{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T15:06:13Z","timestamp":1787497573340,"version":"build-2736575974"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T00:00:00Z","timestamp":1642032000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T00:00:00Z","timestamp":1642032000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82102638"],"award-info":[{"award-number":["82102638"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Peking University Third Hospital\u2019s Research, Innovation and Transformation Fund","award":["BYSYZHKC2020116"],"award-info":[{"award-number":["BYSYZHKC2020116"]}]},{"name":"Key Clinical Projects of Peking University Third Hospital","award":["BYSY2018003"],"award-info":[{"award-number":["BYSY2018003"]}]},{"name":"Beijing Natural Science Foundation","award":["Z190020"],"award-info":[{"award-number":["Z190020"]}]},{"name":"Beijing Natural Science Foundation","award":["7204327"],"award-info":[{"award-number":["7204327"]}]},{"name":"Capital's Funds for Health Improvement and Research","award":["2020-4-40916"],"award-info":[{"award-number":["2020-4-40916"]}]},{"name":"Clinical Medicine Plus X \u2013 Young Scholars Project, Peking University, the Fundamental Research Funds for the Central Universities","award":["PKU2021LCXQ005"],"award-info":[{"award-number":["PKU2021LCXQ005"]}]},{"name":"The National Multidisciplinary Cooperative Diagnosis and Treatment Capacity Building Project for Major Diseases"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Radiol"],"published-print":{"date-parts":[[2022,5]]},"DOI":"10.1007\/s00330-021-08383-x","type":"journal-article","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T07:04:24Z","timestamp":1642057464000},"page":"3565-3575","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Predicting postoperative recovery in cervical spondylotic myelopathy: construction and interpretation of T2*-weighted radiomic-based extra trees models"],"prefix":"10.1007","volume":"32","author":[{"given":"Meng-Ze","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Han-Qiang","family":"Ou-Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jian-Fang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dan","family":"Jin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chun-Jie","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming","family":"Ni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiao-Guang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ning","family":"Lang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liang","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui-Shu","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,1,13]]},"reference":[{"key":"8383_CR1","doi-asserted-by":"publisher","first-page":"408","DOI":"10.1097\/BSD.0000000000000397","volume":"29","author":"A Iyer","year":"2016","unstructured":"Iyer A, Azad TD, Tharin S (2016) Cervical spondylotic myelopathy. Clin Spine Surg 29:408\u2013414","journal-title":"Clin Spine Surg"},{"key":"8383_CR2","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1016\/j.ncl.2012.09.003","volume":"31","author":"M Toledano","year":"2013","unstructured":"Toledano M, Bartleson JD (2013) Cervical spondylotic myelopathy. Neurol Clin 31:287\u2013305","journal-title":"Neurol Clin"},{"key":"8383_CR3","doi-asserted-by":"publisher","first-page":"668","DOI":"10.3171\/2016.10.SPINE16479","volume":"26","author":"SC Craciunas","year":"2017","unstructured":"Craciunas SC, Gorgan MR, Ianosi B, Lee P, Burris J, Cirstea CM (2017) Remote motor system metabolic profile and surgery outcome in cervical spondylotic myelopathy. J Neurosurg Spine 26:668\u2013678","journal-title":"J Neurosurg Spine"},{"key":"8383_CR4","doi-asserted-by":"crossref","unstructured":"Jin RC, Luk KD, Cheung J, Hu Y (2016) A machine learning based prognostic prediction of cervical myelopathy using diffusion tensor imaging. 