{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T17:14:32Z","timestamp":1740158072132,"version":"3.37.3"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2019,7,18]],"date-time":"2019-07-18T00:00:00Z","timestamp":1563408000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,7,18]],"date-time":"2019-07-18T00:00:00Z","timestamp":1563408000000},"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":[[2019,9]]},"DOI":"10.1007\/s13246-019-00773-2","type":"journal-article","created":{"date-parts":[[2019,7,18]],"date-time":"2019-07-18T11:02:47Z","timestamp":1563447767000},"page":"871-885","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Optimal b-values for diffusion kurtosis imaging in invasive ductal carcinoma versus ductal carcinoma in situ breast lesions"],"prefix":"10.1007","volume":"42","author":[{"given":"Filipa","family":"Borlinhas","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0025-863X","authenticated-orcid":false,"given":"Raquel C.","family":"Concei\u00e7\u00e3o","sequence":"additional","affiliation":[]},{"given":"Hugo A.","family":"Ferreira","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,7,18]]},"reference":[{"key":"773_CR1","doi-asserted-by":"publisher","first-page":"698","DOI":"10.1002\/nbm.1518","volume":"23","author":"JH Jensen","year":"2010","unstructured":"Jensen JH, Helpern JA (2010) MRI quantification of non-Gaussian water diffusion by kurtosis analysis. NMR Biomed 23:698\u2013710. \n                    https:\/\/doi.org\/10.1002\/nbm.1518","journal-title":"NMR Biomed"},{"key":"773_CR2","doi-asserted-by":"publisher","first-page":"1432","DOI":"10.1002\/mrm.20508","volume":"53","author":"JH Jensen","year":"2005","unstructured":"Jensen JH, Helpern JA, Ramani A et al (2005) Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging. Magn Reson Med 53:1432\u20131440. \n                    https:\/\/doi.org\/10.1002\/mrm.20508","journal-title":"Magn Reson Med"},{"key":"773_CR3","doi-asserted-by":"publisher","first-page":"1190","DOI":"10.1002\/jmri.24985","volume":"42","author":"AB Rosenkrantz","year":"2015","unstructured":"Rosenkrantz AB, Padhani AR, Chenevert TL et al (2015) Body diffusion kurtosis imaging: basic principles, applications, and considerations for clinical practice. J Magn Reson Imaging 42:1190\u20131202. \n                    https:\/\/doi.org\/10.1002\/jmri.24985","journal-title":"J Magn Reson Imaging"},{"key":"773_CR4","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1016\/j.compmedimag.2013.04.007","volume":"37","author":"X Yan","year":"2013","unstructured":"Yan X, Zhou M, Ying L et al (2013) Evaluation of optimized b-value sampling schemas for diffusion kurtosis imaging with an application to stroke patient data. Comput Med Imaging Graph 37:272\u2013280. \n                    https:\/\/doi.org\/10.1016\/j.compmedimag.2013.04.007","journal-title":"Comput Med Imaging Graph"},{"key":"773_CR5","doi-asserted-by":"publisher","first-page":"661","DOI":"10.1002\/nbm.1520","volume":"23","author":"DA Yablonskiy","year":"2010","unstructured":"Yablonskiy DA, Sukstanskii AL (2010) Theoretical models of the diffusion weighted MR signal. NMR Biomed 23:661\u2013681. \n                    https:\/\/doi.org\/10.1002\/nbm.1520","journal-title":"NMR Biomed"},{"key":"773_CR6","doi-asserted-by":"publisher","first-page":"836","DOI":"10.1002\/nbm.1506","volume":"23","author":"EX Wu","year":"2010","unstructured":"Wu EX, Cheung MM (2010) MR diffusion kurtosis imaging for neural tissue characterization. NMR Biomed 23:836\u2013848. \n                    https:\/\/doi.org\/10.1002\/nbm.1506","journal-title":"NMR Biomed"},{"key":"773_CR7","doi-asserted-by":"publisher","first-page":"W543","DOI":"10.2214\/AJR.14.13235","volume":"204","author":"S Goshima","year":"2015","unstructured":"Goshima S, Kanematsu M, Noda Y et al (2015) Diffusion kurtosis imaging to assess response to treatment in hypervascular hepatocellular carcinoma. Am J Roentgenol 204:W543\u2013W549. \n                    https:\/\/doi.org\/10.2214\/AJR.14.13235","journal-title":"Am J Roentgenol"},{"key":"773_CR8","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1097\/RLI.0000000000000082","volume":"49","author":"L