Evidence map›Paper›PMID 37322312›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2023

Magnetic resonance imaging characteristics of pediatric pilocytic astrocytoma.

Valentina Opancina, Silvia Esposito, Francesco Di Meco, Eleonora Bruno, Marco Moscatelli, Ignazio G Vetrano, Luisa Chiapparini, Miljan Opancina, Mariangela Farinotti, Nebojsa Zdravkovic and 3 more

Erratum issuedAbstract read
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In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 6 institutions in 3 countries.

Valentina OpancinaDepartment of Neuroradiology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Silvia EspositoDevelopmental Neurology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Francesco Di MecoDepartment of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Eleonora BrunoDepartment of Neuroradiology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Marco MoscatelliDepartment of Neuroradiology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy. Marco.Moscatelli@istituto-besta.it.ORCID http://orcid.org/0000-0002-6745-474X
Ignazio G VetranoDepartment of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Luisa ChiappariniDepartment of Neuroradiology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Miljan OpancinaFaculty of Medicine, Military Medical Academy, University of Defense, Belgrade, Serbia.
Mariangela FarinottiNeuroepidemiology Unit, Foundation IRCCS Neurological Institute C. Besta, Milan, Italy.
Nebojsa ZdravkovicDepartment of Medical Statistics and Informatics, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.
Bianca PolloNeuropathology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Gianluca MarucciNeuropathology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Fabio M DoniselliDepartment of Neuroradiology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Fondazione IRCCS Istituto Neurologico Carlo Besta · ITUniversity of Kragujevac · RSUniversity of Milan · ITJohns Hopkins University · USMilitary Medical Academy · RSPoliclinico San Matteo Fondazione · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMRI has an important role in diagnosing pilocytic astrocytoma and post-surgical follow-up since the surgical approach has a leading role in its treatment. The purpose of our study is to provide an overview of the typical and atypical MRI findings in a series of pediatric patients with isolated-not NF1-related-pilocytic astrocytomas and to correlate specific MRI patterns with clinical variables.

methodsThis is a cross-sectional retrospective study providing the analysis of several clinical and neuroradiological findings from a cohort of pediatric pilocytic astrocytoma, starting from the data collected in the Fondazione IRCCS Istituto Neurologico Carlo Besta (FINCB) internal Cancer Registry during an 11-year time period (January 2008-January 2019).

resultsFifty-six patients were included in the study. Median age at diagnosis was 9.4 years; a slight female prevalence was noticed (m/f ratio 44.6%/55.4%). The majority of pPAs had well-defined contours: 51 (91.1%), 47 (88.7%) were hypointense on T1-wi, all of them were hyperintense on T2-wi, 46 (90.2%) were hyperintense on FLAIR, and 48 (85.7%) were heterogeneous on T1-wi and T2-wi sequences. We found positive correlation between pPAs location and age (r = 0.017), and small degree of connection between pPAs location and gender (Cramer's V = 0.268).

conclusionsWe presented typical and atypical pPAs MRI findings. Age and tumor location were positevely correlated, while degree of connection between gender and pPAs location was small. All of this may aid clinicians, most of all neuroradiologists, neurosurgeons, and neurologists in proper diagnoses and follow-up of these specific patient population.

Indexed as

AstrocytomaBrain NeoplasmsMagnetic Resonance ImagingAdolescentChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantMaleRetrospective StudiesImaging characteristicsMagnetic resonancePilocytic astrocytoma

Identifiers

PMID37322312
OpenAlexW4380739556

What OpenQuestion holds

Textmetadata
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.