{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T07:07:41Z","timestamp":1769152061592,"version":"3.49.0"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2022,11,17]],"date-time":"2022-11-17T00:00:00Z","timestamp":1668643200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,11,17]],"date-time":"2022-11-17T00:00:00Z","timestamp":1668643200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"crossref","award":["NRF-2019R1A2C1089939"],"award-info":[{"award-number":["NRF-2019R1A2C1089939"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"crossref","award":["NRF-2020M3E5D2A01084578"],"award-info":[{"award-number":["NRF-2020M3E5D2A01084578"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Radiol"],"DOI":"10.1007\/s00330-022-09207-2","type":"journal-article","created":{"date-parts":[[2022,11,17]],"date-time":"2022-11-17T06:02:46Z","timestamp":1668664966000},"page":"2195-2206","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Impact of lesion size on reproducibility of quantitative measurement and radiomic features in vessel wall MRI"],"prefix":"10.1007","volume":"33","author":[{"given":"Minjae","family":"Kim","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5559-7973","authenticated-orcid":false,"given":"Seung Chai","family":"Jung","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seo Young","family":"Park","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bum Woo","family":"Park","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keum Mi","family":"Choi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,11,17]]},"reference":[{"key":"9207_CR1","doi-asserted-by":"publisher","first-page":"218","DOI":"10.3174\/ajnr.A4893","volume":"38","author":"DM Mandell","year":"2017","unstructured":"Mandell DM, Mossa-Basha M, Qiao Y et al (2017) Intracranial vessel wall MRI: principles and expert consensus recommendations of the American Society of Neuroradiology. AJNR Am J Neuroradiol 38:218\u2013229","journal-title":"AJNR Am J Neuroradiol"},{"key":"9207_CR2","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1161\/CIRCULATIONAHA.113.006919","volume":"130","author":"N Dieleman","year":"2014","unstructured":"Dieleman N, van der Kolk AG, Zwanenburg JJ et al (2014) Imaging intracranial vessel wall pathology with magnetic resonance imaging: current prospects and future directions. Circulation 130:192\u2013201","journal-title":"Circulation"},{"key":"9207_CR3","doi-asserted-by":"publisher","first-page":"507","DOI":"10.1016\/j.atherosclerosis.2010.06.035","volume":"212","author":"WH Xu","year":"2010","unstructured":"Xu WH, Li ML, Gao S et al (2010) In vivo high-resolution MR imaging of symptomatic and asymptomatic middle cerebral artery atherosclerotic stenosis. Atherosclerosis 212:507\u2013511","journal-title":"Atherosclerosis"},{"key":"9207_CR4","doi-asserted-by":"publisher","first-page":"627","DOI":"10.1212\/01.wnl.0000342470.69739.b3","volume":"72","author":"RH Swartz","year":"2009","unstructured":"Swartz RH, Bhuta SS, Farb RI et al (2009) Intracranial arterial wall imaging using high-resolution 3-tesla contrast-enhanced MRI. Neurology 72:627\u2013634","journal-title":"Neurology"},{"key":"9207_CR5","doi-asserted-by":"publisher","first-page":"433","DOI":"10.1159\/000209238","volume":"27","author":"CW Ryu","year":"2009","unstructured":"Ryu CW, Jahng GH, Kim EJ, Choi WS, Yang DM (2009) High resolution wall and lumen MRI of the middle cerebral arteries at 3 tesla. Cerebrovasc Dis 27:433\u2013442","journal-title":"Cerebrovasc Dis"},{"key":"9207_CR6","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1016\/j.atherosclerosis.2008.10.019","volume":"204","author":"ML Li","year":"2009","unstructured":"Li ML, Xu WH, Song L et al (2009) Atherosclerosis of middle cerebral artery: evaluation with high-resolution MR imaging at 3T. Atherosclerosis 204:447\u2013452","journal-title":"Atherosclerosis"},{"key":"9207_CR7","doi-asserted-by":"publisher","first-page":"e182","DOI":"10.1259\/bjr\/74101656","volume":"83","author":"T Saam","year":"2010","unstructured":"Saam T, Habs M, Pollatos O et al (2010) High-resolution