{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T21:10:03Z","timestamp":1785618603792,"version":"3.56.0"},"reference-count":38,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T00:00:00Z","timestamp":1598918400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T00:00:00Z","timestamp":1598918400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","ejradiology.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["European Journal of Radiology"],"published-print":{"date-parts":[[2020,9]]},"DOI":"10.1016\/j.ejrad.2020.109102","type":"journal-article","created":{"date-parts":[[2020,5,31]],"date-time":"2020-05-31T10:04:34Z","timestamp":1590919474000},"page":"109102","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":26,"special_numbering":"C","title":["Multiple mathematical models of diffusion-weighted imaging for endometrial cancer characterization: Correlation with prognosis-related risk factors"],"prefix":"10.1016","volume":"130","author":[{"given":"Qi","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Han","family":"Ouyang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feng","family":"Ye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lizhi","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinming","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoduo","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.ejrad.2020.109102_bib0005","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1097\/IGC.0000000000000609","article-title":"ESMO-ESGO-ESTRO consensus conference on endometrial cancer: diagnosis, treatment and follow-up","volume":"26","author":"Colombo","year":"2016","journal-title":"Int. J. Gynecol. Cancer"},{"issue":"3","key":"10.1016\/j.ejrad.2020.109102_bib0010","first-page":"179","article-title":"Factors predicting recurrent endometrial cancer","volume":"5","author":"Huijgens","year":"2013","journal-title":"Facts Views Vis. Obgyn."},{"issue":"5","key":"10.1016\/j.ejrad.2020.109102_bib0015","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1097\/CCO.0000000000000385","article-title":"Novel imaging techniques in gynaecological cancer","volume":"29","author":"Vandecaveye","year":"2017","journal-title":"Curr. Opin. Oncol."},{"issue":"6","key":"10.1016\/j.ejrad.2020.109102_bib0020","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1016\/j.diii.2018.01.010","article-title":"Preoperative MR imaging for ESMO-ESGO-ESTRO classification of endometrial cancer","volume":"99","author":"Lavaud","year":"2018","journal-title":"Diagn. Interv. Imaging"},{"issue":"10023","key":"10.1016\/j.ejrad.2020.109102_bib0025","doi-asserted-by":"crossref","first-page":"1094","DOI":"10.1016\/S0140-6736(15)00130-0","article-title":"Endometrial cancer","volume":"387","author":"Morice","year":"2016","journal-title":"Lancet"},{"issue":"1","key":"10.1016\/j.ejrad.2020.109102_bib0030","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1148\/radiol.13131073","article-title":"Apparent diffusion coefficient in estrogen receptor-positive invasive ductal breast carcinoma: correlations with tumor-stroma ratio","volume":"271","author":"Ko","year":"2014","journal-title":"Radiology"},{"issue":"8","key":"10.1016\/j.ejrad.2020.109102_bib0035","doi-asserted-by":"crossref","first-page":"1021","DOI":"10.1177\/0284185115612249","article-title":"Endometrial cancer: correlation of apparent diffusion coefficient (ADC) with tumor cellularity and tumor grade","volume":"57","author":"Kishimoto","year":"2016","journal-title":"Acta Radiol."},{"issue":"5","key":"10.1016\/j.ejrad.2020.109102_bib0040","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1016\/j.bpobgyn.2014.04.007","article-title":"Imaging in endometrial cancer","volume":"28","author":"Epstein","year":"2014","journal-title":"Best Pract. Res. Clin. Obstet. Gynaecol."