{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T13:25:07Z","timestamp":1787318707467,"version":"build-2736575974"},"reference-count":35,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2018,4,1]],"date-time":"2018-04-01T00:00:00Z","timestamp":1522540800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81227902"],"award-info":[{"award-number":["81227902"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2016YFC1304702"],"award-info":[{"award-number":["2016YFC1304702"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.jp","clinicalkey.com","clinicalkey.es","clinicalkey.fr","clinicalkey.com.au","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2018,4]]},"DOI":"10.1016\/j.mri.2017.10.016","type":"journal-article","created":{"date-parts":[[2017,11,2]],"date-time":"2017-11-02T13:10:38Z","timestamp":1509628238000},"page":"60-66","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":20,"special_numbering":"C","title":["A study on diffusion and kurtosis features of cervical cancer based on non-Gaussian diffusion weighted model"],"prefix":"10.1016","volume":"47","author":[{"given":"Panying","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Deepa","family":"Thapa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guangyao","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qunqi","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongbin","family":"Cai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Tuo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"2","key":"10.1016\/j.mri.2017.10.016_bb0005","doi-asserted-by":"crossref","first-page":"69","DOI":"10.3322\/caac.20107","article-title":"Global cancer statistics","volume":"61","author":"Jemal","year":"2011","journal-title":"CA Cancer J Clin"},{"issue":"Suppl. 3","key":"10.1016\/j.mri.2017.10.016_bb0010","first-page":"S3\/11","article-title":"Chapter 2: the burden of HPV-related cancers","volume":"24","author":"Parkin","year":"2006","journal-title":"Vaccine"},{"issue":"4","key":"10.1016\/j.mri.2017.10.016_bb0015","first-page":"302","article-title":"Concurrent cisplatin-based chemoradiation in squamous cell carcinoma of cervix","volume":"26","author":"Hashmi","year":"2016","journal-title":"J Coll Physicians Surg Pak"},{"issue":"2","key":"10.1016\/j.mri.2017.10.016_bb0020","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/j.ijgo.2014.02.003","article-title":"FIGO staging for carcinoma of the vulva, cervix, and corpus uteri","volume":"125","author":"Belhadj","year":"2014","journal-title":"Int J Gynaecol Obstet"},{"issue":"1","key":"10.1016\/j.mri.2017.10.016_bb0025","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1016\/S1470-2045(09)70190-1","article-title":"Use of new imaging techniques to predict tumour response to therapy","volume":"11","author":"Harry","year":"2010","journal-title":"Lancet Oncol"},{"issue":"1","key":"10.1016\/j.mri.2017.10.016_bb0030","doi-asserted-by":"crossref","first-page":"11","DOI":"10.4103\/0973-1482.95167","article-title":"Functional magnetic resonance imaging in cervical cancer: current evidence and future directions","volume":"8","author":"Kundu","year":"2012","journal-title":"J Cancer Res Ther"},{"issue":"2","key":"10.1016\/j.mri.2017.10.016_bb0035","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1002\/jmri.22786","article-title":"Oncologic applications of diffusion-weighted MRI in the body","volume":"35","author":"Bonekamp","year":"2012","journal-title":"J Magn Reson Imaging"},{"issue":"2","key":"10.1016\/j.mri.2017.10.016_bb0040","doi-asserted-by":"crossref","first-page":"627","DOI":"10.1007\/s00330-016-4417-0","article-title":"Separation of type and grade in cervical tumours using non-mono-exponential models of diffusion-weighted MRI","volume":"27","author":"Winfield","year":"2017","journal-title":"Eur Radiol"},{"issue":"8","key":"10.1016\/j.mri.2017.10.016_bb0045","doi-asserted-by":"crossref","first-page":"1050","DOI":"10.1016\/j.mri.2016.04.009","article-title":"Intravoxel incoherent motion diffusion weighted MRI of cervical cancer - correlated with tumor differentiation and perfusion","volume":"34","author":"Zhou","year":"2016","journal-title":"Magn Reson Imaging"},{"issue":"10","key":"10.1016\/j.mri.2017.10.016_bb0050","doi-asserted-by":"crossref","first-page":"1534","DOI":"10.1016\/j.mri.2012.04.020","article-title":"Assessment of hepatocellular carcinoma using apparent diffusion coefficient and diffusion kurtosis indices: preliminary experience in fresh liver explants","volume":"30","author":"Rosenkrantz","year":"2012","journal-title":"Magn Reson