Evaluation of automated tool for two-dimensional fetal biometry.
Objective: To evaluate whether an automated tool can recognize a structure of interest and measure fetal head circumference (HC), abdominal circumference (AC) and femur length (FL) on frozen two-dimensional ultrasound images.Methods: Ultrasound examinations were performed in 100 singleton pregnancie...
| Publicado en: | Ultrasound in Obstetrics & Gynecology Vol. 54; no. 5; pp. 650 - 655 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Nov2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=139502459&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 139502459 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09607692 F0Y jtl: Ultrasound in Obstetrics & Gynecology issn: 09607692 maglogo: Y pubinfo: dt: Nov2019 vid: 54 iid: 5 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 139502459 139502459 NLM30478919 139502459 10.1002/uog.20185 NLM30478919 139502459 ppf: 650 ppct: 5 formats: tig: atl: Evaluation of automated tool for two-dimensional fetal biometry. aug: au: Salim, I. Cavallaro, A. Ciofolo‐Veit, C. Rouet, L. Raynaud, C. Mory, B. Collet Billon, A. Harrison, G. Roundhill, D. Papageorghiou, A. T. Ciofolo-Veit, C affil: Nuffield Department of Obstetrics and Gynaecology, University of Oxford, Oxford UK sug: subj: Fetal Development Biometrics Equipment and Supplies Head Embryology Adult Adolescence Pregnancy Gestational Age Femur Embryology Head Algorithms Female Automation Femur Waist Circumference Ultrasonography, Prenatal Methods Young Adult Funding Source Human Fetus Adult: 19-44 years Adolescent: 13-18 years Fetus, conception to birth Female ab: Objective: To evaluate whether an automated tool can recognize a structure of interest and measure fetal head circumference (HC), abdominal circumference (AC) and femur length (FL) on frozen two-dimensional ultrasound images.Methods: Ultrasound examinations were performed in 100 singleton pregnancies between 20 and 40 weeks of gestation, ensuring an even distribution throughout gestational age. In each pregnancy, three standard biometric variables (HC, AC, FL) were measured each in three different images obtained for this purpose (i.e. nine independent image acquisitions). An algorithm (Philips Research) was used to detect the structure of interest and automatically place calipers for measurement. Caliper placement was assessed in two ways. First, subjective clinical assessment was performed to determine whether the caliper placement was correct, and caliper position was classified as 'acceptable for clinical use', 'minor adjustment required' or 'major adjustment required'. Second, the resulting automatic measurements were compared with manual measurements, taken in real time. Mean difference errors were calculated and expressed as percentages to correct for fetal growth with advancing gestation.Results: After exclusion of one pregnancy due to missing images, a total of 891 images (297 for each biometric variable) from 99 pregnancies were analyzed. The algorithm failed to place calipers for the AC in nine images, whereas there were no failures in caliper placement for measurement of HC and FL. On subjective quality assessment of automatic caliper placement, in 475 (53.3%) images position of the calipers was judged to be clinically acceptable and did not require any adjustment, while in 317 (35.6%) and 90 images (10.1%) minor and major adjustments were required, respectively. The mean error between manual and automatic measurement of HC was -0.21 cm corresponding to a percentage error of -0.81% with 95% limits of agreement (LOA) between -3.73% and 2.12%. For AC and FL measurements, the mean error was, respectively, 0.72 cm (percentage error, 2.40%) with LOA between -9.48% and 14.27%, and 0.21 cm (percentage error, 3.76%) with LOA between -8.38% and 15.91%.Conclusions: The automated tool identified correctly the biometric variable of interest in 99% of frozen images. The resulting measurements had a high degree of accuracy and compared well with previously published manual-to-manual agreement. The measurements exhibited bias, with the automated tool underestimating biometry; this could be overcome by further improvements in the algorithm. Nevertheless, adjustable calipers for manual correction remains a requirement. Copyright © 2018 ISUOG. Published by John Wiley & Sons Ltd. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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