{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T07:12:19Z","timestamp":1789456339567,"version":"build-2803163510"},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T00:00:00Z","timestamp":1693526400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100001698","name":"Israel Cancer Research Fund","doi-asserted-by":"publisher","award":["20-204-RCDA"],"award-info":[{"award-number":["20-204-RCDA"]}],"id":[{"id":"10.13039\/100001698","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006221","name":"United States - Israel Binational Science Foundation","doi-asserted-by":"publisher","award":["2019237"],"award-info":[{"award-number":["2019237"]}],"id":[{"id":"10.13039\/100006221","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003977","name":"Israel Science Foundation","doi-asserted-by":"publisher","award":["1840\/20"],"award-info":[{"award-number":["1840\/20"]}],"id":[{"id":"10.13039\/501100003977","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Radiol"],"DOI":"10.1007\/s00330-023-09911-7","type":"journal-article","created":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T14:02:35Z","timestamp":1693576955000},"page":"1635-1644","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["Adipose tissue composition determines its computed tomography radiodensity"],"prefix":"10.1007","volume":"34","author":[{"given":"Amani","family":"Zoabi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Einav","family":"Bentov-Arava","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adan","family":"Sultan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna","family":"Elia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ori","family":"Shalev","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marina","family":"Orevi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ofer N.","family":"Gofrit","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1454-5469","authenticated-orcid":false,"given":"Katherine","family":"Margulis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,9,1]]},"reference":[{"issue":"2","key":"9911_CR1","doi-asserted-by":"publisher","first-page":"669","DOI":"10.1016\/j.ajog.2004.05.077","volume":"191","author":"G Lamvu","year":"2004","unstructured":"Lamvu G, Zolnoun D, Boggess J, Steege JF (2004) Obesity: physiologic changes and challenges during laparoscopy. Am J Obstet Gynecol 191(2):669\u2013674","journal-title":"Am J Obstet Gynecol"},{"issue":"6","key":"9911_CR2","doi-asserted-by":"publisher","first-page":"564","DOI":"10.1111\/ajo.12258","volume":"54","author":"K McIlwaine","year":"2014","unstructured":"McIlwaine K, Manwaring J, Ellett L et al (2014) The effect of patient body mass index on surgical difficulty in gynaecological laparoscopy. Aust N Z J Obstet Gynaecol 54(6):564\u2013569","journal-title":"Aust N Z J Obstet Gynaecol"},{"issue":"6","key":"9911_CR3","doi-asserted-by":"publisher","first-page":"1917","DOI":"10.1093\/ajcn\/nqab285","volume":"114","author":"EMC Feliciano","year":"2021","unstructured":"Feliciano EMC, Winkels RM, Meyerhardt JA, Prado CM, Afman LA, Caan BJ (2021) Abdominal adipose tissue radiodensity is associated with survival after colorectal cancer. Am J Clin Nutr 114(6):1917\u20131924","journal-title":"Am J Clin Nutr"},{"issue":"4","key":"9911_CR4","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1002\/jcsm.12305","volume":"9","author":"JC Brown","year":"2018","unstructured":"Brown JC, Caan BJ, Meyerhardt JA et al (2018) The deterioration of muscle mass and radiodensity is prognostic of poor survival in stage I-III colorectal cancer: a population-based cohort study (C-SCANS). J Cachexia Sarcopenia Muscle 9(4):664\u2013672","journal-title":"J Cachexia Sarcopenia Muscle"},{"issue":"1","key":"9911_CR5","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1093\/gerona\/glt070","volume":"69","author":"RA Murphy","year":"2014","unstructured":"Murphy RA, Register TC, Shively CA et al (2014) Adipose tissue density, a novel biomarker predicting mortality risk in older adults. J Gerontol A Biol Sci Med Sci 69(1):109\u2013117","journal-title":"J Gerontol A Biol Sci Med Sci"},{"issue":"2","key":"9911_CR6","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1016\/j.numecd.2015.12.002","volume":"26","author":"RV Shah","year":"2016","unstructured":"Shah RV, Allison MA, Lima JA et al (2016) Abdominal fat radiodensity, quantity and cardiometabolic risk: the Multi-Ethnic Study of Atherosclerosis. Nutr Metab Cardiovasc Dis 26(2):114\u2013122","journal-title":"Nutr Metab Cardiovasc Dis"},{"issue":"1","key":"9911_CR7","doi-asserted-by":"publisher","first-page":"23090","DOI":"10.1038\/s41598-021-02427-4","volume":"11","author":"SS Kwon","year":"2021","unstructured":"Kwon SS, Choi K, Da Nam B et al (2021) Epicardial adipose tissue radiodensity is associated with all-cause mortality in patients undergoing hemodialysis. Sci Rep 