Toward near real-time precise supervision of radiofrequency ablation for liver fibrosis using hyperspectral imaging

Chronic liver diseases pose a significant global health concern, ranking as the 11th leading cause of death worldwide. It often progresses to organ fibrosis and severe complications such as portal hypertension and cirrhosis. Liver transplantation is the most effective treatment for such diseases, however, the persistent shortage of donors highlights the need for alternatives. Radiofrequency ablation (RFA) is a promising alternative since it is a minimally invasive procedure. RFA uses heat to destroy abnormal tissues. Its benefits include reduced recovery time compared to surgery, precise targeting of affected areas, and long-lasting symptom relief in many cases. However, RFA has challenges, such as potential risks of nerve damage, infection, or incomplete ablation, requiring repeat treatments. Although significant progress in RFA techniques, effective monitoring remains challenging due to the limited ability to accurately characterize the dynamic thermal diffusion and complex tissue responses.

To address this challenge, hyperspectral imaging (HSI) shows promise in monitoring tissue necrosis post-ablation. Our study evaluated HSI's efficacy in monitoring RFA on ex vivo human fibrotic liver tissue samples.

Statistical analysis revealed correlations between spectral patterns and tissue conditions, which helped identify the optimal spectral bands of 543 nm and 579 nm for accurately distinguishing different tissue states. Analyzing the hemoglobin absorption profile indicated significant reductions in absorption of the green light band, showing approximately 40 % reduction in fibrotic tissue and around 20 % reduction in ablated tissue when compared to normal liver tissue. Additionally, a threshold was established for predicting the ablated area of liver samples, ensuring a condition of 90 % specificity.

Consequently, HSI proved to be a valuable tool for monitoring ablation and a step for improving treatment outcomes for liver fibrosis.