Filli","year":"2014","unstructured":"Filli L, Wurnig M, Nanz D et al (2014) Whole-body diffusion kurtosis imaging. Invest Radiol 49:773\u2013778. \n                    https:\/\/doi.org\/10.1097\/RLI.0000000000000082","journal-title":"Invest Radiol"},{"key":"773_CR9","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1007\/s00062-015-0469-9","volume":"26","author":"M Marrale","year":"2016","unstructured":"Marrale M, Collura G, Brai M et al (2016) Physics, techniques and review of neuroradiological applications of diffusion kurtosis imaging (DKI). Clin Neuroradiol 26:391\u2013403. \n                    https:\/\/doi.org\/10.1007\/s00062-015-0469-9","journal-title":"Clin Neuroradiol"},{"key":"773_CR10","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1177\/0284185117706608","volume":"59","author":"J Budjan","year":"2018","unstructured":"Budjan J, Sauter EA, Zoellner FG et al (2018) Diffusion kurtosis imaging of the liver at 3 Tesla: in vivo comparison to standard diffusion-weighted imaging. Acta radiol 59:18\u201325. \n                    https:\/\/doi.org\/10.1177\/0284185117706608","journal-title":"Acta radiol"},{"key":"773_CR11","doi-asserted-by":"publisher","first-page":"1499","DOI":"10.1002\/jmri.25696","volume":"46","author":"HM Li","year":"2017","unstructured":"Li HM, Zhao SH, Qiang JW et al (2017) Diffusion kurtosis imaging for differentiating borderline from malignant epithelial ovarian tumors: a correlation with Ki-67 expression. J Magn Reson Imaging 46:1499\u20131506. \n                    https:\/\/doi.org\/10.1002\/jmri.25696","journal-title":"J Magn Reson Imaging"},{"key":"773_CR12","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1148\/radiol.12112290","volume":"264","author":"AB Rosenkrantz","year":"2012","unstructured":"Rosenkrantz AB, Sigmund EE, Johnson G et al (2012) Prostate cancer: feasibility and preliminary experience of a diffusional kurtosis model for detection and assessment of aggressiveness of peripheral zone cancer. Radiology 264:126\u2013135. \n                    https:\/\/doi.org\/10.1148\/radiol.12112290","journal-title":"Radiology"},{"key":"773_CR13","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1016\/j.mri.2014.01.006","volume":"32","author":"G Pentang","year":"2014","unstructured":"Pentang G, Lanzman RS, Heusch P et al (2014) Diffusion kurtosis imaging of the human kidney: a feasibility study. Magn Reson Imaging 32:413\u2013420. \n                    https:\/\/doi.org\/10.1016\/j.mri.2014.01.006","journal-title":"Magn Reson Imaging"},{"key":"773_CR14","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1097\/RCT.0000000000000197","volume":"39","author":"S Suo","year":"2015","unstructured":"Suo S, Chen X, Ji X et al (2015) Investigation of the non-gaussian water diffusion properties in bladder cancer using diffusion kurtosis imaging: a preliminary study. J Comput Assist Tomogr 39:281\u2013285. \n                    https:\/\/doi.org\/10.1097\/.0000000000000197","journal-title":"J Comput Assist Tomogr"},{"key":"773_CR15","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-017-5094-3","author":"Y Cui","year":"2017","unstructured":"Cui Y, Yang X, Du X et al (2017) Whole-tumour diffusion kurtosis MR imaging histogram analysis of rectal adenocarcinoma: Correlation with clinical pathologic prognostic factors. Eur Radiol. \n                    https:\/\/doi.org\/10.1007\/s00330-017-5094-3","journal-title":"Eur Radiol"},{"key":"773_CR16","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.25768","author":"L Huang","year":"2017","unstructured":"Huang L, Li X, Huang S et al (2017) Diffusion kurtosis MRI versus conventional diffusion-weighted imaging for evaluating inflammatory activity in Crohn\u2019s disease. J Magn Reson Imaging. \n                    https:\/\/doi.org\/10.1002\/jmri.25768","journal-title":"J Magn Reson Imaging"},{"key":"773_CR17","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1594\/ecr2012\/C-1369","volume-title":"European Congress of Radiology","author":"F Borlinhas","year":"2012","unstructured":"Borlinhas F, Lacerda L, Andrade A, Ferreira HA (2012) Diffusional kurtosis as a biomarker of breast tumors\u2014C-1369. European Congress of Radiology. European