This clinical study aims to non-invasively visualize perfusion and microvascularization, as well as individual glomeruli, using Ultrasound Localization Microscopy (ULM) and CEUS in patients with congenital anomalies of the kidney and urinary tract (CAKUT).
Congenital anomalies of the kidney and urinary tract (CAKUT) affect 0.5% of newborns and account for 20% of all congenital malformations. These conditions are associated with chronic kidney failure, a need for dialysis, and significantly increased mortality (30 times higher than healthy peers) and morbidity. Patients with CAKUT face substantial health and socioeconomic burdens due to lifelong therapy requirements. In Europe, CAKUT is the leading cause of dialysis-dependent chronic kidney failure. All CAKUT disorders arise in utero, interfering with kidney development and leading to reduced nephron formation. Many congenital kidney anomalies are diagnosed via prenatal ultrasound. These anomalies include ureteropelvic junction obstruction, often presenting as unilateral hydronephrosis, and posterior urethral valves, which can be associated with megacystis and bilateral hydronephrosis. The resulting urinary obstruction can cause pressure damage to kidney tissue during fetal development, further reducing functional nephron mass. Postnatally, ongoing pressure damage can lead to renal remodeling. The decreased nephron mass and remodeling increase the long-term risk of kidney insufficiency, which is currently assessed only by serum creatinine levels-these are delayed and less sensitive in infants and young children. Reliable biomarkers for reduced nephron mass or renal remodeling to predict chronic kidney injury risk in CAKUT patients are currently lacking. Currently, the actual pressure impact of sonographically detectable urinary obstruction can only be assessed through urine flow patterns using MAG-3 scintigraphy. However, this method is dependent on kidney function, which can affect the uptake and excretion of the radiopharmaceutical and subsequently influence the evaluation of results. The intravenous use of ultrasound contrast enhancers as an aid opens up the possibility of recording the tissue perfusion of the kidneys, including the smallest vessels, independent of the kidney function. This could provide significantly more information compared to conventional methods and expand our knowledge of the pathophysiology and individual status of tissue perfusion in patients. In this clinical study, the new CEUS measurement and imaging technique will be used after the kidney scintigraphy. A contrast agent (SonoVue®) will be administered during the routine ultrasound examination and improved tissue visualization will be achieved. The aim is to gain new insights into kidney perfusion as part of the treatment and to better assess the extent of organ damage in the individual patient through more specific vascular imaging. Finally, the aim is to compare diagnostic and prognostic methods with the currently recommended measures. The CEUS is to be examined as a possible diagnostic imaging tool and possibly a supplement to existing diagnostic methods.
Study Type
OBSERVATIONAL
Enrollment
20
CEUS is a contrast based ultrasound technique and ULM (Ultrasound Localization Microscopy) is a post-processing bioinformatical method to quantify microvascular architecture and perfusion dynamics.
FAU Erlangen-Nuernberg,
Erlangen, Bavaria, Germany
RECRUITINGCEUS Measurement1
PE (Peak-Enhancement)
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
CEUS Time intensity curves
All CEUS outcomes will be generated in order to achieve time intensity curves in contrast enhanced ultrasound analysis
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
CEUS Measurement2
WiAUC (Wash-in Area Under the Curve (AUC(TI: TTP)))
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
CEUS Measurement4
RT (Rise Time)
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
CEUS Measurement5
mTT (mean Transit Time local) (mTT-TI))
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
CEUS Measurement6
TTP (Time to Peak)
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
CEUS Measurement7
WiR (Wash-in-Rate )
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
CEUS Measurement8
WiPI (Wash-in Perfusion Index (WiAUC/RT))
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
CEUS Measurement9
WoAUC (Wash-out AUC (AUC(TTP:TO)))
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
CEUS Measurement10
WiWoAUC (Wash-in- und Wash-out-AUC (WiAUC+WoAUC))
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
CEUS Measurement11
FT (Fall Time - (TO-TTP))
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
CEUS Measurement12
WOR (Wash-out-Rate) QOF (Quality Of Fit between the echo-power signal and f(t)
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
CEUS Measurement13
QOF (Quality Of Fit between the echo-power signal and f(t)
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
Visualization and quantification of kidney perfusion with CEUS
CEUS imaging for kidney perfusion in CAKUT
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
Visualization and quantification of kidney mikrovaskularisation with ULM
ULM imaging for kidney perfusion and mikrovaskularisation in CAKUT
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
Visualization and quantification of glomeruli in the kidney with ULM
ULM imaging for glomeruli in the kidney
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
ULM and Ultrasound
Correlation of the vascular architecture visualized by ULM and parameters of quantified microvascular perfusion dynamics of the kidney (e.g., number of segmented glomeruli) with sonographic parameters (including Resistance Index (RI), flow velocity).
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
ULM and CEUS
Correlation of the vascular architecture visualized by ULM and parameters of quantified microvascular perfusion dynamics of the kidney (e.g., number of segmented glomeruli) with parameters of contrast-enhanced ultrasound (CEUS).
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
ULM and Biopsy
Correlation of the vascular architecture visualized by ULM and parameters of quantified microvascular perfusion dynamics of the kidney (including the number of segmented glomeruli) with histological parameters.
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
ULM on affected and unaffected kidney
Comparison of the vascular architecture visualized by ULM and parameters of quantified microvascular perfusion dynamics of the kidney (e.g., number of segmented glomeruli) between the affected and unaffected kidney in the same patient.
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
ULM and Scintigraphy
Correlation of the vascular architecture visualized by ULM and parameters of quantified microvascular perfusion dynamics of the kidney (e.g., number of segmented glomeruli) with parameters from renal scintigraphy (e.g., perfusion parameters).
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
Pressure changes with CEUS
Visualization of pressure changes in the kidney using the vascular architecture visualized by CEUS and parameters of quantified microvascular perfusion dynamics.
Regensburger Regensburger, PD Dr. med. Dr. rer. biol. Hum
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Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
Pressure changes with ULM
Visualization of pressure changes in the kidney using the vascular architecture visualized by ULM and parameters of quantified microvascular perfusion dynamics.
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
Comparison of the kidney before and after intervention with ULM
Comparison of the vascular architecture visualized by ULM and parameters of quantified microvascular perfusion dynamics of the kidney (e.g., number of segmented glomeruli) before and after intervention
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
ULM on different diagnoses
Comparison of the vascular architecture visualized by ULM and parameters of quantified microvascular perfusion dynamics of the kidney (e.g., number of segmented glomeruli) between different diagnoses.
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
ULM on clinical outcomes
Correlation and comparison of the vascular architecture visualized by ULM and parameters of quantified microvascular perfusion dynamics of the kidney (e.g., number of segmented glomeruli) with clinical criteria and clinical outcomes (surgical success).
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
Correlation between ULM and laboratory parameters
Correlation of the vascular architecture visualized by ULM and parameters of quantified microvascular perfusion dynamics of the kidney (e.g., number of segmented glomeruli) with laboratory parameters (including kidney function parameters, inflammatory markers, and immunological parameters).
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
Assessment of renal function GFR
GFR (ml/min/1,73 m2)
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
Assessment of renal function urea
urea (mg/dl)
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
Assessment of renal function urinary status
standardized urinary status
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)
Assesment of renal function kreatininekinase
kreatininekinase (U/l)
Time frame: Baseline and follow up (1-31 days after routine surgery if indicated)