{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T15:11:17Z","timestamp":1792595477005,"version":"4.5.0"},"reference-count":43,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100004775","name":"Natural Science Foundation of Gansu Province","doi-asserted-by":"publisher","award":["21JR1RA145"],"award-info":[{"award-number":["21JR1RA145"]}],"id":[{"id":"10.13039\/501100004775","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.fr","clinicalkey.jp","clinicalkey.es","clinicalkey.com.au","clinicalkey.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1016\/j.mri.2024.07.003","type":"journal-article","created":{"date-parts":[[2024,7,5]],"date-time":"2024-07-05T01:44:39Z","timestamp":1720143879000},"page":"110204","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":13,"special_numbering":"C","title":["Combination of IVIM with DCE-MRI for diagnostic and prognostic evaluation of breast cancer"],"prefix":"10.1016","volume":"113","author":[{"given":"Jing","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yurong","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weilong","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kai","family":"Ai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tiejun","family":"Gan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pengfei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.mri.2024.07.003_bb0005","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1016\/j.jss.2016.04.048","article-title":"Predictive value of axillary nodal imaging by magnetic resonance imaging based on breast cancer subtype after neoadjuvant chemotherapy","volume":"204","author":"Steiman","year":"2016","journal-title":"J Surg Res"},{"issue":"4","key":"10.1016\/j.mri.2024.07.003_bb0010","doi-asserted-by":"crossref","first-page":"1175","DOI":"10.1002\/jmri.27190","article-title":"Comparative study of amide proton transfer-weighted imaging and intravoxel incoherent motion imaging in breast cancer diagnosis and evaluation","volume":"52","author":"Meng","year":"2020","journal-title":"J Magn Reson Imaging"},{"issue":"1","key":"10.1016\/j.mri.2024.07.003_bb0015","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1016\/j.tranon.2015.11.016","article-title":"Early prediction and evaluation of breast cancer response to neoadjuvant chemotherapy using quantitative DCE-MRI","volume":"9","author":"Tudorica","year":"2016","journal-title":"Transl Oncol"},{"issue":"6","key":"10.1016\/j.mri.2024.07.003_bb0020","doi-asserted-by":"crossref","first-page":"1262","DOI":"10.1002\/jmri.22795","article-title":"Fundamentals of tracer kinetics for dynamic contrast-enhanced MRI","volume":"34","author":"Koh","year":"2011","journal-title":"J Magn Reson Imaging"},{"issue":"1","key":"10.1016\/j.mri.2024.07.003_bb0025","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1007\/s12282-018-0899-8","article-title":"Histogram analysis of quantitative pharmacokinetic parameters on DCE-MRI: correlations with prognostic factors and molecular subtypes in breast cancer","volume":"26","author":"Nagasaka","year":"2019","journal-title":"Breast Cancer"},{"issue":"6","key":"10.1016\/j.mri.2024.07.003_bb0030","doi-asserted-by":"crossref","first-page":"1498","DOI":"10.2214\/AJR.10.4665","article-title":"Bluemke DA.3-T dynamic contrast-enhanced MRI of the breast: pharmacokinetic parameters versus conventional kinetic curve analysis","volume":"197","author":"El Khouli","year":"2011","journal-title":"Am J Roentgenol"},{"key":"10.1016\/j.mri.2024.07.003_bb0035","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1186\/1471-2407-11-361","article-title":"Accuracy of perfusion MRI with high spatial but low temporal resolution to assess invasive breast cancer response to neoadjuvant chemotherapy: a retrospective study","volume":"11","author":"de Bazelaire","year":"2011","journal-title":"BMC Cancer"},{"issue":"69","key":"10.1016\/j.mri.2024.07.003_bb0040","doi-asserted-by":"crossref","first-page":"114360","DOI":"10.18632\/oncotarget.22267","article-title":"Prediction of low-risk breast cancer using quantitative DCE-MRI and its pathological basis","volume":"8","author":"Xu","year":"2017","journal-title":"Oncotarget"},{"issue":"5","key":"10.1016\/j.mri.2024.07.003_bb0045","doi-asserted-by":"crossref","first-page":"3522","DOI":"10.3892\/ol.2016.4422","article-title":"Association between dynamic contrast enhanced MRI imaging features and WHO