Published in:
01-03-2020 | Hepatocellular Carcinoma | ASO Author Reflections
ASO Author Reflections: Resection for Hepatocellular Carcinoma Beyond the BCLC Guidelines—How Can Machine Learning Techniques Help?
Authors:
Diamantis I. Tsilimigras, MD, Timothy M. Pawlik, MD, MPH, PhD
Published in:
Annals of Surgical Oncology
|
Issue 3/2020
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Excerpt
Recent advances in surgical techniques, radiologic assessment, and perioperative management have increased the resectability rates of hepatocellular carcinoma (HCC) worldwide.
1 Although the Barcelona Clinic Liver Cancer (BCLC) guidelines recommend resection only for patients with BCLC-0 or BCLC-A HCC,
2 a growing number of studies have shown a benefit of resection among select patients with BCLC-B HCC.
1,3 Due to the ongoing debate around the resection criteria for HCC, machine learning techniques
4 could help physicians identify the factors that hold the most prognostic weight in the pre- and postoperative setting for each BCLC stage and, thus, identify which patients will benefit the most from resection beyond the current BCLC criteria. …
