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Quantitative hepatic perfusion modeling using DCE‐MRI with sequential breathholds
Author(s) -
Bultman Eric M.,
Brodsky Ethan K.,
Horng Debra E.,
Irarrazaval Pablo,
Schelman William R.,
Block Walter F.,
Reeder Scott B.
Publication year - 2014
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.24238
Subject(s) - perfusion , medicine , hepatocellular carcinoma , weibull distribution , nuclear medicine , mean transit time , liver perfusion , perfusion scanning , radiology , mathematics , statistics
Purpose To develop and demonstrate the feasibility of a new formulation for quantitative perfusion modeling in the liver using interrupted DCE‐MRI data acquired during multiple sequential breathholds. Materials and Methods A new mathematical formulation to estimate quantitative perfusion parameters using interrupted data was developed. Using this method, we investigated whether a second degree‐of‐freedom in the tissue residue function (TRF) improves quality‐of‐fit criteria when applied to a dual‐input single‐compartment perfusion model. We subsequently estimated hepatic perfusion parameters using DCE‐MRI data from 12 healthy volunteers and 9 cirrhotic patients with a history of hepatocellular carcinoma (HCC); and examined the utility of these estimates in differentiating between healthy liver, cirrhotic liver, and HCC. Results Quality‐of‐fit criteria in all groups were improved using a Weibull TRF (2 degrees‐of‐freedom) versus an exponential TRF (1 degree‐of‐freedom), indicating nearer concordance of source DCE‐MRI data with the Weibull model. Using the Weibull TRF, arterial fraction was greater in cirrhotic versus normal liver (39 ± 23% versus 15 ± 14%, P = 0.07). Mean transit time (20.6 ± 4.1 s versus 9.8 ± 3.5 s, P = 0.01) and arterial fraction (39 ± 23% versus 73 ± 14%, P = 0.04) were both significantly different between cirrhotic liver and HCC, while differences in total perfusion approached significance. Conclusion This work demonstrates the feasibility of estimating hepatic perfusion parameters using interrupted data acquired during sequential breathholds. J. Magn. Reson. Imaging 2014;39:853–865. © 2013 Wiley Periodicals, Inc .