Viewing Study NCT06420440



Ignite Creation Date: 2024-06-16 @ 11:48 AM
Last Modification Date: 2024-10-26 @ 3:30 PM
Study NCT ID: NCT06420440
Status: NOT_YET_RECRUITING
Last Update Posted: 2024-05-20
First Post: 2024-05-14

Brief Title: Neoadjuvant Therapy in Patients With Resectable HCC Screened by a Multimodal Deep Learning Model
Sponsor: Chen Xiaoping
Organization: Tongji Hospital

Study Overview

Official Title: Efficacy and Safety of Neoadjuvant HAIC Combined With Tislelizumab and Lenvatinib in Patients With Resectable HCC Screened by a Multimodal Deep Learning Model a Multicenter Randomized Controlled Trial
Status: NOT_YET_RECRUITING
Status Verified Date: 2024-05
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: None
Brief Summary: Primary liver cancer is one of the most common malignant tumors in the world and about 8090 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 there is no consensus on surgical treatment for patients with BCLC-stage B or C HCC New tools are urgently needed to guide the choice of treatment options
Detailed Description: Primary liver cancer is one of the most common malignant tumors in the world and about 8090 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 there is no consensus on surgical treatment for patients with BCLC-stage B or C HCC Transarterial chemoembolization and systemic medication were the first line of treatment for this patients In eastern countries such as China BCLC-B is further categorized into stages IIa and IIb and surgical resection is recommended as the first-line treatment option for stage IIa while surgical resection can also be considered for stage IIb Moreover many studies have found that patients with BCLC-C stage tumors can also benefit from surgery and the overall prognosis were better than non-surgical treatment However the rate of postoperative recurrence is higher than that of early HCC To address this issue new tools are urgently needed to guide the selection of appropriate treatment regimens to reduce the risk of postoperative recurrence and improve overall survival

Our multidisciplinary team used deep learning technology to construct an artificial intelligence prediction model of neoadjuvant therapy Neoadj-Net benefit based on pre-treatment genetic testing data digital pathology slides and imaging data enhanced MRI of 536 intermediate-stage HCC patients treated with HAIC in combination with lenvatinib and PD-1 monoclonal antibody in six centers and external center data validated the models good ability to identify the beneficiary population of the combination regimen AUC 089 Accuracy 086 This study is to explore the effectiveness and safety of Neoadj-Net in reducing postoperative recurrence by observing the benefit of the combined neoadjuvant regimen in patients who are potentially benefited from neoadjuvant therapy and direct surgery from the perspective of precision therapy

Study Oversight

Has Oversight DMC: None
Is a FDA Regulated Drug?: False
Is a FDA Regulated Device?: False
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: None