histopathological grade in patients with invasive ductal breast cancer","volume":"11","author":"Huang","year":"2016","journal-title":"Oncol Lett"},{"issue":"2","key":"10.1016\/j.mri.2024.07.003_bb0050","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.mri.2024.07.003_bb0055","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1148\/radiol.15141625","article-title":"Breast cancer: diffusion kurtosis MR imaging-diagnostic accuracy and correlation with clinical-pathologic factors","volume":"277","author":"Sun","year":"2015","journal-title":"Radiology"},{"issue":"5","key":"10.1016\/j.mri.2024.07.003_bb0060","doi-asserted-by":"crossref","first-page":"1394","DOI":"10.1002\/jmri.25514","article-title":"Intravoxel incoherent motion (IVIM)-derived parameters in diffusion-weighted MRI: associations with prognostic factors in invasive ductal carcinoma","volume":"45","author":"Lee","year":"2017","journal-title":"J Magn Reson Imaging"},{"issue":"8","key":"10.1016\/j.mri.2024.07.003_bb0065","doi-asserted-by":"crossref","first-page":"2547","DOI":"10.1007\/s00330-015-4087-3","article-title":"Evaluation of breast cancer using intravoxel incoherent motion (IVIM) histogram analysis: comparison with malignant status, histological subtype, and molecular prognostic factors","volume":"26","author":"Cho","year":"2016","journal-title":"Eur Radiol"},{"issue":"2","key":"10.1016\/j.mri.2024.07.003_bb0070","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1148\/radiol.2017162853","article-title":"Intravoxel incoherent motion and quantitative non-Gaussian diffusion MR imaging: evaluation of the diagnostic and prognostic value of several markers of malignant and benign breast lesions","volume":"287","author":"Iima","year":"2018","journal-title":"Radiology"},{"issue":"5","key":"10.1016\/j.mri.2024.07.003_bb0075","doi-asserted-by":"crossref","first-page":"1360","DOI":"10.1002\/jmri.27241","article-title":"Evaluating the relationship between dynamic contrast-enhanced MRI (DCE-MRI) parameters and pathological characteristics in breast cancer","volume":"52","author":"Kang","year":"2020","journal-title":"J Magn Reson Imaging"},{"issue":"11","key":"10.1016\/j.mri.2024.07.003_bb0100","doi-asserted-by":"crossref","first-page":"3888","DOI":"10.1007\/s00330-016-4241-6","article-title":"Intravoxel incoherent motion MR imaging for breast lesions: comparison and correlation with pharmacokinetic evaluation from dynamic contrast-enhanced MR imaging","volume":"26","author":"Liu","year":"2016","journal-title":"Eur Radiol"},{"issue":"1","key":"10.1016\/j.mri.2024.07.003_bb0105","first-page":"25","article-title":"Prognostic value of 18 F-FDG PET\/CT prior to breast cancer treatment. Comparison with magnetic resonance spectroscopy and diffusion weighted imaging","volume":"22","author":"Kitajima","year":"2019","journal-title":"Hellenic J Nucl Med"},{"issue":"8","key":"10.1016\/j.mri.2024.07.003_bb0110","doi-asserted-by":"crossref","first-page":"4833","DOI":"10.1118\/1.4927255","article-title":"Evaluation of diffusion models in breast cancer","volume":"42","author":"Panek","year":"2015","journal-title":"Med Phys"},{"issue":"4","key":"10.1016\/j.mri.2024.07.003_bb0115","doi-asserted-by":"crossref","first-page":"813","DOI":"10.1002\/jmri.24462","article-title":"Intravoxel incoherent motion diffusion-weighted MRI at 3.0 T differentiates malignant breast lesions from benign lesions and breast parenchyma","volume":"40","author":"Bokacheva","year":"2014","journal-title":"J Magn Reson Imaging"},{"issue":"1","key":"10.1016\/j.mri.2024.07.003_bb0120","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.mri.2015.07.010","article-title":"Analysis of kinetic curve and model-based perfusion parameters on dynamic contrast enhanced MRI in breast cancer patients: correlations with dominant stroma type","volume":"34","author":"Yim","year":"2016","journal-title":"Magn Reson Imaging"},{"issue":"1069","key":"10.1016\/j.mri.2024.07.003_bb0125","doi-asserted-by":"crossref","DOI":"10.1259\/bjr.20160715","article-title":"The potential of multiparametric MRI of the breast","volume":"90","author":"Pinker","year":"2017","journal-title":"Br J Radiol"},{"issue":"1","key":"10.1016\/j.mri.2024.07.003_bb0130","doi-asserted-by":"crossref","first-page":"56","DOI":"10.18383\/j.tom.2015.00184","article-title":"The impact of arterial input function determination variations on prostate dynamic contrast-enhanced