Clinical Decision Biological Biomarker and Prognosis Prediction of Hepatocellular Carcinoma by Deep Learning

NCT ID: NCT05257694

Last Updated: 2022-10-21

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

1 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-01-01

Study Completion Date

2025-12-31

Brief Summary

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Developing a deep learning model based on contrast-enhanced ultrasound (CEUS) to predict the prognosis of hepatocellular carcinoma (HCC) and aid choose operation decisions

Detailed Description

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Collecting CEUS and clinical data of HCC from different institutions retrospectively.

Developing a deep learning model based on CEUS to predict the prognosis of HCC. Developing a deep learning model based on CEUS to choose a better operation (ablation or surgery) of HCC patients.

Then, validating the deep learning model in the prospective data.

Conditions

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Hepatocellular Carcinoma Contrast-enhanced Ultrasound Prognosis Surgery Ablation

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Interventions

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Surgery

hepatectomy

Intervention Type PROCEDURE

Ablation (Microwave ablation or Radiofrequency ablation)

image-guided ablation

Intervention Type PROCEDURE

Eligibility Criteria

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Inclusion Criteria

* patients with HCC (Ia, Ib, IIa stage) China liver cancer staging who underwent resection or ablation
* without macro-vascular invasion
* Child-Pugh A/B grade
* HCC is proved by pathological examination or two enhanced imaging
* CEUS (Sonovue or Sonozoid) images are performed two weeks before the operation
* Invasive biomarker or prognosis of HCC available
* CEUS images are included in at least three stages (Arterial phase, Portal phase, and Late phase)

Exclusion Criteria

* postop follow-up loss or expired less than 3 months
* patients with co-malignancy
* poor images quality for analyzing
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Ping Liang

OTHER

Sponsor Role lead

Responsible Party

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Ping Liang

Chief of department of interventional ultrasound

Responsibility Role SPONSOR_INVESTIGATOR

Locations

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Chinese PLA General Hospital

Beijing, Beijing Municipality, China

Site Status RECRUITING

Countries

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China

Central Contacts

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Ping Liang, Dr.

Role: CONTACT

+86 10 66939530

jiapeng wu, Dr.

Role: CONTACT

+86 13079692188

Facility Contacts

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Ping Liang, Doctor

Role: primary

Other Identifiers

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S2022-002

Identifier Type: -

Identifier Source: org_study_id

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