Evidence map›Paper›PMID 37243812›Full record

ArticleChild's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery2023

Radiomorphologic profiles of nonsyndromic sagittal craniosynostosis.

Tymon Skadorwa, Olga Wierzbieniec, Kamila Sośnicka, Klaudia Podkowa

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Article in Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

Tymon SkadorwaDepartment of Pediatric Neurosurgery, Bogdanowicz Memorial Hospital for Children, 4/24 Nieklanska St, 03924, Warsaw, Poland. tskadorwa@wum.edu.pl.ORCID 0000-0002-3775-3968
Olga WierzbieniecDepartment of Descriptive and Clinical Anatomy, The Medical University of Warsaw, 5 Chalubinskiego St, 02004, Warsaw, Poland.ORCID 0000-0002-1926-6752
Kamila SośnickaDepartment of Descriptive and Clinical Anatomy, The Medical University of Warsaw, 5 Chalubinskiego St, 02004, Warsaw, Poland.ORCID 0009-0002-6764-8306
Klaudia PodkowaDepartment of Descriptive and Clinical Anatomy, The Medical University of Warsaw, 5 Chalubinskiego St, 02004, Warsaw, Poland.ORCID 0009-0008-1391-6065

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNumerous classification systems of nonsyndromic sagittal craniosynostosis (NSC) are applied but none has gained a wide acceptance, since each classification is focused on distinct aspects of cranial dysmorphology. The goal of this study was to depict the most common combinations of radiomorphologic characteristics of NSC and to separate groups where the patients were morphologically similar to one another and at the same time significantly different from others.

methodsThe study was conducted on anonymized thin-cut CT scans of 131 children with NSC aged 1-12 months (mean age 5.42 months). The type of cranial dysmorphology was assessed using four criteria: skull shape, pattern of sagittal suture fusion, morphologic features and cerebrospinal fluid (CSF) spaces alterations. After assigning the categories, an unsupervised k-modes clustering algorithm was applied to identify distinct patients clusters representing radiomorphologic profiles determined by investigated characteristics.

resultsCluster analysis revealed three distinct radiomorphologic profiles including the most common combinations of features. The profiles were not influenced by sex nor age but were significantly determined by skull shape (V = 0.58, P < 0.0001), morphologic features (V = 0.50, P < 0.0001) and pattern of sagittal suture fusion (V = 0.47, P < 0.0001). CSF alterations did not significantly correlate with the profiles (P = 0.3585).

conclusionNSC is a mosaic of radiologic and morphologic features. The internal diversity of NSC results in dissimilar groups of patients defined by unique combinations of radiomorphologic characteristics, from which the skull shape is the most differentiating factor. Radiomorphologic profiles support the idea of clinical trials targeted at more selective outcomes assessment.

Indexed as

CraniosynostosesChildHeadHumansInfantOutcome Assessment, Health CareSkullTomography, X-Ray ComputedChildrenCraniosynostosesInfantsScaphocephaly

Identifiers

PMID37243812
PMCPMC10643241

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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.