},{"issue":"2","key":"10.1016\/j.ejrad.2020.109102_bib0045","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1148\/radiology.168.2.3393671","article-title":"Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging","volume":"168","author":"Le Bihan","year":"1988","journal-title":"Radiology"},{"issue":"1","key":"10.1016\/j.ejrad.2020.109102_bib0050","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1186\/s12885-016-2116-5","article-title":"Evaluating early response of cervical cancer under concurrent chemo-radiotherapy by intravoxel incoherent motion MR imaging","volume":"16","author":"Zhu","year":"2016","journal-title":"BMC Cancer"},{"issue":"5","key":"10.1016\/j.ejrad.2020.109102_bib0055","doi-asserted-by":"crossref","first-page":"1875","DOI":"10.1007\/s00330-017-5183-3","article-title":"Intravoxel incoherent motion MR imaging of early cervical carcinoma: correlation between imaging parameters and tumor-stroma ratio","volume":"28","author":"Li","year":"2018","journal-title":"Eur. Radiol."},{"issue":"4","key":"10.1016\/j.ejrad.2020.109102_bib0060","doi-asserted-by":"crossref","first-page":"727","DOI":"10.1002\/mrm.10581","article-title":"Characterization of continuously distributed cortical water diffusion rates with a stretched-exponential model","volume":"50","author":"Bennett","year":"2003","journal-title":"Magn. Reson. Med."},{"issue":"1","key":"10.1016\/j.ejrad.2020.109102_bib0065","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1186\/s40644-018-0178-0","article-title":"Mono, bi- and tri-exponential diffusion MRI modelling for renal solid masses and comparison with histopathological findings","volume":"18","author":"van Baalen","year":"2018","journal-title":"Cancer Imaging"},{"issue":"6","key":"10.1016\/j.ejrad.2020.109102_bib0070","doi-asserted-by":"crossref","first-page":"1797","DOI":"10.1002\/jmri.25722","article-title":"Comparison between types I and II epithelial ovarian cancer using histogram analysis of monoexponential, biexponential, and stretched-exponential diffusion models","volume":"46","author":"Wang","year":"2017","journal-title":"J. Magn. Reson. Imaging"},{"issue":"3","key":"10.1016\/j.ejrad.2020.109102_bib0075","doi-asserted-by":"crossref","first-page":"758","DOI":"10.1148\/radiol.13130444","article-title":"Intravoxel incoherent motion diffusion-weighted MR imaging of hepatocellular carcinoma: correlation with enhancement degree and histologic grade","volume":"270","author":"Woo","year":"2014","journal-title":"Radiology"},{"issue":"2","key":"10.1016\/j.ejrad.2020.109102_bib0080","doi-asserted-by":"crossref","first-page":"496","DOI":"10.1148\/radiol.2015142173","article-title":"Grading of gliomas by using monoexponential, biexponential, and stretched exponential diffusion-weighted mr imaging and diffusion kurtosis MR Imaging","volume":"278","author":"Bai","year":"2016","journal-title":"Radiology"},{"issue":"1","key":"10.1016\/j.ejrad.2020.109102_bib0085","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1002\/jmri.25567","article-title":"Assessment of pathological complete response to preoperative chemoradiotherapy by means of multiple mathematical models of diffusion-weighted MRI in locally advanced rectal cancer: a prospective single-center study","volume":"46","author":"Zhu","year":"2017","journal-title":"J. Magn. Reson. Imaging"},{"issue":"2","key":"10.1016\/j.ejrad.2020.109102_bib0090","doi-asserted-by":"crossref","first-page":"446","DOI":"10.1148\/radiol.2016150702","article-title":"Intravoxel incoherent motion-derived histogram metrics for assessment of response after combined chemotherapy and radiation therapy in rectal cancer: initial experience and comparison between single-section and volumetric analyses","volume":"280","author":"Nougaret","year":"2016","journal-title":"Radiology"},{"key":"10.1016\/j.ejrad.2020.109102_bib0095","doi-asserted-by":"crossref","DOI":"10.1016\/j.ejrad.2019.08.006","article-title":"Multi-b-value diffusion weighted imaging for preoperative evaluation of risk stratification in early-stage endometrial cancer","volume":"119","author":"Zhang","year":"2019","journal-title":"Eur. J. Radiol."