Evidence map›Paper›PMID 27309391›Full record

ArticleFetal diagnosis and therapy2017

A Prospective Study of the Use of Fetal Intelligent Navigation Echocardiography (FINE) to Obtain Standard Fetal Echocardiography Views.

Paola Veronese, Gianna Bogana, Alessia Cerutti, Lami Yeo, Roberto Romero, Maria Teresa Gervasi

Open access · greenAbstract read
In one paragraph

Article in Fetal diagnosis and therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Observational
  3. Artificial intelligence in fetal echocardiography: Recent advances and future prospects.International journal of cardiology. Heart & vasculature · 2024
    Review
  4. Observational
  5. Article
  6. Article
  7. Article
  8. 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
  9. Review
  10. Article
  11. Article
  12. 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
  13. 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
  14. Review
  15. 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
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

6 authors at 3 institutions in 2 countries.

Paola VeroneseUnit of Maternal Fetal Medicine, Department of Women's and Children's Health, Azienda Ospedaliera di Padova (AOP), Padua, Italy.
Gianna Bogana
Alessia Cerutti
Lami Yeo
Roberto Romero
Maria Teresa Gervasi
Society for Maternal-Fetal Medicine · USAzienda Ospedaliera di Padova · ITNational Institutes of Health · US

Funding

The Role Of Subclinical Infection And Cytokines In Preterm ParturitionZIAHD002400 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI ROMERO, ROBERTO · 2009 to 2025
$254.4M
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 HD002401
6 · The paper itself

Abstract

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

methodsIn this prospective cohort study of patients with normal fetal hearts (19-30 gestational weeks), one or more STIC volume datasets were obtained of the apical four-chamber view. Each STIC volume successfully obtained was evaluated by STICLoop™ to determine its appropriateness before applying the FINE method. Visualization rates for standard fetal echocardiography views using diagnostic planes and/or Virtual Intelligent Sonographer Assistance (VIS-Assistance®) were calculated.

resultsOne or more STIC volumes (total n = 463) were obtained from 246 patients. A single STIC volume per patient was analyzed using the FINE method. In normal cases, FINE was able to generate nine fetal echocardiography views using: (1) diagnostic planes in 76-100% of the cases, (2) VIS-Assistance® in 96-100% of the cases, and (3) a combination of diagnostic planes and/or VIS-Assistance® in 96-100% of the cases.

conclusionFINE applied to STIC volumes can successfully generate nine standard fetal echocardiography views in 96-100% of cases in the 2nd and 3rd trimesters. This suggests that the technology can be used as a method of screening for congenital heart disease.

Indexed as

Echocardiography, Four-DimensionalFemaleFetal HeartHeart Defects, CongenitalHumansPregnancyPregnancy Trimester, SecondPregnancy Trimester, ThirdProspective StudiesUltrasonography, Prenatal

Identifiers

PMID27309391
PMCPMC5164869
OpenAlexW2427151028

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.