{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T01:05:50Z","timestamp":1787879150938,"version":"build-2784847793"},"reference-count":34,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,1]],"date-time":"2024-06-01T00:00:00Z","timestamp":1717200000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"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":[[2024,6]]},"DOI":"10.1016\/j.mri.2024.03.028","type":"journal-article","created":{"date-parts":[[2024,3,19]],"date-time":"2024-03-19T16:37:22Z","timestamp":1710866242000},"page":"180-186","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":10,"special_numbering":"C","title":["Diffusion-derived vessel density (DDVD) computed from a simple diffusion MRI protocol as a biomarker of placental blood circulation in patients with placenta accreta spectrum disorders: A proof-of-concept study"],"prefix":"10.1016","volume":"109","author":[{"given":"Tao","family":"Lu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mou","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yishuang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meining","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ben-Heng","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Y\u00ec Xi\u00e1ng J.","family":"W\u00e1ng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"5","key":"10.1016\/j.mri.2024.03.028_bb0005","doi-asserted-by":"crossref","first-page":"534.e1","DOI":"10.1016\/j.ajog.2021.04.233","article-title":"Trends, characteristics, and outcomes of placenta accreta spectrum: a national study in the United States","volume":"225","author":"Matsuzaki","year":"2021","journal-title":"Am J Obstet Gynecol"},{"issue":"4","key":"10.1016\/j.mri.2024.03.028_bb0010","doi-asserted-by":"crossref","first-page":"337.e1","DOI":"10.1016\/j.ajog.2019.05.035","article-title":"Maternal outcomes in unexpected placenta accreta spectrum disorders: single center experience with a multidisciplinary team","volume":"221","author":"Erfani","year":"2019","journal-title":"Am J Obstet Gynecol"},{"issue":"6","key":"10.1016\/j.mri.2024.03.028_bb0015","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1016\/j.ajog.2019.02.054","article-title":"International Society for Abnormally Invasive Placenta (IS-AIP).Evidence-based guidelines for the management of abnormally invasive placenta: recommendations from the International Society for Abnormally Invasive Placenta","volume":"220","author":"Collins","year":"2019","journal-title":"Am J Obstet Gynecol"},{"issue":"6","key":"10.1016\/j.mri.2024.03.028_bb0020","doi-asserted-by":"crossref","first-page":"e259","DOI":"10.1097\/AOG.0000000000002983","article-title":"society for maternal-fetal medicine. Obstetric care consensus no. 7: Placenta accreta spectrum","volume":"132","author":"American College of Obstetricians and Gynecologists","year":"2018","journal-title":"Obstet Gynecol"},{"issue":"4","key":"10.1016\/j.mri.2024.03.028_bb0025","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1097\/FM9.0000000000000126","article-title":"Expert opinion on placenta accreta spectrum disorders in China","volume":"3","author":"Yan","year":"2021","journal-title":"Matern-Fetal Med"},{"issue":"1","key":"10.1016\/j.mri.2024.03.028_bb0030","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1186\/s12884-022-04644-9","article-title":"Monoexponential, biexponential and diffusion kurtosis MR imaging models: quantitative biomarkers in the diagnosis of placenta accreta spectrum disorders","volume":"22","author":"Lu","year":"2022","journal-title":"BMC Pregnancy Childbirth"},{"key":"10.1016\/j.mri.2024.03.028_bb0035","doi-asserted-by":"crossref","DOI":"10.1007\/s00404-023-06947-4","article-title":"Standard diffusion-weighted, diffusion kurtosis and intravoxel incoherent motion in differentiating invasive placentas","author":"Lu","year":"2023","journal-title":"Arch Gynecol Obstet"},{"issue":"1","key":"10.1016\/j.mri.2024.03.028_bb0040","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1186\/s13244-023-01448-z","article-title":"Differentiation of placenta percreta through MRI features and diffusion-weighted magnetic resonance imaging","volume":"14","author":"Li","year":"2023","journal-title":"Insights Imaging"},{"key":"10.1016\/j.mri.2024.03.028_bb0045","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.mri.2021.03.007","article-title":"Intravoxel incoherent motion MRI imaging analysis for diagnosis of placenta accreta spectrum disorders: a pilot feasibility study","volume":"80","author":"Le\u00f3n","year":"2021","journal-title":"Magn Reson Imaging"},{"issue":"6","key":"10.1016\/j.mri.2024.03.028_bb0050","doi-asserted-by":"crossref","first-page":"2879","DOI":"10.21037\/qims-21-187","article-title":"Mutual constraining of slow component and fast component