Donnell HE, Plowman PN, Khaira MK, Alusi G (2008) PET scanning and Gamma Knife radiosurgery in the early diagnosis and salvage \"cure\" of locally recurrent nasopharyngeal carcinoma. Br J Radiol 81:e26\u2013e30","journal-title":"Br J Radiol"},{"key":"5343_CR3","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1007\/s00259-008-0918-7","volume":"36","author":"SH Ng","year":"2009","unstructured":"Ng SH, Chan SC, Yen TC et al (2009) Staging of untreated nasopharyngeal carcinoma with PET\/CT: comparison with conventional imaging work-up. Eur J Nucl Med Mol Imaging 36:12\u201322","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"5343_CR4","doi-asserted-by":"publisher","first-page":"341","DOI":"10.2967\/jnumed.110.081190","volume":"52","author":"H Wu","year":"2011","unstructured":"Wu H, Wang Q, Wang M, Zhen X, Zhou W, Li H (2011) Preliminary study of 11C-choline PET\/CT for T staging of locally advanced nasopharyngeal carcinoma: comparison with 18F-FDG PET\/CT. J Nucl Med 52:341\u2013346","journal-title":"J Nucl Med"},{"key":"5343_CR5","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1259\/bjr\/73751469","volume":"81","author":"AD King","year":"2008","unstructured":"King AD, Ma BB, Yau YY et al (2008) The impact of 18F-FDG PET\/CT on assessment of nasopharyngeal carcinoma at diagnosis. Br J Radiol 81:291\u2013298","journal-title":"Br J Radiol"},{"key":"5343_CR6","doi-asserted-by":"publisher","first-page":"1409","DOI":"10.1007\/BF01367602","volume":"23","author":"LG Strauss","year":"1996","unstructured":"Strauss LG (1996) Fluorine-18 deoxyglucose and false-positive results: a major problem in the diagnostics of oncological patients. Eur J Nucl Med 23:1409\u20131415","journal-title":"Eur J Nucl Med"},{"key":"5343_CR7","first-page":"695","volume":"45","author":"A Waarde van","year":"2004","unstructured":"van Waarde A, Cobben DC, Suurmeijer AJ et al (2004) Selectivity of 18F-FLT and 18F-FDG for differentiating tumor from inflammation in a rodent model. J Nucl Med 45:695\u2013700","journal-title":"J Nucl Med"},{"key":"5343_CR8","doi-asserted-by":"publisher","first-page":"1345","DOI":"10.1007\/s002590050593","volume":"26","author":"R Hustinx","year":"1999","unstructured":"Hustinx R, Smith RJ, Benard F et al (1999) Dual time point fluorine-18 fluorodeoxyglucose positron emission tomography: a potential method to differentiate malignancy from inflammation and normal tissue in the head and neck. Eur J Nucl Med 26:1345\u20131348","journal-title":"Eur J Nucl Med"},{"key":"5343_CR9","volume-title":"Principles and practice of PET and PET\/CT","author":"RL Wahl","year":"2008","unstructured":"Wahl RL (2008) Principles and practice of PET and PET\/CT. Lippincott Williams & Wilkins, Philadelphia"},{"key":"5343_CR10","doi-asserted-by":"publisher","first-page":"883","DOI":"10.1056\/NEJMoa1113205","volume":"366","author":"M Gerlinger","year":"2012","unstructured":"Gerlinger M, Rowan AJ, Horswell S et al (2012) Intratumor heterogeneity and branched evolution revealed by multiregion sequencing. New Engl J Med 366:883\u2013892","journal-title":"New Engl J Med"},{"key":"5343_CR11","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1080\/23808993.2016.1164013","volume":"1","author":"V Parekh","year":"2016","unstructured":"Parekh V, Jacobs MA (2016) Radiomics: a new application from established techniques. Expert Rev Precis Med Drug Dev 1:207\u2013226","journal-title":"Expert Rev Precis Med Drug Dev"},{"key":"5343_CR12","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1016\/j.ejca.2011.11.036","volume":"48","author":"P Lambin","year":"2012","unstructured":"Lambin P, Rios-Velazquez E, Leijenaar R et al (2012) Radiomics: Extracting more information from medical images using advanced feature analysis. Eur J Cancer 48:441\u2013446","journal-title":"Eur J Cancer"},{"key":"5343_CR13","doi-asserted-by":"publisher","first-page":"4006","DOI":"10.1038\/ncomms5006","volume":"5","author":"HJ Aerts","year":"2014","unstructured":"Aerts HJ, Velazquez ER, Leijenaar RT et al (2014) Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun 5:4006","journal-title":"Nat Commun"},{"key":"5343_CR14","doi-asserted-by":"publisher","first-page":"5123","DOI":"10.1088\/0031-9155\/60\/13\/5123","volume":"60","author":"W Mu","year":"2015","unstructured":"Mu W, Chen Z, Liang Y et al (2015) Staging of cervical cancer based on tumor heterogeneity characterized by texture features on 18F-FDG PET images. Phys Med Biol 60:5123\u20135139","journal-title":"Phys Med Biol"},{"key":"5343_CR15","doi-asserted-by":"publisher","first-page":"72","DOI":"10.3389\/fonc.2016.00072","volume":"6","author":"SS Yip","year":"2016","unstructured":"Yip SS, Coroller TP, Sanford NN, Mamon H, Aerts HJ, Berbeco RI (2016) Relationship between the temporal changes in positron-emission-tomography-imaging-based textural features and pathologic response and survival in esophageal cancer patients. Front Oncol 6:72","journal-title":"Front Oncol"},{"key":"5343_CR16","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1016\/j.radonc.2016.04.004","volume":"119","author":"TP Coroller","year":"2016","unstructured":"Coroller TP, Agrawal V, Narayan V et al (2016) Radiomic phenotype features predict pathological response in non-small cell lung cancer. Radiother Oncol 119:480\u2013486","journal-title":"Radiother Oncol"},{"key":"5343_CR17","first-page":"71","volume":"6","author":"W Wu","year":"2016","unstructured":"Wu W, Parmar C, Grossmann P et al (2016) Exploratory study to identify radiomics classifiers for lung cancer histology. Front Oncol 6:71","journal-title":"Front Oncol"},{"key":"5343_CR18","doi-asserted-by":"publisher","first-page":"e94017","DOI":"10.1371\/journal.pone.0094017","volume":"9","author":"M Soussan","year":"2014","unstructured":"Soussan M, Orlhac F, Boubaya M et al (2014) Relationship between tumor heterogeneity measured on FDG-PET\/CT and pathological prognostic factors in invasive breast cancer. PLoS One 9:e94017","journal-title":"PLoS One"},{"key":"5343_CR19","doi-asserted-by":"publisher","first-page":"1453","DOI":"10.1007\/s00259-016-3314-8","volume":"43","author":"P Lovinfosse","year":"2016","unstructured":"Lovinfosse P, Janvary ZL, Coucke P et al (2016) FDG PET\/CT texture analysis for predicting the outcome of lung cancer treated by stereotactic body radiation therapy. Eur J Nucl Med Mol Imaging 43:1453\u20131460","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"5343_CR20","doi-asserted-by":"publisher","first-page":"1235","DOI":"10.2967\/jnumed.113.133389","volume":"55","author":"F Tixier","year":"2014","unstructured":"Tixier F, Hatt M, Valla C et al (2014) Visual versus quantitative assessment of intratumor 18F-FDG PET uptake heterogeneity: prognostic value in non-small cell lung cancer. J Nucl Med 55:1235\u20131241","journal-title":"J Nucl Med"},{"key":"5343_CR21","doi-asserted-by":"publisher","first-page":"1162","DOI":"10.1016\/j.patcog.2008.08.011","volume":"42","author":"NI El","year":"2009","unstructured":"El NI, Grigsby P, Apte A et al (2009) Exploring feature-based approaches in PET images for predicting cancer treatment outcomes. Pattern Recognit 42:1162\u20131171","journal-title":"Pattern Recognit"},{"key":"5343_CR22","doi-asserted-by":"publisher","first-page":"3591","DOI":"10.1158\/1078-0432.CCR-12-1307","volume":"19","author":"T