Evidence map›Paper›PMID 41975823›Full record

ReviewDiagnostics (Basel, Switzerland)2026

Genetic Disorders Detectable by Fetal MRI: A Review.

Kwok Chun Wong, Tsz Ho Chow, Claudia Cheung, Joyce Pui Kwan Chan, Jonan Chun Yin Lee, Elaine Yee Ling Kan, Winnie Chiu Wing Chu

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Kwok Chun WongDepartment of Radiology, Hong Kong Children's Hospital, Kowloon Bay, Hong Kong.ORCID 0009-0009-4946-7748
Tsz Ho ChowDepartment of Imaging and Interventional Radiology, Prince of Wales Hospital, Shatin, Hong Kong.ORCID 0009-0003-4567-5562
Claudia CheungDepartment of Radiology, Hong Kong Children's Hospital, Kowloon Bay, Hong Kong.
Joyce Pui Kwan ChanDepartment of Radiology, Hong Kong Children's Hospital, Kowloon Bay, Hong Kong.ORCID 0000-0003-3207-5704
Jonan Chun Yin LeeDepartment of Diagnostic and Interventional Radiology, Queen Elizabeth Hospital, Jordan, Hong Kong.
Elaine Yee Ling KanDepartment of Radiology, Hong Kong Children's Hospital, Kowloon Bay, Hong Kong.ORCID 0000-0002-6839-6000
Winnie Chiu Wing ChuDepartment of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong.ORCID 0000-0003-4962-4132

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fetal MRI has been increasingly used in diagnosis and assessment of congenital anomalies and conditions by providing detailed structural information. However, such information is only part of the whole landscape of these genetic disorders. Given that genetic disorders are associated with significant morbidity and mortality in infants, multidisciplinary team management is essential for perinatal management and parental counseling. In the past two decades, there are advances in both fetal MRI and genetic testing for prenatal diagnosis of genetic disorders. This narrative review consolidates the current literature and aims to provide a systematic overview of fetal MRI applications in genetic disorders affecting the central nervous system, craniofacial structures, skeletal system, lungs, and urinary system. Understanding embryological and genetic basis as well as imaging phenotypes of genetic disorders are important in improving perinatal diagnosis and management.

Indexed as

chromosomal abnormalitiescongenital anomaliescongenital malformationsfetal MRIgenetic disordersgeneticsprenatal diagnosis

Identifiers

PMID41975823
PMCPMC13073893

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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.