Computed Tomography Perfusion Following Transarterial Chemoembolization of Hepatocellular Carcinoma

2017 ◽  
Vol 41 (5) ◽  
pp. 708-712 ◽  
Author(s):  
Thomas Wimmer ◽  
Juergen Steiner ◽  
Emina Talakic ◽  
Rudolf Stauber ◽  
Franz Quehenberger ◽  
...  
2014 ◽  
Vol 13 (6) ◽  
pp. 612-617 ◽  
Author(s):  
Rong-Jie Bai ◽  
Jin-Ping Li ◽  
Shao-Hua Ren ◽  
Hui-Jie Jiang ◽  
Xin-Ding Liu ◽  
...  

2014 ◽  
Vol 44 ◽  
pp. 193-196 ◽  
Author(s):  
Ümmügülsüm BAYRAKTUTAN ◽  
Abdulmecit KANTARCI ◽  
Hayri OĞUL ◽  
Yeşim KIZRAK ◽  
Ömer ÖZYİĞİT ◽  
...  

2019 ◽  
Vol 18 ◽  
pp. 153303381984448
Author(s):  
Yijun Zhang ◽  
Shuping Qu ◽  
Wanwan Yi ◽  
Jian Zhai ◽  
Xiaobing Zhang ◽  
...  

Purpose: To establish a computed tomography–based prognostic model for patients with hepatocellular carcinoma treated with transarterial chemoembolization. Materials and Methods: Using prospectively collected data from 195 consecutive patients with hepatocellular carcinoma who underwent chemolipiodolization at the Eastern Hepatobiliary Surgery Hospital between 2013 and 2016, we established a prognostic model based on hepatocellular carcinoma enhancement patterns on computed tomography scans to predict the outcome of transarterial chemoembolization. Furthermore, a histopathology analysis was performed on 108 different patients undergoing resection between 2014 and 2016 to identify whether there was a correlation between enhancement pattern and microvessel density. Results: The prognostic model classified hepatocellular carcinoma into 3 types: type I, which reached peak enhancement during the arterial phase and had a high mean microvessel density (101.5 vessels/0.74 mm2); type II, which reached peak enhancement during the portal venous or delayed phase and had an intermediate microvessel density (53.6 vessels/0.74 mm2); and type III, in which the tumor was insignificantly enhanced and had a low microvessel density (21.1 vessels/0.74 mm2). For type I, II, and III hepatocellular carcinoma, the post-transarterial chemoembolization 1-year tumor complete necrosis rates were 13.7%, 36.5%, and 0%, respectively ( P < .001), and the 3-year overall survival rates were 14.1%, 38.6%, and 0%, respectively ( P < .001). Conclusion: Our results indicate that hepatocellular carcinoma type is an independent predictor of complete necrosis and overall survival


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e14509-e14509
Author(s):  
Dong Wu ◽  
Hengwei Fan ◽  
Shuping Qu

e14509 Background: This study aimed to establish a computed tomography-based prognostic model for patients with hepatocellular carcinoma treated with transarterial chemoembolization. Methods: Using prospectively collected data from 195 consecutive patients with hepatocellular carcinoma who underwent chemolipiodolization at the Eastern Hepatobiliary Surgery Hospital between 2013 and 2016, we established a prognostic model based on hepatocellular carcinoma enhancement patterns on computed tomography scans to predict the outcome of transarterial chemoembolization. Furthermore, a histopathology analysis was performed on 108 different patients undergoing resection between 2014 and 2016 to identify whether there was a correlation between enhancement pattern and microvessel density. Results: The prognostic model classified hepatocellular carcinoma into 3 types: Type I, which reached peak enhancement during the arterial phase and had a high mean microvessel density (101.5 vessels/0.74 mm2); Type II, which reached peak enhancement during the portal venous or delayed phase and had an intermediate microvessel density (53.6 vessels/0.74 mm2); and Type III, in which the tumor was insignificantly enhanced and had a low microvessel density (21.1 vessels/0.74 mm2). For type I, II, and III hepatocellular carcinoma, the post-transarterial chemoembolization 1-year tumor complete necrosis rates were 13.7%, 36.5%, and 0%, respectively (p < 0.001) and the 3-year overall survival rates were 14.1%, 38.6%, and 0%, respectively (p < 0 .001). Conclusions: Our results indicate that hepatocellular carcinoma type is an independent predictor of complete necrosis and overall survival.


Sign in / Sign up

Export Citation Format

Share Document