Evidence map›Paper›PMID 38201471›Full record

ArticleCancers2023

Congenital Tumors-Magnetic Resonance Imaging Findings with Focus on Rare Tumors.

Piotr Kwasniewicz, Julia Wieczorek-Pastusiak, Anna Romaniuk-Doroszewska, Monika Bekiesinska-Figatowska

Abstract read
In one paragraph

Article in Cancers, 2023. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Fetal cardiac masses.Pediatric radiology · 2025
    Review
  4. 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

4 authors.

Piotr KwasniewiczDepartment of Diagnostic Imaging, Institute of Mother and Child, 01-211 Warsaw, Poland.ORCID 0000-0002-9773-948X
Julia Wieczorek-PastusiakDepartment of Diagnostic Imaging, Institute of Mother and Child, 01-211 Warsaw, Poland.
Anna Romaniuk-DoroszewskaDepartment of Diagnostic Imaging, Institute of Mother and Child, 01-211 Warsaw, Poland.
Monika Bekiesinska-FigatowskaDepartment of Diagnostic Imaging, Institute of Mother and Child, 01-211 Warsaw, Poland.ORCID 0000-0003-1787-3425

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congenital tumors are rare and, owing to this rarity, there is limited information on many of them. A total of 839 fetal and postnatal MRI studies performed in the first 3 months of life were retrospectively reviewed. They were performed with the use of 1.5 T scanners. Seventy-six tumors were diagnosed based on fetal MRI between 20 and 37 gestational weeks, and 27 were found after birth, from 1 day of age to 3 months of life. Teratomas were the most common tumors in our dataset, mainly in the sacrococcygeal region (SCT), followed by cardiac rhabdomyomas and subependymal giant cell astrocytomas (SEGA) associated with TSC, and neuroblastomas. The group of less common tumors consisted of infantile fibrosarcomas, malignant rhabdoid tumors, mesoblastic nephromas and Wilms tumor, craniopharyngiomas, brain stem gliomas, desmoplastic infantile astrocytoma, choroid plexus carcinoma, glioblastoma, hemangiopericytoma, rhabdomyosarcoma, melanoma, mesenchymal hamartomas of the chest wall and the liver, and juvenile xanthogranuloma, with special consideration of blue rubber bleb nevus syndrome. MRI plays a significant role in further and better characterization of congenital tumors, leading to a correct diagnosis in many cases, which is crucial for pregnancy and neonatal management and psychological preparation of the parents. No diagnosis is impossible and can be absolutely excluded.

Indexed as

congenital tumorfetusinfantmagnetic resonance imaging (MRI)

Identifiers

PMID38201471
PMCPMC10778132

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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.