2016 Ieee International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (Civemsa):62\u201365","DOI":"10.1109\/CIVEMSA.2016.7524318"},{"key":"8383_CR5","doi-asserted-by":"publisher","first-page":"1266","DOI":"10.3174\/ajnr.A5162","volume":"38","author":"AR Martin","year":"2017","unstructured":"Martin AR, De Leener B, Cohen-Adad J et al (2017) A novel MRI biomarker of spinal cord white matter injury: T2*-weighted white matter to gray matter signal intensity ratio. AJNR Am J Neuroradiol 38:1266\u20131273","journal-title":"AJNR Am J Neuroradiol"},{"key":"8383_CR6","doi-asserted-by":"publisher","first-page":"119","DOI":"10.2535\/ofaj.81.119","volume":"81","author":"T Tsurumi","year":"2005","unstructured":"Tsurumi T, Goto N, Shibata M, Goto J, Kamiyama A (2005) A morphological comparison of cervical spondylotic myelopathy: MRI and dissection findings. Okajimas Folia Anat Jpn 81:119\u2013122","journal-title":"Okajimas Folia Anat Jpn"},{"key":"8383_CR7","doi-asserted-by":"publisher","first-page":"668","DOI":"10.1016\/j.spinee.2014.12.001","volume":"15","author":"D Zeitoun","year":"2015","unstructured":"Zeitoun D, El Hajj F, Sariali E, Catonne Y, Pascal-Moussellard H (2015) Evaluation of spinal cord compression and hyperintense intramedullary lesions on T2-weighted sequences in patients with cervical spondylotic myelopathy using flexion-extension MRI protocol. Spine J 15:668\u2013674","journal-title":"Spine J"},{"key":"8383_CR8","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/j.clineuro.2018.09.003","volume":"174","author":"XY Li","year":"2018","unstructured":"Li XY, Lu SB, Sun XY et al (2018) Clinical and magnetic resonance imaging predictors of the surgical outcomes of patients with cervical spondylotic myelopathy. Clin Neurol Neurosurg 174:137\u2013143","journal-title":"Clin Neurol Neurosurg"},{"key":"8383_CR9","doi-asserted-by":"publisher","first-page":"475","DOI":"10.1016\/j.spinee.2010.03.024","volume":"10","author":"A Avadhani","year":"2010","unstructured":"Avadhani A, Rajasekaran S, Shetty AP (2010) Comparison of prognostic value of different MRI classifications of signal intensity change in cervical spondylotic myelopathy. Spine J 10:475\u2013485","journal-title":"Spine J"},{"key":"8383_CR10","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":"8383_CR11","doi-asserted-by":"publisher","first-page":"1234","DOI":"10.1016\/j.mri.2012.06.010","volume":"30","author":"V Kumar","year":"2012","unstructured":"Kumar V, Gu Y, Basu S et al (2012) Radiomics: the process and the challenges. Magn Reson Imaging 30:1234\u20131248","journal-title":"Magn Reson Imaging"},{"key":"8383_CR12","doi-asserted-by":"publisher","first-page":"749","DOI":"10.1038\/nrclinonc.2017.141","volume":"14","author":"P Lambin","year":"2017","unstructured":"Lambin P, Leijenaar RTH, Deist TM et al (2017) Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol 14:749\u2013762","journal-title":"Nat Rev Clin Oncol"},{"key":"8383_CR13","doi-asserted-by":"publisher","first-page":"4670","DOI":"10.1007\/s00330-019-06026-w","volume":"29","author":"Y Liu","year":"2019","unstructured":"Liu Y, Dong D, Zhang L et al (2019) Radiomics in multiple sclerosis and neuromyelitis optica spectrum disorder. Eur Radiol 29:4670\u20134677","journal-title":"Eur Radiol"},{"key":"8383_CR14","doi-asserted-by":"publisher","first-page":"1080","DOI":"10.1016\/j.jocn.2010.12.023","volume":"18","author":"P Zhang","year":"2011","unstructured":"Zhang P, Shen Y, Zhang YZ, Ding WY, Wang LF (2011) Significance of increased signal intensity on MRI in prognosis after surgical intervention for cervical spondylotic myelopathy. J Clin Neurosci 18:1080\u20131083","journal-title":"J Clin Neurosci"},{"key":"8383_CR15","doi-asserted-by":"publisher","first-page":"1508","DOI":"10.1007\/s00586-014-3315-x","volume":"23","author":"HP Moussellard","year":"2014","unstructured":"Moussellard HP, Meyer A, Biot D, Khiami F, Sariali E (2014) Early neurological recovery course after surgical treatment of cervical spondylotic myelopathy: a prospective study with 2-year follow-up using three different functional assessment tests. Eur Spine J 23:1508\u20131514","journal-title":"Eur Spine J"},{"key":"8383_CR16","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1016\/j.wneu.2016.03.075","volume":"97","author":"A Vedantam","year":"2017","unstructured":"Vedantam A, Rao A, Kurpad SN et al (2017) Diffusion tensor imaging correlates with short-term myelopathy outcome in patients with cervical spondylotic myelopathy. World Neurosurg 97:489\u2013494","journal-title":"World Neurosurg"},{"key":"8383_CR17","doi-asserted-by":"publisher","first-page":"129","DOI":"10.2214\/AJR.19.21709","volume":"214","author":"B