Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
Add to Favorite Get Latest Update

Hepatoellular Carcinoma:Tumor Border findings on Lower Field MR Imaging with Pathologic Correlation

YU Shen ping, SHNE Bing qi,XU Da sheng (Department of Radiology, First Affiliated Hospital, Sun Yat sen University of Medical Sciences, Guangzhou,510080,China)$$$$  
Objective To study the tumor border patterns of hepatocellular carcinoma (HCC) on lower field MRI and its pathological basis. Method Tumor border patterns on MRI of 33 cases of HCC were analyzed, and MRI pathologic correlation study of 24 resected HCC specimens were performed. Results ①The tumor border patterns of the 33 HCC on T 2WI were divided into three groups:well defined nonlobular margin (82/132 quadrants; 62.1%),well defined lobular margin (20/132 quadrants; 15.2%) and ill defined margin (30/132 quadrants;22.7%). ②The rate of same tumor border pattern of the in vivo and in vitro MRI HCC was 79.2%. ③Correlation between patterns of tumor border on MR scan and the pathological capsular patterns:most of the tumors with well defined nonlobular borders(88.2%) had complete capsules. Tumors with incomplete or irregular capsules were most commonly seen as well defined, lobular borders (67.5%) whereas most tumors without capsules had ill defined borders (66.7%). Correlation between the patterns of tumor border on MR studies and incidences of tumor invasion of surrounding hepatic tissues:scattered tumor cells in the surrounding hepatic tissues were found in 12/85(88.2%) areas with well defined nonlobular borders; 17/40(42.5%) areas with well defined, lobular borders; 25/45(55.6%) areas with ill defined borders. Conclusion The patterns of tumor borders on lower field MRI can accurately reflect circumstance of the tumor capsules, the tumor cell classification and the incidences of tumor invasion of surrounding hepatic tissue.
【CateGory Index】: R735.7
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved