Evidence map›Paper›PMID 39198908›Full record

ArticleJournal of cardiothoracic surgery2024

MRI in the prenatal genetic diagnosis and intrauterine treatment of fetal congenital cystic adenoma of the lung.

Xiaolin Hou, Mei Yu, Ying Liu, Liwei Yan

Abstract read
In one paragraph

Article in Journal of cardiothoracic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xiaolin HouPrenatal Diagnosis Center, The Fourth Hospital of Shijiazhuang (The Obstetrics and Gynecology Hospital of Hebei Medical University), Shijiazhuang, Hebei, China.
Mei YuPrenatal Diagnosis Center, The Fourth Hospital of Shijiazhuang (The Obstetrics and Gynecology Hospital of Hebei Medical University), Shijiazhuang, Hebei, China.
Ying LiuObstetrical Department VIII, The Fourth Hospital of Shijiazhaung (The Obstetrics and Gynecology Hospital of Hebei Medical University), Shijiazhuang, Hebei, China. liuyingyisheng@163.com.
Liwei YanNeonatal Surgery, The Fourth Hospital of Shijiazhuang (The Obstetrics and Gynecology Hospital of Hebei Medical University), Shijiazhuang, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the value of magnetic resonance examination technique for prenatal genetic diagnosis and clinical intrauterine treatment of fetal congenital cystic adenoma (CCAM) of the lung.

methodsA retrospective analysis was conducted on 108 pregnant women admitted to a certain hospital from January 2016 to January 2022 for pre natal examination and consultation on eugenics. The selected pregnant women were aged 20-40 and had a gestational age of 17-36 weeks. Ultrasound and MRI examinations were performed on 108 pregnant women who met the inclusion criteria. Follow-up and investigation were conducted on the fetus after being diagnosed with CCAM. To analyze the results of prenatal genetic diagnosis, chromosome microarray analysis (CMA) was used to analyze samples with pathogenic Copy Number Variants (CNV) and identify pathogenic genes. Finally, the imaging diagnosis results obtained through statistical software were analyzed, and the correlation between pathogenic genes and CCAM, as well as the clinical application value of MRI in fetal intrauterine treatment was explored.

resultsAmong all cases, 68 fetuses were diagnosed with CCAM through ultrasound examination; 71 fetuses were diagnosed with CCAM through MRI examination. A total of 74 samples were confirmed as CCAM by autopsy and neonatal CT. The sensitivity, specificity, and accuracy of MRI in diagnosing fetal congenital CCAM were higher than those of ultrasound examination. The expression of CCAM was positively correlated with DUSP22, PRSS1, and SHOX, with all R values greater than 0.8. The clinical decision curve showed that when the probability of fetal CCAM was less than 0.03, the prenatal genetic diagnostic model of MRI was not applicable; But when the probability of fetal CCAM was higher than 0.05, the auxiliary intrauterine treatment effect that MRI diagnostic methods achieved was significantly better than conventional diagnosis.

conclusionMRI is significantly better than ultrasound in the diagnosis of CCAM, which can effectively improve the sensitivity of diagnosis and provide accurate information for the eugenics of pregnant women, and has high clinical application value.

Indexed as

Cystic Adenomatoid Malformation of Lung, CongenitalMagnetic Resonance ImagingPrenatal DiagnosisAdultFemaleGenetic TestingGestational AgeHumansLung NeoplasmsPregnancyRetrospective StudiesUltrasonography, PrenatalYoung AdultCCAMDiagnosisGeneticsMRI examinationTreatment

Identifiers

PMID39198908
PMCPMC11351084

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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.