Kocak","year":"2020","unstructured":"Kocak B, Durmaz ES, Erdim C, Ates E, Kaya OK, Kilickesmez O (2020) Radiomics of renal masses: systematic review of reproducibility and validation strategies. AJR Am J Roentgenol 214:129\u2013136","journal-title":"AJR Am J Roentgenol"},{"key":"8383_CR18","doi-asserted-by":"publisher","first-page":"967","DOI":"10.1007\/s10143-019-01106-3","volume":"43","author":"L Wei","year":"2020","unstructured":"Wei L, Wei Y, Tian Y, Cao P, Yuan W (2020) Does three-grade classification of T2-weighted increased signal intensity reflect the severity of myelopathy and surgical outcomes in patients with cervical compressive myelopathy? A systematic review and meta-analysis. Neurosurg Rev 43:967\u2013976","journal-title":"Neurosurg Rev"},{"key":"8383_CR19","doi-asserted-by":"publisher","first-page":"553","DOI":"10.1148\/radiol.2015142384","volume":"276","author":"JY You","year":"2015","unstructured":"You JY, Lee JW, Lee E, Lee GY, Yeom JS, Kang HS (2015) MR classification system based on axial images for cervical compressive myelopathy. Radiology 276:553\u2013561","journal-title":"Radiology"},{"key":"8383_CR20","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.neuroimage.2016.10.009","volume":"145","author":"B De Leener","year":"2017","unstructured":"De Leener B, Levy S, Dupont SM et al (2017) SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord MRI data. Neuroimage 145:24\u201343","journal-title":"Neuroimage"},{"key":"8383_CR21","doi-asserted-by":"publisher","first-page":"901","DOI":"10.1016\/j.neuroimage.2018.09.081","volume":"184","author":"C Gros","year":"2019","unstructured":"Gros C, De Leener B, Badji A et al (2019) Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks. Neuroimage 184:901\u2013915","journal-title":"Neuroimage"},{"key":"8383_CR22","doi-asserted-by":"publisher","first-page":"e104","DOI":"10.1158\/0008-5472.CAN-17-0339","volume":"77","author":"JJM van Griethuysen","year":"2017","unstructured":"van Griethuysen JJM, Fedorov A, Parmar C et al (2017) Computational radiomics system to decode the radiographic phenotype. Cancer Res 77:e104\u2013e107","journal-title":"Cancer Res"},{"key":"8383_CR23","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1148\/radiol.13121885","volume":"270","author":"CY Wen","year":"2014","unstructured":"Wen CY, Cui JL, Liu HS et al (2014) Is diffusion anisotropy a biomarker for disease severity and surgical prognosis of cervical spondylotic myelopathy? Radiology 270:197\u2013204","journal-title":"Radiology"},{"key":"8383_CR24","doi-asserted-by":"publisher","first-page":"2589","DOI":"10.1016\/j.spinee.2014.02.027","volume":"14","author":"BM Ellingson","year":"2014","unstructured":"Ellingson BM, Salamon N, Grinstead JW, Holly LT (2014) Diffusion tensor imaging predicts functional impairment in mild-to-moderate cervical spondylotic myelopathy. Spine J 14:2589\u20132597","journal-title":"Spine J"},{"key":"8383_CR25","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.jot.2018.08.006","volume":"15","author":"W Jiang","year":"2018","unstructured":"Jiang W, Han X, Guo H et al (2018) Usefulness of conventional magnetic resonance imaging, diffusion tensor imaging and neurite orientation dispersion and density imaging in evaluating postoperative function in patients with cervical spondylotic myelopathy. J Orthop Translat 15:59\u201369","journal-title":"J Orthop Translat"},{"key":"8383_CR26","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/j.jcm.2016.02.012","volume":"15","author":"TK Koo","year":"2016","unstructured":"Koo TK, Li MY (2016) A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med 15:155\u2013163","journal-title":"J Chiropr Med"},{"key":"8383_CR27","doi-asserted-by":"publisher","first-page":"435","DOI":"10.14245\/ns.1938196.098","volume":"16","author":"M Zileli","year":"2019","unstructured":"Zileli M, Maheshwari S, Kale SS, Garg K, Menon SK, Parthiban J (2019) Outcome measures and variables affecting prognosis of cervical spondylotic myelopathy: WFNS spine committee recommendations. Neurospine 16:435\u2013447","journal-title":"Neurospine"},{"key":"8383_CR28","doi-asserted-by":"publisher","first-page":"1315","DOI":"10.1097\/JTO.0b013e3181ec173d","volume":"5","author":"JN Mandrekar","year":"2010","unstructured":"Mandrekar JN (2010) Receiver