Society of Radiology, Wien, Austria, pp 1\u201320. \n                    https:\/\/doi.org\/10.1594\/ecr2012\/C-1369"},{"key":"773_CR18","unstructured":"Borlinhas F (2012) Quantifica\u00e7\u00e3o da Difus\u00e3o na Resson\u00e2ncia Magn\u00e9tica da mama\u2014ADC e Kurtosis. Escola Superior de Tecnologia da Sa\u00fade de Lisboa (ESTESL). \n                    http:\/\/hdl.handle.net\/10400.21\/1728\n                    \n                  . Accessed 20 Setembro 2018"},{"key":"773_CR19","doi-asserted-by":"publisher","first-page":"e113240","DOI":"10.1371\/journal.pone.0113240","volume":"9","author":"D Wu","year":"2014","unstructured":"Wu D, Li G, Zhang J et al (2014) Characterization of breast tumors using diffusion kurtosis imaging (DKI). PLoS ONE 9:e113240. \n                    https:\/\/doi.org\/10.1371\/journal.pone.0113240","journal-title":"PLoS ONE"},{"key":"773_CR20","doi-asserted-by":"publisher","first-page":"1197","DOI":"10.1007\/s00330-014-3146-5","volume":"24","author":"L Nogueira","year":"2014","unstructured":"Nogueira L, Brand\u00e3o S, Matos E et al (2014) Application of the diffusion kurtosis model for the study of breast lesions. Eur Radiol 24:1197\u20131203. \n                    https:\/\/doi.org\/10.1007\/s00330-014-3146-5","journal-title":"Eur Radiol"},{"key":"773_CR21","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2017170273","author":"S Bickelhaupt","year":"2018","unstructured":"Bickelhaupt S, Jaeger PF, Laun FB et al (2018) Radiomics based on adapted diffusion kurtosis imaging helps to clarify most mammographic findings suspicious for cancer. Radiology. \n                    https:\/\/doi.org\/10.1148\/radiol.2017170273","journal-title":"Radiology"},{"key":"773_CR22","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1148\/radiol.15141625","volume":"277","author":"K Sun","year":"2015","unstructured":"Sun K, Chen X, Chai W et al (2015) Breast cancer: diffusion kurtosis MR imaging\u2014diagnostic accuracy and correlation with clinical-pathologic factors. Radiology 277:46\u201355. \n                    https:\/\/doi.org\/10.1148\/radiol.15141625","journal-title":"Radiology"},{"key":"773_CR23","doi-asserted-by":"publisher","first-page":"20160873","DOI":"10.1259\/bjr.20160873","volume":"90","author":"A Christou","year":"2017","unstructured":"Christou A, Ghiatas A, Priovolos D et al (2017) Accuracy of diffusion kurtosis imaging in characterization of breast lesions. Br J Radiol 90:20160873. \n                    https:\/\/doi.org\/10.1259\/bjr.20160873","journal-title":"Br J Radiol"},{"key":"773_CR24","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.26249","author":"Y Huang","year":"2018","unstructured":"Huang Y, Lin Y, Hu W et al (2018) Diffusion kurtosis at 3.0T as an in vivo imaging marker for breast cancer characterization: correlation with prognostic factors. J Magn Reson Imaging. \n                    https:\/\/doi.org\/10.1002\/jmri.26249","journal-title":"J Magn Reson Imaging"},{"key":"773_CR25","doi-asserted-by":"publisher","first-page":"1059","DOI":"10.1148\/rg.314105160","volume":"31","author":"R Woodhams","year":"2011","unstructured":"Woodhams R, Ramadan S, Stanwell P et al (2011) Diffusion-weighted imaging of the breast: principles and clinical applications. RadioGraphics 31:1059\u20131084. \n                    https:\/\/doi.org\/10.1148\/rg.314105160","journal-title":"RadioGraphics"},{"key":"773_CR26","doi-asserted-by":"publisher","first-page":"318","DOI":"10.1148\/radiol.13130420","volume":"268","author":"D Le Bihan","year":"2013","unstructured":"Le Bihan D (2013) Apparent diffusion coefficient and beyond: what diffusion MR imaging can tell us about tissue structure. Radiology 268:318\u2013322. \n                    https:\/\/doi.org\/10.1148\/radiol.13130420","journal-title":"Radiology"},{"key":"773_CR27","doi-asserted-by":"publisher","first-page":"601","DOI":"10.1016\/j.mric.2013.04.007","volume":"21","author":"SC Partridge","year":"2013","unstructured":"Partridge SC, McDonald ES (2013) Diffusion weighted MRI of the breast: protocol optimization, guidelines for interpretation, and potential clinical applications. Magn Reson Imaging Clin N Am 21:601\u2013624. \n                    