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dc.contributor.authorAbaci Turk, Esra
dc.contributor.authorStout, Jeffrey N.
dc.contributor.authorHa, Christopher
dc.contributor.authorLuo, Jie
dc.contributor.authorGagoski, Borjan
dc.contributor.authorYetisir, Filiz
dc.contributor.authorGolland, Polina
dc.contributor.authorWald, Lawrence L.
dc.contributor.authorAdalsteinsson, Elfar
dc.contributor.authorRobinson, Julian N.
dc.contributor.authorRoberts, Drucilla J.
dc.contributor.authorBarth, William H.
dc.contributor.authorGrant, P. Ellen
dc.date.accessioned2021-01-26T15:02:08Z
dc.date.available2021-01-26T15:02:08Z
dc.date.issued2019-10
dc.identifier.issn0899-3459
dc.identifier.urihttps://hdl.handle.net/1721.1/129563
dc.description.abstractThe Human Placenta Project has focused attention on the need for noninvasive magnetic resonance imaging (MRI)-based techniques to diagnose and monitor placental function throughout pregnancy. The hope is that the management of placenta-related pathologies would be improved if physicians had more direct, real-time measures of placental health to guide clinical decision making. As oxygen alters signal intensity on MRI and oxygen transport is a key function of the placenta, many of the MRI methods under development are focused on quantifying oxygen transport or oxygen content of the placenta. For example, measurements from blood oxygen level-dependent imaging of the placenta during maternal hyperoxia correspond to outcomes in twin pregnancies, suggesting that some aspects of placental oxygen transport can be monitored by MRI. Additional methods are being developed to accurately quantify baseline placental oxygenation by MRI relaxometry. However, direct validation of placental MRI methods is challenging and therefore animal studies and ex vivo studies of human placentas are needed. Here we provide an overview of the current state of the art of oxygen transport and quantification with MRI. We suggest that as these techniques are being developed, increased focus be placed on ensuring they are robust and reliable across individuals and standardized to enable predictive diagnostic models to be generated from the data. The field is still several years away from establishing the clinical benefit of monitoring placental function in real time with MRI, but the promise of individual personalized diagnosis and monitoring of placental disease in real time continues to motivate this effort.en_US
dc.description.sponsorshipNational Institutes of Health (Grants NICHD U01HD087211, NIBIB R01EB01733)en_US
dc.language.isoen
dc.publisherOvid Technologies (Wolters Kluwer Health)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1097/rmr.0000000000000221en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcePMCen_US
dc.titlePlacental MRI: Developing Accurate Quantitative Measures of Oxygenationen_US
dc.title.alternativeDeveloping Accurate Quantitative Measures of Oxygenationen_US
dc.typeArticleen_US
dc.identifier.citationAbaci Turk, Esra et al. "Developing Accurate Quantitative Measures of Oxygenation." Topics in Magnetic Resonance Imaging 28, 5 (October 2019): 285-297. © 2019 Wolters Kluwer Health, Inc.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Scienceen_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.relation.journalTopics in Magnetic Resonance Imagingen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2020-11-20T17:40:33Z
dspace.orderedauthorsAbaci Turk, E; Stout, JN; Ha, C; Luo, J; Gagoski, B; Yetisir, F; Golland, P; Wald, LL; Adalsteinsson, E; Robinson, JN; Roberts, DJ; Barth, WH; Grant, PEen_US
dspace.date.submission2020-11-20T17:40:40Z
mit.journal.volume28en_US
mit.journal.issue5en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusComplete


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