operating characteristic curve in diagnostic test assessment. J Thorac Oncol 5:1315\u20131316","journal-title":"J Thorac Oncol"},{"key":"8383_CR29","doi-asserted-by":"crossref","unstructured":"Gomes HM, de Mello RF, Pfahringer B, Bifet A (2019) Feature scoring using tree-based ensembles for evolving data streams2019 IEEE International Conference on Big Data (Big Data). IEEE, Los Angeles, USA, pp 761\u2013769","DOI":"10.1109\/BigData47090.2019.9006366"},{"key":"8383_CR30","doi-asserted-by":"publisher","unstructured":"Evaniew N, Cadotte DW, Dea N et al (2020) Clinical predictors of achieving the minimal clinically important difference after surgery for cervical spondylotic myelopathy: an external validation study from the Canadian Spine Outcomes and Research Network. J Neurosurg Spine. https:\/\/doi.org\/10.3171\/2020.2.SPINE191495:1-9","DOI":"10.3171\/2020.2.SPINE191495:1-9"},{"key":"8383_CR31","doi-asserted-by":"publisher","first-page":"e279","DOI":"10.1016\/j.wneu.2021.02.130","volume":"150","author":"S Elbhrawy","year":"2021","unstructured":"Elbhrawy S, Abdou A, ElSaghir H, Ashram YA, Mekky J (2021) Pattern and rate of functional recovery after surgery for cervical spondylotic myelopathy: Egyptian Prospective study. World Neurosurg 150:e279\u2013e286","journal-title":"World Neurosurg"},{"key":"8383_CR32","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1007\/s00586-010-1672-7","volume":"20","author":"H Nagashima","year":"2011","unstructured":"Nagashima H, Dokai T, Hashiguchi H et al (2011) Clinical features and surgical outcomes of cervical spondylotic myelopathy in patients aged 80 years or older: a multi-center retrospective study. Eur Spine J 20:240\u2013246","journal-title":"Eur Spine J"},{"key":"8383_CR33","doi-asserted-by":"publisher","first-page":"261","DOI":"10.14245\/kjs.2015.12.4.261","volume":"12","author":"JW Shin","year":"2015","unstructured":"Shin JW, Jin SW, Kim SH et al (2015) Predictors of outcome in patients with cervical spondylotic myelopathy undergoing unilateral open-door laminoplasty. Korean J Spine 12:261\u2013266","journal-title":"Korean J Spine"},{"key":"8383_CR34","doi-asserted-by":"publisher","first-page":"e23098","DOI":"10.1097\/MD.0000000000023098","volume":"99","author":"LQ Yin","year":"2020","unstructured":"Yin LQ, Zhang J, Wu YG, Li JH, Yang Q (2020) Increased signal intensity of spinal cord on T2W magnetic resonance imaging for cervical spondylotic myelopathy patients: risk factors and prognosis (a STROBE-compliant article). Medicine (Baltimore) 99:e23098","journal-title":"Medicine (Baltimore)"},{"key":"8383_CR35","doi-asserted-by":"publisher","first-page":"519","DOI":"10.1016\/j.spinee.2019.12.002","volume":"20","author":"A Perdomo-Pantoja","year":"2020","unstructured":"Perdomo-Pantoja A, Chara A, Kalb S et al (2020) The effect of renin-angiotensin system blockers on spinal cord dysfunction and imaging features of spinal cord compression in patients with symptomatic cervical spondylosis. Spine J 20:519\u2013529","journal-title":"Spine J"},{"key":"8383_CR36","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1097\/NRL.0b013e3181c29f12","volume":"16","author":"BJ Kelley","year":"2010","unstructured":"Kelley BJ, Erickson BJ, Weinshenker BG (2010) Compressive myelopathy mimicking transverse myelitis. Neurologist 16:120\u2013122","journal-title":"Neurologist"},{"key":"8383_CR37","doi-asserted-by":"publisher","first-page":"101557","DOI":"10.1016\/j.media.2019.101557","volume":"59","author":"T Nair","year":"2020","unstructured":"Nair T, Precup D, Arnold DL, Arbel T (2020) Exploring uncertainty measures in deep networks for multiple sclerosis lesion detection and segmentation. Med Image Anal 59:101557","journal-title":"Med Image Anal"},{"key":"8383_CR38","doi-asserted-by":"crossref","unstructured":"Martin AR, De Leener B, Cohen-Adad J et al (2018) Can microstructural MRI detect subclinical tissue injury in subjects with asymptomatic cervical spinal cord compression\u202f?A prospective cohort study. BMJ open 8:e019809","DOI":"10.1136\/bmjopen-2017-019809"},{"issue":"479","key":"8383_CR39","first-page":"e417","volume":"75","author":"AA Ahmed","year":"2020","unstructured":"Ahmed AA, Elmohr MM, Fuentes D et al (2020) Radiomic mapping model for prediction of Ki-67 expression in