Precise measurement of renal filtration and vascular parameters using a two-compartment model for dynamic contrast-enhanced MRI of the kidney gives realistic normal values.

Objective: To model the uptake phase of T(1)-weighted DCE-MRI data in normal kidneys and to demonstrate that the fitted physiological parameters correlate with published normal values.Methods: The model incorporates delay and broadening of the arterial vascular peak as it appears in the capillary be...

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Publicado en:European Radiology Vol. 22; no. 6; pp. 1320 - 1331
Autores principales: Tofts PS, Cutajar M, Mendichovszky IA, Peters AM, Gordon I, Tofts, Paul S, Cutajar, Marica, Mendichovszky, Iosif A, Peters, A Michael, Gordon, Isky
Formato: research Journal Article
Publicado: Springer Nature Jun2012
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2012
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      pub: Springer Nature
      place: New York, New York
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        2011548271
        10.1007/s00330-012-2382-9
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        atl: Precise measurement of renal filtration and vascular parameters using a two-compartment model for dynamic contrast-enhanced MRI of the kidney gives realistic normal values.
      aug:
        au:
          Tofts PS
          Cutajar M
          Mendichovszky IA
          Peters AM
          Gordon I
          Tofts, Paul S
          Cutajar, Marica
          Mendichovszky, Iosif A
          Peters, A Michael
          Gordon, Isky
        affil: Brighton and Sussex Medical School, Falmer, Sussex BN1 9PX, UK
      sug:
        subj:
          Contrast Media Pharmacokinetics
          Glomerular Filtration Rate Physiology
          Kidney Physiology
          Magnetic Resonance Imaging Methods
          Models, Biological
          Renal Artery Physiology
          Renal Circulation Physiology
          Adult
          Algorithms
          Computer Simulation
          Contrast Media Standards
          Female
          Contrast Media Diagnostic Use
          Great Britain
          Human
          Image Enhancement Methods
          Image Interpretation, Computer Assisted Methods
          Kidney Anatomy and Histology
          Magnetic Resonance Imaging Standards
          Male
          Reference Values
          Reproducibility of Results
          Sensitivity and Specificity
          Young Adult
          Adult: 19-44 years
          Female
          Male
      ab: Objective: To model the uptake phase of T(1)-weighted DCE-MRI data in normal kidneys and to demonstrate that the fitted physiological parameters correlate with published normal values.Methods: The model incorporates delay and broadening of the arterial vascular peak as it appears in the capillary bed, two distinct compartments for renal intravascular and extravascular Gd tracer, and uses a small-vessel haematocrit value of 24%. Four physiological parameters can be estimated: regional filtration K ( trans ) (ml min(-1) [ml tissue](-1)), perfusion F (ml min(-1) [100 ml tissue](-1)), blood volume v ( b ) (%) and mean residence time MRT (s). From these are found the filtration fraction (FF; %) and total GFR (ml min(-1)). Fifteen healthy volunteers were imaged twice using oblique coronal slices every 2.5 s to determine the reproducibility.Results: Using parenchymal ROIs, group mean values for renal biomarkers all agreed with published values: K ( trans ): 0.25; F: 219; v ( b ): 34; MRT: 5.5; FF: 15; GFR: 115. Nominally cortical ROIs consistently underestimated total filtration (by ~50%). Reproducibility was 7-18%. Sensitivity analysis showed that these fitted parameters are most vulnerable to errors in the fixed parameters kidney T(1), flip angle, haematocrit and relaxivity.Conclusions: These renal biomarkers can potentially measure renal physiology in diagnosis and treatment.Key Points: • Dynamic contrast-enhanced magnetic resonance imaging can measure renal function. • Filtration and perfusion values in healthy volunteers agree with published normal values. • Precision measured in healthy volunteers is between 7 and 15%.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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