magnetic resonance imaging pharmacokinetic modeling: a multicenter data analysis challenge","volume":"2","author":"Huang","year":"2016","journal-title":"Tomography"},{"issue":"1","key":"10.1016\/j.mri.2024.07.003_bb0135","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1002\/jmri.25348","article-title":"Dynamic contrast-enhanced and diffusion-weighted MRI of estrogen receptor-positive invasive breast cancers: associations between quantitative MR parameters and Ki-67 proliferation status","volume":"45","author":"Shin","year":"2017","journal-title":"J Magn Reson Imaging"},{"issue":"3","key":"10.1016\/j.mri.2024.07.003_bb0140","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1007\/s11547-014-0442-8","article-title":"Diffusion magnetic resonance imaging in breast cancer characterisation: correlations between the apparent diffusion coefficient and major prognostic factors","volume":"120","author":"Belli","year":"2015","journal-title":"Radiol Med"},{"issue":"12","key":"10.1016\/j.mri.2024.07.003_bb0145","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0168632","article-title":"Dynamic contrast-enhanced MRI perfusion parameters as imaging biomarkers of angiogenesis","volume":"11","author":"Kim","year":"2016","journal-title":"PLoS ONE"},{"issue":"48","key":"10.1016\/j.mri.2024.07.003_bb0150","doi-asserted-by":"crossref","DOI":"10.1097\/MD.0000000000005330","article-title":"Dynamic contrast-enhanced breast magnetic resonance imaging for the prediction of early and late recurrences in breast cancer","volume":"95","author":"Choi","year":"2016","journal-title":"Medicine"},{"issue":"1","key":"10.1016\/j.mri.2024.07.003_bb0155","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1002\/jmri.23635","article-title":"Correlation of perfusion parameters on dynamic contrast-enhanced MRI with prognostic factors and subtypes of breast cancers","volume":"36","author":"Koo","year":"2012","journal-title":"J Magn Reson Imaging"},{"issue":"2","key":"10.1016\/j.mri.2024.07.003_bb0160","doi-asserted-by":"crossref","first-page":"160","DOI":"10.4048\/jbc.2017.20.2.160","article-title":"Prognostic impact of progesterone receptor status in Chinese estrogen receptor positive invasive breast cancer patients","volume":"20","author":"Yao","year":"2017","journal-title":"J Breast Cancer"},{"issue":"7","key":"10.1016\/j.mri.2024.07.003_bb0165","doi-asserted-by":"crossref","first-page":"1364","DOI":"10.1007\/s00330-011-2061-2","article-title":"Vascular characterisation of triple negative breast carcinomas using dynamic MRI","volume":"21","author":"Li","year":"2011","journal-title":"Eur Radiol"},{"issue":"2","key":"10.1016\/j.mri.2024.07.003_bb0170","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1007\/s00330-003-2025-2","article-title":"Can pre-operative contrast-enhanced dynamic MR imaging for prostate cancer predict microvessel density in prostatectomy specimens?","volume":"14","author":"Schlemmer","year":"2004","journal-title":"Eur Radiol"},{"issue":"4","key":"10.1016\/j.mri.2024.07.003_bb0175","doi-asserted-by":"crossref","first-page":"1701","DOI":"10.1007\/s00330-017-5135-y","article-title":"Application of DWIBS in malignant lymphoma: correlation between ADC values and Ki-67 index","volume":"28","author":"Sun","year":"2018","journal-title":"Eur Radiol"},{"issue":"3","key":"10.1016\/j.mri.2024.07.003_bb0180","first-page":"615","article-title":"Diffusion-weighted imaging of breast cancer: correlation of the apparent diffusion coefficient value with prognostic factors.Journal of magnetic resonance imaging: an official journal of the international society for","volume":"30","author":"Kim","year":"2009","journal-title":"Magn Reson Med"},{"issue":"6","key":"10.1016\/j.mri.2024.07.003_bb0185","doi-asserted-by":"crossref","first-page":"638","DOI":"10.1016\/j.mri.2014.03.003","article-title":"Using intravoxel incoherent motion (IVIM) MR imaging to predict lipiodol uptake in patients with hepatocellular carcinoma following transcatheter arterial chemoembolization: a preliminary result","volume":"32","author":"Park","year":"2014","journal-title":"Magn Reson Imaging"},{"issue":"6","key":"10.1016\/j.mri.2024.07.003_bb0190","doi-asserted-by":"crossref","DOI":"10.1002\/pbc.27666","article-title":"Abbreviated breast magnetic resonance imaging (FAST-MRI): a novel approach to breast cancer screening in patients with previous Hodgkin