A feasibility study for determining ablative margin with 3D-CEUS-CT/MR image fusion after radiofrequency ablation of hepatocellular carcinoma

PURPOSE

To explore the feasibility and value of 3D-CEUS-CT/MR image fusion in evaluating ablative margin (AM) after radiofrequency ablation of hepatocellular carcinoma.

METHODS AND MATERIALS

There were 49 HCC in 41 patients enrolled in our prospective study. The AM were evaluated with 3D-CEUS-CT/MR image fusion, the results were divided into two groups: in group A, the tumor was completely ablated with a 5 mm AM; in group B, the tumor was completely ablated, but a 5 mm AM was not obtained. The time used in US-CT/MR image fusion and 3 D image post-processing, the technical success rate of 3D-CEUS-CT/MR image fusion and the relation between LTP and AM were observed.

RESULTS

The time taken for US-CT/MR image fusion and 3 D image post-processing was 9.2 ± 2.1 min (6 - 12 min), 14.6 ± 2.6 min (9 - 20 min), respectively. The technical success rate of 3D-CEUS-CT/MR image fusion was 81.6 % (40/49). 27 HCC had sufficient AM (group A) and 13 HCC had insufficient AM (group B). The LTP rates in groups A and B were 0/27 and 4/13, respectively. There was a significant difference between groups A and B (P = 0.002). There was a significant negative correlation between LTP and AM (r = -1.000, P< 0.001), and the locations of LTP and insufficient AM were concordant.

CONCLUSIONS

The results suggest that 3D-CEUS-CT/MR image fusion is feasible and useful in evaluating the AM after HCC ablation.

Direct pathogen detection from swab samples using a new high-throughput sequencing technology

The detection of emerging infectious diseases has been a continuing concern, especially with the novel influenza A (H1N1) viral pandemic of 2009. In the present study, we validated a ‘second-generation’ parallel sequencing platform for viral detection in swab samples collected during recent influenza virus infections in Beijing. This operation yielded millions of valid reads per sample and resulted in an almost complete spectrum of nucleotide information. Importantly, novel A (H1N1) and seasonal A (H3N2) influenza virus-derived sequences were detected without prior knowledge or use of genetic information in advance, suggesting that this approach could be a valuable tool for diagnosing emerging infectious diseases.