{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T15:26:00Z","timestamp":1791559560853,"version":"4.3.4"},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,10,12]],"date-time":"2021-10-12T00:00:00Z","timestamp":1633996800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,10,12]],"date-time":"2021-10-12T00:00:00Z","timestamp":1633996800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Abdom Radiol"],"published-print":{"date-parts":[[2022,1]]},"DOI":"10.1007\/s00261-021-03287-2","type":"journal-article","created":{"date-parts":[[2021,10,12]],"date-time":"2021-10-12T23:14:52Z","timestamp":1634080492000},"page":"66-75","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Comparison of clinical-computed tomography model with 2D and 3D radiomics models to predict occult peritoneal metastases in advanced gastric cancer"],"prefix":"10.1007","volume":"47","author":[{"given":"Jiang","family":"Huang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yidi","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuying","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinhuan","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yiqiong","family":"Liang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenzhao","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ting","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruizhi","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rong","family":"Wen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuwei","family":"Xia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3369-8532","authenticated-orcid":false,"given":"Liling","family":"Long","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2021,10,12]]},"reference":[{"key":"3287_CR1","doi-asserted-by":"publisher","first-page":"394","DOI":"10.3322\/caac.21492","volume":"68","author":"F Bray","year":"2018","unstructured":"Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A (2018) Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 68:394-424.doi:https:\/\/doi.org\/10.3322\/caac.21492","journal-title":"CA Cancer J Clin"},{"key":"3287_CR2","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1016\/s1470-2045(15)00553-7","volume":"17","author":"K Fujitani","year":"2016","unstructured":"Fujitani K, Yang HK, Mizusawa J et al (2016) Gastrectomy plus chemotherapy versus chemotherapy alone for advanced gastric cancer with a single non-curable factor (REGATTA): a phase 3, randomised controlled trial. Lancet Oncol 17:309-318.doi:https:\/\/doi.org\/10.1016\/s1470-2045(15)00553-7","journal-title":"Lancet Oncol"},{"key":"3287_CR3","doi-asserted-by":"publisher","first-page":"622","DOI":"10.1002\/ijc.28373","volume":"134","author":"I Thomassen","year":"2014","unstructured":"Thomassen I, van Gestel YR, van Ramshorst B et al (2014) Peritoneal carcinomatosis of gastric origin: a population-based study on incidence, survival and risk factors. Int J Cancer 134:622-628.doi:https:\/\/doi.org\/10.1002\/ijc.28373","journal-title":"Int J Cancer"},{"key":"3287_CR4","doi-asserted-by":"publisher","first-page":"1286","DOI":"10.6004\/jnccn.2016.0137","volume":"14","author":"JA Ajani","year":"2016","unstructured":"Ajani JA, D'Amico TA, Almhanna K et al (2016) Gastric Cancer, Version 3.2016, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw 14:1286-1312.doi:https:\/\/doi.org\/10.6004\/jnccn.2016.0137","journal-title":"J Natl Compr Canc Netw"},{"key":"3287_CR5","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1102\/1470-7330.2013.0023","volume":"13","author":"JT Hallinan","year":"2013","unstructured":"Hallinan JT, Venkatesh SK (2013) Gastric carcinoma: imaging diagnosis, staging and assessment of treatment response. Cancer Imaging 13:212-227.doi:https:\/\/doi.org\/10.1102\/1470-7330.2013.0023","journal-title":"Cancer