Interpretation and applicability of empirical tissue enhancement metrics in dynamic contrast-enhanced MRI based on a multiple pathway model

Computer simulations based on a physiologically realistic tracer kinetic model with multiple pathways was used to provide insights on the applicability and interpretation of tissue enhancement metrics such as the maximum slope, peak enhancement and area under curve, commonly used in dynamic contrast...

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Main Authors: Koh, T. S., Thng, C. H., Kwek, J. W., Khoo, J. B. K., Shi, W., Bisdas, S.
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/104230
http://hdl.handle.net/10220/16985
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1042302020-03-07T14:00:37Z Interpretation and applicability of empirical tissue enhancement metrics in dynamic contrast-enhanced MRI based on a multiple pathway model Koh, T. S. Thng, C. H. Kwek, J. W. Khoo, J. B. K. Shi, W. Bisdas, S. School of Electrical and Electronic Engineering DRNTU::Science::Physics Computer simulations based on a physiologically realistic tracer kinetic model with multiple pathways was used to provide insights on the applicability and interpretation of tissue enhancement metrics such as the maximum slope, peak enhancement and area under curve, commonly used in dynamic contrast-enhanced (DCE) MRI. Results show that physiological conditions of the tissue that could affect the accuracy of the maximal slope method include a high blood flow, increased variability of flow within the vasculature or a low vascular volume. Interestingly, changes in permeability and interstitial volume might not affect the accuracy of the maximal slope method. Time-to-peak and peak value of the tissue enhancement curve are not strictly properties of the tissue alone, and they cannot be linearly related to intrinsic tissue parameters such as blood flow, blood volume, capillary permeability, interstitial volume and mean transit time. Similar to the normalized initial area under tissue concentration curve, an alternative estimate of the total tracer distribution volume can be simply given by the ratio of tracer concentration in the tissue and artery sampled at the final DCE scan. 2013-10-28T08:47:11Z 2019-12-06T21:28:40Z 2013-10-28T08:47:11Z 2019-12-06T21:28:40Z 2012 2012 Journal Article Koh, T. S., Shi, W., Thng, C. H., Kwek, J. W., Bisdas, S., & Khoo, J. B. K. (2012). Interpretation and applicability of empirical tissue enhancement metrics in dynamic contrast-enhanced MRI based on a multiple pathway model. Physics in Medicine and Biology, 57(15), N279-N294. https://hdl.handle.net/10356/104230 http://hdl.handle.net/10220/16985 10.1088/0031-9155/57/15/N279 en Physics in medicine and biology
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Science::Physics
spellingShingle DRNTU::Science::Physics
Koh, T. S.
Thng, C. H.
Kwek, J. W.
Khoo, J. B. K.
Shi, W.
Bisdas, S.
Interpretation and applicability of empirical tissue enhancement metrics in dynamic contrast-enhanced MRI based on a multiple pathway model
description Computer simulations based on a physiologically realistic tracer kinetic model with multiple pathways was used to provide insights on the applicability and interpretation of tissue enhancement metrics such as the maximum slope, peak enhancement and area under curve, commonly used in dynamic contrast-enhanced (DCE) MRI. Results show that physiological conditions of the tissue that could affect the accuracy of the maximal slope method include a high blood flow, increased variability of flow within the vasculature or a low vascular volume. Interestingly, changes in permeability and interstitial volume might not affect the accuracy of the maximal slope method. Time-to-peak and peak value of the tissue enhancement curve are not strictly properties of the tissue alone, and they cannot be linearly related to intrinsic tissue parameters such as blood flow, blood volume, capillary permeability, interstitial volume and mean transit time. Similar to the normalized initial area under tissue concentration curve, an alternative estimate of the total tracer distribution volume can be simply given by the ratio of tracer concentration in the tissue and artery sampled at the final DCE scan.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Koh, T. S.
Thng, C. H.
Kwek, J. W.
Khoo, J. B. K.
Shi, W.
Bisdas, S.
format Article
author Koh, T. S.
Thng, C. H.
Kwek, J. W.
Khoo, J. B. K.
Shi, W.
Bisdas, S.
author_sort Koh, T. S.
title Interpretation and applicability of empirical tissue enhancement metrics in dynamic contrast-enhanced MRI based on a multiple pathway model
title_short Interpretation and applicability of empirical tissue enhancement metrics in dynamic contrast-enhanced MRI based on a multiple pathway model
title_full Interpretation and applicability of empirical tissue enhancement metrics in dynamic contrast-enhanced MRI based on a multiple pathway model
title_fullStr Interpretation and applicability of empirical tissue enhancement metrics in dynamic contrast-enhanced MRI based on a multiple pathway model
title_full_unstemmed Interpretation and applicability of empirical tissue enhancement metrics in dynamic contrast-enhanced MRI based on a multiple pathway model
title_sort interpretation and applicability of empirical tissue enhancement metrics in dynamic contrast-enhanced mri based on a multiple pathway model
publishDate 2013
url https://hdl.handle.net/10356/104230
http://hdl.handle.net/10220/16985
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