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Automated analysis of fetal cardiac function using color tissue Doppler imaging.
Herling, L; Johnson, J; Ferm-Widlund, K; Bergholm, F; Lindgren, P; Sonesson, S-E; Acharya, G; Westgren, M.
Affiliation
  • Herling L; Department of Clinical Science, Intervention and Technology - CLINTEC, Karolinska Institutet, Stockholm, Sweden.
  • Johnson J; Center for Fetal Medicine, Department of Obstetrics and Gynecology, Karolinska University Hospital, Stockholm, Sweden.
  • Ferm-Widlund K; Center for Fetal Medicine, Department of Obstetrics and Gynecology, Karolinska University Hospital, Stockholm, Sweden.
  • Bergholm F; Department of Medical Engineering, School of Technology and Health, KTH Royal Institute of Technology, Stockholm, Sweden.
  • Lindgren P; Center for Fetal Medicine, Department of Obstetrics and Gynecology, Karolinska University Hospital, Stockholm, Sweden.
  • Sonesson SE; Department of Medical Engineering, School of Technology and Health, KTH Royal Institute of Technology, Stockholm, Sweden.
  • Acharya G; Center for Fetal Medicine, Department of Obstetrics and Gynecology, Karolinska University Hospital, Stockholm, Sweden.
  • Westgren M; Pediatric Cardiology Unit, Department of Women's and Children's Health, Karolinska University Hospital, Stockholm, Sweden.
Ultrasound Obstet Gynecol ; 52(5): 599-608, 2018 Nov.
Article in En | MEDLINE | ID: mdl-28715153
ABSTRACT

OBJECTIVE:

To evaluate the feasibility of automated analysis of fetal myocardial velocity recordings obtained by color tissue Doppler imaging (cTDI).

METHODS:

This was a prospective cross-sectional observational study of 107 singleton pregnancies ≥ 41 weeks of gestation. Myocardial velocity recordings were obtained by cTDI in a long-axis four-chamber view of the fetal heart. Regions of interest were placed in the septum and the right (RV) and left (LV) ventricular walls at the level of the atrioventricular plane. Peak myocardial velocities and mechanical cardiac time intervals were measured both manually and by an automated algorithm and agreement between the two methods was evaluated.

RESULTS:

In total, 321 myocardial velocity traces were analyzed using each method. It was possible to analyze all velocity traces obtained from the LV, RV and septal walls with the automated algorithm, and myocardial velocities and cardiac mechanical time intervals could be measured in 96% of all traces. The same results were obtained when the algorithm was run repeatedly. The myocardial velocities measured using the automated method correlated significantly with those measured manually. The agreement between methods was not consistent and some cTDI parameters had considerable bias and poor precision.

CONCLUSIONS:

Automated analysis of myocardial velocity recordings obtained by cTDI was feasible, suggesting that this technique could simplify and facilitate the use of cTDI in the evaluation of fetal cardiac function, both in research and in clinical practice. Copyright © 2017 ISUOG. Published by John Wiley & Sons Ltd.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ultrasonography, Prenatal / Echocardiography, Doppler, Color / Fetal Heart Type of study: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Male / Newborn / Pregnancy Language: En Journal: Ultrasound Obstet Gynecol Journal subject: DIAGNOSTICO POR IMAGEM / GINECOLOGIA / OBSTETRICIA Year: 2018 Document type: Article Affiliation country: Suecia

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ultrasonography, Prenatal / Echocardiography, Doppler, Color / Fetal Heart Type of study: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Male / Newborn / Pregnancy Language: En Journal: Ultrasound Obstet Gynecol Journal subject: DIAGNOSTICO POR IMAGEM / GINECOLOGIA / OBSTETRICIA Year: 2018 Document type: Article Affiliation country: Suecia
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