Quality assessment of fetal middle cerebral and umbilical artery Doppler images using an objective scale within an international randomized controlled trial.
M Rial-CresteloJ Morales-RosellóE Hernández-AndradeFederico PrefumoD OrosD CafficiAlexandros SotiriadisE ZohavRogelio Cruz-MartínezM Parra-CorderoM LubuskyM KacerovskyFrancesc FiguerasPublished in: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology (2020)
The quality of MCA and UA Doppler ultrasound images can be evaluated reliably using an objective scale. Over 85% of images, which were obtained by operators from a broad range of clinical practices within a multicenter study, were rated as being of perfect or almost perfect quality. Intra- and inter-rater reliability of quality assessment was very good. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.
Keyphrases
- deep learning
- convolutional neural network
- randomized controlled trial
- optical coherence tomography
- primary care
- healthcare
- magnetic resonance imaging
- blood flow
- study protocol
- quality improvement
- subarachnoid hemorrhage
- machine learning
- clinical trial
- systematic review
- brain injury
- contrast enhanced ultrasound
- cerebral blood flow