Grözinger G, Bitzer M, Syha R, Ketelsen D, Nikolaou K, Lauer U, Horger M. Correlation of magnetic resonance signal characteristics and perfusion parameters assessed by volume perfusion computed tomography in hepatocellular carcinoma: Impact on lesion characterization. World J Radiol 2016; 8(7): 683-692 [PMID: 27551338 DOI: 10.4329/wjr.v8.i7.683]
Corresponding Author of This Article
Gerd Grözinger, MD, Department of Diagnostic and Interventional Radiology, Eberhard Karls University, Hoppe Seyler Strasse 3, 72076 Tübingen, Germany. gerd.groezinger@med.uni-tuebingen.de
Research Domain of This Article
Radiology, Nuclear Medicine & Medical Imaging
Article-Type of This Article
Basic Study
Open-Access Policy of This Article
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Table 3 T1 and T2-signal characteristics, wash-in/wash-out kinetics and growth pattern in relation to histology and volume perfusion computed tomography parameters in n = 36 lesions
ALP
PVP
HPI
G1 (n = 15)
G2 (n = 18)
G3 (n = 3)
T2-Signal characteristics
Hyperintense (n = 21)
47.3 ± 18.7
3.0 ± 2.7
92.5 ± 7.1
8
13
0
Isointense (n = 14)
51.2 ± 17.3
1.1 ± 1.7
97.3 ± 4.4
6
5
3
Hypointense (n = 1)
80.7
0
100
1
0
0
P value for student t test P value hyperintens vs isointense
Table 4 Comparison of lesions with a typical magnetic resonance signal pattern (T2 hyperintense, T1 hypointense, wash-in and wash-out kinetic) vs lesions which did not fulfill at least one of the mentioned magnetic resonance criteria
MR-pattern
BF (mL/100 g tissue/min)
BV (mL/100 mL)
k-trans (mL/min per minute)
ALP (mL/100 g tissue/min)
PVP (mL/100 g tissue)
HPI (%)
Typical lesions (n = 26)
63.3 ± 22.3
15.4 ± 9.8
36.4 ± 12.7
48.9 ± 16.3
2.0 ± 2.7
95.0 ± 6.6
Atypical lesions (n = 10)
58.1 ± 28.1
15.2 ± 7.4
34.4 ± 20.0
52.5 ± 24.6
2.5 ± 2.3
93.7 ± 6.3
t test
P = 0.62
P = 0.94
P = 0.84
P = 0.68
P = 0.58
P = 0.61
Citation: Grözinger G, Bitzer M, Syha R, Ketelsen D, Nikolaou K, Lauer U, Horger M. Correlation of magnetic resonance signal characteristics and perfusion parameters assessed by volume perfusion computed tomography in hepatocellular carcinoma: Impact on lesion characterization. World J Radiol 2016; 8(7): 683-692