Imaging"},{"key":"3287_CR6","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1002\/jso.20049","volume":"86","author":"E de Bree","year":"2004","unstructured":"de Bree E, Koops W, Kr\u00f6ger R, van Ruth S, Witkamp AJ, Zoetmulder FA (2004) Peritoneal carcinomatosis from colorectal or appendiceal origin: correlation of preoperative CT with intraoperative findings and evaluation of interobserver agreement. J Surg Oncol 86:64-73.doi:https:\/\/doi.org\/10.1002\/jso.20049","journal-title":"J Surg Oncol"},{"key":"3287_CR7","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1007\/s00330-019-06368-5","volume":"30","author":"S Liu","year":"2020","unstructured":"Liu S, He J, Liu S et al (2020) Radiomics analysis using contrast-enhanced CT for preoperative prediction of occult peritoneal metastasis in advanced gastric cancer. Eur Radiol 30:239-246.doi:https:\/\/doi.org\/10.1007\/s00330-019-06368-5","journal-title":"Eur Radiol"},{"key":"3287_CR8","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0194755","volume":"13","author":"HY Kim","year":"2018","unstructured":"Kim HY, Kim YH, Yun G, Chang W, Lee YJ, Kim B (2018) Could texture features from preoperative CT image be used for predicting occult peritoneal carcinomatosis in patients with advanced gastric cancer? PLoS One 13:e0194755.doi:https:\/\/doi.org\/10.1371\/journal.pone.0194755","journal-title":"PLoS One"},{"key":"3287_CR9","doi-asserted-by":"publisher","first-page":"1288","DOI":"10.1002\/jso.24942","volume":"117","author":"K Li","year":"2018","unstructured":"Li K, Cannon JGD, Jiang SY et al (2018) Diagnostic staging laparoscopy in gastric cancer treatment: A cost-effectiveness analysis. J Surg Oncol 117:1288-1296.doi:https:\/\/doi.org\/10.1002\/jso.24942","journal-title":"J Surg Oncol"},{"key":"3287_CR10","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1148\/radiol.2532082272","volume":"253","author":"SJ Kim","year":"2009","unstructured":"Kim SJ, Kim HH, Kim YH et al (2009) Peritoneal metastasis: detection with 16- or 64-detector row CT in patients undergoing surgery for gastric cancer. Radiology 253:407-415.doi:https:\/\/doi.org\/10.1148\/radiol.2532082272","journal-title":"Radiology"},{"key":"3287_CR11","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1186\/1471-2407-13-57","volume":"13","author":"B Huang","year":"2013","unstructured":"Huang B, Sun Z, Wang Z et al (2013) Factors associated with peritoneal metastasis in non-serosa-invasive gastric cancer: a retrospective study of a prospectively-collected database. BMC Cancer 13:57.doi:https:\/\/doi.org\/10.1186\/1471-2407-13-57","journal-title":"BMC Cancer"},{"key":"3287_CR12","doi-asserted-by":"publisher","first-page":"753","DOI":"10.1002\/jso.21685","volume":"102","author":"H Hur","year":"2010","unstructured":"Hur H, Lee HH, Jung H, Song KY, Jeon HM, Park CH (2010) Predicting factors of unexpected peritoneal seeding in locally advanced gastric cancer: indications for staging laparoscopy. J Surg Oncol 102:753-757.doi:https:\/\/doi.org\/10.1002\/jso.21685","journal-title":"J Surg Oncol"},{"key":"3287_CR13","doi-asserted-by":"publisher","first-page":"1159","DOI":"10.3389\/fonc.2019.01159","volume":"9","author":"C Huang","year":"2019","unstructured":"Huang C, Liu Z, Xiao L et al (2019) Clinical Significance of Serum CA125, CA19-9, CA72-4, and Fibrinogen-to-Lymphocyte Ratio in Gastric Cancer With Peritoneal Dissemination. Front Oncol 9:1159.doi:https:\/\/doi.org\/10.3389\/fonc.2019.01159","journal-title":"Front Oncol"},{"key":"3287_CR14","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 30:431-438.doi:https:\/\/doi.org\/10.1093\/annonc\/mdz001","journal-title":"Ann Oncol"},{"key":"3287_CR15","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2020.601869","volume":"10","author":"Z Huang","year":"2020","unstructured":"Huang Z, Liu D, Chen X et al (2020) Deep Convolutional Neural Network