{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T03:10:16Z","timestamp":1785553816852,"version":"3.56.0"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2021,4,16]],"date-time":"2021-04-16T00:00:00Z","timestamp":1618531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,4,16]],"date-time":"2021-04-16T00:00:00Z","timestamp":1618531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundations of China","doi-asserted-by":"crossref","award":["81901704"],"award-info":[{"award-number":["81901704"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Chinese Academy of Sciences-Iranian Vice Presidency for Science and Technology Silk Road Science Fund","award":["GJHZ1857"],"award-info":[{"award-number":["GJHZ1857"]}]},{"name":"Shanghai Health and Family Planning CommissionYouth Fund Project","award":["20194Y0489"],"award-info":[{"award-number":["20194Y0489"]}]},{"name":"Imaging Foundation of Fudan University Shanghai Cancer Center","award":["YX201803"],"award-info":[{"award-number":["YX201803"]}]},{"name":"Shanghai Municipal Commission of Science and Technology","award":["19411972000"],"award-info":[{"award-number":["19411972000"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Radiol"],"published-print":{"date-parts":[[2021,10]]},"DOI":"10.1007\/s00330-021-07902-0","type":"journal-article","created":{"date-parts":[[2021,4,16]],"date-time":"2021-04-16T20:03:04Z","timestamp":1618603384000},"page":"7855-7864","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Noninvasive prediction of residual disease for advanced high-grade serous ovarian carcinoma by MRI-based radiomic-clinical nomogram"],"prefix":"10.1007","volume":"31","author":[{"given":"Haiming","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruimin","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei","family":"Xia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaojun","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiayi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Songqi","family":"Cai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong\u2019ai","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuhui","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinwei","family":"Qiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weijun","family":"Peng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yajia","family":"Gu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9906-0596","authenticated-orcid":false,"given":"Xin","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,4,16]]},"reference":[{"key":"7902_CR1","doi-asserted-by":"publisher","first-page":"2888","DOI":"10.1200\/JCO.2016.66.8178","volume":"34","author":"N Wentzensen","year":"2016","unstructured":"Wentzensen N, Poole EM, Trabert B et al (2016) Ovarian cancer risk factors by histologic subtype: An analysis from the Ovarian Cancer Cohort Consortium. J Clin Oncol 34:2888\u20132898","journal-title":"J Clin Oncol"},{"key":"7902_CR2","doi-asserted-by":"publisher","first-page":"1120","DOI":"10.1016\/j.ajpath.2018.01.019","volume":"188","author":"P Cybulska","year":"2018","unstructured":"Cybulska P, Stewart JM, Sayad A et al (2018) A genomically characterized collection of high-grade serous ovarian cancer xenografts for preclinical testing. Am J Pathol 188:1120\u20131131","journal-title":"Am J Pathol"},{"key":"7902_CR3","first-page":"517","volume":"123","author":"RG Verhaak","year":"2013","unstructured":"Verhaak RG, Tamayo P, Yang JY et al (2013) Prognostically relevant gene signatures of high-grade serous ovarian carcinoma. J Clin Invest 123:517\u2013525","journal-title":"J Clin Invest"},{"key":"7902_CR4","doi-asserted-by":"publisher","first-page":"4059","DOI":"10.1245\/s10434-012-2446-8","volume":"19","author":"SJ Chang","year":"2012","unstructured":"Chang SJ, Bristow RE, Ryu HS (2012) Impact of complete cytoreduction leaving no gross residual disease associated with radical cytoreductive surgical procedures on survival in advanced ovarian cancer. Ann Surg Oncol 19:4059\u20134067","journal-title":"Ann Surg Oncol"},{"key":"7902_CR5","doi-asserted-by":"publisher","first-page":"1234","DOI":"10.1002\/cncr.24149","volume":"115","author":"A du Bois","year":"2009","unstructured":"du