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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT03917017
Other study ID # 201901
Secondary ID
Status Recruiting
Phase N/A
First received
Last updated
Start date January 1, 2019
Est. completion date December 31, 2024

Study information

Verified date February 2022
Source Zhujiang Hospital
Contact Chihua Fang, M.D;Ph.D
Phone +8613609700805
Email fangch_dr@163.com
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

The aim of this study was to evaluate the surgical decisions and prognosis of the radiomics and Watson artificial intelligence in patients with hepatocellular carcinoma.


Description:

Hepatectomy is an effective treatment for patients with hepatocellular carcinoma, but liver failure after hepatectomy may lead to increased postoperative mortality.Therefore, it is very important to make preoperative surgical decisions, evaluate the safety of the operation and identify which patients are likely to suffer from liver failure.Imaging omics is a newly emerging research method in recent years, which has great potential in cancer diagnosis and treatment, and can monitor treatment and predict the prognosis of patients, so as to better realize accurate diagnosis and treatment of diseases.The artificial intelligence platform developed by IBM Watson for Watson tumor treatment decisions can provide treatment decisions and corresponding theoretical basis to guide surgical decisions based on the key clinical data of liver cancer patients.


Recruitment information / eligibility

Status Recruiting
Enrollment 100
Est. completion date December 31, 2024
Est. primary completion date December 31, 2024
Accepts healthy volunteers No
Gender All
Age group 18 Years to 80 Years
Eligibility Inclusion Criteria: 1. 18 years= Age =80 years 2. Compling with the diagnosis criteria of complex hepatic carcinoma. 3. Primary hepatic carcinoma without intrahepatic or extrahepatic extensive cancer metastasis, the metastatic hepatic carcinoma whose primary focal has been controlled 4. Preoperative liver function is Child - Pugh grade A or B. 5. The patients are volunteered for the study. Exclusion Criteria: 1. Patients with mental illness. 2. Patients can't tolerate the operation owe to a variety of basic diseases (such as severe cardiopulmonary insufficiency, renal insufficiency, cachexia and blood system diseases, etc.) 3. The patients refused to take part in the study. 4. There are other co-existed malignant tumors. 5. Benign liver diseases. 6. Indocyanine green allergy

Study Design


Related Conditions & MeSH terms


Intervention

Device:
Radiomics and Watson artificial intelligence
The artificial intelligence platform developed by IBM Watson can provide treatment decisions and corresponding theoretical basis to guide surgical decisions based on the key clinical data of liver cancer patients. The imaging histology can be used to conduct intraoperative navigation surgical resection and treatment monitoring, and established a prognosis model to predict the prognosis of patients by grading the results of postoperative follow-up and microvascular invasion of pathological liver cancer, so as to better achieve accurate diagnosis and treatment of the disease.

Locations

Country Name City State
China Zhujiang Hospital of Southern Medical University Guangzhou Guangdong

Sponsors (1)

Lead Sponsor Collaborator
Zhujiang Hospital

Country where clinical trial is conducted

China, 

Outcome

Type Measure Description Time frame Safety issue
Other Intraoperative blood loss Operative outcome intraoperative
Primary Postoperative survival Survival after hepatectomy 5 years
Secondary Disease-free survival Survival time without tumor after HCC resection 5 years
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