Win","year":"2013","unstructured":"Win T, Miles KA, Janes SM et al (2013) Tumor heterogeneity and permeability as measured on the CT component of PET\/CT predict survival in patients with non-small cell lung cancer. Clin Cancer Res 19:3591\u20133599","journal-title":"Clin Cancer Res"},{"key":"5343_CR23","doi-asserted-by":"publisher","first-page":"419","DOI":"10.1007\/s00259-014-2933-1","volume":"42","author":"NM Cheng","year":"2015","unstructured":"Cheng NM, Fang YH, Lee LY et al (2015) Zone-size nonuniformity of 18F-FDG PET regional textural features predicts survival in patients with oropharyngeal cancer. Eur J Nucl Med Mol Imaging 42:419\u2013428","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"5343_CR24","doi-asserted-by":"publisher","first-page":"e99567","DOI":"10.1371\/journal.pone.0099567","volume":"9","author":"F Tixier","year":"2014","unstructured":"Tixier F, Groves AM, Goh V et al (2014) Correlation of intra-tumor 18F-FDG uptake heterogeneity indices with perfusion CT derived parameters in colorectal cancer. PLoS One 9:e99567","journal-title":"PLoS One"},{"key":"5343_CR25","doi-asserted-by":"publisher","first-page":"456","DOI":"10.1007\/s11307-016-1015-0","volume":"19","author":"M Soufi","year":"2017","unstructured":"Soufi M, Kamali-Asl A, Geramifar P, Rahmim A (2017) A Novel Framework for Automated Segmentation and Labeling of Homogeneous Versus Heterogeneous Lung Tumors in [F-18]FDG-PET Imaging. Mol Imaging Biol 19:456\u2013468","journal-title":"Mol Imaging Biol"},{"key":"5343_CR26","doi-asserted-by":"publisher","first-page":"5471","DOI":"10.1088\/0031-9155\/60\/14\/5471","volume":"60","author":"M Vallieres","year":"2015","unstructured":"Vallieres M, Freeman CR, Skamene SR, El Naqa I (2015) A radiomics model from joint FDG-PET and MRI texture features for the prediction of lung metastases in soft-tissue sarcomas of the extremities. Phys Med Biol 60:5471\u20135496","journal-title":"Phys Med Biol"},{"key":"5343_CR27","doi-asserted-by":"crossref","unstructured":"Lambin P, Leijenaar R, Deist TM et al (2017) Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol14:749-762","DOI":"10.1038\/nrclinonc.2017.141"},{"key":"5343_CR28","doi-asserted-by":"publisher","first-page":"1636","DOI":"10.1001\/jamaoncol.2016.2631","volume":"2","author":"HJ Aerts","year":"2016","unstructured":"Aerts HJ (2016) The Potential of Radiomic-Based Phenotyping in Precision Medicine: A Review. JAMA Oncol 2:1636\u20131642","journal-title":"JAMA Oncol"},{"key":"5343_CR29","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1148\/radiol.2015151169","volume":"278","author":"RJ Gillies","year":"2016","unstructured":"Gillies RJ, Kinahan PE, Hricak H (2016) Radiomics: Images Are More than Pictures, They Are Data. Radiology 278:563\u2013577","journal-title":"Radiology"},{"key":"5343_CR30","doi-asserted-by":"publisher","first-page":"R150","DOI":"10.1088\/0031-9155\/61\/13\/R150","volume":"61","author":"SS Yip","year":"2016","unstructured":"Yip SS, Aerts HJ (2016) Applications and limitations of radiomics. Phys Med Biol 61:R150\u2013R166","journal-title":"Phys Med Biol"},{"key":"5343_CR31","doi-asserted-by":"publisher","first-page":"1012","DOI":"10.3109\/0284186X.2010.498437","volume":"49","author":"PE Galavis","year":"2010","unstructured":"Galavis PE, Hollensen C, Jallow N, Paliwal B, Jeraj R (2010) Variability of textural features in FDG PET images due to different acquisition modes and reconstruction parameters. Acta Oncol 49:1012\u20131016","journal-title":"Acta Oncol"},{"key":"5343_CR32","doi-asserted-by":"publisher","first-page":"788","DOI":"10.1007\/s11307-016-0940-2","volume":"18","author":"FHP