measures: some observations in liver IVIM imaging","volume":"11","author":"W\u00e1ng","year":"2021","journal-title":"Quant Imaging Med Surg"},{"issue":"2","key":"10.1016\/j.mri.2024.03.028_bb0055","doi-asserted-by":"crossref","first-page":"127","DOI":"10.21037\/qims.2019.01.07","article-title":"Living tissue intravoxel incoherent motion (IVIM) diffusion MR analysis without b=0 image: an example for liver fibrosis evaluation","volume":"9","author":"Wang","year":"2019","journal-title":"Quant Imaging Med Surg"},{"key":"10.1016\/j.mri.2024.03.028_bb0060","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/j.mri.2021.09.013","article-title":"Usefulness of diffusion derived vessel density computed from a simplified IVIM imaging protocol: an experimental study with rat biliary duct blockage induced liver fibrosis","volume":"84","author":"Hu","year":"2021","journal-title":"Magn Reson Imaging"},{"key":"10.1016\/j.mri.2024.03.028_bb0065","doi-asserted-by":"crossref","first-page":"474","DOI":"10.1177\/2472630320915838","article-title":"Diffusion MRI derived per area vessel density as a surrogate biomarker for detecting viral hepatitis B-induced liver fibrosis: a proof-of-concept study","volume":"25","author":"Xiao","year":"2020","journal-title":"SLAS Technol"},{"issue":"3","key":"10.1016\/j.mri.2024.03.028_bb0070","doi-asserted-by":"crossref","DOI":"10.1002\/nbm.4449","article-title":"Age and gender dependence of liver diffusion parameters and the possibility that intravoxel incoherent motion modeling of the perfusion component is constrained by the diffusion component","volume":"34","author":"Huang","year":"2021","journal-title":"NMR Biomed"},{"issue":"8","key":"10.1016\/j.mri.2024.03.028_bb0075","doi-asserted-by":"crossref","first-page":"1658","DOI":"10.1161\/HYPERTENSIONAHA.122.20311","article-title":"Diffusion-derived vessel density computed from a simplified intravoxel incoherent motion imaging protocol in pregnancies complicated by early preeclampsia: a novel biomarker of placental dysfunction","volume":"80","author":"He","year":"2023","journal-title":"Hypertension"},{"key":"10.1016\/j.mri.2024.03.028_bb0080","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.slast.2022.01.002","article-title":"Spleen in viral Hepatitis-B liver fibrosis patients may have a reduced level of per unit microcirculation: non-invasive diffusion MRI evidence with a surrogate marker","volume":"27","author":"Zheng","year":"2022","journal-title":"SLAS Technol"},{"key":"10.1016\/j.mri.2024.03.028_bb0085","doi-asserted-by":"crossref","DOI":"10.1002\/nbm.5125","article-title":"Perfusion of hepatocellular carcinomas measured by diffusion-derived vessel density biomarker: higher hepatocellular carcinoma perfusion than earlier intravoxel incoherent motion reports","author":"Li","year":"2024","journal-title":"NMR Biomed"},{"key":"10.1016\/j.mri.2024.03.028_bb0090","doi-asserted-by":"crossref","DOI":"10.21037\/qims-24-164","article-title":"Potential diverse applications of diffusion-derived vessel density (DDVD) pixel-by-pixel mapping","author":"Yao","year":"2024","journal-title":"Quant Imaging Med Surg"},{"issue":"3","key":"10.1016\/j.mri.2024.03.028_bb0095","doi-asserted-by":"crossref","first-page":"736","DOI":"10.1148\/radiol.2433052020","article-title":"Advanced hepatocellular carcinoma: CT perfusion of liver and tumor tissue\u2013initial experience","volume":"243","author":"Sahani","year":"2007","journal-title":"Radiology"},{"issue":"2","key":"10.1016\/j.mri.2024.03.028_bb0100","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1002\/jmri.21429","article-title":"Characterization of hepatocellular carcinoma and colorectal liver metastasis by means of perfusion MRI","volume":"28","author":"Abdullah","year":"2008","journal-title":"J Magn Reson Imaging"},{"key":"10.1016\/j.mri.2024.03.028_bb0105","doi-asserted-by":"crossref","DOI":"10.21037\/qims-24-406","article-title":"Higher perfusion of rectum carcinoma relative to tumor free rectal wall: quantification by diffusion-derived vessel density (DDVD)","author":"Lu","year":"2024","journal-title":"Quant Imaging Med Surg"},{"key":"10.1016\/j.mri.2024.03.028_bb0110","doi-asserted-by":"crossref","first-page":"785","DOI":"10.1148\/radiol.2343040286","article-title":"Assessing tumor perfusion and treatment response in rectal cancer with multisection CT: initial observations","volume":"234","author":"Sahani","year":"2005","journal-title":"Radiology"},{"issue":"3","key":"10.1016\/j.mri.2024.03.028_bb0115","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/j.ajog.2019.01.233","article-title":"Prevalence and main outcomes of placenta accreta spectrum: a systematic review and meta-analysis","volume":"221","author":"Jauniaux","year":"2019","journal-title":"Am J Obstet