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41 results for “Craniosynostosis”
A statistical shape model of craniosynostosis patients and 100 model instances of each pathology
<p>This dataset is part of the publication "A statistical shape model for radiation-free assessment and classification of craniosynostosis" (M. Schaufelberger et al.). It includes several 3D head models constructed of surface scans of craniosynostosis patients: The full shape model, a texture model, and submodels of four classes: sagittal suture fusion (scaphocephaly), metopic suture fusion (trigonocephaly), coronal suture fusion (brachycephaly and anterior plagiocephaly), and a control model (normocephaly and positional plagiocephaly). Each of the models is available in an .h5 file. We also include 100 mesh instances as a .ply file in a zip file. The model's statistical information can be incorporated into the [Liverpool-York child head model (Dai et al. 2019)](https://doi.org/10.1007/s11263-019-01260-7) as it uses the same vertex order and IDs (starting from index 0). If you want to synthesize new models, take a look a the demo.py file. For information about the hierarchy in the h5-file, take a look at documentation.md.</p>
The Efficacy and Population Pharmacokinetics of Tranexamic Acid for Craniosynostosis Surgery
ClinicalTrials.gov study NCT02188576. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Understanding families' experiences following a diagnosis of non-syndromic Craniosynostosis: A qualitative study
<p>Objectives: Craniosynostosis, a congenital anomaly producing an abnormal cranial morphology, is typically diagnosed and surgically corrected within the first year of life. Given the young age of this patient population at the time of diagnosis, it is reasonable to expect this experience to be a very significant and stressful ordeal for patient families. Despite this, there is little research exploring the impact that craniosynostosis has on families, especially in the early stages. In this study, the authors aimed to qualitatively examine the psychosocial experience of families with a child diagnosed with craniosynostosis.</p> <p>Design: Qualitative study. Setting: Tertiary care paediatric health centre.</p> <p>Participants: Parents of children newly diagnosed with single-suture, non-syndromic craniosynostosis Intervention: Semistructured interviews regarding parental experience with the initial diagnosis, their decision on corrective surgery for their child, the operative experience, the impact of craniosynostosis on the family and the challenges they encountered throughout their journey.</p> <p>Primary and Secondary Outcome Measures: Interpretive phenomenological analysis, a type of qualitative analysis that provides an in-depth account of participant's experiences and their meanings, was used to analyze the interview data.</p> <p>Results: Over a four-year period, twelve families meeting eligibility criteria completed the study. Three main themes (6 subthemes) emerged from the pre-operative interviews: frustration with diagnostic delays (parental intuition and advocacy, hope for improved awareness), understanding what to expect (healthcare supports, interest in connecting with other families), and justifying the need for corrective surgery (influence of the surgeon, struggle with cosmetic indications). Two main themes (4 subthemes) were drawn from the post-operative interviews: pushing through fear (the role of healthcare professionals, transition home) and relief (reduction in parental anxiety, cosmetic improvements).</p> <p>Conclusions: Overall, the diagnosis of craniosynostosis has a profound impact on families, leading them to face many struggles throughout their journey. A better understanding of these experiences will help to inform future practice, with a hope to improve this experience for other families moving forward.</p>
GAN, PCA, and Statistical Shape Models for the Creation of Synthetic Craniosynostosis Distance Maps
<p>This dataset is part of the publication "Classification of Craniosynostosis Trained Only On Synthetic Data Using GANs, PCA, and Statistical Shape Models".</p> <p><strong>dataset28.zip</strong> includes 2D distance maps constructed of surface scans of craniosynostosis patients: sagittal suture fusion (scaphocephaly), metopic suture fusion (trigonocephaly), coronal suture fusion (brachycephaly and anterior plagiocephaly), and a control model (normocephaly and positional plagiocephaly).<br> <br> <strong>synthetic_1000.zip</strong> contains are random 1000 samples per class created from each individual synthetic data source (GAN, PCA, statistical shape model).<br> <br> This repository contains only the images. To synthesize your own data, please use the github repository.</p>
Hemodynamic Monitoring During Craniosynostosis Surgery: Comparing Traditional and Newer Technology Monitors (CRASY-PRAM)
ClinicalTrials.gov study NCT06263075. IPD Sharing: NO. Countries: 1. Publications: 6.
Measuring of the Duration of Action of Different Doses of Rocuronium-induced Neuromuscular Block in Infants During Surgical Treatment of Craniosynostosis
ClinicalTrials.gov study NCT07080528. IPD Sharing: NO. Countries: 1. Publications: 7.
Network Of Clinical Research Studies On Craniosynostosis, Skull Malformations With Premature Fusion Of Skull Bones
ClinicalTrials.gov study NCT03025763. IPD Sharing: YES. Countries: 5. Publications: 47.
Endoscopic Strip Craniectomy for Treatment of Sagittal Craniosynostosis
ClinicalTrials.gov study NCT04721769. IPD Sharing: NO. Countries: 1. Publications: 3.
Influence of General Anesthesia on the Dynamic Changes in Brain Damage Markers During and After Craniosynostosis Operations in Infancy
ClinicalTrials.gov study NCT05911139. IPD Sharing: Not stated. Countries: 1. Publications: 8.
Clinical Study of Muenke Syndrome (FGFR3-Related Craniosynostosis)
ClinicalTrials.gov study NCT00106977. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Irradiated Blood Versus Non Irradiated Blood Transfusions in Craniosynostosis Repair
ClinicalTrials.gov study NCT02483702. IPD Sharing: NO. Countries: 1. Publications: 9.
Data from: Understanding families' experiences following a diagnosis of non-syndromic Craniosynostosis: A qualitative study
Open the record for dataset details and reuse information.
Endoscopic Treatment for Isolated, Single Suture Craniosynostosis
ClinicalTrials.gov study NCT00769847. IPD Sharing: Not stated. Countries: 0. Publications: 5.
Genetic Analysis of Craniosynostosis, Philadelphia Type
ClinicalTrials.gov study NCT00367796. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Comparing MRI to CT on Pediatric Craniosynostosis.
ClinicalTrials.gov study NCT04704284. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Neurodevelopmental Outcomes in Craniosynostosis Repair
ClinicalTrials.gov study NCT04072783. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Ribosome biogenesis controls suture mesenchymal stem cell fate via selective regulation of complement pathway in to prevent craniosynostosis
GEO Series GSE223616. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing; Other.
Skeletal Stem Cell Powering Cranial Suture Fate: An Answer to Craniosynostosis (scRNA-seq)
GEO Series GSE138881. Mus musculus. 360 samples. Type: Expression profiling by high throughput sequencing.
Ribosome biogenesis controls suture mesenchymal stem cell fate via selective regulation ofcomplement pathway in to prevent craniosynostosis [Ribo-seq]
GEO Series GSE223615. Homo sapiens. 4 samples. Type: Other.
Modifiers and Mediators of Craniosynostosis Severity Revealed by Differential Gene Expression
GEO Series GSE143628. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.