Based on Computed Tomography Images for the Preoperative Diagnosis of Occult Peritoneal Metastasis in Advanced Gastric Cancer. Front Oncol 10:601869.doi:https:\/\/doi.org\/10.3389\/fonc.2020.601869","journal-title":"Front Oncol"},{"key":"3287_CR16","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2020.32269","volume":"4","author":"Y Jiang","year":"2021","unstructured":"Jiang Y, Liang X, Wang W et al (2021) Noninvasive Prediction of Occult Peritoneal Metastasis in Gastric Cancer Using Deep Learning. JAMA Netw Open 4:e2032269.doi:https:\/\/doi.org\/10.1001\/jamanetworkopen.2020.32269","journal-title":"JAMA Netw Open"},{"key":"3287_CR17","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 278:563-577.doi:https:\/\/doi.org\/10.1148\/radiol.2015151169","journal-title":"Radiology"},{"key":"3287_CR18","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-e107.doi:https:\/\/doi.org\/10.1158\/0008-5472.Can-17-0339","journal-title":"Cancer Res"},{"key":"3287_CR19","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 14:749-762.doi:https:\/\/doi.org\/10.1038\/nrclinonc.2017.141","journal-title":"Nat Rev Clin Oncol"},{"key":"3287_CR20","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/j.ebiom.2018.09.007","volume":"36","author":"Y Jiang","year":"2018","unstructured":"Jiang Y, Chen C, Xie J et al (2018) Radiomics signature of computed tomography imaging for prediction of survival and chemotherapeutic benefits in gastric cancer. EBioMedicine 36:171-182.doi:https:\/\/doi.org\/10.1016\/j.ebiom.2018.09.007","journal-title":"EBioMedicine"},{"key":"3287_CR21","doi-asserted-by":"publisher","first-page":"760","DOI":"10.1016\/j.annonc.2020.03.295","volume":"31","author":"Y Jiang","year":"2020","unstructured":"Jiang Y, Wang H, Wu J et al (2020) Noninvasive imaging evaluation of tumor immune microenvironment to predict outcomes in gastric cancer. Ann Oncol 31:760-768.doi:https:\/\/doi.org\/10.1016\/j.annonc.2020.03.295","journal-title":"Ann Oncol"},{"key":"3287_CR22","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/j.radonc.2020.06.010","volume":"150","author":"L Zhang","year":"2020","unstructured":"Zhang L, Dong D, Zhang W et al (2020) A deep learning risk prediction model for overall survival in patients with gastric cancer: A multicenter study. Radiother Oncol 150:73-80.doi:https:\/\/doi.org\/10.1016\/j.radonc.2020.06.010","journal-title":"Radiother Oncol"},{"key":"3287_CR23","doi-asserted-by":"publisher","first-page":"2934","DOI":"10.1007\/s00330-019-06629-3","volume":"30","author":"Y Wang","year":"2020","unstructured":"Wang Y, Liu W, Yu Y et al (2020) Potential value of CT radiomics in the distinction of intestinal-type gastric adenocarcinomas. Eur Radiol 30:2934-2944.doi:https:\/\/doi.org\/10.1007\/s00330-019-06629-3","journal-title":"Eur Radiol"},{"key":"3287_CR24","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1016\/j.ejrad.2012.10.023","volume":"82","author":"F Ng","year":"2013","unstructured":"Ng F, Kozarski R, Ganeshan B, Goh V (2013) Assessment of tumor heterogeneity by CT texture analysis: can the largest cross-sectional area be used as an alternative to whole tumor analysis? Eur J Radiol 82:342-348.doi:https:\/\/doi.org\/10.1016\/j.ejrad.2012.10.023","journal-title":"Eur J Radiol"},{"key":"3287_CR25","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1016\/j.canlet.2013.08.016","volume":"345","author":"F Wang","year":"2014","unstructured":"Wang F, Meng W, Wang B, Qiao L (2014) Helicobacter pylori-induced gastric inflammation and gastric cancer. Cancer Lett 345:196-202.doi:https:\/\/doi.org\/10.1016\/j.canlet.2013.08.016","journal-title":"Cancer Lett"},{"key":"3287_CR26","doi-asserted-by":"publisher","first-page":"6757","DOI":"10.1007\/s00330-020-07064-5","volume":"30","author":"S Bernatz","year":"2020","unstructured":"Bernatz S, Ackermann