},{"issue":"11","key":"10.1016\/j.ejrad.2020.109102_bib0100","doi-asserted-by":"crossref","first-page":"1566","DOI":"10.1177\/0284185119837932","article-title":"Bi-exponential versus mono-exponential diffusion-weighted imaging for evaluating prostate cancer aggressiveness after radical prostatectomy: a whole-tumor histogram analysis","volume":"60","author":"Zhang","year":"2019","journal-title":"Acta Radiol."},{"issue":"6","key":"10.1016\/j.ejrad.2020.109102_bib0105","doi-asserted-by":"crossref","first-page":"2400","DOI":"10.1007\/s00330-016-4596-8","article-title":"Contribution of mono-exponential, bi-exponential and stretched exponential model-based diffusion-weighted MR imaging in the diagnosis and differentiation of uterine cervical carcinoma","volume":"27","author":"Lin","year":"2017","journal-title":"Eur. Radiol."},{"issue":"8","key":"10.1016\/j.ejrad.2020.109102_bib0110","doi-asserted-by":"crossref","first-page":"791","DOI":"10.1016\/S0046-8177(98)90447-6","article-title":"Immunophenotype, proliferation, DNA ploidy, and biological behavior of gastrointestinal stromal tumors: a multivariate clinicopathologic study","volume":"29","author":"Rudolph","year":"1998","journal-title":"Hum. Pathol."},{"issue":"10","key":"10.1016\/j.ejrad.2020.109102_bib0115","doi-asserted-by":"crossref","first-page":"1270","DOI":"10.1177\/0284185113514967","article-title":"Histogram analysis of apparent diffusion coefficient map of diffusion-weighted MRI in endometrial cancer: a preliminary correlation study with histological grade","volume":"55","author":"Woo","year":"2014","journal-title":"Acta Radiol."},{"issue":"1","key":"10.1016\/j.ejrad.2020.109102_bib0120","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1186\/s40644-019-0196-6","article-title":"Comparative analysis of the value of diffusion kurtosis imaging and diffusion-weighted imaging in evaluating the histological features of endometrial cancer","volume":"19","author":"Yue","year":"2019","journal-title":"Cancer Imaging"},{"issue":"5","key":"10.1016\/j.ejrad.2020.109102_bib0125","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1016\/j.crad.2014.12.016","article-title":"Tumour apparent diffusion coefficient is associated with depth of myometrial invasion and is negatively correlated to tumour volume in endometrial carcinomas","volume":"70","author":"Husby","year":"2015","journal-title":"Clin. Radiol."},{"issue":"8","key":"10.1016\/j.ejrad.2020.109102_bib0130","doi-asserted-by":"crossref","first-page":"1010","DOI":"10.1177\/0284185117740932","article-title":"Preoperative quantitative dynamic contrast-enhanced MRI and diffusion-weighted imaging predict aggressive disease in endometrial cancer","volume":"59","author":"Fasmer","year":"2018","journal-title":"Acta Radiol."},{"issue":"3","key":"10.1016\/j.ejrad.2020.109102_bib0135","doi-asserted-by":"crossref","first-page":"797","DOI":"10.1148\/radiol.15141212","article-title":"Endometrial cancer: combined MR volumetry and diffusion-weighted imaging for assessment of myometrial and lymphovascular invasion and tumor grade","volume":"276","author":"Nougaret","year":"2015","journal-title":"Radiology"},{"issue":"7","key":"10.1016\/j.ejrad.2020.109102_bib0140","doi-asserted-by":"crossref","first-page":"1506","DOI":"10.1007\/s00330-014-3160-7","article-title":"Perfusion and diffusion characteristics of cervical cancer based on intraxovel incoherent motion MR imaging-a pilot study","volume":"24","author":"Lee EYP","year":"2014","journal-title":"Eur. Radiol."},{"issue":"4","key":"10.1016\/j.ejrad.2020.109102_bib0145","doi-asserted-by":"crossref","first-page":"195","DOI":"10.2463\/mrms.9.195","article-title":"Biexponential signal attenuation analysis of diffusion-weighted imaging of breast","volume":"9","author":"Tamura","year":"2010","journal-title":"Magn. Reson. Med. Sci."