Bois A, Reuss A, Pujade-Lauraine E et al (2009) Role of surgical outcome as prognostic factor in advanced epithelial ovarian cancer: A combined exploratory analysis of 3 prospectively randomized phase 3 multicenter trials: by the Arbeitsgemeinschaft Gynaekologische Onkologie Studiengruppe Ovarialkarzinom (AGO-OVAR) and the Groupe d'Investigateurs Nationaux Poue Ies Etudes des Cancers de I'Ovaire (GINECO). Cancer 115:1234\u20131244","journal-title":"Cancer"},{"key":"7902_CR6","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1016\/j.ygyno.2013.08.005","volume":"131","author":"A Fagotti","year":"2015","unstructured":"Fagotti A, Vizzielli G, Fanfani F et al (2015) Introduction of staging laparoscopy in the management of advanced epithelial ovarian, tubal and peritoneal cancer: Impact on prognosis in a single institution experience. Gynecol Oncol 131:341\u2013346","journal-title":"Gynecol Oncol"},{"key":"7902_CR7","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1016\/S0140-6736(14)62223-6","volume":"386","author":"S Kehoe","year":"2015","unstructured":"Kehoe S, Hook J, Nankivell M et al (2015) Primary chemotherapy versus primary surgery for newly diagnosed advanced ovarian cancer (CHORUS): An open-label, randomised, controlled non-inferiority trial. Lancet 386:249\u2013257","journal-title":"Lancet"},{"key":"7902_CR8","doi-asserted-by":"publisher","first-page":"943","DOI":"10.1056\/NEJMoa0908806","volume":"363","author":"I Vergote","year":"2010","unstructured":"Vergote I, Trop\u00e9 CG, Amant F et al (2010) Neoadjuvant chemotherapy or primary surgery in stage IIIc or IV ovarian cancer. N Engl J Med 363:943\u2013953","journal-title":"N Engl J Med"},{"key":"7902_CR9","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1016\/j.ygyno.2020.01.010","volume":"157","author":"V Ghirardi","year":"2020","unstructured":"Ghirardi V, Moruzzi MC, Bizzarri N et al (2020) Minimal residual disease at primary debulking surgery versus complete tumor resection at interval debulking surgery in advanced epithelial ovarian cancer: A survival analysis. Gynecol Oncol 157:209\u2013213","journal-title":"Gynecol Oncol"},{"key":"7902_CR10","doi-asserted-by":"publisher","first-page":"1156","DOI":"10.1245\/ASO.2006.08.021","volume":"13","author":"A Fagotti","year":"2006","unstructured":"Fagotti A, Ferrandina G, Fanfani F et al (2006) A laparoscopy-based score to predict surgical outcome in patients with advanced ovarian carcinoma: A pilot study. Ann Surg Oncol 13:1156\u20131161","journal-title":"Ann Surg Oncol"},{"key":"7902_CR11","first-page":"CD009786","volume":"3","author":"R van de Vrie","year":"2019","unstructured":"van de Vrie R, Rutten MJ, Asseler JD et al (2019) Laparoscopy for diagnosing resectability of disease in women with advanced cancer. Cochrane Database Syst Rev 3:CD009786","journal-title":"Cochrane Database Syst Rev"},{"key":"7902_CR12","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1016\/j.ygyno.2014.07.002","volume":"134","author":"RS Suidan","year":"2014","unstructured":"Suidan RS, Ramirez PT, Sarasohn DM et al (2014) A multicenter prospective trial evaluating the ability of preoperative computed tomography scan and serum CA-125 to predict suboptimal cytoreduction at primary debulking surgery for advanced ovarian, fallopian tube, and peritoneal cancer. Gynecol Oncol 134:455\u2013461","journal-title":"Gynecol Oncol"},{"key":"7902_CR13","doi-asserted-by":"publisher","first-page":"1532","DOI":"10.1002\/1097-0142(20001001)89:7<1532::AID-CNCR17>3.0.CO;2-A","volume":"89","author":"RE Bristow","year":"2000","unstructured":"Bristow RE, Duska LR, Lambrou NC et al (2000) A model for predicting surgical outcome in patients with advanced ovarian carcinoma using computed tomography. Cancer 89:1532\u20131540","journal-title":"Cancer"},{"key":"7902_CR14","doi-asserted-by":"publisher","first-page":"346","DOI":"10.1002\/cncr.20376","volume":"101","author":"SC Dowdy","year":"2004","unstructured":"Dowdy SC, Mullany SA, Brandt KR, Huppert BJ, Cliby WA (2004) The utility of computed tomography scans in predicting suboptimal cytoreductive surgery in women with advanced ovarian cancer. Cancer 