11(1):23090","journal-title":"Sci Rep"},{"issue":"2","key":"9911_CR8","doi-asserted-by":"publisher","first-page":"404","DOI":"10.1002\/oby.22695","volume":"28","author":"C Tilves","year":"2020","unstructured":"Tilves C, Zmuda JM, Kuipers AL et al (2020) Associations of thigh and abdominal adipose tissue radiodensity with glucose and insulin in nondiabetic African-ancestry men. Obesity 28(2):404\u2013411","journal-title":"Obesity"},{"issue":"4","key":"9911_CR9","doi-asserted-by":"publisher","first-page":"294","DOI":"10.1007\/s13139-012-0175-3","volume":"46","author":"WH Kim","year":"2012","unstructured":"Kim WH, Kim CG, Kim DW (2012) Optimal CT number range for adipose tissue when determining lean body mass in whole-body F-18 FDG PET\/CT studies. Nucl Med Mol Imaging 46(4):294\u2013299","journal-title":"Nucl Med Mol Imaging"},{"issue":"2","key":"9911_CR10","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1007\/s10278-012-9488-0","volume":"26","author":"YJ Kim","year":"2013","unstructured":"Kim YJ, Lee SH, Kim TY, Park JY, Choi SH, Kim KG (2013) Body fat assessment method using CT images with separation mask algorithm. J Digit Imaging 26(2):155\u2013162","journal-title":"J Digit Imaging"},{"issue":"7","key":"9911_CR11","doi-asserted-by":"publisher","first-page":"2258","DOI":"10.1210\/jc.2016-2698","volume":"102","author":"MU Din","year":"2017","unstructured":"Din MU, Raiko J, Saari T et al (2017) Human brown fat radiodensity indicates underlying tissue composition and systemic metabolic health. J Clin Endocrinol Metab 102(7):2258\u20132267","journal-title":"J Clin Endocrinol Metab"},{"issue":"11","key":"9911_CR12","doi-asserted-by":"publisher","first-page":"3386","DOI":"10.1007\/s00261-020-02783-1","volume":"45","author":"J Starekova","year":"2020","unstructured":"Starekova J, Reeder SB (2020) Liver fat quantification: where do we stand? Abdom Radiol (NY) 45(11):3386\u20133399","journal-title":"Abdom Radiol (NY)"},{"issue":"3","key":"9911_CR13","doi-asserted-by":"publisher","first-page":"735","DOI":"10.1002\/jcsm.12533","volume":"11","author":"AS Bhullar","year":"2020","unstructured":"Bhullar AS, Anoveros-Barrera A, Dunichand-Hoedl A et al (2020) Lipid is heterogeneously distributed in muscle and associates with low radiodensity in cancer patients. J Cachexia Sarcopenia Muscle 11(3):735\u2013747","journal-title":"J Cachexia Sarcopenia Muscle"},{"key":"9911_CR14","doi-asserted-by":"crossref","unstructured":"Ebadi M, Dunichand-Hoedl AR, Rider E et al (2022) Higher subcutaneous adipose tissue radiodensity is associated with increased mortality in patients with cirrhosis. JHEP Rep 4(7):100495","DOI":"10.1016\/j.jhepr.2022.100495"},{"issue":"43","key":"9911_CR15","doi-asserted-by":"publisher","first-page":"7188","DOI":"10.1002\/anie.200602449","volume":"45","author":"JM Wiseman","year":"2006","unstructured":"Wiseman JM, Ifa DR, Song Q, Cooks RG (2006) Tissue imaging at atmospheric pressure using desorption electrospray ionization (DESI) mass spectrometry. Angew Chem Int Ed 45(43):7188\u20137192","journal-title":"Angew Chem Int Ed"},{"issue":"25","key":"9911_CR16","doi-asserted-by":"publisher","first-page":"6347","DOI":"10.1073\/pnas.1803733115","volume":"115","author":"K Margulis","year":"2018","unstructured":"Margulis K, Chiou AS, Aasi SZ, Tibshirani RJ, Tang JY, Zare RN (2018) Distinguishing malignant from benign microscopic skin lesions using desorption electrospray ionization mass spectrometry imaging. Proc Natl Acad Sci U S A 115(25):6347","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"11","key":"9911_CR17","doi-asserted-by":"publisher","first-page":"1940","DOI":"10.1093\/bioinformatics\/bty909","volume":"35","author":"J Leuschner","year":"2018","unstructured":"Leuschner J, Schmidt M, Fernsel P, Lachmund D, Boskamp T, Maass P (2018) Supervised non-negative matrix factorization methods for MALDI imaging applications. Bioinformatics 35(11):1940\u20131947","journal-title":"Bioinformatics"},{"issue":"7","key":"9911_CR18","doi-asserted-by":"publisher","first-page":"916","DOI":"10.1016\/j.bbapap.2016.11.003","volume":"1865","author":"T Boskamp","year":"2017","unstructured":"Boskamp T, Lachmund D, Oetjen J et al (2017) A new classification method for MALDI imaging mass spectrometry data acquired on formalin-fixed paraffin-embedded tissue samples. Biochim Biophys Acta Proteins Proteom 1865(7):916\u2013926","journal-title":"Biochim Biophys Acta Proteins Proteom"},{"issue":"21","key":"9911_CR19","doi-asserted-by":"publisher","DOI":"10.1002\/rcm.9181","volume":"35","author":"M Nijs","year":"2021","unstructured":"Nijs M, Smets T, Waelkens E, De Moor B (2021) A mathematical comparison of non-negative matrix factorization related methods with practical implications for the analysis of mass spectrometry imaging data. Rapid Commun Mass Spectrom 35(21):e9181","journal-title":"Rapid Commun Mass