Imaging"},{"issue":"6","key":"10.1016\/j.mri.2017.10.016_bb0055","doi-asserted-by":"crossref","first-page":"1432","DOI":"10.1002\/mrm.20508","article-title":"Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging","volume":"53","author":"Jensen","year":"2005","journal-title":"Magn Reson Med"},{"key":"10.1016\/j.mri.2017.10.016_bb0060","series-title":"Diffusion kurtosis imaging predicts neoadjuvant chemotherapy responses within 4 days in advanced nasopharyngeal carcinoma patients","first-page":"1354","volume":"42(5)","author":"Chen","year":"2015"},{"issue":"1","key":"10.1016\/j.mri.2017.10.016_bb0065","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1148\/radiol.12112290","article-title":"Prostate cancer: feasibility and preliminary experience of a diffusional kurtosis model for detection and assessment of aggressiveness of peripheral zone cancer","volume":"264","author":"Rosenkrantz","year":"2012","journal-title":"Radiology"},{"issue":"6","key":"10.1016\/j.mri.2017.10.016_bb0070","doi-asserted-by":"crossref","first-page":"1197","DOI":"10.1007\/s00330-014-3146-5","article-title":"Application of the diffusion kurtosis model for the study of breast lesions","volume":"24","author":"Nogueira","year":"2014","journal-title":"Eur Radiol"},{"issue":"5","key":"10.1016\/j.mri.2017.10.016_bb0075","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1016\/j.mri.2014.01.006","article-title":"Diffusion kurtosis imaging of the human kidney: a feasibility study","volume":"32","author":"Pentang","year":"2014","journal-title":"Magn Reson Imaging"},{"issue":"5","key":"10.1016\/j.mri.2017.10.016_bb0080","doi-asserted-by":"crossref","first-page":"1848","DOI":"10.1007\/s00330-016-4529-6","article-title":"The value of diffusion kurtosis magnetic resonance imaging for assessing treatment response of neoadjuvant chemoradiotherapy in locally advanced rectal cancer","volume":"27","author":"Yu","year":"2017","journal-title":"Eur Radiol"},{"issue":"3","key":"10.1016\/j.mri.2017.10.016_bb0085","doi-asserted-by":"crossref","first-page":"723","DOI":"10.1002\/jmri.24379","article-title":"Diffusion kurtosis imaging study of prostate cancer: preliminary findings","volume":"40","author":"Tamura","year":"2014","journal-title":"J Magn Reson Imaging"},{"issue":"2","key":"10.1016\/j.mri.2017.10.016_bb0090","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1097\/RCT.0000000000000197","article-title":"Investigation of the non-Gaussian water diffusion properties in bladder cancer using diffusion kurtosis imaging: a preliminary study","volume":"39","author":"Suo","year":"2015","journal-title":"J Comput Assist Tomogr"},{"issue":"5","key":"10.1016\/j.mri.2017.10.016_bb0095","doi-asserted-by":"crossref","first-page":"1190","DOI":"10.1002\/jmri.24985","article-title":"Body diffusion kurtosis imaging: basic principles, applications, and considerations for clinical practice","volume":"42","author":"Rosenkrantz","year":"2015","journal-title":"J Magn Reson Imaging"},{"issue":"5","key":"10.1016\/j.mri.2017.10.016_bb0100","doi-asserted-by":"crossref","first-page":"1020","DOI":"10.1002\/jmri.22546","article-title":"Interest of diffusion-weighted echo-planar MR imaging and apparent diffusion coefficient mapping in gynecological malignancies: a review","volume":"33","author":"Levy","year":"2011","journal-title":"J Magn Reson Imaging"},{"issue":"4","key":"10.1016\/j.mri.2017.10.016_bb0105","doi-asserted-by":"crossref","first-page":"1082","DOI":"10.1148\/rg.344140001","article-title":"Optimization of MR imaging for pretreatment evaluation of patients with endometrial and cervical cancer","volume":"34","author":"Rauch","year":"2014","journal-title":"Radiographics"},{"issue":"4","key":"10.1016\/j.mri.2017.10.016_bb0110","doi-asserted-by":"crossref","first-page":"1050","DOI":"10.1007\/s00330-012-2681-1","article-title":"The value of apparent diffusion coefficient in the assessment of cervical cancer","volume":"23","author":"Kuang","year":"2013","journal-title":"Eur Radiol"},{"issue":"4","key":"10.1016\/j.mri.2017.10.016_bb0115","doi-asserted-by":"crossref","first-page":"751","DOI":"10.1097\/IGC.0000000000000124","article-title":"Assessment of the early predictive power of quantitative magnetic resonance imaging parameters during neoadjuvant chemotherapy for uterine cervical cancer","volume":"24","author":"Himoto","year":"2014","journal-title":"Int J Gynecol Cancer"},{"issue":"4","key":"10.1016\/j.mri.2017.10.016_bb0120","doi-asserted-by":"crossref","first-page":"741","DOI":"10.3174\/ajnr.A1919","article-title":"Non-gaussian analysis of diffusion-weighted MR imaging in head and neck squamous cell carcinoma: a feasibility study","volume":"31","author":"Jansen","year":"2010","journal-title":"AJNR Am J