adrenocortical carcinoma. Clin Radiol 75(479):e417-479 e422","journal-title":"Clin Radiol"},{"key":"8383_CR40","doi-asserted-by":"publisher","first-page":"852","DOI":"10.1002\/jimd.12226","volume":"43","author":"SIW van de Stadt","year":"2020","unstructured":"van de Stadt SIW, van Ballegoij WJC, Labounek R et al (2020) Spinal cord atrophy as a measure of severity of myelopathy in adrenoleukodystrophy. J Inherit Metab Dis 43:852\u2013860","journal-title":"J Inherit Metab Dis"},{"key":"8383_CR41","doi-asserted-by":"publisher","unstructured":"Liu J, Zeng P, Guo W et al (2021) Prediction of high-risk cytogenetic status in multiple myeloma based on magnetic resonance imaging: utility of radiomics and comparison of machine learning methods. J Magn Reson Imaging. https:\/\/doi.org\/10.1002\/jmri.27637","DOI":"10.1002\/jmri.27637"},{"key":"8383_CR42","doi-asserted-by":"publisher","first-page":"420","DOI":"10.1097\/BRS.0000000000002328","volume":"43","author":"M Machino","year":"2018","unstructured":"Machino M, Imagama S, Ando K et al (2018) Image diagnostic classification of magnetic resonance T2 increased signal intensity in cervical spondylotic myelopathy: clinical evaluation using quantitative and objective assessment. Spine 43:420\u2013426","journal-title":"Spine"},{"key":"8383_CR43","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.clineuro.2019.01.006","volume":"178","author":"L Wei","year":"2019","unstructured":"Wei L, Cao P, Xu C et al (2019) The relationship between preoperative factors and the presence of intramedullary increased signal intensity on T2-weighted magnetic resonance imaging in patients with cervical spondylotic myelopathy. Clin Neurol Neurosurg 178:1\u20136","journal-title":"Clin Neurol Neurosurg"},{"key":"8383_CR44","doi-asserted-by":"publisher","first-page":"1621","DOI":"10.1007\/s00586-015-3911-4","volume":"24","author":"J Luo","year":"2015","unstructured":"Luo J, Cao K, Huang S et al (2015) Comparison of anterior approach versus posterior approach for the treatment of multilevel cervical spondylotic myelopathy. Eur Spine J 24:1621\u20131630","journal-title":"Eur Spine J"},{"key":"8383_CR45","doi-asserted-by":"publisher","first-page":"1966","DOI":"10.1016\/j.clineuro.2013.05.031","volume":"115","author":"S Bayerl","year":"2013","unstructured":"Bayerl S, Wiendieck K, Koeppen D et al (2013) Single- and multi-level anterior decompression and fusion for cervical spondylotic myelopathy\u2013a long term follow-up with a minimum of 5 years. Clin Neurol Neurosurg 115:1966\u20131971","journal-title":"Clin Neurol Neurosurg"}],"container-title":["European Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-021-08383-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00330-021-08383-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-021-08383-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T11:22:59Z","timestamp":1650885779000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00330-021-08383-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,13]]},"references-count":45,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2022,5]]}},"alternative-id":["8383"],"URL":"https:\/\/doi.org\/10.1007\/s00330-021-08383-x","relation":{},"ISSN":["1432-1084"],"issn-type":[{"value":"1432-1084","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,13]]},"assertion":[{"value":"10 August 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 September 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 October 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 January 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 Hui-Shu Yuan.","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":"Nan Li kindly provided statistical advice for this manuscript.Jian-Fang Liu and Meng-Ze Zhang have significant statistical expertise.No complex statistical methods were necessary for this paper.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Statistics and biometry"}},{"value":"This study was approved by the Ethics Committee of our hospital, and the requirement for informed consent was waived due to its retrospective nature.","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 case-control study\u2022 performed at one institution","order":7,"name":"Ethics","group":{"name":"EthicsHeading","label":"Methodology"}}]}}