Prospective First‐Trimester Ultrasound Imaging of Low Implantation and Placenta Accreta Spectrum

2020 ◽  
Vol 39 (10) ◽  
pp. 1907-1915 ◽  
Author(s):  
Sarah K. Happe ◽  
Martha W. F. Rac ◽  
Elysia Moschos ◽  
C. Edward Wells ◽  
Jodi S. Dashe ◽  
...  
2020 ◽  
Vol 222 (1) ◽  
pp. S86
Author(s):  
Trevor Quiner ◽  
Maria Ramirez-Cruz ◽  
Margaret Magill-Collins ◽  
Elizabeth Garchar ◽  
Conrad Chao ◽  
...  

2018 ◽  
Vol 218 (1) ◽  
pp. S283-S284
Author(s):  
Matthew P. Romagano ◽  
Meredith Rochon ◽  
William E. Scorza ◽  
Orion Rust ◽  
Emma Qureshey ◽  
...  

Author(s):  
Casey S. Yule ◽  
Matthew A. Lewis ◽  
Quyen N. Do ◽  
Yin Xi ◽  
Sarah K. Happe ◽  
...  

2020 ◽  
Vol 33 (6) ◽  
pp. 748-751
Author(s):  
Ozlem Dural ◽  
Inci Sema Tas ◽  
Funda Gungor Ugurlucan ◽  
Cenk Yasa ◽  
Ipek Evruke ◽  
...  

Diagnostics ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1511
Author(s):  
Tuangsit Wataganara ◽  
Thanapa Rekhawasin ◽  
Nalat Sompagdee ◽  
Sommai Viboonchart ◽  
Nisarat Phithakwatchara ◽  
...  

Realistic reconstruction of angioarchitecture within the morphological landmark with three-dimensional sonoangiography (three-dimensional power Doppler; 3D PD) may augment standard prenatal ultrasound and Doppler assessments. This study aimed to (a) present a technical overview, (b) determine additional advantages, (c) identify current challenges, and (d) predict trajectories of 3D PD for prenatal assessments. PubMed and Scopus databases for the last decade were searched. Although 307 publications addressed our objectives, their heterogeneity was too broad for statistical analyses. Important findings are therefore presented in descriptive format and supplemented with the authors’ 3D PD images. Acquisition, analysis, and display techniques need to be personalized to improve the quality of flow-volume data. While 3D PD indices of the first-trimester placenta may improve the prediction of preeclampsia, research is needed to standardize the measurement protocol. In highly experienced hands, the unique 3D PD findings improve the diagnostic accuracy of placenta accreta spectrum. A lack of quality assurance is the central challenge to incorporating 3D PD in prenatal care. Machine learning may broaden clinical translations of prenatal 3D PD. Due to its operator dependency, 3D PD has low reproducibility. Until standardization and quality assurance protocols are established, its use as a stand-alone clinical or research tool cannot be recommended.


2020 ◽  
Vol 222 (1) ◽  
pp. S105-S106
Author(s):  
Casey S. Yule ◽  
Matthew A. Lewis ◽  
Quyen N. Do ◽  
Yin Xi ◽  
Sarah K. Happe ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document