Evidence map›Paper›PMID 38632010›Full record

ReviewSeminars in fetal & neonatal medicine2024

Fetal neuroimaging applications for diagnosis and counseling of brain anomalies: Current practice and future diagnostic strategies.

Tomo Tarui, Alexis C Gimovsky, Neel Madan

Open access · greenAbstract readReview
In one paragraph

Review in Seminars in fetal & neonatal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
5.5field-weighted citation impact, top 5% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. 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

3 authors at 3 institutions in 1 country.

Tomo TaruiPediatric Neurology, Pediatrics, Hasbro Children's Hospital, The Warren Alpert Medical School of Brown University, Providence, RI, USA. Electronic address: tomo_tarui@brown.edu.
Alexis C GimovskyMaternal Fetal Medicine, Obstetrics and Gynecology, Women & Infants Hospital of Rhode Island, The Warren Alpert Medical School of Brown University, Providence, RI, USA.
Neel MadanNeuroradiology, Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Brown University · USHarvard University · USHasbro Children's Hospital · US

Funding

Prenatal diagnosis of brain malformations: Improving assessment of prognosisK23HD079605 · NICHD · TUFTS MEDICAL CENTER · PI TARUI, TOMO · 2015 to 2019
$767k
NICHD NIH HHS K23 HD079605
6 · The paper itself

Abstract

Advances in fetal brain neuroimaging, especially fetal neurosonography and brain magnetic resonance imaging (MRI), allow safe and accurate anatomical assessments of fetal brain structures that serve as a foundation for prenatal diagnosis and counseling regarding fetal brain anomalies. Fetal neurosonography strategically assesses fetal brain anomalies suspected by screening ultrasound. Fetal brain MRI has unique technological features that overcome the anatomical limits of smaller fetal brain size and the unpredictable variable of intrauterine motion artifact. Recent studies of fetal brain MRI provide evidence of improved diagnostic and prognostic accuracy, beginning with prenatal diagnosis. Despite technological advances over the last several decades, the combined use of different qualitative structural biomarkers has limitations in providing an accurate prognosis. Quantitative analyses of fetal brain MRIs offer measurable imaging biomarkers that will more accurately associate with clinical outcomes. First-trimester ultrasound opens new opportunities for risk assessment and fetal brain anomaly diagnosis at the earliest time in pregnancy. This review includes a case vignette to illustrate how fetal brain MRI results interpreted by the fetal neurologist can improve diagnostic perspectives. The strength and limitations of conventional ultrasound and fetal brain MRI will be compared with recent research advances in quantitative methods to better correlate fetal neuroimaging biomarkers of neuropathology to predict functional childhood deficits. Discussion of these fetal sonogram and brain MRI advances will highlight the need for further interdisciplinary collaboration using complementary skills to continue improving clinical decision-making following precision medicine principles.

Indexed as

BrainNeuroimagingPrenatal DiagnosisCounselingFemaleHumansMagnetic Resonance ImagingPregnancyUltrasonography, PrenatalA single-shot fast spin echo T2 techniqueFetal brain anomalyFetal brain MRINeurodevelopmental prognosisPrenatal diagnosis

Identifiers

PMID38632010
PMCPMC11156536
OpenAlexW4394675764

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.