lymphoma","volume":"66","author":"Indolfi","year":"2019","journal-title":"Pediatr Blood Cancer"},{"issue":"1","key":"10.1016\/j.mri.2024.07.003_bb0195","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.mri.2014.08.034","article-title":"Enhancement parameters on dynamic contrast enhanced breast MRI: do they correlate with prognostic factors and subtypes of breast cancers?","volume":"33","author":"Kim","year":"2015","journal-title":"Magn Reson Imaging"},{"issue":"6","key":"10.1016\/j.mri.2024.07.003_bb0200","doi-asserted-by":"crossref","first-page":"1160","DOI":"10.1038\/bjc.2012.41","article-title":"HER2\/neu and Ki-67 expression predict non-invasive recurrence following breast-conserving therapy for ductal carcinoma in situ","volume":"106","author":"Rakovitch","year":"2012","journal-title":"Br J Cancer"},{"issue":"2","key":"10.1016\/j.mri.2024.07.003_bb0095","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1148\/radiol.2492071147","article-title":"Deconvolution-based dynamic contrast-enhanced MR imaging of breast tumors: correlation of tumor blood flow with human epidermal growth factor receptor 2 status and clinicopathologic findings-preliminary results","volume":"249","author":"Makkat","year":"2008","journal-title":"Radiology"},{"issue":"1016","key":"10.1016\/j.mri.2024.07.003_bb0205","doi-asserted-by":"crossref","first-page":"e474","DOI":"10.1259\/bjr\/79381464","article-title":"Correlation of the apparent diffusion coefficiency values on diffusion-weighted imaging with prognostic factors for breast cancer","volume":"85","author":"Choi","year":"2012","journal-title":"Br J Radiol"},{"issue":"1063","key":"10.1016\/j.mri.2024.07.003_bb0210","doi-asserted-by":"crossref","DOI":"10.1259\/bjr.20160140","article-title":"Intravoxel incoherent motion diffusion-weighted MR imaging of breast cancer: association with histopathological features and subtypes","volume":"89","author":"Kim","year":"2016","journal-title":"Br J Radiol"},{"issue":"1","key":"10.1016\/j.mri.2024.07.003_bb0215","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1002\/jmri.26221","article-title":"Intravoxel incoherent motion diffusion-weighted MRI of invasive breast cancer: correlation with prognostic factors and kinetic features acquired with computer-aided diagnosis","volume":"49","author":"Song","year":"2019","journal-title":"J Magn Reson Imaging"},{"issue":"4","key":"10.1016\/j.mri.2024.07.003_bb0220","doi-asserted-by":"crossref","first-page":"1525","DOI":"10.1002\/mrm.26232","article-title":"Amide proton transfer (APT) imaging of brain tumors at 7 T:the role of tissue water T(1) -Relaxation properties","volume":"77","author":"Khlebnikov","year":"2017","journal-title":"Magn Reson Med"},{"issue":"1","key":"10.1016\/j.mri.2024.07.003_bb0225","first-page":"269","article-title":"Association between tumor size and immunohistochemical expression of Ki-67, p53 and BCL2 in a node-negative breast cancer population selected from a breast cancer screening program","volume":"34","author":"Gonz\u00c3lez-Sistal","year":"2014","journal-title":"Anticancer Res"},{"issue":"1","key":"10.1016\/j.mri.2024.07.003_bb0230","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1177\/172460080101600108","article-title":"Histological grade in breast cancer: association with clinical and biological features in a series of 229 patients","volume":"16","author":"Ruibal","year":"2001","journal-title":"Int J Biol Markers"}],"container-title":["Magnetic Resonance Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0730725X24001772?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0730725X24001772?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T23:59:54Z","timestamp":1725926394000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0730725X24001772"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11]]},"references-count":43,"alternative-id":["S0730725X24001772"],"URL":"https:\/\/doi.org\/10.1016\/j.mri.2024.07.003","relation":{},"ISSN":["0730-725X"],"issn-type":[{"value":"0730-725X","type":"print"}],"subject":[],"published":{"date-parts":[[2024,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Combination of IVIM with DCE-MRI for diagnostic and prognostic evaluation of breast cancer","name":"articletitle","label":"Article Title"},{"value":"Magnetic Resonance Imaging","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.mri.2024.07.003","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"110204"}}