scholarly journals Assessment of ablative margin by MRI with ferucarbotran in radiofrequency ablation for liver cancer: comparison with enhanced CT

2012 ◽  
Vol 85 (1014) ◽  
pp. 745-752 ◽  
Author(s):  
S Tokunaga ◽  
M Koda ◽  
T Matono ◽  
T Sugihara ◽  
T Nagahara ◽  
...  
2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Lianjie Bai ◽  
Xinping Wang ◽  
Shenglong Shi ◽  
Jian Gao ◽  
Xing Li ◽  
...  

Background. Radiofrequency ablation (RFA) has the similar curative effects to surgery, but RFA will lead to higher postoperative local recurrence rate. 3D-CEUS is a minimally invasive examination method, which is used to analyze the sensitivity to postoperative recurrence in this study. Methods. The clinical data of 60 patients with liver cancer admitted to our hospital (February 2018-February 2020) were retrospectively analyzed. All patients were treated with RFA and were followed up with 3D-CEUS, MRI, and enhanced CT examination after surgery. The ROC curve was used to analyze the differences of different examination methods in judging postoperative recurrence. Results. For the 60 patients, 52 patients (86.7%) had a single lesion and 8 patients (13.3%) had multiple lesions, with a total of 72 lesions. After RFA, 56 lesions (77.8%) were completely inactivated and 16 lesions (22.2%) remained. Totally inactivated lesions were detected as follows: 51 (91.1%) by 3D-CEUS, 42 (75.0%) by MRI, and 50 (89.3%) by enhanced CT. During a 2-year follow-up, a total of 26 recurrent lesions were detected, 24 (92.3%) by 3D-CEUS, 12 (46.2%) by MRI, and 25 (96.2%) by enhanced CT, indicating that the sensitivity of 3D-CEUS and enhanced CT was obviously higher than that of MRI ( P < 0.001 ), without conspicuous difference between sensitivity of 3D-CEUS and enhanced CT ( P > 0.05 ). Conclusion. As a new imaging examination method based on artificial intelligence, 3D-CEUS has a high sensitivity in patients with liver cancer who underwent RFA, which can effectively judge the recurrence after surgery and should be widely used in practice.


Author(s):  
O. G. Skipenko ◽  
K. N. Petrenko ◽  
N. N. Bagmet ◽  
A. L. Bedzhanyan ◽  
L. O. Polishchuk ◽  
...  

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