330
Views
3
CrossRef citations to date
0
Altmetric
Research Article

Fetal Genetic Diagnosis by Chorionic Villus Sampling: Evaluation of the Five-Year Experience from a Single Center

, , , , , , , & show all
Pages 281-289 | Received 24 Oct 2019, Accepted 02 Dec 2019, Published online: 03 Jan 2020
 

Abstract

Objective

We summarized our five-year chorionic villus sampling (CVS) experience with indications, detected chromosomal abnormalities and pregnancy outcomes. Materials and Methods: This retrospective study examined 552 patients underwent CVS for prenatal diagnosis between 2014 and 2018. Results: The most frequent patients undergoing CVS indications were abnormal aneuploidy screening results, increased nuchal translucency, and cystic hygroma/edema. Of 552 CVS, 385 were normal, 141 abnormal. Eight were contaminated with maternal cells, 4 were mosaics, in 12 the culture failed, and in 2 there was inadequate sampling. The most frequent chromosomal abnormalities were trisomy 21, trisomy 18 and 45,X. Of 246 followed pregnancies, there were 165 live-births (67,1%), 58 pregnancy terminations (23,6%), and 23 pregnancy losses (9,3%). There were 5 procedure-related losses (2%), 3 of which were chromosomally normal. Conclusion: Although significant advances have been made in noninvasive methods such as NIPT, CVS is still a reliable technique for cytogenetic diagnosis in early gestation.

Disclosure statement

The authors declare that they have no conflict of interest.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 748.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.