Neoadjuvant Therapy in Patients With Resectable HCC Screened by a Multimodal Deep Learning Model
Trial Parameters
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Brief Summary
Primary liver cancer is one of the most common malignant tumors in the world, and about 80%\~90% of primary liver cancers are pathologically characterized as hepatocellular carcinoma (HCC). Radical surgery is the main method for patients with HCC to obtain long-term survival. However, the early recurrence rate of high-risk HCC is very high, which seriously affects the overall therapeutic effect.
Eligibility Criteria
Inclusion Criteria: 1. Aged 18-75. 2. No previous local or systemic treatment for hepatocellular carcinoma. 3. Child-Pugh liver function score ≤ 7. 4. ECOG PS 0-1. 5. No serious organic diseases of the heart, lungs, brain, kidneys, etc. 6. Enhanced MRI determines that the tumor is technically resectable but at high risk for recurrence(BCLC-A tumor diameter more than or equal to 5cm; BCLC-B; BCLC-C) ; without distant metastasis. 7. Pathologic type of hepatocellular carcinoma confirmed by puncture biopsy. 8. Multimodal Deep Learning Model Screening Based on Pathology, Imaging, and Genetic Data Suggests Benefit from HAIC in Combination with Lenvatinib and PD-1 inhibitors. Exclusion Criteria: 1. Pregnant and lactating women. 2. Suffering from a condition that interferes with the absorption, distribution, metabolism, or clearance of the study drug (e.g., severe vomiting, chronic diarrhea, intestinal obstruction, impaired absorption, etc.). 3. A history of gastrointestinal bleeding within th