101:346\u2013352","journal-title":"Cancer"},{"key":"7902_CR15","doi-asserted-by":"publisher","first-page":"384","DOI":"10.1200\/JCO.2006.07.7800","volume":"25","author":"AE Axtell","year":"2007","unstructured":"Axtell AE, Lee MH, Bristow RE et al (2007) Multi-institutional reciprocal validation study of computed tomography predictors of suboptimal primary cytoredcution in patients with advanced ovarian cancer. J Clin Oncol 25:384\u2013389","journal-title":"J Clin Oncol"},{"key":"7902_CR16","doi-asserted-by":"publisher","first-page":"e65","DOI":"10.3802\/jgo.2018.29.e65","volume":"29","author":"Z Feng","year":"2018","unstructured":"Feng Z, Wen H, Jiang Z et al (2018) A triage strategy in advanced ovarian cancer management based on multiple predictive models for R0 resection: A prospective cohort study. J Gynecol Oncol 29:e65","journal-title":"J Gynecol Oncol"},{"key":"7902_CR17","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":"7902_CR18","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1093\/annonc\/mdz001","volume":"30","author":"D Dong","year":"2019","unstructured":"Dong D, Tang L, Li ZY et al (2019) Development and validation of an individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer. Ann Oncol 30:431\u2013438","journal-title":"Ann Oncol"},{"key":"7902_CR19","doi-asserted-by":"publisher","first-page":"7253","DOI":"10.1158\/1078-0432.CCR-17-1038","volume":"23","author":"ZY Liu","year":"2017","unstructured":"Liu ZY, Zhang XY, Shi YJ et al (2017) Radiomics analysis for evaluation of pathological complete response to neoadjuvant chemotherapy in locally advanced rectal cancer. Clin Cancer Res 23:7253\u20137262","journal-title":"Clin Cancer Res"},{"key":"7902_CR20","doi-asserted-by":"publisher","first-page":"4271","DOI":"10.1158\/1078-0432.CCR-18-3065","volume":"25","author":"H Peng","year":"2019","unstructured":"Peng H, Dong D, Fang MJ et al (2019) Prognostic value of deep learning PET\/CT-based radiomics: Potential role for future individual induction chemotherapy in advanced nasopharyngeal carcinoma. Clin Cancer Res 25:4271\u20134279","journal-title":"Clin Cancer Res"},{"key":"7902_CR21","doi-asserted-by":"publisher","first-page":"1205","DOI":"10.1148\/rg.2019180173","volume":"39","author":"S Nougaret","year":"2019","unstructured":"Nougaret S, Nikolovski I, Paroder V et al (2019) MRI of tumors and tumor mimics in the female pelvis: Anatomic pelvic space-based approach. Radiographics 39:1205\u20131229","journal-title":"Radiographics"},{"key":"7902_CR22","doi-asserted-by":"publisher","first-page":"3358","DOI":"10.1007\/s00330-019-06124-9","volume":"29","author":"H Zhang","year":"2019","unstructured":"Zhang H, Mao Y, Chen X et al (2019) Magnetic resonance imaging radiomics in categorizing ovarian masses and predicting clinical outcome: A preliminary study. Eur Radiol 29:3358\u20133371","journal-title":"Eur Radiol"},{"key":"7902_CR23","doi-asserted-by":"publisher","first-page":"5551","DOI":"10.1007\/s00330-020-06887-6","volume":"30","author":"EYP Lee","year":"2020","unstructured":"Lee EYP, An H, Perucho JAU et al (2020) Functional tumour burden of peritoneal carcinomatosis derived from DWI could predict incomplete tumour debulking in advanced ovarian carcinoma. Eur Radiol 30:5551\u20135559","journal-title":"Eur Radiol"},{"key":"7902_CR24","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1016\/j.ygyno.2014.04.013","volume":"133","author":"DG Mutch","year":"2014","unstructured":"Mutch DG, Prat J (2014) 2014 FIGO staging for ovarian, fallopian tube and peritoneal cancer. Gynecol Oncol 133:401\u2013404","journal-title":"Gynecol Oncol"},{"key":"7902_CR25","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":"7902_CR26","doi-asserted-by":"publisher","first-page":"3200","DOI":"10.1007\/s00330-018-5763-x","volume":"29","author":"X Meng","year":"2019","unstructured":"Meng X, Xia W, Xie P et al (2019) Preoperative radiomic signature based on multiparametric magnetic resonance imaging for noninvasive evaluation of biological characteristics in rectal cancer. Eur Radiol 29:3200\u20133209","journal-title":"Eur Radiol"},{"key":"7902_CR27","doi-asserted-by":"publisher","first-page":"2157","DOI":"10.1200\/JCO.2015.65.9128","volume":"34","author":"YQ Huang","year":"2016","unstructured":"Huang YQ, Liang CH, He L et al (2016) Development and validation of a radiomics nomogram for preoperative prediction of lymph node metastasis in colorectal cancer. J Clin Oncol 34:2157\u20132164","journal-title":"J Clin Oncol"},{"key":"7902_CR28","doi-asserted-by":"publisher","first-page":"4388","DOI":"10.1002\/cncr.32490","volume":"125","author":"J Zheng","year":"2019","unstructured":"Zheng J, Kong J, Wu S et al (2019) Development of a noninvasive tool to preoperatively evaluate the muscular invasiveness of bladder cancer using a radiomics approach. Cancer 125:4388\u20134398","journal-title":"Cancer"},{"key":"7902_CR29","doi-asserted-by":"publisher","first-page":"1180","DOI":"10.1016\/S1470-2045(18)30413-3","volume":"19","author":"R Sun","year":"2018","unstructured":"Sun R, Limkin EJ, Vakalopoulou M et al (2018) A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: An imaging biomarker, retrospective multicohort study. Lancet Oncol 19:1180\u20131191","journal-title":"Lancet Oncol"},{"key":"7902_CR30","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1038\/s41586-019-0891-2","volume":"566","author":"HA Messal","year":"2019","unstructured":"Messal HA, Alt S, Ferreira RMM et al (2019) Tissue curvature and apicobasal mechanical tension imbalance instruct cancer morphogenesis. Nature 566:126\u2013130","journal-title":"Nature"},{"key":"7902_CR31","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1186\/jbiol128","volume":"8","author":"F Bertucci","year":"2009","unstructured":"Bertucci F, Birnbaum D (2009) Distant metastasis: Not out of reach any more. J Biol 8:28","journal-title":"J Biol"},{"key":"7902_CR32","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/j.ejca.2017.06.010","volume":"83","author":"K Michielsen","year":"2017","unstructured":"Michielsen K, Dresen R, Vanslembrouck R et al (2017) Diagnostic value of whole body diffusion-weighted MRI compared to computed tomography for pre-operative assessment of patients suspected for ovarian cancer. Eur J Cancer 83:88\u201398","journal-title":"Eur J Cancer"},{"key":"7902_CR33","first-page":"CD012567","volume":"10","author":"JF Roze","year":"2018","unstructured":"Roze JF, Hoogendam JP, van de Wetering FT et al (2018) Positron emission tomography (PET) and magnetic resonance imaging (MRI) for assessing tumour resectability in advanced epithelial ovarian\/fallopian tube\/primary peritoneal cancer. Cochrane Database Syst Rev 10:CD012567","journal-title":"Cochrane Database Syst Rev"},{"key":"7902_CR34","doi-asserted-by":"publisher","first-page":"3460","DOI":"10.1200\/JCO.2016.68.6907","volume":"34","author":"AA Wright","year":"2016","unstructured":"Wright AA, Bohlke K, Armstrong DK et al (2016) Neoadjuvant chemotherapy for newly diagnosed, advanced ovarian cancer: Society of Gynecologic Oncology and American Society of Clinical Oncology Clinical practice guideline. J Clin Oncol 34:3460\u20133473","journal-title":"J Clin Oncol"},{"key":"7902_CR35","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1016\/j.ygyno.2013.05.040","volume":"130","author":"SJ Chang","year":"2013","unstructured":"Chang SJ, Hodeib M, Chang J, Bristow RE (2013) Survival impact of complete cytoreduction to no gross residual disease for advanced-stage ovarian cancer: A meta-analysis. Gynecol Oncol 130:493\u2013498","journal-title":"Gynecol Oncol"},{"key":"7902_CR36","doi-asserted-by":"publisher","first-page":"520","DOI":"10.2214\/AJR.18.20624","volume":"212","author":"BA Varghese","year":"2019","unstructured":"Varghese BA, Cen SY, Hwang DH, Duddalwar VA (2019) Texture analysis of imaging: What radiologists need to know. AJR Am J Roentgenol 212:520\u2013528","journal-title":"AJR Am J Roentgenol"},{"key":"7902_CR37","doi-asserted-by":"publisher","first-page":"4849","DOI":"10.1007\/s00330-018-5389-z","volume":"28","author":"S Rizzo","year":"2018","unstructured":"Rizzo S, Botta F, Raimondi S et al (2018) Radiomics of high-grade serous ovarian cancer: Association between quantitative CT features, residual tumour and disease progression within 12 months. Eur Radiol 28:4849\u20134859","journal-title":"Eur Radiol"},{"key":"7902_CR38","doi-asserted-by":"publisher","first-page":"764","DOI":"10.1038\/s41467-019-08718-9","volume":"10","author":"H