Neuroradiol"},{"issue":"7","key":"10.1016\/j.mri.2017.10.016_bb0125","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0159652","article-title":"Evaluating prostate cancer using fractional tissue composition of radical prostatectomy specimens and pre-operative diffusional kurtosis magnetic resonance imaging","volume":"11","author":"Lawrence","year":"2016","journal-title":"PLoS One"},{"issue":"7","key":"10.1016\/j.mri.2017.10.016_bb0130","doi-asserted-by":"crossref","first-page":"698","DOI":"10.1002\/nbm.1518","article-title":"Quantification of non-Gaussian water diffusion by kurtosis analysis","volume":"23","author":"Jensen","year":"2010","journal-title":"NMR Biomed"},{"issue":"2","key":"10.1016\/j.mri.2017.10.016_bb0135","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1002\/nbm.1020","article-title":"Three-dimensional characterization of non-gaussian water diffusion in humans using diffusion kurtosis imaging","volume":"19","author":"Lu","year":"2006","journal-title":"NMR Biomed"},{"issue":"7","key":"10.1016\/j.mri.2017.10.016_bb0140","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","year":"2014","journal-title":"Eur Radiol"},{"issue":"3","key":"10.1016\/j.mri.2017.10.016_bb0145","doi-asserted-by":"crossref","first-page":"956","DOI":"10.1007\/s00330-016-4440-1","article-title":"Prediction of the treatment outcome using intravoxel incoherent motion and diffusional kurtosis imaging in nasal or sinonasal squamous cell carcinoma patients","volume":"27","author":"Fujima","year":"2017","journal-title":"Eur Radiol"},{"issue":"2","key":"10.1016\/j.mri.2017.10.016_bb0150","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1148\/radiol.13130420","article-title":"Apparent diffusion coefficient and beyond: what diffusion MR imaging can tell us about tissue structure","volume":"268","author":"Le Bihan","year":"2013","journal-title":"Radiology"},{"issue":"2","key":"10.1016\/j.mri.2017.10.016_bb0155","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0089225","article-title":"Non-Gaussian diffusion imaging for enhanced contrast of brain tissue affected by ischemic stroke","volume":"9","author":"Grinberg","year":"2014","journal-title":"PLoS One"},{"issue":"2","key":"10.1016\/j.mri.2017.10.016_bb0160","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1097\/IGC.0b013e3182072eea","article-title":"Parametrial involvement in FIGO stage IB1 cervical carcinoma diagnostic impact of tumor diameter in preoperative magnetic resonance imaging","volume":"21","author":"Kamimori","year":"2011","journal-title":"Int J Gynecol Cancer"},{"issue":"9","key":"10.1016\/j.mri.2017.10.016_bb0165","doi-asserted-by":"crossref","first-page":"1828","DOI":"10.1007\/s003300000774","article-title":"Preoperative staging of cervical carcinoma with MR imaging: a reappraisal of diagnostic accuracy and pitfalls","volume":"11","author":"Sheu","year":"2001","journal-title":"Eur Radiol"},{"issue":"2","key":"10.1016\/j.mri.2017.10.016_bb0170","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1148\/rg.232025065","article-title":"MR imaging of the uterine cervix: imaging-pathologic correlation","volume":"23","author":"Okamoto","year":"2003","journal-title":"Radiographics"},{"issue":"1","key":"10.1016\/j.mri.2017.10.016_bb0175","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1148\/radiol.2015150400","article-title":"Association of apparent diffusion coefficient with disease recurrence in patients with locally advanced cervical cancer treated with radical chemotherapy and radiation therapy","volume":"279","author":"Gladwish","year":"2016","journal-title":"Radiology"}],"container-title":["Magnetic Resonance Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0730725X17302412?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0730725X17302412?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,10,5]],"date-time":"2019-10-05T09:52:17Z","timestamp":1570269137000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0730725X17302412"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,4]]},"references-count":35,"alternative-id":["S0730725X17302412"],"URL":"https:\/\/doi.org\/10.1016\/j.mri.2017.10.016","relation":{},"ISSN":["0730-725X"],"issn-type":[{"value":"0730-725X","type":"print"}],"subject":[],"published":{"date-parts":[[2018,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A study on diffusion and kurtosis features of cervical cancer based on non-Gaussian diffusion weighted model","name":"articletitle","label":"Article Title"},{"value":"Magnetic Resonance Imaging","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.mri.2017.10.016","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2017 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}]}}