Literature DB >> 26236779

Feasibility of Single-Input Tracer Kinetic Modeling with Continuous-Time Formalism in Liver 4-Phase Dynamic Contrast-Enhanced CT.

Sang Ho Lee1, Yasuji Ryu2, Koichi Hayano3, Hiroyuki Yoshida.   

Abstract

The modeling of tracer kinetics with use of low-temporal-resolution data is of central importance for patient dose reduction in dynamic contrast-enhanced CT (DCE-CT) study. Tracer kinetic models of the liver vary according to the physiologic assumptions imposed on the model, and they can substantially differ in the ways how the input for blood supply and tissue compartments are modeled. In this study, single-input flow-limited (FL), Tofts-Kety (TK), extended TK (ETK), Hayton-Brady (HB), two compartment exchange (2CX), and adiabatic approximation to the tissue homogeneity (AATH) models were applied to the analysis of liver 4-phase DCE-CT data with fully continuous-time parameter formulation, including the bolus arrival time. The bolus arrival time for the 2CX and AATH models was described by modifying the vascular transport operator theory. Initial results indicate that single-input tracer kinetic modeling is feasible for distinguishing between hepatocellular carcinoma and normal liver parenchyma.

Entities:  

Keywords:  Bolus arrival time; Continuous-time tracer kinetic modeling; Four-phase dynamic contrast-enhanced CT; Vascular transport operator

Year:  2014        PMID: 26236779      PMCID: PMC4521587          DOI: 10.1007/978-3-319-13692-9_6

Source DB:  PubMed          Journal:  Abdom Imaging (2014)


  17 in total

Review 1.  Tracer kinetic modelling in MRI: estimating perfusion and capillary permeability.

Authors:  S P Sourbron; D L Buckley
Journal:  Phys Med Biol       Date:  2011-12-15       Impact factor: 3.609

Review 2.  Detection and characterization of hepatocellular carcinoma by imaging.

Authors:  Osamu Matsui
Journal:  Clin Gastroenterol Hepatol       Date:  2005-10       Impact factor: 11.382

3.  Direct measurement of hepatic blood flow in surgical patients: with related observations on hepatic flow dynamics in experimental animals.

Authors:  W G SCHENK; J C McDONALD; K McDONALD; T DRAPANAS
Journal:  Ann Surg       Date:  1962-09       Impact factor: 12.969

4.  Computed tomography perfusion imaging denoising using gaussian process regression.

Authors:  Fan Zhu; Trevor Carpenter; David Rodriguez Gonzalez; Malcolm Atkinson; Joanna Wardlaw
Journal:  Phys Med Biol       Date:  2012-05-23       Impact factor: 3.609

5.  On the scope and interpretation of the Tofts models for DCE-MRI.

Authors:  Steven P Sourbron; David L Buckley
Journal:  Magn Reson Med       Date:  2011-03-07       Impact factor: 4.668

6.  A vascular transport operator.

Authors:  R B King; A Deussen; G M Raymond; J B Bassingthwaighte
Journal:  Am J Physiol       Date:  1993-12

7.  Bolus delay and dispersion in perfusion MRI: implications for tissue predictor models in stroke.

Authors:  Fernando Calamante; Lisa Willats; David G Gadian; Alan Connelly
Journal:  Magn Reson Med       Date:  2006-05       Impact factor: 4.668

8.  Hepatic metastases: in vivo assessment of perfusion parameters at dynamic contrast-enhanced MR imaging with dual-input two-compartment tracer kinetics model.

Authors:  Tong San Koh; Choon Hua Thng; Puor Sherng Lee; Septian Hartono; Helmut Rumpel; Boon Cher Goh; Sotirios Bisdas
Journal:  Radiology       Date:  2008-08-11       Impact factor: 11.105

9.  Analysis of dynamic MR breast images using a model of contrast enhancement.

Authors:  P Hayton; M Brady; L Tarassenko; N Moore
Journal:  Med Image Anal       Date:  1997-04       Impact factor: 8.545

Review 10.  Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols.

Authors:  P S Tofts; G Brix; D L Buckley; J L Evelhoch; E Henderson; M V Knopp; H B Larsson; T Y Lee; N A Mayr; G J Parker; R E Port; J Taylor; R M Weisskoff
Journal:  J Magn Reson Imaging       Date:  1999-09       Impact factor: 4.813

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