Literature DB >> 19114368

[Value of computed tomography and magnetic resonance imaging in diagnosis and differential diagnosis of small hepatocellular carcinoma].

Yan Ma1, Xue-lin Zhang, Xin-yu Li, Lin Zhang, Huan-huan Su, Chuan-yin Zhan.   

Abstract

OBJECTIVE: To analyze the computed tomography (CT) and magnetic resonance imaging (MRI) findings of small hepatocellular carcinoma to improve the accuracy in the diagnosis.
METHODS: This retrospective analysis involved 41 patients with small hepatocellular carcinoma cases confirmed by pathological examination of the biopsy samples or follow-up. These patients were assessed for CT and MRI findings including lesion size, density or signal intensity, enhancement patterns, and presence of tumor capsules.
RESULTS: On unenhanced CT images, small hepatocellular carcinomas were displayed mainly as low-density masses, and the majority of tumors presented with low signal intensity on T1-weighted unenhanced MR images with increased signal intensity on T2-weighted images in comparison with the surrounding liver parenchyma. Most of tumors showed intense enhancement during the arterial phase (CT in 15 cases and MRI in 13 cases), but some appeared isointense to the liver parenchyma (CT in 4 cases and MRI in 4 cases). In portal and delayed phases, the tumors typically had lower signal intensity than that of the surrounding liver tissues (CT in 25 cases and MRI in 12 cases) with enhancement of the tumor capsules (13 cases).
CONCLUSION: Dynamic enhanced scanning can be more informative of the pathology and blood supply of small hepatocellular carcinoma. Early and late arterial phase imaging may help in detecting the small lesions and in making differential diagnosis.

Entities:  

Mesh:

Year:  2008        PMID: 19114368

Source DB:  PubMed          Journal:  Nan Fang Yi Ke Da Xue Xue Bao        ISSN: 1673-4254


  2 in total

1.  Cytokeratin-18 in Diagnosis of HCC in Patients with Liver Cirrhosis

Authors:  Saber A Ismail; Sherif El Saadany; Dina H Ziada; Soha S Zakaria; Wael W Mayah; Heba Elashry; Mona Arafa; Nehal Elmashad
Journal:  Asian Pac J Cancer Prev       Date:  2017-04-01

2.  Multiphase convolutional dense network for the classification of focal liver lesions on dynamic contrast-enhanced computed tomography.

Authors:  Su-E Cao; Lin-Qi Zhang; Si-Chi Kuang; Wen-Qi Shi; Bing Hu; Si-Dong Xie; Yi-Nan Chen; Hui Liu; Si-Min Chen; Ting Jiang; Meng Ye; Han-Xi Zhang; Jin Wang
Journal:  World J Gastroenterol       Date:  2020-07-07       Impact factor: 5.742

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.