Clinical Edge Journal Scan

AI analysis predicts post-surgery recurrence of hepatocellular carcinoma


 

Key clinical point: A multi-dimensional “combined index” model using artificial intelligence and SHG/TPEF microscopy was a stronger predictor of HCC recurrence than alpha fetoprotein levels in HCC patients who underwent curative hepatectomy.

Major finding: The sensitivity and specificity of the combined index model was 81.8% and 90.5%, respectively, compared to 68.2% and 47.6%, respectively, for alpha fetoprotein level as a predictor of recurrent HCC.

Study details: The data come from a study of 81 adults with hepatocellular carcinoma who underwent curative intent hepatectomy. Researchers used fibrotic features of resected tissue to create a recurrence prediction model.

Disclosures: The study was supported by the Taiwan Ministry of Health. The researchers had no financial conflicts to disclose.

Source: Liu I-T et al. Cancers (Basel). 2021 Oct 23. doi: 10.3390/cancers13215323.

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