The Evaluation of Surgical Decisions and Prognosis of the Radiomics and Watson Artificial Intelligence in Patients With Hepatocellular Carcinoma

Sponsor
Zhujiang Hospital (Other)
Overall Status
Recruiting
CT.gov ID
NCT03917017
Collaborator
(none)
100
1
1
72
1.4

Study Details

Study Description

Brief 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.

Condition or Disease Intervention/Treatment Phase
  • Device: Radiomics and Watson artificial intelligence
N/A

Detailed 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.

Study Design

Study Type:
Interventional
Anticipated Enrollment :
100 participants
Allocation:
N/A
Intervention Model:
Single Group Assignment
Masking:
None (Open Label)
Primary Purpose:
Treatment
Official Title:
The Evaluation of Surgical Decisions and Prognosis of the Radiomics and Watson Artificial Intelligence in Patients With Hepatocellular Carcinoma
Actual Study Start Date :
Jan 1, 2019
Anticipated Primary Completion Date :
Dec 31, 2024
Anticipated Study Completion Date :
Dec 31, 2024

Arms and Interventions

Arm Intervention/Treatment
Experimental: Radiomics and Watson artificial intelligence

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.

Outcome Measures

Primary Outcome Measures

  1. Postoperative survival [5 years]

    Survival after hepatectomy

Secondary Outcome Measures

  1. Disease-free survival [5 years]

    Survival time without tumor after HCC resection

Other Outcome Measures

  1. Intraoperative blood loss [intraoperative]

    Operative outcome

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years to 80 Years
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
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

Contacts and Locations

Locations

Site City State Country Postal Code
1 Zhujiang Hospital of Southern Medical University Guangzhou Guangdong China 510282

Sponsors and Collaborators

  • Zhujiang Hospital

Investigators

  • Study Director: Chihua Fang, M.D;Ph.D, China, Guangdong Zhujiang Hospital of The Southern Medical University

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Zhujiang Hospital
ClinicalTrials.gov Identifier:
NCT03917017
Other Study ID Numbers:
  • 201901
First Posted:
Apr 16, 2019
Last Update Posted:
Feb 15, 2022
Last Verified:
Feb 1, 2022
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Keywords provided by Zhujiang Hospital
Additional relevant MeSH terms:

Study Results

No Results Posted as of Feb 15, 2022