Growth curves for intracranial volume in normal Asian children fortify management of craniosynostosis

Kamochi, Hideaki; Sunaga, Ataru; Chi, Daekwan; Asahi, Rintaro; Nakagawa, Shiho; Mori, Masanori; Uda, Hirokazu; Sarukawa, Shunji; Sugawara, Yasuhiko

doi:10.1016/j.jcms.2017.08.026

Cited by 15 publications

(11 citation statements)

References 11 publications

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“…Of importance, intracranial space volume demonstrated a progressive increase with age (7,20). Therefore, the ventricular volume percentage may be better for the accurate and reproducible evaluation of serial changes in hydrocephalus as in this study.…”

Section: Discussionmentioning

confidence: 69%

Hydrocephalus: Ventricular Volume Quantification Using Three-Dimensional Brain CT Data and Semiautomatic Three-Dimensional Threshold-Based Segmentation Approach

Goo

2021

Korean J Radiol

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Objective To evaluate the usefulness of the ventricular volume percentage quantified using three-dimensional (3D) brain computed tomography (CT) data for interpreting serial changes in hydrocephalus. Materials and Methods Intracranial and ventricular volumes were quantified using the semiautomatic 3D threshold-based segmentation approach for 113 brain CT examinations (age at brain CT examination ≤ 18 years) in 38 patients with hydrocephalus. Changes in ventricular volume percentage were calculated using 75 serial brain CT pairs (time interval 173.6 ± 234.9 days) and compared with the conventional assessment of changes in hydrocephalus (increased, unchanged, or decreased). A cut-off value for the diagnosis of no change in hydrocephalus was calculated using receiver operating characteristic curve analysis. The reproducibility of the volumetric measurements was assessed using the intraclass correlation coefficient on a subset of 20 brain CT examinations. Results Mean intracranial volume, ventricular volume, and ventricular volume percentage were 1284.6 ± 297.1 cm 3 , 249.0 ± 150.8 cm 3 , and 19.9 ± 12.8%, respectively. The volumetric measurements were highly reproducible (intraclass correlation coefficient = 1.0). Serial changes (0.8 ± 0.6%) in ventricular volume percentage in the unchanged group (n = 28) were significantly smaller than those in the increased and decreased groups (6.8 ± 4.3% and 5.6 ± 4.2%, respectively; p = 0.001 and p < 0.001, respectively; n = 11 and n = 36, respectively). The ventricular volume percentage was an excellent parameter for evaluating the degree of hydrocephalus (area under the receiver operating characteristic curve = 0.975; 95% confidence interval, 0.948–1.000; p < 0.001). With a cut-off value of 2.4%, the diagnosis of unchanged hydrocephalus could be made with 83.0% sensitivity and 100.0% specificity. Conclusion The ventricular volume percentage quantified using 3D brain CT data is useful for interpreting serial changes in hydrocephalus.

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Section: Discussionmentioning

confidence: 69%

Hydrocephalus: Ventricular Volume Quantification Using Three-Dimensional Brain CT Data and Semiautomatic Three-Dimensional Threshold-Based Segmentation Approach

Goo

2021

Korean J Radiol

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“…Next, in order to measure the ICV more accurately, we decided to analyze only the CT data taken with a thickness of 2 mm or less. Although our sample size was comparable to those of similar previous studies, 12,13,15) only 106 subjects were finally analyzed.…”

Section: Limitationsmentioning

confidence: 90%

“…The intracranial space was defined as the region spanning the vertex cranially to the foramen magnum caudally, shown in Figure Supplement 1 (All Supplementary Files are available Online), as previously reported. 1,[10][11][12][13] The border lines of the fontanelles, foramen magnum, orbits, and skull sutures were drawn manually. After segmentation was finished, ICV was automatically calculated by iPlan.…”

Section: Measurement Of Icv and Two-dimensional Parametersmentioning

confidence: 99%

“…The ICV growth curves calculated herein showed almost the same shape as those previously repo rted. 9,12,13) Growth is most rapid from birth to 12 months of age; after 12 months of age, growth continues but gradually slows. It should be noted that the subjects in this study were exclusively Japanese children, as our data yielded ICV growth curves that were slightly larger in both sexes than those in previous reports on other races.…”

Section: Icv Two-dimensional Parameters and CI Datamentioning

confidence: 99%

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Growth Curves for Intracranial Volume and Two-dimensional Parameters for Japanese Children without Cranial Abnormality: Toward Treatment of Craniosynostosis

Tomita

Kameda

Senoo

et al. 2022

Neurol. Med. Chir.(Tokyo)

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“…raniosynostosis, the premature fusion of one or more cranial sutures, disrupts normal calvarial growth and can restrict intracranial volume. [1][2][3] The relationship between these factors and the optimal timing and approach to surgical management are still unclear, in part because of a lack of accurate reference data for comparison of normative intracranial volumes. [4][5][6] Intracranial volume measurement plays an integral role in the planning and assessment of surgical interventions for many craniofacial conditions, especially craniosynostosis.…”

mentioning

confidence: 99%

Intracranial Volumes of Healthy Children in the First 3 Years of Life: An Analysis of 270 Magnetic Resonance Imaging Scans

Brandel

Kamel

Carbulido

et al. 2022

Plastic &Amp; Reconstructive Surgery

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Background: There is a paucity of data on normal intracranial volumes for healthy children during the first few years of life, when cranial growth velocity is greatest. The aim of this study was to generate a normative predictive model of intracranial volumes based on brain magnetic resonance imaging from a large sample of healthy children to serve as a reference tool for future studies on craniosynostosis. Methods: Structural magnetic resonance imaging data for healthy children up to 3 years of age was acquired from the National Institutes of Health Pediatric MRI Data Repository. Intracranial volumes were calculated using T1-weighted scans with FreeSurfer (version 6.0.0). Mean intracranial volumes were calculated and best-fit logarithmic curves were generated. Results were compared to previously published intracranial volume curves. Results: Two-hundred seventy magnetic resonance imaging scans were available: 118 were collected in the first year of life, 97 were collected between years 1 and 2, and 55 were collected between years 2 and 3. A best-fit logarithmic growth curve was generated for male and female patients. The authors’ regression models showed that male patients had significantly greater intracranial volumes than female patients after 1 month of age. Predicted intracranial volumes were also greater in male and female patients in the first 6 months of life as compared to previously published intracranial volume curves. Conclusions: To the authors’ knowledge, this is the largest series of demographically representative magnetic resonance imaging–based intracranial volumes for children aged 3 years and younger. The model generated in this study can be used by investigators as a reference for evaluating craniosynostosis patients.

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Growth curves for intracranial volume in normal Asian children fortify management of craniosynostosis

Cited by 15 publications

References 11 publications

Hydrocephalus: Ventricular Volume Quantification Using Three-Dimensional Brain CT Data and Semiautomatic Three-Dimensional Threshold-Based Segmentation Approach

Hydrocephalus: Ventricular Volume Quantification Using Three-Dimensional Brain CT Data and Semiautomatic Three-Dimensional Threshold-Based Segmentation Approach

Growth Curves for Intracranial Volume and Two-dimensional Parameters for Japanese Children without Cranial Abnormality: Toward Treatment of Craniosynostosis

Intracranial Volumes of Healthy Children in the First 3 Years of Life: An Analysis of 270 Magnetic Resonance Imaging Scans

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