},{"issue":"3","key":"10.1016\/j.ejrad.2020.109102_bib0150","doi-asserted-by":"crossref","first-page":"770","DOI":"10.1148\/radiol.12111248","article-title":"Salivary gland tumors: use of intravoxel incoherent motion MR imaging for assessment of diffusion and perfusion for the differentiation of benign from malignant tumors","volume":"263","author":"Sumi","year":"2012","journal-title":"Radiology"},{"issue":"2","key":"10.1016\/j.ejrad.2020.109102_bib0155","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1007\/s00330-010-1914-4","article-title":"The diffusion-weighted imaging perfusion fraction f is a potential marker of sorafenib treatment in advanced hepatocellular carcinoma: a pilot study","volume":"21","author":"Lewin","year":"2011","journal-title":"Eur. Radiol."},{"issue":"2","key":"10.1016\/j.ejrad.2020.109102_bib0160","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1007\/s00330-012-2604-1","article-title":"Measurement reproducibility of perfusion fraction and pseudodiffusion coefficient derived by intravoxel incoherent motion diffusion-weighted MR imaging in normal liver and metastases","volume":"23","author":"Andreou","year":"2013","journal-title":"Eur. Radiol."},{"issue":"3","key":"10.1016\/j.ejrad.2020.109102_bib0165","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1002\/mrm.21453","article-title":"From diffusion-weighted MRI to anomalous diffusion imaging","volume":"59","author":"Hall","year":"2008","journal-title":"Magn. Reson. Med."},{"issue":"2","key":"10.1016\/j.ejrad.2020.109102_bib0170","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1002\/mrm.20960","article-title":"Water diffusion heterogeneity index in the human brain is insensitive to the orientation of applied magnetic field gradients","volume":"56","author":"Bennett","year":"2006","journal-title":"Magn. Reson. Med."},{"issue":"7","key":"10.1016\/j.ejrad.2020.109102_bib0175","doi-asserted-by":"crossref","first-page":"2812","DOI":"10.1007\/s00330-017-5292-z","article-title":"Liver fibrosis: stretched exponential model outperforms mono-exponential and bi-exponential models of diffusion-weighted MRI","volume":"28","author":"Seo","year":"2018","journal-title":"Eur. Radiol."},{"issue":"8","key":"10.1016\/j.ejrad.2020.109102_bib0180","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1016\/j.crad.2019.04.007","article-title":"Grading meningiomas using mono-exponential, bi-exponential and stretched exponential model-based diffusion-weighted MR imaging","volume":"74","author":"Lin","year":"2019","journal-title":"Clin. Radiol."},{"issue":"8","key":"10.1016\/j.ejrad.2020.109102_bib0185","doi-asserted-by":"crossref","first-page":"1253","DOI":"10.1200\/JCO.2005.04.5302","article-title":"Recent advances in the treatment of malignant astrocytoma","volume":"24","author":"Reardon","year":"2006","journal-title":"J. Clin. Oncol."},{"issue":"4","key":"10.1016\/j.ejrad.2020.109102_bib0190","doi-asserted-by":"crossref","first-page":"1078","DOI":"10.1002\/jmri.24872","article-title":"Comparison of stretched-Exponential and monoexponential model diffusion-Weighted imaging in prostate cancer and normal tissues","volume":"42","author":"Liu","year":"2015","journal-title":"J. Magn. Reson. Imaging"}],"container-title":["European Journal of Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0720048X20302916?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0720048X20302916?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T07:18:44Z","timestamp":1759994324000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0720048X20302916"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9]]},"references-count":38,"alternative-id":["S0720048X20302916"],"URL":"https:\/\/doi.org\/10.1016\/j.ejrad.2020.109102","relation":{},"ISSN":["0720-048X"],"issn-type":[{"value":"0720-048X","type":"print"}],"subject":[],"published":{"date-parts":[[2020,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Multiple mathematical models of diffusion-weighted imaging for endometrial cancer characterization: Correlation with prognosis-related risk factors","name":"articletitle","label":"Article Title"},{"value":"European Journal of Radiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ejrad.2020.109102","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2020 Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"109102"}}