Fetal fraction-based risk algorithm for non-invasive prenatal testing: screening for trisomies 13 and 18 and triploidy in women with low cell-free fetal DNA.

T McKannaA RyanS KrinshpunS KarehtK MarchandC GrabaritsM AliA McElhenyK GardinerK LeChienM HsuD SaltzmanM StosicK MartinPeter Benn

Published in: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology (2018)

For pregnancies with a FF too low to receive a result on standard NIPT, the FFBR algorithm identified a subset of cases at increased risk for trisomy 13, trisomy 18 or triploidy. For the remainder of cases, the risk of a fetal chromosomal abnormality was unchanged from that expected based on MA and GA. © 2018 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of the International Society of Ultrasound in Obstetrics and Gynecology.

Keyphrases

cell free
circulating tumor
magnetic resonance imaging
machine learning
deep learning
pet ct
pregnant women
neural network
preterm birth
randomized controlled trial
pregnancy outcomes
nucleic acid