Evidence map›Paper›PMID 31592995›Full record

ReviewTopics in magnetic resonance imaging : TMRI2019

Placental MRI: Developing Accurate Quantitative Measures of Oxygenation.

Esra Abaci Turk, Jeffrey N Stout, Christopher Ha, Jie Luo, Borjan Gagoski, Filiz Yetisir, Polina Golland, Lawrence L Wald, Elfar Adalsteinsson, Julian N Robinson and 3 more

Open access · greenAbstract readReview
In one paragraph

Review in Topics in magnetic resonance imaging : TMRI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. AnyStar: Domain randomized universal star-convex 3D instance segmentation.IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision · 2024
    Article
  7. Review
  8. Shape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Series.The journal of machine learning for biomedical imaging · 2023
    Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Improving Development of Drug Treatments for Pregnant Women and the Fetus.Therapeutic innovation & regulatory science · 2022
    Review
  14. Article
  15. Fetal Neuroimaging Updates.Magnetic resonance imaging clinics of North America · 2021
    Review
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 6 institutions in 2 countries.

Esra Abaci TurkFetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA.
Jeffrey N StoutFetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA.
Christopher HaFetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA.
Jie LuoSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Borjan GagoskiFetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA.
Filiz YetisirFetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA.
Polina GollandComputer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology, Cambridge, MA.
Lawrence L WaldAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA.
Elfar AdalsteinssonDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA.
Julian N RobinsonDepartment of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA.
Drucilla J RobertsDepartment of Pathology, Massachusetts General Hospital, Boston, MA.
William H BarthMaternal-Fetal Medicine, Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA.
P Ellen GrantFetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA.
Boston Children's Hospital · USMassachusetts Institute of Technology · USAthinoula A. Martinos Center for Biomedical Imaging · USBrigham and Women's Hospital · USMassachusetts General Hospital · USShanghai Jiao Tong University · CN

Funding

Training and DisseminationP41EB015902 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI KIKINIS, RON, WESTIN, CARL-FREDRIK · 2012 to 2022
$20.9M
Advanced Fetal ImagingR01EB017337 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI ADALSTEINSSON, ELFAR, GRANT, PATRICIA ELLEN · 2014 to 2018
$6.2M
Noninvasive Realtime Assessment of Placental Structure and Function with Novel MR Imaging MethodsU01HD087211 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI GRANT, PATRICIA ELLEN, WALD, LAWRENCE L · 2015 to 2015
$4.9M
NIBIB NIH HHS P41 EB015902NIBIB NIH HHS R01 EB017337NICHD NIH HHS U01 HD087211
6 · The paper itself

Abstract

The 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.

Indexed as

AnimalsFemaleHumansHyperoxiaMagnetic Resonance ImagingOxygenPlacentaPregnancyOxygen

Identifiers

PMID31592995
PMCPMC7323862
OpenAlexW2980160810

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.