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Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma

2017年6月22日 更新者：Ming Kuang

Development of a Machine Learning-based Model for Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma

Microvascular invasion (MVI) has been well demonstrated as an unfavorable prognostic factor for hepatocellular carcinoma (HCC), and patients with MVI have a high risk of tumor recurrence after curative hepatectomy. Currently, the diagnosis of MVI is determined on the postoperative histologic examination, which greatly limits its influence on preoperative decision making. Therefore, we constructed this prospective study to develop a machine learning-based model for preoperative prediction of MVI by extracting high-dimensional magnetic resonance (MR) image features.

研究概览

地位

未知

条件

干预/治疗

详细说明

Histologically-diagnosed primary HCC after curative hepatectomy. The magnetic resonance image will be imported into the imaging management software (GE healthcare Analysis-Kit software),and the tumor lesions will manually delineated by two independent radiologists and then reconstruct into three-dimensional images for feature extraction. The radiomic textural features including grayscale histogram, transform matrix, wavelet transform and filter transformation are automatically extracted by the Analysis-Kit software.The high-throughput extracted features will be then selected by the univariate analysis, and a prediction model will be developed based on machine learning algorithm in a training set in which patients were collected from a retrospective study. And in the present study, an independent validation set will be collected and used to validate the prediction accuracy of the model.

研究类型

观察性的

注册 (预期的)

40

联系人和位置

本节提供了进行研究的人员的详细联系信息，以及有关进行该研究的地点的信息。

学习地点

  • 中国
    • Guangdong
      • Guangzhou、Guangdong、中国、510080
        • 招聘中
        • The First Affiliated Hospital of Sun Yat-Sen University
        • 接触：

参与标准

研究人员寻找符合特定描述的人，称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

18年 至 80年 (成人、年长者)

接受健康志愿者

不

有资格学习的性别

全部

取样方法

概率样本

研究人群

Between June 2017 and July 2017，all patients who will undergo curative resection (R0 resection) at the First Affiliated Hospital of Sun YatSen University in Guangzhou, China, for HCC based on the modified WHO classification of tumors of the digestive system, are considered for inclusion. By the eligibility criteria stated below, MVI presentative rate is 30-42% in chinese HCC population as reported, we retrospectively collected about 80 patients for training and an estimated 40 patients will be needed for validation set of this study.

描述

Inclusion Criteria:

  • Asian patients aged 18～80 years old;
  • HCC without macroscopic vascular invasion according to imaging findings;
  • Child Pugh A-B stage;
  • Receipt of preoperative Gd-EOB-DTPA enhanced MR imaging of the abdomen within one month before surgery;
  • Histologically-diagnosed primary HCC after curative hepatectomy;

Exclusion Criteria:

  • Combined hepatocellular-cholangiocarcinoma;
  • With extra-hepatic metastasis or macrovascular invasion;
  • With incomplete clinical and imaging data;
  • Non-radical resection;

学习计划

本节提供研究计划的详细信息，包括研究的设计方式和研究的衡量标准。

研究是如何设计的？

设计细节

队列和干预

团体/队列
干预/治疗
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.
诊断测试：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.

研究衡量的是什么？

主要结果指标

结果测量
措施说明
大体时间
Presence of microvascular invasion
大体时间：Through patient enrollment completion ,an average of 2 years
Postoperative histologically confirmed microvascular invasion
Through patient enrollment completion ,an average of 2 years

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

赞助

Ming Kuang

调查人员

  • 研究主任：Ming Kuang, PhD、Department of Liver Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China

出版物和有用的链接

负责输入研究信息的人员自愿提供这些出版物。这些可能与研究有关。

一般刊物

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查，以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始 (实际的)

2017年6月23日

初级完成 (预期的)

2017年7月31日

研究完成 (预期的)

2017年7月31日

研究注册日期

首次提交

2017年6月22日

首先提交符合 QC 标准的

2017年6月22日

首次发布 (实际的)

2017年6月26日

研究记录更新

最后更新发布 (实际的)

2017年6月26日

上次提交的符合 QC 标准的更新

2017年6月22日

最后验证

2017年6月1日

更多信息

与本研究相关的术语

关键字

其他相关的 MeSH 术语

其他研究编号

  • HCC10

计划个人参与者数据 (IPD)

计划共享个人参与者数据 (IPD)？

不

药物和器械信息、研究文件

研究美国 FDA 监管的药品

不

研究美国 FDA 监管的设备产品

不

此信息直接从 clinicaltrials.gov 网站检索，没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求，请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改，我们的网站上也会自动更新.

肝细胞癌的临床试验

Magnetic resonance image的临床试验

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赞助者和合作者

医疗条件

药物干预

CROs by country

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条件

罕见疾病

药物干预

膳食补充剂

赞助者/合作者

地点

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