Research
Machine learning model using contrast-enhanced CT for predicting overall survival in unresectable hepatocellular carcinoma treated with TACE plus targeted and immunotherapy: a multicenter study
Nature ·
The Brief
- A multicenter study describes a machine learning model that uses contrast-enhanced CT to predict overall survival.
- The model targets unresectable hepatocellular carcinoma patients treated with TACE plus targeted and immunotherapy.
- The provided sources contain only the title and no summary, so performance metrics and validation details are not available.
Why it matters
If validated, imaging-based survival prediction could help clinicians estimate prognosis for patients with unresectable liver cancer who receive combined treatment.
Who’s affected
- oncologists treating unresectable liver cancer
- radiologists and clinicians using CT imaging for cancer prognosis
- #liver cancer
- #machine learning
- #ct imaging
- #survival prediction
- #oncology