Lu","year":"2019","unstructured":"Lu H, Arshad M, Thornton A et al (2019) A mathematical-descriptor of tumor-mesoscopic-structure from computed-tomography images annotates prognostic- and molecular-phenotypes of epithelial ovarian cancer. Nat Commun 10:764","journal-title":"Nat Commun"},{"key":"7902_CR39","doi-asserted-by":"publisher","first-page":"362","DOI":"10.1007\/s00330-018-5574-0","volume":"29","author":"BR Kim","year":"2019","unstructured":"Kim BR, Kim JH, Ahn SJ et al (2019) CT prediction of resectability and prognosis in patients with pancreatic ductal adenocarcinoma after neoadjuvant treatment using image findings and texture analysis. Eur Radiol 29:362\u2013372","journal-title":"Eur Radiol"},{"key":"7902_CR40","doi-asserted-by":"publisher","first-page":"3991","DOI":"10.1007\/s00330-017-4779-y","volume":"27","author":"HA Vargas","year":"2017","unstructured":"Vargas HA, Veeraraghavan H, Micco M et al (2017) A novel representation of inter-site tumour heterogeneity from pre-treatment computed tomography textures classifies ovarian cancers by clinical outcome. Eur Radiol 27:3991\u20134001","journal-title":"Eur Radiol"},{"key":"7902_CR41","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1016\/j.ygyno.2018.07.025","volume":"151","author":"MP Pinto","year":"2018","unstructured":"Pinto MP, Balmaceda C, Bravo ML et al (2018) Patients inflammatory status and CD4+\/CD8+ intraepithelial tumor lymphocyte infiltration are predictors of outcomes in high-grade serous ovarian cancer. Gynecol Oncol 151:10\u201317","journal-title":"Gynecol Oncol"},{"key":"7902_CR42","doi-asserted-by":"publisher","first-page":"897","DOI":"10.1002\/jmri.27084","volume":"52","author":"Y Li","year":"2020","unstructured":"Li Y, Jian J, Pickhardt PJ et al (2020) MRI-based machine learning for differentiating borderline from malignant epithelial ovarian tumors: A multicenter study. J Magn Reson Imaging 52:897\u2013904","journal-title":"J Magn Reson Imaging"},{"key":"7902_CR43","doi-asserted-by":"publisher","first-page":"472","DOI":"10.1148\/radiol.2017161697","volume":"285","author":"S Nougaret","year":"2019","unstructured":"Nougaret S, Lakhman Y, G\u00f6nen M et al (2019) High-grade serous ovarian cancer: Associations between BRCA mutation status, CT imaging phenotypes, and clinical outcomes. Radiology 285:472\u2013481","journal-title":"Radiology"},{"key":"7902_CR44","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1016\/j.ygyno.2018.06.002","volume":"150","author":"D Torres","year":"2018","unstructured":"Torres D, Wang C, Kumar A et al (2018) Factors that influence survival in high-grade serous ovarian cancer: A complex relationship between molecular subtype, disease dissemination, and operability. Gynecol Oncol 150:227\u2013232","journal-title":"Gynecol Oncol"}],"container-title":["European Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-021-07902-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00330-021-07902-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00330-021-07902-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,20]],"date-time":"2021-09-20T20:35:48Z","timestamp":1632170148000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00330-021-07902-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,16]]},"references-count":44,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2021,10]]}},"alternative-id":["7902"],"URL":"https:\/\/doi.org\/10.1007\/s00330-021-07902-0","relation":{},"ISSN":["0938-7994","1432-1084"],"issn-type":[{"value":"0938-7994","type":"print"},{"value":"1432-1084","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4,16]]},"assertion":[{"value":"20 September 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 February 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 March 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 April 2021","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 Xin Gao.","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":"\u2022Retrospective\u2022Diagnostic or prognostic study\u2022Performed at one institution","order":7,"name":"Ethics","group":{"name":"EthicsHeading","label":"Methodology"}}]}}