Evidence map›Paper›PMID 27551338›Full record

ArticleWorld journal of radiology2016

Correlation of magnetic resonance signal characteristics and perfusion parameters assessed by volume perfusion computed tomography in hepatocellular carcinoma: Impact on lesion characterization.

Gerd Grözinger, Michael Bitzer, Roland Syha, Dominik Ketelsen, Konstantin Nikolaou, Ulrich Lauer, Marius Horger

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Article in World journal of radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Gerd GrözingerGerd Grözinger, Roland Syha, Dominik Ketelsen, Konstantin Nikolaou, Marius Horger, Department of Diagnostic and Interventional Radiology, Eberhard Karls University, 72076 Tübingen, Germany.
Michael BitzerGerd Grözinger, Roland Syha, Dominik Ketelsen, Konstantin Nikolaou, Marius Horger, Department of Diagnostic and Interventional Radiology, Eberhard Karls University, 72076 Tübingen, Germany.
Roland SyhaGerd Grözinger, Roland Syha, Dominik Ketelsen, Konstantin Nikolaou, Marius Horger, Department of Diagnostic and Interventional Radiology, Eberhard Karls University, 72076 Tübingen, Germany.
Dominik KetelsenGerd Grözinger, Roland Syha, Dominik Ketelsen, Konstantin Nikolaou, Marius Horger, Department of Diagnostic and Interventional Radiology, Eberhard Karls University, 72076 Tübingen, Germany.
Konstantin NikolaouGerd Grözinger, Roland Syha, Dominik Ketelsen, Konstantin Nikolaou, Marius Horger, Department of Diagnostic and Interventional Radiology, Eberhard Karls University, 72076 Tübingen, Germany.
Ulrich LauerGerd Grözinger, Roland Syha, Dominik Ketelsen, Konstantin Nikolaou, Marius Horger, Department of Diagnostic and Interventional Radiology, Eberhard Karls University, 72076 Tübingen, Germany.
Marius HorgerGerd Grözinger, Roland Syha, Dominik Ketelsen, Konstantin Nikolaou, Marius Horger, Department of Diagnostic and Interventional Radiology, Eberhard Karls University, 72076 Tübingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo find out if magnetic resonance (MR)-signal characteristics of hepatocellular carcinomas (HCC) correlate with perfusion parameters assessed by volume perfusion computed tomography (VPCT).

methodsFrom October 2009 to January 2014, 26 (mean age, 69.3 years) patients with 36 HCC lesions who underwent both VPCT and MR liver imaging were analysed. We compared signal intensity in the T1w- and T2w-images and wash-in/wash-out kinetics on post-contrast MR images with mean values of blood flow (BF, mL/100 mL per minute), blood volume (BV, mL/100 mL), k-trans (mL/100 mL per minute), arterial liver perfusion (mL/100 mL per minute), portal venous perfusion and hepatic perfusion index (HPI, %) obtained by VPCT. Signal intensity on magnetic resonance imaging (MRI) was classified hyper/iso/hypointense compared with surrounding liver parenchyma.

resultsSignal intensity on native T1w- and T2w-images was hyper/iso/hypo in 4/16/16 and 21/14/1 lesions, respectively. Wash-in and wash-out contrast kinetics were found on MRI in 33 of 36 lesions (91.7%) and 25 of 36 lesions (69.4%), respectively. The latter was observed significantly more often in higher graded lesions (P < 0.005). HPI was 94.7% ± 6.5%. There was no significant relationship between lesion's MR-signal intensity, MR signal combinations, size and any of the VPCT-perfusion parameters. However HPI was constantly high in all HCC lesions.

conclusionVPCT parameters add limited value to MR-lesion characterization. However in HCC lesions with atypical MR signal characteristics HPI can add a parameter to ensure HCC diagnosis.

Indexed as

Hepatocellular carcinomaMagnetic resonance imagingVolume perfusion computed tomography

Identifiers

PMID27551338
PMCPMC4965352

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