Evidence map›Paper›PMID 34012199›Full record

ArticleMedical archives (Sarajevo, Bosnia and Herzegovina)2021

Detecting Fetal Central Nervous System Anomalies Using Magnetic Resonance Imaging and Ultrasound.

Le Tuan Linh, Nguyen Minh Duc, Nguyen-Thi Hong Nhung, Thieu-Thi Tra My, Doan Tien Luu, Bui Van Lenh

Open access · greenAbstract readComparative Study
In one paragraph

Article in Medical archives (Sarajevo, Bosnia and Herzegovina), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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 2 institutions in 1 country.

Le Tuan LinhDepartment of Radiology, Hanoi Medical University, Hanoi, Vietnam.
Nguyen Minh DucDepartment of Radiology, Hanoi Medical University, Hanoi, Vietnam.
Nguyen-Thi Hong NhungDepartment of Radiology, Hanoi Medical University, Hanoi, Vietnam.
Thieu-Thi Tra MyDepartment of Radiology, Hanoi Medical University, Hanoi, Vietnam.
Doan Tien LuuDepartment of Radiology, Hanoi Medical University, Hanoi, Vietnam.
Bui Van LenhDepartment of Radiology, Hanoi Medical University, Hanoi, Vietnam.
Hanoi Medical University · VNChildren's Hospital 2 · VN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost fetal abnormalities can be detected on ultrasound, the evaluation of fetal CNS abnormalities can be limited by various factors, including obesity, polyhydramnios, multiple pregnancies, and increased cranial ossification during the third trimester.

objectiveThis study aimed to evaluate the ability to detect fetal central nervous system (CNS) anomalies using

methodsThis prospective study was approved by the institutional review board (Ref: 2968/QĐ-ĐHYHN dated 11 July 2019), and the requirement to obtain the informed consent of patients was waived. This study included 66 fetuses with diagnosed or suspected CNS abnormalities based on the results of a prenatal screening US performed at the antenatal diagnosis center of the Central Obstetrics and Gynecology Hospital. All pregnant women with a suspected diagnosis of abnormal fetal CNS on US underwent 1.5-Tesla iuMRI within 14 days of the US at Hanoi Medical University Hospital between June 2019 and June 2020. Cohen's kappa coefficient (κ) was used to determine the agreement between US and iuMRI findings.

resultsA total of 66 pregnant women were examined, including 66 fetuses, for which 79 abnormalities were detected by US and 98 abnormalities were detected by iuMRI. The average gestational age was 29 weeks and 6 days. The comparison of iuMRI and US findings revealed similar diagnoses for 71 abnormalities (67%) and different diagnoses for 35 abnormalities (33%). The level of agreement between US and iuMRI was almost perfect for ventriculomegaly and cystic lesions, with κ values 0.87 and 0.84, respectively. The level of agreement between US and iuMRI was the weakest for hemorrhage, with a κ value 0 (no agreement), and cortical abnormalities, with a κ value of 0.46 (weak agreement).

conclusionThe level of agreement between US and iuMRI diagnoses was almost perfect for the detection of ventriculomegaly and was weakest for the detection of hemorrhage and cortical abnormalities, which were abnormalities detected by iuMRI but not by ultrasound.

Indexed as

FemaleFetusHumansMagnetic Resonance ImagingMaleNervous System MalformationsPregnancyPregnancy Trimester, ThirdPrenatal DiagnosisProspective StudiesUltrasonography, PrenatalCentral nervous system abnormalitiesMRI fetusPrenatal diagnosis

Identifiers

PMID34012199
PMCPMC8116073
OpenAlexW3136715919

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Registered trials

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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.