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Hybrid Deep Learning Integrating Multimodal CEUS and Enhanced MRI to Optimize Early-Stage HCC Treatment Decisions
Sponsor: The First Hospital of Jilin University
Summary
This study aims to address the issue of a lack of individualized basis for selecting liver resection (LH) or microwave ablation (MWA) in early-stage hepatocellular carcinoma (HCC) patients to reduce the early recurrence rate (≤2 years). Given that existing machine learning-based recurrence prediction studies have failed to guide the optimal treatment plan selection, and that multidisciplinary consultations rely on guidelines (universality) and experience (subjectivity) which have their limitations, we propose to utilize artificial intelligence (AI), specifically the advantages of multimodal deep learning technology (which outperforms traditional machine learning by integrating complementary information to provide more accurate predictions), to establish a hybrid deep learning model that integrates contrast-enhanced ultrasound (CEUS) and enhanced magnetic resonance imaging (MRI) features. This model will predict the probability of early recurrence (ER≤2 years) in patients and, based on this, recommend LH or MWA as the optimal first treatment option for newly diagnosed early HCC patients to optimize individualized treatment decisions.
Official title: Hybrid Deep Learning Models Based on Multimodal CEUS and Enhanced MRI Can Optimize Treatment Decisions for Early-stage Hepatocellular Carcinoma
Key Details
Gender
All
Age Range
18 Years - 85 Years
Study Type
OBSERVATIONAL
Enrollment
1424
Start Date
2026-04-30
Completion Date
2027-10-30
Last Updated
2026-05-12
Healthy Volunteers
No
Conditions
Interventions
surgery
The surgery was performed in supine position under general anesthesia with open/laparoscopic liver resection (LH), and the main and secondary incisions were made based on the tumor location. Intraoperative ultrasound was routinely used to assess the tumor, remnant liver volume, and the feasibility of negative margins. The type of liver resection followed established guidelines.
ablation
Ablation is performed under ultrasound guidance and intravenous anesthesia, using the KY-2000 treatment device with disposable ablation needles and monitoring software. For tumors with a diameter of less than 2cm, a single needle is used; for tumors of 2cm or more, dual needles (needle spacing ≤ 2cm) are used. The ablation parameters are set to a power of 40-65W and a duration of 1-15 minutes, with immediate post-operative ultrasound (contrast) assessment of the ablation range.
Locations (1)
The First Hospital of jilin University
Changchun, Jilin, China