The AI Prognostic Assessment and Pathological Basis Research of Early HCC After Minimally Invasive Treatment

NCT ID: NCT04299919

Last Updated: 2020-03-09

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

UNKNOWN

Total Enrollment

1200 participants

Study Classification

OBSERVATIONAL

Study Start Date

2007-04-01

Study Completion Date

2024-06-30

Brief Summary

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The study evaluates artificial intelligence method based on multimodal magnetic resonance imaging (MRI) images and clinical data in preoperative prediction of prognosis in early hepatocellular carcinoma (HCC) patients treated with minimally invasive treatment. The correlation between prognosis-related MRI features and pathological features was studied through artificial intelligence method, so as to provide the interpretability of image features for predicting the prognosis of HCC patients treated with minimally invasive treatment.

Detailed Description

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The prognosis prediction of early stage hepatocellular carcinoma (HCC) after minimally invasive treatment involves clinical decision of treatment and follow-up. Magnetic resonance imaging (MRI) has become the main approach for monitoring and following up of HCC, however it's difficult to predict HCC prognosis before surgery. We found the following limitations among previous researches: multimodal MRI using different sequences shows uncertain boundaries of HCC, which makes precise segmentation more difficult, and also leads to an additional workload for extracting high throughput radiomics features, which are limited in quantity and repeatability. Regarding to prognosis aspect, the MRI images, clinical data, and follow up information have not been fully exploited yet. In addition, the prognosis result obtained by radiomics workflow is difficult to be explained and applied to clinical application. Therefore, we conduct a study to solve the problems mentioned above: (1) To explore an effective deep learning neural network method and a pre-training model for improving tumor segmentation accuracy. (2) To establish a method for extracting high-throughput multi-dimensional and multimodal MRI radiomics features related to HCC prognosis. (3) To explore a correlation between "multimodal MRI based pathological features of early stage HCC" and the results of "multimodal MRI based prognosis depth network of early stage HCC after minimally invasive treatment". Based on above approaches, we aim to establish "multimodal MRI based prognosis model of early stage HCC after minimally invasive treatment" in different clinical application scenarios guiding to clinical decision-making. Moreover, we also aim to explore the correlation between MRI radiomics features and pathology, which provides theoretical foundations for the MRI radiomics based pathological researches.

Conditions

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Hepatocellular Carcinoma

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

RETROSPECTIVE

Study Groups

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Recurrence

All hepatocellular carcinoma (HCC) patients have been regularly monitored for recurrence via contrast CT or contrast-enhanced MRI after minimally invasive treatment or hepatectomy. The recurrence status included new intrahepatic lesions and/or extrahepatic metastasis.

Minimally invasive treatment

Intervention Type PROCEDURE

All hepatocellular carcinoma (HCC) patients received minimally invasive treatment, including transcatheter arterial chemoembolization (TACE), radiofrequency ablation (RFA) or combined.

Hepatectomy

Intervention Type PROCEDURE

All hepatocellular carcinoma (HCC) patients received hepatectomy.

Non-recurrence

All hepatocellular carcinoma (HCC) patients have been regularly monitored for recurrence via contrast CT or contrast-enhanced MRI after minimally invasive treatment or hepatectomy. The recurrence status included new intrahepatic lesions and/or extrahepatic metastasis.

Minimally invasive treatment

Intervention Type PROCEDURE

All hepatocellular carcinoma (HCC) patients received minimally invasive treatment, including transcatheter arterial chemoembolization (TACE), radiofrequency ablation (RFA) or combined.

Hepatectomy

Intervention Type PROCEDURE

All hepatocellular carcinoma (HCC) patients received hepatectomy.

Interventions

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Minimally invasive treatment

All hepatocellular carcinoma (HCC) patients received minimally invasive treatment, including transcatheter arterial chemoembolization (TACE), radiofrequency ablation (RFA) or combined.

Intervention Type PROCEDURE

Hepatectomy

All hepatocellular carcinoma (HCC) patients received hepatectomy.

Intervention Type PROCEDURE

Eligibility Criteria

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Inclusion Criteria

* Hepatocellular carcinoma patients received minimally invasive treatment (transcatheter arterial chemoembolization, radiofrequency ablation, or combined) or hepatectomy;
* Patients received MRI examination within 1 month before treatment;
* Complete post-treatment prognosis information.

Exclusion Criteria

* local or systemic treatment before MR examination;
* Incomplete clinical and pathological data;
* Heavy image artifacts.
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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The First Affiliated Hospital of Dalian Medical University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Ying Zhao, MD

Role: STUDY_CHAIR

The First Affiliated Hospital of Dalian Medical University

Locations

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The First Affiliated Hospital of Dalian Medical University

Dalian, Liaoning, China

Site Status

Countries

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China

References

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Bloomston M, Binitie O, Fraiji E, Murr M, Zervos E, Goldin S, Kudryk B, Zwiebel B, Black T, Fargher S, Rosemurgy AS. Transcatheter arterial chemoembolization with or without radiofrequency ablation in the management of patients with advanced hepatic malignancy. Am Surg. 2002 Sep;68(9):827-31.

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Related Links

Access external resources that provide additional context or updates about the study.

https://www.ncbi.nlm.nih.gov/pubmed/12356160

Transcatheter arterial chemoembolization.

https://www.ncbi.nlm.nih.gov/pubmed/29151695

Efficacy of postoperative in hepatocellular carcinoma patients with microvascular invasion.

https://www.ncbi.nlm.nih.gov/pubmed/26063407

Transcatheter arterial chemoembolization.

https://www.ncbi.nlm.nih.gov/pubmed/28994665

The segmentation of the portal vein.

https://www.ncbi.nlm.nih.gov/pubmed/30406313

Predicting the grade of hepatocellular carcinoma.

https://www.ncbi.nlm.nih.gov/pubmed/28705145

Texture-based classification of different single liver lesion.

https://www.ncbi.nlm.nih.gov/pubmed/30240304

Comparison of Models Using Radiomics.

https://www.ncbi.nlm.nih.gov/pubmed/16679273

Diagnosis of hepatic tumors with texture analysis.

https://www.ncbi.nlm.nih.gov/pubmed/27113641

The predicting microvascular invasion and outcome in hepatocellular carcinoma.

https://www.ncbi.nlm.nih.gov/pubmed/29922932

The best independent predictor of prognosis in hepatocellular carcinoma.

https://www.ncbi.nlm.nih.gov/pubmed/28099329

Evaluation of the efficacy of hepatocellular carcinoma.

https://www.ncbi.nlm.nih.gov/pubmed/29384909

The therapeutic effect of transarterial chemoembolization for hepatocellular carcinoma.

https://www.ncbi.nlm.nih.gov/pubmed/28256449

The survival prognosis in patients with hepatocellular carcinoma treated by conventional TACE.

https://www.ncbi.nlm.nih.gov/pubmed/28779950

Transcatheter arterial chemoembolisation.

https://www.ncbi.nlm.nih.gov/pubmed/29218611

Portal hypertension is associated with poor outcome of transarterial chemoembolization in patients with hepatocellular carcinoma.

Other Identifiers

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PJ-KS-KY-2019-167

Identifier Type: -

Identifier Source: org_study_id

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