black-blood contrast-enhanced T1 weighted images for the diagnosis and follow-up of intracranial arteritis. Br J Radiol 83:e182\u2013e184","journal-title":"Br J Radiol"},{"key":"9207_CR8","doi-asserted-by":"crossref","unstructured":"van Hespen KM, Zwanenburg JJM, Harteveld AA, Luijten PR, Hendrikse J, Kuijf HJ (2019) Intracranial vessel wall magnetic resonance imaging does not allow for accurate and precise wall thickness measurements: an ex vivo study. Stroke 50:e283\u2013e284","DOI":"10.1161\/STROKEAHA.119.026497"},{"key":"9207_CR9","doi-asserted-by":"publisher","first-page":"1020","DOI":"10.1002\/mrm.21758","volume":"60","author":"L Antiga","year":"2008","unstructured":"Antiga L, Wasserman BA, Steinman DA (2008) On the overestimation of early wall thickening at the carotid bulb by black blood MRI, with implications for coronary and vulnerable plaque imaging. Magn Reson Med 60:1020\u20131028","journal-title":"Magn Reson Med"},{"key":"9207_CR10","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1002\/jmri.22592","volume":"34","author":"Y Qiao","year":"2011","unstructured":"Qiao Y, Steinman DA, Qin Q et al (2011) Intracranial arterial wall imaging using three-dimensional high isotropic resolution black blood MRI at 3.0 Tesla. J Magn Reson Imaging 34:22\u201330","journal-title":"J Magn Reson Imaging"},{"key":"9207_CR11","doi-asserted-by":"publisher","first-page":"2840","DOI":"10.1109\/TBME.2019.2896972","volume":"66","author":"F Shi","year":"2019","unstructured":"Shi F, Yang Q, Guo X et al (2019) Intracranial vessel wall segmentation using convolutional neural networks. IEEE Trans Biomed Eng 66:2840\u20132847","journal-title":"IEEE Trans Biomed Eng"},{"key":"9207_CR12","doi-asserted-by":"crossref","unstructured":"Gillies RJ, Kinahan PE, Hricak H (2016) Radiomics: images are more than pictures, they are data. Radiology 278:563\u2013577","DOI":"10.1148\/radiol.2015151169"},{"key":"9207_CR13","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":"9207_CR14","doi-asserted-by":"publisher","first-page":"1124","DOI":"10.3348\/kjr.2018.0070","volume":"20","author":"JE Park","year":"2019","unstructured":"Park JE, Park SY, Kim HJ, Kim HS (2019) Reproducibility and generalizability in radiomics modeling: possible strategies in radiologic and statistical perspectives. Korean J Radiol 20:1124\u20131137","journal-title":"Korean J Radiol"},{"key":"9207_CR15","doi-asserted-by":"publisher","first-page":"3912","DOI":"10.1007\/s00330-018-5395-1","volume":"28","author":"Z Shi","year":"2018","unstructured":"Shi Z, Zhu C, Degnan AJ et al (2018) Identification of high-risk plaque features in intracranial atherosclerosis: initial experience using a radiomic approach. Eur Radiol 28:3912\u20133921","journal-title":"Eur Radiol"},{"key":"9207_CR16","doi-asserted-by":"publisher","first-page":"860","DOI":"10.1148\/radiol.2016151124","volume":"280","author":"Y Qiao","year":"2016","unstructured":"Qiao Y, Guallar E, Suri FK et al (2016) MR imaging measures of intracranial atherosclerosis in a population-based study. Radiology 280:860\u2013868","journal-title":"Radiology"},{"key":"9207_CR17","doi-asserted-by":"publisher","first-page":"607","DOI":"10.1007\/s11548-013-0840-8","volume":"8","author":"M Nolden","year":"2013","unstructured":"Nolden M, Zelzer S, Seitel A et al (2013) The Medical Imaging Interaction Toolkit: challenges and advances : 10 years of open-source development. Int J Comput Assist Radiol Surg 8:607\u2013620","journal-title":"Int J Comput Assist Radiol Surg"},{"key":"9207_CR18","doi-asserted-by":"publisher","first-page":"2033","DOI":"10.1016\/j.neuroimage.2010.09.025","volume":"54","author":"BB Avants","year":"2011","unstructured":"Avants BB, Tustison NJ, Song G, Cook PA, Klein A, Gee JC (2011) A reproducible evaluation of ANTs similarity metric performance in brain image registration. Neuroimage 54:2033\u20132044","journal-title":"Neuroimage"},{"key":"9207_CR19","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/j.nicl.2014.08.008","volume":"6","author":"RT Shinohara","year":"2014","unstructured":"Shinohara RT, Sweeney