J, Mandel P et al (2020) Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features. Eur Radiol 30:6757-6769.doi:https:\/\/doi.org\/10.1007\/s00330-020-07064-5","journal-title":"Eur Radiol"},{"key":"3287_CR27","doi-asserted-by":"publisher","first-page":"2196","DOI":"10.1007\/s00330-018-5770-y","volume":"29","author":"L Yang","year":"2019","unstructured":"Yang L, Yang J, Zhou X et al (2019) Development of a radiomics nomogram based on the 2D and 3D CT features to predict the survival of non-small cell lung cancer patients. Eur Radiol 29:2196-2206.doi:https:\/\/doi.org\/10.1007\/s00330-018-5770-y","journal-title":"Eur Radiol"},{"key":"3287_CR28","doi-asserted-by":"publisher","first-page":"4514","DOI":"10.1007\/s00330-018-5463-6","volume":"28","author":"R Ortiz-Ram\u00f3n","year":"2018","unstructured":"Ortiz-Ram\u00f3n R, Larroza A, Ruiz-Espa\u00f1a S, Arana E, Moratal D (2018) Classifying brain metastases by their primary site of origin using a radiomics approach based on texture analysis: a feasibility study. Eur Radiol 28:4514-4523.doi:https:\/\/doi.org\/10.1007\/s00330-018-5463-6","journal-title":"Eur Radiol"},{"key":"3287_CR29","doi-asserted-by":"publisher","first-page":"280","DOI":"10.1002\/jmri.26192","volume":"49","author":"Y Liu","year":"2019","unstructured":"Liu Y, Zhang Y, Cheng R et al (2019) Radiomics analysis of apparent diffusion coefficient in cervical cancer: A preliminary study on histological grade evaluation. J Magn Reson Imaging 49:280-290.doi:https:\/\/doi.org\/10.1002\/jmri.26192","journal-title":"J Magn Reson Imaging"},{"key":"3287_CR30","doi-asserted-by":"publisher","first-page":"e64","DOI":"10.5114\/pjr.2021.103239","volume":"86","author":"M Houseni","year":"2021","unstructured":"Houseni M, Mahmoud MA, Saad S, ElHussiny F, Shihab M (2021) Advanced intra-tumoural structural characterisation of hepatocellular carcinoma utilising FDG-PET\/CT: a comparative study of radiomics and metabolic features in 3D and 2D. Pol J Radiol 86:e64-e73.doi:https:\/\/doi.org\/10.5114\/pjr.2021.103239","journal-title":"Pol J Radiol"},{"key":"3287_CR31","doi-asserted-by":"publisher","first-page":"1483","DOI":"10.1148\/rg.2017170056","volume":"37","author":"MG Lubner","year":"2017","unstructured":"Lubner MG, Smith AD, Sandrasegaran K, Sahani DV, Pickhardt PJ (2017) CT Texture Analysis: Definitions, Applications, Biologic Correlates, and Challenges. Radiographics 37:1483-1503.doi:https:\/\/doi.org\/10.1148\/rg.2017170056","journal-title":"Radiographics"},{"key":"3287_CR32","doi-asserted-by":"publisher","first-page":"647","DOI":"10.1200\/jco.2011.39.2316","volume":"30","author":"B Tran","year":"2012","unstructured":"Tran B, Dancey JE, Kamel-Reid S et al (2012) Cancer genomics: technology, discovery, and translation. J Clin Oncol 30:647-660.doi:https:\/\/doi.org\/10.1200\/jco.2011.39.2316","journal-title":"J Clin Oncol"},{"key":"3287_CR33","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 130:2-9.doi:https:\/\/doi.org\/10.1016\/j.radonc.2018.10.027","journal-title":"Radiother Oncol"},{"key":"3287_CR34","doi-asserted-by":"publisher","first-page":"7166","DOI":"10.7150\/jca.47245","volume":"11","author":"MF Chiang","year":"2020","unstructured":"Chiang MF, Tseng TK, Shih CW, Yang TH, Wu SY (2020) Clinical and contrast-enhanced image features in the prediction model for the detection of small hepatocellular carcinomas. J Cancer 11:7166-7175.doi:https:\/\/doi.org\/10.7150\/jca.47245","journal-title":"J Cancer"},{"key":"3287_CR35","doi-asserted-by":"publisher","first-page":"732","DOI":"10.1177\/0284185119882662","volume":"61","author":"M Kim","year":"2020","unstructured":"Kim M, Jeong WK, Lim S, Sohn TS, Bae JM, Sohn IS (2020) Gastric cancer: development and validation of a CT-based model to predict peritoneal metastasis. Acta Radiol 