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

  • STATUS
    Recruiting
  • End date
    Dec 31, 2024
  • participants needed
    100
  • sponsor
    Zhujiang Hospital
Updated on 25 March 2022
carcinoma
hepatocellular carcinoma

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.

Details
Condition Liver Resection
Treatment Radiomics and Watson artificial intelligence
Clinical Study IdentifierNCT03917017
SponsorZhujiang Hospital
Last Modified on25 March 2022

Eligibility

Yes No Not Sure

Inclusion Criteria

18 years≤ Age ≤80 years
Compling with the diagnosis criteria of complex hepatic carcinoma
Primary hepatic carcinoma without intrahepatic or extrahepatic extensive cancer metastasis, the metastatic hepatic carcinoma whose primary focal has been controlled
Preoperative liver function is Child - Pugh grade A or B
The patients are volunteered for the study

Exclusion Criteria

Patients with mental illness
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.)
The patients refused to take part in the study
There are other co-existed malignant tumors
Benign liver diseases
Indocyanine green allergy
Clear my responses

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If you are confirmed eligible after full screening, you will be required to understand and sign the informed consent if you decide to enroll in the study. Once enrolled you may be asked to make scheduled visits over a period of time.

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Complete your scheduled study participation activities and then you are done. You may receive summary of study results if provided by the sponsor.

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