Use of color Doppler ultrasound to differentiate Graves' disease from silent thyroiditis in patients treated at Fundación Valle del Lili in 2022-2024. [PDF]
Iriarte Durán MB +7 more
europepmc +1 more source
How to facilitate ultrasound examination of the fetal heart: the 5‐4‐3‐2‐1 method
ABSTRACT We propose a new standardized, systematic method of fetal cardiac screening, the step‐by‐step ‘5‐4‐3‐2‐1’ method. This method is based on understanding the cardiac structures through a process of navigating between the different recommended views during an abdominothoracic sweep, following a user‐friendly checklist to identify the main ...
M. Levy, B. Stos
wiley +1 more source
Optimal umbilical artery Doppler chart for predicting placenta‐mediated fetal growth restriction
ABSTRACT Objective To compare the predictive accuracy of selected umbilical artery (UA) pulsatility index (PI) reference charts for outcomes associated with placenta‐mediated fetal growth restriction (FGR). Methods This was a retrospective cohort study of individuals with a singleton pregnancy who underwent UA Doppler assessment ≥ 20 weeks' gestation ...
A. Vayenas +6 more
wiley +1 more source
Color Doppler ultrasound results of erectile dysfunction patients after an intracavernosal injection of prostaglandin E1: an analysis of 9,109 cases. [PDF]
Sun GH, Han YF, Dai YT, Shi L, Gao QQ.
europepmc +1 more source
ABSTRACT Objective To determine the risk of placental dysfunction associated with different ultrasound‐based phenotypes of impaired fetal growth in dichorionic twin pregnancies. Design Retrospective cohort study. Setting Single tertiary centre. Population Patients with dichorionic twin pregnancies delivered at ≥ 320/7 (2011–2023) (N = 753).
Ala Essalah +5 more
wiley +1 more source
Color Doppler Ultrasound Versus Magnetic Resonance Imaging for Diagnosing Giant Cell Arteritis: A Systematic Review and Meta-Analysis. [PDF]
El Yaman M +6 more
europepmc +1 more source
Phenotyping Preeclampsia Using Unsupervised Machine Learning: A Prospective Cohort Study
ABSTRACT Objective To explore clinically meaningful phenotypes of preeclampsia using unsupervised machine learning. Design Prospective cohort study. Setting BCNatal, a tertiary maternal‐foetal medicine centre (Barcelona, Spain). Population A total of 482 pregnant women diagnosed with preeclampsia between August 2013 and April 2024.
Ohad Houri +18 more
wiley +1 more source
Color flow Doppler (ultrasound)
David Carroll, Henry Knipe, Ian Bickle
openaire +1 more source