Velden van","year":"2016","unstructured":"van Velden FHP, Kramer GM, Frings V et al (2016) Repeatability of radiomic features in non-small-cell lung cancer [18F]FDG-PET\/CT studies: Impact of reconstruction and delineation. Mol Imaging Biol 18:788\u2013795","journal-title":"Mol Imaging Biol"},{"key":"5343_CR33","doi-asserted-by":"publisher","first-page":"2805","DOI":"10.1007\/s00330-015-3681-8","volume":"25","author":"G Doumou","year":"2015","unstructured":"Doumou G, Siddique M, Tsoumpas C, Goh V, Cook GJ (2015) The precision of textural analysis in 18F-FDG-PET scans of oesophageal cancer. Eur Radiol 25:2805\u20132812","journal-title":"Eur Radiol"},{"key":"5343_CR34","doi-asserted-by":"publisher","first-page":"1662","DOI":"10.1007\/s00259-013-2486-8","volume":"40","author":"M Hatt","year":"2013","unstructured":"Hatt M, Tixier F, Cheze LRC, Pradier O, Visvikis D (2013) Robustness of intratumour 18F-FDG PET uptake heterogeneity quantification for therapy response prediction in oesophageal carcinoma. Eur J Nucl Med Mol Imaging 40:1662\u20131671","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"5343_CR35","doi-asserted-by":"publisher","first-page":"11075","DOI":"10.1038\/srep11075","volume":"5","author":"RT Leijenaar","year":"2015","unstructured":"Leijenaar RT, Nalbantov G, Carvalho S et al (2015) The effect of SUV discretization in quantitative FDG-PET Radiomics: the need for standardized methodology in tumor texture analysis. Sci Rep 5:11075","journal-title":"Sci Rep"},{"key":"5343_CR36","doi-asserted-by":"publisher","first-page":"935","DOI":"10.1007\/s11307-016-0973-6","volume":"18","author":"L Lu","year":"2016","unstructured":"Lu L, Lv W, Jiang J et al (2016) Robustness of radiomic features in [11C]choline and [18F]FDG PET\/CT imaging of nasopharyngeal carcinoma: impact of segmentation and discretization. Mol Imaging Biol 18:935\u2013945","journal-title":"Mol Imaging Biol"},{"key":"5343_CR37","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1007\/s00259-016-3427-0","volume":"44","author":"M Hatt","year":"2017","unstructured":"Hatt M, Tixier F, Pierce L, Kinahan PE, Le Rest CC, Visvikis D (2017) Characterization of PET\/CT images using texture analysis: the past, the present... any future? Eur J Nucl Med Mol Imaging 44:151\u2013165","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"5343_CR38","doi-asserted-by":"publisher","first-page":"610","DOI":"10.1109\/TSMC.1973.4309314","volume":"SMC-3","author":"RM Haralick","year":"1973","unstructured":"Haralick RM, Shanmugam K, Dinstein I (1973) Textural features for image classification. IEEE Trans Syst Man Cyb. SMC-3:610\u2013621","journal-title":"IEEE Trans Syst Man Cyb."},{"key":"5343_CR39","doi-asserted-by":"publisher","first-page":"780","DOI":"10.1109\/36.752194","volume":"37","author":"L Soh","year":"1999","unstructured":"Soh L, Tsatsoulis C (1999) Texture Analysis of SAR Sea Ice Imagery Using Gray Level Co-Occurrence Matrices. IEEE T Geosci Remote 37:780\u2013795","journal-title":"IEEE T Geosci Remote"},{"key":"5343_CR40","doi-asserted-by":"publisher","first-page":"49","DOI":"10.4236\/ami.2015.53005","volume":"5","author":"U Metser","year":"2015","unstructured":"Metser U, Jhaveri KS, Murphy G, Halankar J (2015) Multiparameteric PET-MR assessment of response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: PET, MR, PET-MR and tumor texture analysis: A pilot study. Adv Mol Imaging 5:49\u201360","journal-title":"Adv Mol Imaging"},{"key":"5343_CR41","first-page":"2256","volume":"53","author":"A Roy","year":"2012","unstructured":"Roy