https:\/\/doi.org\/10.1016\/j.mric.2013.04.007","journal-title":"Magn Reson Imaging Clin N Am"},{"key":"773_CR28","doi-asserted-by":"publisher","first-page":"819","DOI":"10.1109\/TMI.2009.2037915","volume":"29","author":"DHJ Poot","year":"2010","unstructured":"Poot DHJ, den Dekker AJ, Achten E et al (2010) Optimal experimental design for diffusion kurtosis imaging. IEEE Trans Med Imaging 29:819\u2013829. \n                    https:\/\/doi.org\/10.1109\/TMI.2009.2037915","journal-title":"IEEE Trans Med Imaging"},{"key":"773_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/nbm.3777","volume":"30","author":"A Chuhutin","year":"2017","unstructured":"Chuhutin A, Hansen B, Jespersen SN (2017) Precision and accuracy of diffusion kurtosis estimation and the influence of b-value selection. NMR Biomed 30:1\u201314. \n                    https:\/\/doi.org\/10.1002\/nbm.3777","journal-title":"NMR Biomed"},{"key":"773_CR30","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1593\/neo.81328","volume":"11","author":"AR Padhani","year":"2009","unstructured":"Padhani AR, Liu G, Mu-Koh D et al (2009) Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. Neoplasia 11:102\u2013125. \n                    https:\/\/doi.org\/10.1593\/neo.81328","journal-title":"Neoplasia"},{"key":"773_CR31","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1007\/s12194-013-0206-5","volume":"6","author":"I Fukunaga","year":"2013","unstructured":"Fukunaga I, Hori M, Masutani Y et al (2013) Effects of diffusional kurtosis imaging parameters on diffusion quantification. Radiol Phys Technol 6:343\u2013348. \n                    https:\/\/doi.org\/10.1007\/s12194-013-0206-5","journal-title":"Radiol Phys Technol"},{"key":"773_CR32","doi-asserted-by":"publisher","first-page":"1351","DOI":"10.2214\/AJR.10.5515","volume":"196","author":"DM Koh","year":"2011","unstructured":"Koh DM, Collins DJ, Orton MR (2011) Intravoxel incoherent motion in body diffusion-weighted MRI: reality and challenges. Am J Roentgenol 196:1351\u20131361. \n                    https:\/\/doi.org\/10.2214\/AJR.10.5515","journal-title":"Am J Roentgenol"},{"key":"773_CR33","doi-asserted-by":"publisher","first-page":"868","DOI":"10.1097\/RCT.0000000000000621","volume":"41","author":"M-C Chou","year":"2017","unstructured":"Chou M-C, Ko C-W, Chiu Y-H et al (2017) Effects of B value on quantification of rapid diffusion kurtosis imaging in normal and acute ischemic brain tissues. J Comput Assist Tomogr 41:868\u2013876. \n                    https:\/\/doi.org\/10.1097\/RCT.0000000000000621","journal-title":"J Comput Assist Tomogr"},{"key":"773_CR34","doi-asserted-by":"publisher","first-page":"41","DOI":"10.2463\/mrms.2014-0139","volume":"15","author":"S Yokosawa","year":"2015","unstructured":"Yokosawa S, Sasaki M, Bito Y et al (2015) Optimization of scan parameters to reduce acquisition time for diffusion kurtosis imaging at 1.5 T. Magn Reson Med Sci 15:41\u201348. \n                    https:\/\/doi.org\/10.2463\/mrms.2014-0139","journal-title":"Magn Reson Med Sci"},{"key":"773_CR35","doi-asserted-by":"publisher","first-page":"512","DOI":"10.1002\/jmri.24184","volume":"39","author":"LN Mazzoni","year":"2014","unstructured":"Mazzoni LN, Lucarini S, Chiti S et al (2014) Diffusion-weighted signal models in healthy and cancerous peripheral prostate tissues: comparison of outcomes obtained at different b-values. J Magn Reson Imaging 39:512\u2013518. \n                    https:\/\/doi.org\/10.1002\/jmri.24184","journal-title":"J Magn Reson Imaging"},{"key":"773_CR36","doi-asserted-by":"publisher","first-page":"1212","DOI":"10.1016\/j.mri.2015.07.004","volume":"33","author":"H Merisaari","year":"2015","unstructured":"Merisaari H, Toivonen J, Pesola M et al (2015) Diffusion-weighted imaging of prostate cancer: effect of b-value distribution on repeatability and cancer characterization. Magn Reson Imaging 33:1212\u20131218. \n                    https:\/\/doi.org\/10.1016\/j.mri.2015.07.004","journal-title":"Magn Reson Imaging"},{"key":"773_CR37","doi-asserted-by":"publisher","first-page":"1954","DOI":"10.1002\/mrm.25310","volume":"73","author":"H Merisaari","year":"2015","unstructured":"Merisaari