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Radiomics of Hepatocellular Carcinoma

C

Chinese Academy of Sciences

Status

Unknown

Conditions

Hepatocellular Carcinoma

Study type

Observational

Funder types

Other

Identifiers

NCT02757846
20160427ABCD

Details and patient eligibility

About

We propose a radiomics approach to identify prognostic biomarkers of HCC and provide patients with some reasonable advice for their therapies.

Full description

Radiomics is emerging fields that is based on quantitative analysis of medical images. Tri-phasic CT images are currently the standard imaging modality for the management of HCC. Our goal is to improve treatment decisions of HCC patients through better understanding of their prognosis based on radiomics modeling of HCC. Radiomics is defined as the extraction of quantitative image features from medical images. We will use triphasic CT data of at least 200 patients and develop a robust strategy to extract imaging features from CT. We will use deep learning in the form of a Convolutional Neural Network to segment HCC lesions and use image feature extraction algorithms with supervised classification to predict prognosis.

Enrollment

1,200 estimated patients

Sex

All

Volunteers

No Healthy Volunteers

Inclusion criteria

  • The purpuse of our research is to improve treatment ,therefore we have no creteria.

Exclusion criteria

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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