A, Warbey V, Ferner R, O\u2019Doherty M, Marsden P (2012) Feature based differentiation of benign, malignant and atypical neurofibroma in FDG-PET scans. J Nucl Med 53:2256","journal-title":"J Nucl Med"},{"key":"5343_CR42","doi-asserted-by":"publisher","first-page":"e1","DOI":"10.1016\/j.nicl.2016.02.012","volume":"12","author":"A Rahmim","year":"2016","unstructured":"Rahmim A, Salimpour Y, Jain S et al (2016) Application of texture analysis to DAT SPECT imaging: Relationship to clinical assessments. Neuroimage Clin 12:e1\u2013e9","journal-title":"Neuroimage Clin"},{"key":"5343_CR43","doi-asserted-by":"publisher","first-page":"2367","DOI":"10.1016\/j.patcog.2006.12.004","volume":"40","author":"A Gelzinis","year":"2007","unstructured":"Gelzinis A, Verikas A, Bacauskiene M (2007) Increasing the discrimination power of the co-occurrence matrix-based features. Pattern Recogn 40:2367\u20132372","journal-title":"Pattern Recogn"},{"key":"5343_CR44","first-page":"428","volume":"57","author":"A Rahmim","year":"2016","unstructured":"Rahmim A, Salimpour Y, Blinder S, Klyuzhin I, Sossi V (2016) Optimized haralick texture quantification to track Parkinson\u2019s disease progression from DAT SPECT images. J Nucl Med 57:428","journal-title":"J Nucl Med"},{"key":"5343_CR45","doi-asserted-by":"publisher","first-page":"e83554","DOI":"10.1371\/journal.pone.0083554","volume":"8","author":"L Nanni","year":"2013","unstructured":"Nanni L, Brahnam S, Ghidoni S, Menegatti E, Barrier T (2013) Different approaches for extracting information from the co-occurrence matrix. PLoS One 8:e83554","journal-title":"PLoS One"},{"key":"5343_CR46","doi-asserted-by":"publisher","first-page":"38","DOI":"10.2967\/jnumed.114.144055","volume":"56","author":"M Hatt","year":"2015","unstructured":"Hatt M, Majdoub M, Vallieres M et al (2015) 18F-FDG PET uptake characterization through texture analysis: investigating the complementary nature of heterogeneity and functional tumor volume in a multi-cancer site patient cohort. J Nucl Med 56:38\u201344","journal-title":"J Nucl Med"},{"key":"5343_CR47","doi-asserted-by":"publisher","first-page":"374","DOI":"10.1109\/TMI.2008.2004425","volume":"28","author":"H Yu","year":"2009","unstructured":"Yu H, Caldwell C, Mah K, Mozeg D (2009) Coregistered FDG PET\/CT-based textural characterization of head and neck cancer for radiation treatment planning. IEEE Trans Med Imaging 28:374\u2013383","journal-title":"IEEE Trans Med Imaging"},{"key":"5343_CR48","first-page":"885","volume":"47","author":"D Delbeke","year":"2006","unstructured":"Delbeke D, Coleman RE, Guiberteau MJ et al (2006) Procedure guideline for tumor imaging with 18F-FDG PET\/CT 1.0. J Nucl Med 47:885\u2013895","journal-title":"J Nucl Med"},{"key":"5343_CR49","first-page":"e131801","volume":"10","author":"J Jiang","year":"2015","unstructured":"Jiang J, Wu H, Huang M et al (2015) Variability of Gross Tumor Volume in Nasopharyngeal Carcinoma Using 11C-Choline and 18F-FDG PET\/CT. PLoS One 10:e131801","journal-title":"PLoS One"},{"key":"5343_CR50","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1111\/j.2517-6161.1974.tb00994.x","volume":"36","author":"M Stone","year":"1974","unstructured":"Stone M (1974) Cross-validatory choice and assessment of statistical predictions. J R Stat Soc. 36:111\u2013147","journal-title":"J R Stat Soc."