Literature DB >> 12665029

A physiologic model of capillary-tissue exchange for dynamic contrast-enhanced imaging of tumor microcirculation.

T S Koh1, L H Cheong, Z Hou, Y C Soh.   

Abstract

We present a multiple compartment, mammillary distributed-parameter model for capillary-tissue exchange, which can be implemented with dynamic contrast-enhanced imaging to study kinetic heterogeneity in tumors. The proposed n-compartment model consists of a vascular distributed-parameter compartment in direct exchange with a number (n - 1) of interstitial compartments. It is applied to a prostate tumor case study to illustrate the possible co-existence of two kinetically distinct compartments in the tumor, and the estimation of useful physiological parameters (such as perfusion, mean transit time, fractional volumes, and transfer and rate constants) associated with tissue microcirculation. The present model exhibits the convenient property of a separable impulse residue response function in time domain, which can be used to provide further insights and understanding on the physiological basis of tissue enhancement parameters commonly used for correlation studies with tumor histological diagnosis.

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Year:  2003        PMID: 12665029     DOI: 10.1109/TBME.2002.807657

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  13 in total

1.  Revision of the theory of tracer transport and the convolution model of dynamic contrast enhanced magnetic resonance imaging.

Authors:  Stephen L Keeling; Roland Bammer; Rudolf Stollberger
Journal:  J Math Biol       Date:  2007-04-12       Impact factor: 2.259

2.  Dynamic contrast-enhanced CT imaging of hepatocellular carcinoma in cirrhosis: feasibility of a prolonged dual-phase imaging protocol with tracer kinetics modeling.

Authors:  Tong San Koh; Choon Hua Thng; Septian Hartono; Puor Sherng Lee; Su Pin Choo; Donald Y H Poon; Han Chong Toh; Sotirios Bisdas
Journal:  Eur Radiol       Date:  2009-01-10       Impact factor: 5.315

3.  A model-constrained Monte Carlo method for blind arterial input function estimation in dynamic contrast-enhanced MRI: I. Simulations.

Authors:  Matthias C Schabel; Jacob U Fluckiger; Edward V R DiBella
Journal:  Phys Med Biol       Date:  2010-08-03       Impact factor: 3.609

4.  Measurement of renal tissue oxygenation with blood oxygen level-dependent MRI and oxygen transit modeling.

Authors:  Jeff L Zhang; Glen Morrell; Henry Rusinek; Lizette Warner; Pierre-Hugues Vivier; Alfred K Cheung; Lilach O Lerman; Vivian S Lee
Journal:  Am J Physiol Renal Physiol       Date:  2014-01-22

5.  Fast nonlinear regression method for CT brain perfusion analysis.

Authors:  Edwin Bennink; Jaap Oosterbroek; Kohsuke Kudo; Max A Viergever; Birgitta K Velthuis; Hugo W A M de Jong
Journal:  J Med Imaging (Bellingham)       Date:  2016-06-16

6.  Comparison of blood flow models and acquisitions for quantitative myocardial perfusion estimation from dynamic CT.

Authors:  Michael Bindschadler; Dimple Modgil; Kelley R Branch; Patrick J La Riviere; Adam M Alessio
Journal:  Phys Med Biol       Date:  2014-03-10       Impact factor: 3.609

7.  Application of Distributed Parameter Model to Assessment of Glioma IDH Mutation Status by Dynamic Contrast-Enhanced Magnetic Resonance Imaging.

Authors:  Zongfang Li; Wei Zhao; Bo He; Tong San Koh; Yanxi Li; Yizhen Zeng; Zhuo Zhang; Jingzhong Zhang; Zujun Hou
Journal:  Contrast Media Mol Imaging       Date:  2020-11-22       Impact factor: 3.161

8.  Dynamic Contrast Enhanced Magnetic Resonance Imaging in Oncology: Theory, Data Acquisition, Analysis, and Examples.

Authors:  Thomas E Yankeelov; John C Gore
Journal:  Curr Med Imaging Rev       Date:  2009-05-01

9.  Delineation and segmentation of cerebral tumors by mapping blood-brain barrier disruption with dynamic contrast-enhanced CT and tracer kinetics modeling-a feasibility study.

Authors:  S Bisdas; X Yang; C C T Lim; T J Vogl; T S Koh
Journal:  Eur Radiol       Date:  2007-08-14       Impact factor: 5.315

10.  Imaging vascular function for early stage clinical trials using dynamic contrast-enhanced magnetic resonance imaging.

Authors:  M O Leach; B Morgan; P S Tofts; D L Buckley; W Huang; M A Horsfield; T L Chenevert; D J Collins; A Jackson; D Lomas; B Whitcher; L Clarke; R Plummer; I Judson; R Jones; R Alonzi; T Brunner; D M Koh; P Murphy; J C Waterton; G Parker; M J Graves; T W J Scheenen; T W Redpath; M Orton; G Karczmar; H Huisman; J Barentsz; A Padhani
Journal:  Eur Radiol       Date:  2012-05-07       Impact factor: 5.315

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