JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES) ›› 2010, Vol. 48 ›› Issue (10): 88-91.

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Application of dynamic contrast-enhanced MRI in the diagnosis of hyper-vascular neoplasms of the liver

GUO Wei-hua1, LI Chuan-fu2, WEI Cong-xin2, HOU Jin-wen2   

  1. 1. Department of Radiology, The Second Hospital of Shandong University, Jinan 250033, China;
     2. Department  of Radiology, Qilu Hospital of Shandong University, Jinan 250012, China
  • Received:2010-07-06 Online:2010-10-16 Published:2010-10-16

Abstract:

Objective     To evaluate the usefulness of  three-dimensional fast acquisition  plus multiphase enhanced fast GRE(3D FAME) sequence at 3.0T MR in diagnosing hypervascular neoplasms of the liver. Methods     MR imaging was performed on 40 patients with hepatic neoplasms, including 26 hepatocellular carcinoma, 12  hemangioma  and  2 metastases. The imaging protocol consisted of a conventional plain scan and 3D FAME multi-phase dynamic scan (hepatic arterial,portal venous, equilibrium and delayed phases).Enhancement patterns were observed and  the time-signal intensity curve(TIC) was analyzed. Results      There were characteristic enhancement  patterns  identified among various types of hyper-vascular liver masses. The time-signal intensity curve reflected the hemodynamic changes of  the lesions. TIC of hepatocellular carcinoma was classified as: a) type Ⅰ: sharp incline and decline, which was seen in 69%(18/26) of cases; and b) type Ⅱ : sharp incline with flat decline, which was seen in 31%(8/26)of cases. TIC of hemangioma was classified as: a) type Ⅰ: flat incline  and plateau, which was seen in 67%(8/12)of cases; b)  type Ⅱ : sharp incline and plateau, which was seen in 33%(4/12) of cases. Two hyper-vascular metastases cases showed early peripheral-rim enhancement. Conclusion     3.0 T dynamic contrastenhanced MRI is very helpful in diagnosing different  hyper-vascular neoplasms of the liver.

Key words: Liver neoplasms; Magnetic resonance imaging; Dynamic contrast enhancement

CLC Number: 

  • R455.2
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