186
Views
16
CrossRef citations to date
0
Altmetric
Original Article

Fetal biometry: a comparison between experienced sonographers and automated measurements

, MD, PhD, FACOG, FAIUM, , , , , , & show all
Pages 43-50 | Received 07 Jun 2008, Accepted 08 Aug 2008, Published online: 07 Jul 2009
 

Abstract

Objective. We compared the performance between sonographers and automated fetal biometry measurements (Auto OB) with respect to the following measurements: biparietal diameter (BPD), head circumference (HC), abdominal circumference (AC) and femur length (FL).

Methods. The first set of experiments involved assessing the performance of Auto OB relative to the five sonographers, using 240 images for each user. Each sonographer made measurements in 80 images per anatomy. The second set of experiments compared the performance of Auto OB with respect to the data generated by the five sonographers for inter-observer variability (i.e., sonographers and clinicians) using a set of 10 images per anatomy.

Results. Auto OB correlated well with manual measurements for BPD, HC, AC and FL (r > 0.98, p < 0.001 for all measurements). The errors produced by Auto OB for BPD is 1.46% (σ = 1.74%), where σ denotes standard deviation), for HC is 1.25% (σ = 1.34%), for AC is 3% (σ = 6.16%) and for FL is 3.52% (σ = 3.72%). In general, these errors represent deviations of less than 3 days for fetuses younger than 30 weeks, and less than 7 days for fetuses between 30 and 40 weeks of age.

Conclusion. The measurements produced by Auto OB are comparable to the measurements done by sonographers.

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
* 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.