H, Jambor I (2015) Optimization of b-value distribution for four mathematical models of prostate cancer diffusion-weighted imaging using b-values up to 2000 s\/mm2: simulation and repeatability study. Magn Reson Med 73:1954\u20131969. \n                    https:\/\/doi.org\/10.1002\/mrm.25310","journal-title":"Magn Reson Med"},{"key":"773_CR38","doi-asserted-by":"publisher","first-page":"S1","DOI":"10.1016\/j.ejso.2009.01.008","volume":"35","author":"Association of Breast Surgery at BASO","year":"2009","unstructured":"Association of Breast Surgery at BASO (2009) Surgical guidelines for the management of breast cancer. Eur J Surg Oncol 35:S1\u2013S22. \n                    https:\/\/doi.org\/10.1016\/j.ejso.2009.01.008","journal-title":"Eur J Surg Oncol"},{"key":"773_CR39","doi-asserted-by":"publisher","first-page":"1358","DOI":"10.1002\/jmri.26059","volume":"48","author":"T Li","year":"2018","unstructured":"Li T, Yu T, Li L et al (2018) Use of diffusion kurtosis imaging and quantitative dynamic contrast-enhanced MRI for the differentiation of breast tumors. J Magn Reson Imaging 48:1358\u20131366. \n                    https:\/\/doi.org\/10.1002\/jmri.26059","journal-title":"J Magn Reson Imaging"},{"key":"773_CR40","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":"773_CR41","doi-asserted-by":"publisher","first-page":"75597","DOI":"10.18632\/oncotarget.17491","volume":"8","author":"F Hu","year":"2017","unstructured":"Hu F, Tang W, Sun Y et al (2017) The value of diffusion kurtosis imaging in assessing pathological complete response to neoadjuvant chemoradiation therapy in rectal cancer: a comparison with conventional diffusion-weighted imaging. Oncotarget 8:75597\u201375606. \n                    https:\/\/doi.org\/10.18632\/oncotarget.17491","journal-title":"Oncotarget"},{"key":"773_CR42","unstructured":"Borlinhas F, Nogueira L, Brand\u00e3o S, et al (2015) Diffusion kurtosis breast imaging model\u2014which should be the highest b-value? In: ISMRM 24th annual meeting\u20142015, proceedings of the International Society for Magnetic Resonance, 24. Singapore, p 3017"},{"key":"773_CR43","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1002\/nbm.1020","volume":"19","author":"H Lu","year":"2006","unstructured":"Lu H, Jensen JH, Ramani A, Helpern JA (2006) Three-dimensional characterization of non-gaussian water diffusion in humans using diffusion kurtosis imaging. NMR Biomed 19:236\u2013247. \n                    https:\/\/doi.org\/10.1002\/nbm.1020","journal-title":"NMR Biomed"},{"key":"773_CR44","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1002\/jmri.25479","volume":"45","author":"SC Partridge","year":"2017","unstructured":"Partridge SC, Nissan N, Rahbar H et al (2017) Diffusion-weighted breast MRI: clinical applications and emerging techniques. J Magn Reson Imaging 45:337\u2013355. \n                    https:\/\/doi.org\/10.1002\/jmri.25479","journal-title":"J Magn Reson Imaging"}],"container-title":["Australasian Physical & Engineering Sciences in Medicine"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13246-019-00773-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13246-019-00773-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13246-019-00773-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,7,16]],"date-time":"2020-07-16T23:32:09Z","timestamp":1594942329000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13246-019-00773-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,18]]},"references-count":44,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2019,9]]}},"alternative-id":["773"],"URL":"https:\/\/doi.org\/10.1007\/s13246-019-00773-2","relation":{},"ISSN":["0158-9938","1879-5447"],"issn-type":[{"type":"print","value":"0158-9938"},{"type":"electronic","value":"1879-5447"}],"subject":[],"published":{"date-parts":[[2019,7,18]]},"assertion":[{"value":"15 November 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 June 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 July 2019","order":3,"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":"Conflicts 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 the study.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}