Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma
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|ClinicalTrials.gov Identifier: NCT03198975|
Recruitment Status : Unknown
Verified June 2017 by Ming Kuang, Sun Yat-sen University.
Recruitment status was: Recruiting
First Posted : June 26, 2017
Last Update Posted : June 26, 2017
|Condition or disease||Intervention/treatment|
|Hepatocellular Carcinoma||Diagnostic Test: Magnetic resonance image|
|Study Type :||Observational|
|Estimated Enrollment :||40 participants|
|Official Title:||Development of a Machine Learning-based Model for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma|
|Actual Study Start Date :||June 23, 2017|
|Estimated Primary Completion Date :||July 31, 2017|
|Estimated Study Completion Date :||July 31, 2017|
Preoperative imaging features
In this project, there is only one study group which comprises of patients with Hepatocellular Carcinoma (HCC) who will undergo preoperative Gd-EOB-DTPA enhanced magnetic resonance image.
Diagnostic Test: Magnetic resonance image
Histologically-diagnosed primary HCC after curative hepatectomy. The magnetic resonance image will be imported into the software ,and the radiomic textural features will be automatically extracted by the Analysis-Kit software.The high-throughput extracted features will be then selected and a prediction model will be developed in the training set in which patients were collected from a retrospective study. In this project, an independent validation set will be collected and used to validate the prediction accuracy of the model.
- Presence of microvascular invasion [ Time Frame: Through patient enrollment completion ,an average of 2 years ]Postoperative histologically confirmed microvascular invasion
Biospecimen Retention: Samples With DNA
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT03198975
|Contact: Zebin Chen, MD||+86 firstname.lastname@example.org|
|Contact: Jie Mei, MD||+86 email@example.com|
|The First Affiliated Hospital of Sun Yat-sen University||Recruiting|
|Guangzhou, Guangdong, China, 510080|
|Contact: Chen Zebin +8615017581009 firstname.lastname@example.org|
|Study Director:||Ming Kuang, PhD||Department of Liver Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China|