},{"key":"5343_CR51","doi-asserted-by":"publisher","first-page":"837","DOI":"10.2307\/2531595","volume":"44","author":"ER DeLong","year":"1988","unstructured":"DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44:837\u2013845","journal-title":"Biometrics"},{"key":"5343_CR52","doi-asserted-by":"publisher","first-page":"4498","DOI":"10.1007\/s00330-017-4859-z","volume":"27","author":"I Shiri","year":"2017","unstructured":"Shiri I, Rahmim A, Ghaffarian P, Geramifar P, Abdollahi H, Bitarafan-Rajabi A (2017) The impact of image reconstruction settings on 18F-FDG PET radiomic features: multi-scanner phantom and patient studies. Eur Radiol 27:4498\u20134509","journal-title":"Eur Radiol"},{"key":"5343_CR53","first-page":"e159984","volume":"11","author":"C Bailly","year":"2016","unstructured":"Bailly C, Bodet-Milin C, Couespel S et al (2016) Revisiting the robustness of PET-based textural features in the context of multi-centric trials. PLoS One 11:e159984","journal-title":"PLoS One"},{"key":"5343_CR54","doi-asserted-by":"publisher","first-page":"506","DOI":"10.2967\/jnumed.116.181859","volume":"58","author":"F Orlhac","year":"2017","unstructured":"Orlhac F, Boughdad S, Nioche C, Alberini JL, Soussan M, Buvat I (2017) An original approach to deal with multi-center variability of PET textural features. J Nucl Med 58:506","journal-title":"J Nucl Med"},{"key":"5343_CR55","doi-asserted-by":"publisher","first-page":"3587","DOI":"10.1118\/1.4925510","volume":"42","author":"C Lin","year":"2015","unstructured":"Lin C, Bradshaw T, Perk T, Harmon S, Liu G, Jeraj R (2015) Repeatability of [18F]-NaF PET imaging biomarkers for bone lesions: A multicenter study. Med Phys 42:3587","journal-title":"Med Phys"},{"key":"5343_CR56","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-5947-7","volume-title":"Nasopharyngeal carcinoma keys for translational medicine and biology","author":"P Busson","year":"2013","unstructured":"Busson P (2013) Nasopharyngeal carcinoma keys for translational medicine and biology. Landes Bioscience and Springer Science+Business Media, Austin"}],"container-title":["European Radiology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00330-018-5343-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-018-5343-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-018-5343-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T21:43:56Z","timestamp":1719870236000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00330-018-5343-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3,8]]},"references-count":56,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2018,8]]}},"alternative-id":["5343"],"URL":"https:\/\/doi.org\/10.1007\/s00330-018-5343-0","relation":{},"ISSN":["0938-7994","1432-1084"],"issn-type":[{"value":"0938-7994","type":"print"},{"value":"1432-1084","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,3,8]]},"assertion":[{"value":"4 January 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 January 2018","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 January 2018","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 March 2018","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 scientific guarantor of this publication is Dr. Lijun Lu.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Guarantor"}},{"value":"The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"No complex statistical methods were necessary for this paper.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Statistics and biometry"}},{"value":"Written informed consent was waived by the Institutional Review Board.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}},{"value":"Institutional Review Board approval was obtained.","order":6,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"\u2022 retrospective\u2022 diagnostic study\u2022 performed at one institution","order":7,"name":"Ethics","group":{"name":"EthicsHeading","label":"Methodology"}}]}}