Evidence map›Paper›PMID 26278116›Full record

ArticleUltrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology2016

Prospective evaluation of the fetal heart using Fetal Intelligent Navigation Echocardiography (FINE).

M Garcia, L Yeo, R Romero, D Haggerty, I Giardina, S S Hassan, T Chaiworapongsa, E Hernandez-Andrade

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.7field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 42 citations in OpenAlex.

  1. Review
  2. Article
  3. Artificial intelligence in fetal echocardiography: Recent advances and future prospects.International journal of cardiology. Heart & vasculature · 2024
    Review
  4. Review
  5. Observational
  6. Review
  7. Article
  8. Article
  9. Article
  10. New and advanced features of fetal intelligent navigation echocardiography (FINE) or 5D heart.The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians · 2022
    Article
  11. Article
  12. Article
  13. Prenatal diagnosis of tetralogy of Fallot with pulmonary atresia using: Fetal Intelligent Navigation Echocardiography (FINE).The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians · 2019
    Article
  14. Article
  15. Fetal Intelligent Navigation Echocardiography (FINE) Detects 98% of Congenital Heart Disease.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2018
    Article
  16. Review
  17. Color and power Doppler combined with Fetal Intelligent Navigation Echocardiography (FINE) to evaluate the fetal heart.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2017
    Article
  18. Prenatal diagnosis of hypoplastic left heart and coarctation of the aorta with color Doppler FINE.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2017
    Article
  19. Article
  20. How to Acquire Cardiac Volumes for Sonographic Examination of the Fetal Heart: Part 1.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2016
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 2 countries.

M GarciaPerinatology Research Branch, Program for Perinatal Research and Obstetrics, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Bethesda, MD.
L YeoPerinatology Research Branch, Program for Perinatal Research and Obstetrics, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Bethesda, MD.
R RomeroPerinatology Research Branch, Program for Perinatal Research and Obstetrics, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Bethesda, MD.
D HaggertyPerinatology Research Branch, Program for Perinatal Research and Obstetrics, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Bethesda, MD.
I GiardinaDepartment of Obstetrics and Gynecology, University of Perugia, Perugia, Italy.
S S HassanPerinatology Research Branch, Program for Perinatal Research and Obstetrics, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Bethesda, MD.
T ChaiworapongsaPerinatology Research Branch, Program for Perinatal Research and Obstetrics, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Bethesda, MD.
E Hernandez-AndradePerinatology Research Branch, Program for Perinatal Research and Obstetrics, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Bethesda, MD.
Detroit Medical Center · USHutzel Women's Hospital · USDetroit R&D (United States) · USEunice Kennedy Shriver National Institute of Child Health and Human Development · USUniversity of Michigan–Ann Arbor · USUniversity of Perugia · IT

Funding

Prenatal Diagnosis Of Congenital AnomaliesZIAHD002401 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI ROMERO, ROBERTO · 2009 to 2025
$81.1M
Intramural NIH HHS ZIA HD002401NICHD NIH HHS HHSN275201300006C
6 · The paper itself

Abstract

objectiveTo evaluate prospectively the performance of Fetal Intelligent Navigation Echocardiography (FINE) applied to spatiotemporal image correlation (STIC) volume datasets of the normal fetal heart.

methodsIn all women between 19 and 30 weeks' gestation with a normal fetal heart, an attempt was made to acquire STIC volume datasets of the apical four-chamber view if the following criteria were met: (1) fetal spine located between 5- and 7-o'clock positions; (2) minimal or absent shadowing (including a clearly visible transverse aortic arch); (3) absence of fetal breathing, hiccups, or movement; and (4) adequate image quality. Each STIC volume successfully acquired was evaluated by STICLoop™ to determine its appropriateness before applying the FINE method. Visualization rates of fetal echocardiography views using diagnostic planes and/or Virtual Intelligent Sonographer Assistance (VIS-Assistance®) were calculated.

resultsOne or more STIC volumes (365 in total) were obtained successfully in 72.5% (150/207) of women undergoing ultrasound examination. Of the 365 volumes evaluated by STICLoop, 351 (96.2%) were considered to be appropriate. From the 351 STIC volumes, only one STIC volume per patient (n = 150) was analyzed using the FINE method, and consequently nine fetal echocardiography views were generated in 76-100% of cases using diagnostic planes only, in 98-100% of cases using VIS-Assistance only, and in 98-100% of cases when using a combination of diagnostic planes and/or VIS-Assistance.

conclusionsIn women between 19 and 30 weeks' gestation with a normal fetal heart undergoing prospective sonographic examination, STIC volumes can be obtained successfully in 72.5% of cases. The FINE method can be applied to generate nine standard fetal echocardiography views in 98-100% of these cases using a combination of diagnostic planes and/or VIS-Assistance. This suggests that FINE could be implemented in fetal cardiac screening programs. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.

Indexed as

AdultCardiac VolumeEchocardiographyFemaleFetal HeartGestational AgeHumansImage Processing, Computer-AssistedPregnancyProspective StudiesUltrasonography, Prenatal4Dcardiacfetal heartprenatal diagnosisspatiotemporal image correlationSTICultrasoundVirtual Intelligent Sonographer Assistance; VIS-Assistance®

Identifiers

PMID26278116
PMCPMC5898803
OpenAlexW1678125117

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.