EM, Goldsmith J et al (2014) Statistical normalization techniques for magnetic resonance imaging. Neuroimage Clin 6:9\u201319","journal-title":"Neuroimage Clin"},{"key":"9207_CR20","doi-asserted-by":"crossref","unstructured":"Zwanenburg A, Valli\u00e8res M, Abdalah MA et al (2020) The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping. Radiology 295:328\u2013338","DOI":"10.1148\/radiol.2020191145"},{"key":"9207_CR21","doi-asserted-by":"publisher","first-page":"255","DOI":"10.2307\/2532051","volume":"45","author":"LI Lin","year":"1989","unstructured":"Lin LI (1989) A concordance correlation-coefficient to evaluate reproducibility. Biometrics 45:255\u2013268","journal-title":"Biometrics"},{"key":"9207_CR22","doi-asserted-by":"crossref","unstructured":"Zhang X, Zhu C, Peng W et al (2015) Scan-rescan reproducibility of high resolution magnetic resonance imaging of atherosclerotic plaque in the middle cerebral artery. PLoS One 10:e0134913","DOI":"10.1371\/journal.pone.0134913"},{"key":"9207_CR23","doi-asserted-by":"crossref","unstructured":"Xu P, Xue Y, Schoepf UJ et al (2021) Radiomics: the next frontier of cardiac computed tomography. Circ Cardiovasc Imaging 14:e011747","DOI":"10.1161\/CIRCIMAGING.120.011747"},{"key":"9207_CR24","doi-asserted-by":"crossref","unstructured":"Rizzo S, Botta F, Raimondi S et al (2018) Radiomics: the facts and the challenges of image analysis. Eur Radiol Exp 2:36","DOI":"10.1186\/s41747-018-0068-z"},{"key":"9207_CR25","doi-asserted-by":"crossref","unstructured":"Chen X, Udupa JK, Bagci U, Zhuge Y, Yao J (2012) Medical image segmentation by combining graph cuts and oriented active appearance models. IEEE Trans Image Process 21:2035\u20132046","DOI":"10.1109\/TIP.2012.2186306"},{"key":"9207_CR26","doi-asserted-by":"crossref","unstructured":"Rios Velazquez E, Aerts HJ, Gu Y et al (2012) A semiautomatic CT-based ensemble segmentation of lung tumors: comparison with oncologists\u2019 delineations and with the surgical specimen. Radiother Oncol 105:167\u2013173","DOI":"10.1016\/j.radonc.2012.09.023"},{"key":"9207_CR27","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1016\/j.radonc.2018.10.027","volume":"130","author":"ML Welch","year":"2019","unstructured":"Welch ML, McIntosh C, Haibe-Kains B et al (2019) Vulnerabilities of radiomic signature development: the need for safeguards. Radiother Oncol 130:2\u20139","journal-title":"Radiother Oncol"},{"key":"9207_CR28","doi-asserted-by":"crossref","unstructured":"Mali SA, Ibrahim A, Woodruff HC et al (2021) Making radiomics more reproducible across scanner and imaging protocol variations: a review of harmonization methods. J Pers Med 11:842","DOI":"10.3390\/jpm11090842"}],"container-title":["European Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-022-09207-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00330-022-09207-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-022-09207-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,16]],"date-time":"2023-02-16T18:10:46Z","timestamp":1676571046000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00330-022-09207-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,17]]},"references-count":28,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2023,3]]}},"alternative-id":["9207"],"URL":"https:\/\/doi.org\/10.1007\/s00330-022-09207-2","relation":{},"ISSN":["1432-1084"],"issn-type":[{"value":"1432-1084","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,17]]},"assertion":[{"value":"20 April 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 September 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 September 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 November 2022","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 Seung Chai Jung.","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":"Seo Young Park kindly provided statistical advice for this manuscript.","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 observational\u2022 performed at one institution","order":7,"name":"Ethics","group":{"name":"EthicsHeading","label":"Methodology"}}]}}