Spectrom"},{"issue":"3","key":"9911_CR20","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1002\/sia.1657","volume":"36","author":"MR Keenan","year":"2004","unstructured":"Keenan MR, Kotula PG (2004) Accounting for Poisson noise in the multivariate analysis of ToF-SIMS spectrum images. Surf Interface Anal 36(3):203\u2013212","journal-title":"Surf Interface Anal"},{"issue":"6","key":"9911_CR21","doi-asserted-by":"publisher","first-page":"1001","DOI":"10.1093\/bioinformatics\/btx630","volume":"34","author":"S Deepaisarn","year":"2018","unstructured":"Deepaisarn S, Tar PD, Thacker NA, Seepujak A, McMahon AW (2018) Quantifying biological samples using linear Poisson independent component analysis for MALDI-ToF mass spectra. Bioinformatics 34(6):1001\u20131008","journal-title":"Bioinformatics"},{"issue":"14","key":"9911_CR22","doi-asserted-by":"publisher","first-page":"5593","DOI":"10.1021\/ac901065s","volume":"81","author":"PD Piehowski","year":"2009","unstructured":"Piehowski PD, Davey AM, Kurczy ME et al (2009) Time-of-flight secondary ion mass spectrometry imaging of subcellular lipid heterogeneity: Poisson counting and spatial resolution. Anal Chem 81(14):5593\u20135602","journal-title":"Anal Chem"},{"issue":"3","key":"9911_CR23","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1002\/mas.21602","volume":"39","author":"N Verbeeck","year":"2020","unstructured":"Verbeeck N, Caprioli RM, Van de Plas R (2020) Unsupervised machine learning for exploratory data analysis in imaging mass spectrometry. Mass Spectrom Rev 39(3):245\u2013291","journal-title":"Mass Spectrom Rev"},{"issue":"14","key":"9911_CR24","doi-asserted-by":"publisher","first-page":"2129","DOI":"10.1002\/cbic.201100411","volume":"12","author":"LS Eberlin","year":"2011","unstructured":"Eberlin LS, Ferreira CR, Dill AL, Ifa DR, Cheng L, Cooks RG (2011) Nondestructive, histologically compatible tissue imaging by desorption electrospray ionization mass spectrometry. Chembiochem 12(14):2129\u20132132","journal-title":"Chembiochem"},{"issue":"2","key":"9911_CR25","doi-asserted-by":"publisher","first-page":"246","DOI":"10.2967\/jnumed.109.068775","volume":"51","author":"S Baba","year":"2010","unstructured":"Baba S, Jacene HA, Engles JM, Honda H, Wahl RL (2010) CT Hounsfield units of brown adipose tissue increase with activation: preclinical and clinical studies. J Nucl Med 51(2):246\u2013250","journal-title":"J Nucl Med"},{"issue":"7","key":"9911_CR26","doi-asserted-by":"publisher","first-page":"1562","DOI":"10.1194\/jlr.M800019-JLR200","volume":"49","author":"I Murano","year":"2008","unstructured":"Murano I, Barbatelli G, Parisani V et al (2008) Dead adipocytes, detected as crown-like structures, are prevalent in visceral fat depots of genetically obese mice. J Lipid Res 49(7):1562\u20131568","journal-title":"J Lipid Res"},{"issue":"3","key":"9911_CR27","doi-asserted-by":"publisher","first-page":"608","DOI":"10.1016\/j.jhep.2018.04.015","volume":"69","author":"M Ebadi","year":"2018","unstructured":"Ebadi M, Tandon P, Moctezuma-Velazquez C et al (2018) Low subcutaneous adiposity associates with higher mortality in female patients with cirrhosis. J Hepatol 69(3):608\u2013616","journal-title":"J Hepatol"}],"container-title":["European Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-023-09911-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00330-023-09911-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-023-09911-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,19]],"date-time":"2024-02-19T21:08:47Z","timestamp":1708376927000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00330-023-09911-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,1]]},"references-count":27,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2024,3]]}},"alternative-id":["9911"],"URL":"https:\/\/doi.org\/10.1007\/s00330-023-09911-7","relation":{},"ISSN":["1432-1084"],"issn-type":[{"value":"1432-1084","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,1]]},"assertion":[{"value":"13 November 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 May 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 May 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 September 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The scientific guarantor of this publication is O. Gofrit.","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":"One of the authors (E. Bentov-Arava) has significant statistical expertise.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 obtained from all subjects (patients) in this study.","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":"NA","order":7,"name":"Ethics","group":{"name":"EthicsHeading","label":"Study subjects or cohorts overlap"}},{"value":"\u2022 Prospective\u2022 Observational\u2022 One Institution study","order":8,"name":"Ethics","group":{"name":"EthicsHeading","label":"Methodology"}}]}}