61:732-742.doi:https:\/\/doi.org\/10.1177\/0284185119882662","journal-title":"Acta Radiol"},{"key":"3287_CR36","doi-asserted-by":"publisher","first-page":"6587","DOI":"10.3748\/wjg.v11.i42.6587","volume":"11","author":"DK Chang","year":"2005","unstructured":"Chang DK, Kim JW, Kim BK et al (2005) Clinical significance of CT-defined minimal ascites in patients with gastric cancer. World J Gastroenterol 11:6587-6592.doi:https:\/\/doi.org\/10.3748\/wjg.v11.i42.6587","journal-title":"World J Gastroenterol"},{"key":"3287_CR37","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1016\/j.amjsurg.2006.05.007","volume":"192","author":"K Yajima","year":"2006","unstructured":"Yajima K, Kanda T, Ohashi M et al (2006) Clinical and diagnostic significance of preoperative computed tomography findings of ascites in patients with advanced gastric cancer. Am J Surg 192:185-190.doi:https:\/\/doi.org\/10.1016\/j.amjsurg.2006.05.007","journal-title":"Am J Surg"},{"key":"3287_CR38","doi-asserted-by":"publisher","first-page":"178","DOI":"10.4143\/crt.2004.36.3.178","volume":"36","author":"GI Hwang","year":"2004","unstructured":"Hwang GI, Yoo CH, Sohn BH et al (2004) Predictive value of preoperative serum CEA, CA19-9 and CA125 levels for peritoneal metastasis in patients with gastric carcinoma. Cancer Res Treat 36:178-181.doi:https:\/\/doi.org\/10.4143\/crt.2004.36.3.178","journal-title":"Cancer Res Treat"},{"key":"3287_CR39","doi-asserted-by":"publisher","unstructured":"Zhou P, Qu H, Shi H, Sun G, He Q (2014) Predictive value of CA125 in peritoneal metastasis and prognosis of patients with gastric carcinoma. Chinese Journal of Gastrointestinal Surgery. https:\/\/doi.org\/10.3760\/cma.j.issn.1671-0274.2014.10.017:1027-1030.doi:https:\/\/doi.org\/10.3760\/cma.j.issn.1671-0274.2014.10.017","DOI":"10.3760\/cma.j.issn.1671-0274.2014.10.017:1027-1030 10.3760\/cma.j.issn.1671-0274.2014.10.017"},{"key":"3287_CR40","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1038\/nrc1098","volume":"3","author":"IJ Fidler","year":"2003","unstructured":"Fidler IJ (2003) The pathogenesis of cancer metastasis: the 'seed and soil' hypothesis revisited. Nat Rev Cancer 3:453-458.doi:https:\/\/doi.org\/10.1038\/nrc1098","journal-title":"Nat Rev Cancer"},{"key":"3287_CR41","doi-asserted-by":"publisher","unstructured":"Liang H (2019) [The Precised Management of Surgical Treatment for Gastric Cancer: Interpretation of the 5th edition of Japanese Gastric Cancer Treatment Guideline and the 15th edition of Japanese Classification for Gastric Cancer]. Zhonghua Zhong Liu Za Zhi 41:168\u2013172.doi:https:\/\/doi.org\/10.3760\/cma.j.issn.0253-3766.2019.03.002","DOI":"10.3760\/cma.j.issn.0253-3766.2019.03.002"}],"container-title":["Abdominal Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00261-021-03287-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00261-021-03287-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00261-021-03287-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,20]],"date-time":"2022-01-20T14:09:47Z","timestamp":1642687787000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00261-021-03287-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,12]]},"references-count":41,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,1]]}},"alternative-id":["3287"],"URL":"https:\/\/doi.org\/10.1007\/s00261-021-03287-2","relation":{},"ISSN":["2366-004X","2366-0058"],"issn-type":[{"value":"2366-004X","type":"print"},{"value":"2366-0058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10,12]]},"assertion":[{"value":"5 July 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 September 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 September 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 October 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 authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}