Gynecol"},{"issue":"2","key":"10.1016\/j.mri.2024.03.028_bb0120","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1515\/jpm-2018-0149","article-title":"Emergency peripartal hysterectomy\u2014a single-center analysis of the last 13 years at a tertiary perinatal care unit","volume":"47","author":"de Gregorio","year":"2019","journal-title":"J Perinat Med"},{"issue":"2","key":"10.1016\/j.mri.2024.03.028_bb0125","doi-asserted-by":"crossref","DOI":"10.1002\/uog.7608","article-title":"Reproducibility of regional placental vascularity\/perfusion measurement using 3D power Doppler","volume":"36","author":"Lai","year":"2010","journal-title":"Ultrasound Obstet Gynecol"},{"issue":"10","key":"10.1016\/j.mri.2024.03.028_bb0130","doi-asserted-by":"crossref","first-page":"885","DOI":"10.1016\/j.placenta.2013.07.006","article-title":"Association of placental perfusion, as assessed by magnetic resonance imaging and uterine artery Doppler ultrasound, and its relationship to pregnancy outcome","volume":"34","author":"Derwig","year":"2013","journal-title":"Placenta"},{"issue":"1","key":"10.1016\/j.mri.2024.03.028_bb0135","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1002\/mrm.1910270116","article-title":"The capillary network: a link between IVIM and classical perfusion","volume":"27","author":"Le Bhian","year":"1992","journal-title":"Magn Reson Med"},{"key":"10.1016\/j.mri.2024.03.028_bb0140","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.placenta.2020.01.009","article-title":"Placental diffusion-weighted MRI in normal pregnancies and those complicated by placental dysfunction due to vascular malperfusion","volume":"91","author":"Kristi","year":"2020","journal-title":"Placenta"},{"key":"10.1016\/j.mri.2024.03.028_bb0145","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.placenta.2017.08.003","article-title":"Diffusion and perfusion quantified by magnetic resonance imaging are markers of human placenta development in normal pregnancy","volume":"58","author":"Capuani","year":"2017","journal-title":"Placenta"},{"issue":"6","key":"10.1016\/j.mri.2024.03.028_bb0150","doi-asserted-by":"crossref","first-page":"269","DOI":"10.21037\/atm-22-1037","article-title":"Standard diffusion-weighted, diffusion kurtosis and intravoxel incoherent motion MR imaging of the whole placenta: a pilot study of volumetric analysis","volume":"10","author":"Lu","year":"2022","journal-title":"Ann Transl Med"},{"key":"10.1016\/j.mri.2024.03.028_bb0155","doi-asserted-by":"crossref","first-page":"885","DOI":"10.1016\/j.placenta.2013.07.006","article-title":"Association of placental perfusion, as assessed by magneitc resonance imaging and uterine artery doppler ultrasound, and its relationship to pregnancy outcome","volume":"34","author":"Derwig","year":"2013","journal-title":"Placenta"},{"key":"10.1016\/j.mri.2024.03.028_bb0160","series-title":"Pathology of the human placenta","author":"Benirschke","year":"2012"},{"issue":"1","key":"10.1016\/j.mri.2024.03.028_bb0165","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.ajog.2017.05.067","article-title":"Placenta accreta spectrum: pathophysiology and evidence-based anatomy for prenatal ultrasound imaging","volume":"218","author":"Jauniaux","year":"2018","journal-title":"Am J Obstet Gynecol"},{"issue":"3","key":"10.1016\/j.mri.2024.03.028_bb0170","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1002\/ijgo.12407","article-title":"FIGO consensus guidelines on placenta accreta spectrum disorders: epidemiology","volume":"140","author":"Jauniaux","year":"2018","journal-title":"Int J Gynecol Obstet"}],"container-title":["Magnetic Resonance Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0730725X24000845?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0730725X24000845?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,5,14]],"date-time":"2024-05-14T18:08:48Z","timestamp":1715710128000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0730725X24000845"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6]]},"references-count":34,"alternative-id":["S0730725X24000845"],"URL":"https:\/\/doi.org\/10.1016\/j.mri.2024.03.028","relation":{},"ISSN":["0730-725X"],"issn-type":[{"value":"0730-725X","type":"print"}],"subject":[],"published":{"date-parts":[[2024,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Diffusion-derived vessel density (DDVD) computed from a simple diffusion MRI protocol as a biomarker of placental blood circulation in patients with placenta accreta spectrum disorders: A proof-of-concept study","name":"articletitle","label":"Article Title"},{"value":"Magnetic Resonance Imaging","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.mri.2024.03.028","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 reserved.","name":"copyright","label":"Copyright"}]}}