Development of CT image-based cranial bone markers of intra-cranial hypertension
Development of CT image-based cranial bone markers of intra-cranial hypertension
批准号:
10590419
负责人:
Antonio Reyes Porras Perez
金额:
$21.17万
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-08-01 至 2025-07-31
关键词:
AffectAgeAnatomyAreaBirthBone DensityBone DevelopmentBone ResorptionBrainBrain InjuriesCalvariaCephalicCessation of lifeChildChildhoodChronicClinicalClinical ManagementClinical ResearchCopperCraniosynostosisData SetDepositionDevelopmentDevelopmental Delay DisordersDiagnosisEarly identificationEvaluationGrowthHeadHeadacheHemorrhageHydrocephalusHypertensionImageImage AnalysisInfectionInterventionIntracranial HypertensionIntracranial HypotensionIntracranial PressureIntracranial Sinus ThrombosisLesionLive BirthLocationMagnetic Resonance ImagingMeasurementMethodsMineralsModelingMonitorNeurologicNormal RangeOperative Surgical ProceduresParietal bone structurePathologyPatientsPatternPhysiologic OssificationPhysiologic calcificationPilot ProjectsPopulationReportingReproducibilityRiskSpinal TapStatistical ModelsSurgical suturesSymptomsThickThinnessTimeTrainingTranslatingValidationVenousVomitingX-Ray Computed Tomographybonecraniumdensityimaging Segmentationimaging biomarkerimpressionimprovedmachine learning methodmachine learning modelneurosurgerypediatric patientspressurepreventquantitative imagingradiological imagingrelapse patientsrepairedsexskull basesuture fusiontool
中文摘要
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英文摘要
Project summary
The identification of intracranial hypertension (ICH) is essential during pediatric neurological and neurosurgical
evaluation. If untreated, it may lead to brain injury, developmental delay or even death. However, current non-
invasive evaluation of ICH is based on clinical symptoms that have poor correlation with it, and imaging
findings are highly variable and subjective. Hence, non-invasive evaluation of ICH is challenging and often
inconclusive. Additionally, invasive intracranial pressure monitors can help identify ICH but they are usually
avoided because they often offer inconclusive results and carry important risks of hemorrhage and infections.
Consequently, ICH remains underdiagnosed in the population. In this project, we aim to create non-invasive
methods to automatically identify the presence of ICH in pediatric patients using CT images of the head.
The main hypothesis of this project is that an elevated intracranial pressure results into a decrease of bone
mineralization, which can be quantified from CT images. This hypothesis is supported by clinical reports of
patients with elevated pressure or brain growth constraints showing thinner and less dense cranial bones, and
of patient with intracranial hypotension presenting an abnormally thick cranial bone.
During this project, we will: (1) create a sex- and age-specific normative statistical model of cranial bone
thickness and density between birth and 10 years using a large retrospective CT image dataset of subjects
without cranial pathology; (2) quantify bone abnormalities in patients with ICH and create machine learning
models to identify them using a retrospective dataset of patients who required surgical treatment for pressure
release; and (3) perform a pilot study to identify and quantify local signs of elevated pressure in patients with
cranial growth constraints caused by craniosynostosis. Upon completion of this project, we will have
established normative references of cranial bone mineralization, identified and quantified bone mineralization
changes associated with ICH, and created automatic tools to identify them. In addition, if our exploratory study
in patients with craniosynostosis succeeds, it will prompt a larger clinical study of the presence of ICH in these
patients that could translate in a substantial improvement of their clinical management through timely
interventions, especially in older children and relapsing patients.
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会议论文
Quantitative characterization and predictive modeling of cranial bone development in patients with craniosynostosis
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批准号:10431946
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项目类别:
-
资助金额:$24.89万
-
财政年份:2020
-
负责人:Antonio Reyes Porras Perez
-
依托单位:
Quantitative characterization and predictive modeling of cranial bone development in patients with craniosynostosis
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批准号:10205024
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项目类别:
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资助金额:$24.1万
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财政年份:2020
-
负责人:Antonio Reyes Porras Perez
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依托单位:
Quantitative characterization and predictive modeling of cranial bone development in patients with craniosynostosis
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批准号:10163362
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项目类别:
-
资助金额:$24.8万
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财政年份:2020
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负责人:Antonio Reyes Porras Perez
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依托单位:
Quantitative characterization and predictive modeling of cranial bone development in patients with craniosynostosis
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批准号:9889106
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项目类别:
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资助金额:$12.38万
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财政年份:2019
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负责人:Antonio Reyes Porras Perez
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依托单位:
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