Accurate quantification of kidney function with non-sedated motion-compensated pediatric MRI
使用非镇静运动补偿小儿 MRI 准确量化肾功能
基本信息
- 批准号:10230988
- 负责人:
- 金额:$ 26.55万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-08-06 至 2023-07-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAdoptionAge-MonthsAgreementAnatomyAnesthesia proceduresChildChildhoodChronic Kidney InsufficiencyClinicalComputer AnalysisComputer softwareDataDevelopmentDiagnosisDiagnosticDialysis procedureDiscipline of Nuclear MedicineDiseaseDoseDrainage procedureEthicsFailureFree WillFunctional ImagingGadoliniumGlomerular Filtration RateHospitalizationHydronephrosisImageImaging TechniquesImpairmentInfectionInjectionsIonizing radiationKidneyKidney Function TestsKidney TransplantationLeadLeftLiquid substanceLower urinary tractMagnetic Resonance ImagingMapsMeasurementMeasuresMethodsModelingMonitorMotionNeonatalNephrectomyNewborn InfantNuclearObstructionOncologyOperative Surgical ProceduresPainPatient imagingPatient observationPatientsPentetic AcidPharmaceutical PreparationsPhysiologicalPlayProtocols documentationPublic HealthRadiationReference StandardsRenal functionRenal pelvisReproducibilityResolutionRoleScanningSedation procedureSeveritiesSleepStructureTechniquesTestingTimeTracerUltrasonographyUnnecessary SurgeryUreterUreteropelvic junction obstructionUrineUrologyanalysis pipelineautomated algorithmautomated analysisbasebulk motioncare costsclinical decision-makingclinical practicecontrast enhanceddeep neural networkfunctional declineheart motionimage processingimage reconstructionimaging approachimprovedinnovationkidney imagingkinetic modelneonateneural network algorithmnovelpharmacokinetic modelrenal arteryrespiratoryresponsespatiotemporaltemporal measurementtranslational impacturologic
项目摘要
Project Summary:
Ureteropelvic junction obstruction (UPJO) is an impairment of urine flow from the renal pelvis into the proximal
ureter and is the most common cause of hydronephrosis in neonates. This disorder is detected in up to 7% of
all maternal ultrasound scans, and an estimated 10% of these newborns have hydronephrosis, which, if left
untreated, may result in early failure of functional renal development in these patients. Current methods of
assessing kidney function in neonates and children are less than optimal, however. While the current reference
standard, nuclear renography (MAG3), yields some useful diagnostic information; it is invasive, slow, provides
low resolution, does not offer anatomic detail, and delivers potentially harmful ionizing radiation. Thus, there is
an urgent, unmet need to develop a method for functional imaging of kidneys that is non-invasive, safe,
accurate, reproducible and radiation-free. The primary objective of this exploratory, two-year study, therefore,
is two-fold: first, to develop advanced methods of motion-compensated, high spatial and temporal resolution
magnetic resonance imaging (MRI) for the improved quantification of the glomerular filtration rate (GFR), an
important marker of renal function; and second, to demonstrate the superiority of this method over the current
reference standard, nuclear renography (MAG3). Our application in response to PAR-18-743 is specifically
aimed at developing, and evaluating motion-robust, high spatiotemporal resolution dynamic contrast-enhanced
MRI (DCE-MRI) for quantifying GFR (MR-GFR) as well as creating new automated analysis software to enable
the robust and reproducible assessment of differential renal function in newborns eliminating need for sedation,
and in older children. Our method will overcome the technical challenges of current DCE-MRI techniques
providing high temporal resolution to capture fast arterial input function dynamics required for accurate
computation of GFR, compensate for unavoidable respiratory and bulk motion to reconstruct high quality
images and will provide robust, fast, automated post processing techniques for accurate GFR computation. As
a non-invasive, motion-robust, radiation-free imaging technique that can depict renal structures at much higher
resolution, MR-GFR will offer, for the first time, a level of diagnostic information that is unattainable with MAG3.
The critical importance of understanding the extent and severity of UPJO (and resulting hydronephrosis)
cannot be understated; for in the absence of this information, children who stand to benefit from immediate
surgery might be overlooked or delayed in receiving treatment; and those who might benefit from a more
conservative approach (i.e., watching waiting) might receive an unnecessary surgical intervention. Indeed, this
novel imaging approach is expected to substantially improve clinical decision-making. The successful
completion of our aims will enable 1) assessment of renal function accurately; 2) predicting the likelihood of
functional decline; and 3) determining whether surgery is indicated. DCE-MRI is expected to have rapid
translational impact for several diseases effecting kidney function once it is introduced into clinical practice.
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Improving Automatic Renal Segmentation in Clinically Normal and Abnormal Paediatric DCE-MRI via Contrast Maximisation and Convolutional Networks for Computing Markers of Kidney Function.
通过对比度最大化和卷积网络计算肾功能标记物,改进临床正常和异常儿科 DCE-MRI 的自动肾脏分割。
- DOI:10.3390/s21237942
- 发表时间:2021-11-28
- 期刊:
- 影响因子:0
- 作者:Asaturyan H;Villarini B;Sarao K;Chow JS;Afacan O;Kurugol S
- 通讯作者:Kurugol S
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