Cranial bone thickness and density anomalies quantified from CT images can identify chronic increased intracranial pressure.

Purpose: The diagnosis of chronic increased intracranial pressure (IIP)is often based on subjective evaluation or clinical metrics with low predictive value. We aimed to quantify cranial bone changes associated with pediatric IIP using CT images and to identify patients at risk. Methods: We retrospe...

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Publicado en:Neuroradiology Vol. 66; no. 10; pp. 1817 - 1829
Autores principales: Liu, Jiawei, Chaij, Jasmine, Linguraru, Marius George, French, Brooke, Keating, Robert, Alexander, Allyson L., Porras, Antonio R.
Formato: research tables/charts Journal Article
Publicado: Springer Nature Oct2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2024
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      pub: Springer Nature
      place: New York, New York
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        atl: Cranial bone thickness and density anomalies quantified from CT images can identify chronic increased intracranial pressure.
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          Liu, Jiawei
          Chaij, Jasmine
          Linguraru, Marius George
          French, Brooke
          Keating, Robert
          Alexander, Allyson L.
          Porras, Antonio R.
        affil: Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
      sug:
        subj:
          Skull Abnormalities
          Bone Density
          Tomography, X-Ray Computed
          Chronic Disease
          Intracranial Pressure
          Pediatric Care
          Human
          Retrospective Design
          Record Review
          Craniosynostoses
          Confidence Intervals
          Sensitivity and Specificity
          Female
          Male
          Child, Preschool
          Child, Preschool: 2-5 years
          Female
          Male
      ab: Purpose: The diagnosis of chronic increased intracranial pressure (IIP)is often based on subjective evaluation or clinical metrics with low predictive value. We aimed to quantify cranial bone changes associated with pediatric IIP using CT images and to identify patients at risk. Methods: We retrospectively quantified local cranial bone thickness and mineral density from the CT images of children with chronic IIP and compared their statistical differences to normative children without IIP adjusting for age, sex and image resolution. Subsequently, we developed a classifier to identify IIP based on these measurements. Finally, we demonstrated our methods to explore signs of IIP in patients with non-syndromic sagittal craniosynostosis (NSSC). Results: We quantified a significant decrease of bone density in 48 patients with IIP compared to 1,018 normative subjects (P <.001), but no differences in bone thickness (P =.56 and P =.89 for age groups 0–2 and 2–10 years, respectively). Our classifier demonstrated 83.33% (95% CI: 69.24%, 92.03%) sensitivity and 87.13% (95% CI: 84.88%, 89.10%) specificity in identifying patients with IIP. Compared to normative subjects, 242 patients with NSSC presented significantly lower cranial bone density (P <.001), but no differences were found compared to patients with IIP (P =.57). Of patients with NSSC, 36.78% (95% CI: 30.76%, 43.22%) presented signs of IIP. Conclusion: Cranial bone changes associated with pediatric IIP can be quantified from CT images to support earlier diagnoses of IIP, and to study the presence of IIP secondary to cranial pathology such as non-syndromic sagittal craniosynostosis.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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