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Study of CT and MR in the Gastric Cancer

2020年3月31日 更新者：Henan Cancer Hospital

Clinical Study of CT and MR in Staging and Prediction of Response in Patients With Gastric Cancer

It is very significant that assessing staging in gastric cancer patients before surgery, furthermore, determining the optimize surgical strategy ,predict the the efficacy of neoadjuvant therapy for patients. For patients who are ineffective in neoadjuvant therapy, surgery will be more meaningful.

It has been reported that the application of CT(computed tomography,CT) and MR(magnetic resonance,MR) in staging of gastric cancer, but not in predicting clinical response to neoadjuvant therapy for gastric cancer. Only a few studies focused on T staging using conventional MRI in gastric cancer, however , relatively new sequences in the chest deserve widely used. To develop a pre-treatment evaluation methods for TN staging in patient with gastric cancer by utilization of the new imaging methods (T2-TSE-BLADE,T2 maps, StarVIBE, iShim-DWI and high resolution CT). By analysing the relationship between TN staging and imaging features to find the imaging characteristics for TN staging, and to find the indicators of new technology and reference values for facilitate pre-treatment diagnosis of TN staging, optimize surgical strategy , predict the the efficacy of adjunctive therapy , and OS and define the range of lymph node for radiotherapy , as making personal treatment planning for gastric cancer .

研究概览

地位

招聘中

条件

干预/治疗

详细说明

To explore the value of CT and MR using multiple sequences, including T2-TSE-BLADE, T2 maps StarVIBE, and iShim-DWI in evaluating the preoperative TN staging and prediction of response to neoadjuvant therapy and OS in patients with gastric cancer.

Patients with endoscopically biopsy-proven gastric cancer were prospectively enrolled for imaging on CT and a 3T MRI scanner . The MRI protocol included T2-TSE-BLADE, T2 maps,iShim-DWI(diffusion weighted imaging,DWI)and StarVIBE sequences, and so on. Patients received treatment according to NCCN guideline(the National Comprehensive Cancer Network,NCCN). Readers assigned a TN stage on CT and MRI, and post-operative pathologic confirmation was considered the gold standard.

Inter-reader agreement, the diagnostic accuracy of TN staging on CT and MRI were analyzed and compared to post-operative pathologic TN staging separately. MRI features were analyzed to find the correlation between pretreatment MRI features and response or OS. The study will include 400 patients. Inter-reader agreements of TN staging were analyzed excellent for CT and MRI. Diagnostic accuracy of CT and MRI will be calculated separately.

研究类型

观察性的

注册 (预期的)

400

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。

学习联系方式

  • 姓名：Jinrong Qu
  • 电话号码：0371-65587595
  • 邮箱：qjryq@126.com

研究联系人备份

学习地点

  • 中国
      • Zhengzhou、中国
        • 招聘中
        • Henan Cancer Hospital
        • 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

不适用

有资格学习的性别

全部

取样方法

概率样本

研究人群

Subjects with endoscopically biopsy-proven gastric cancer will receive treatment

描述

Inclusion Criteria:

  1. Consecutive patients with preoperative pathologically con-firmed gastric cancer by endoscopy and preoperative imaging data (esophagography\CT\EUS\MRI) were included.
  2. No contraindications for MRI examination. No contraindications contrast.
  3. The patients participate in this study with informed consent.

Exclusion Criteria:

  1. The patients couldn't performed MSCT or MR scanning or artefacts affect the evaluation.
  2. The patients are extremely anxious and uncooperative about surgery or neoadjuvant therapy .
  3. PatientsThe patients refuse to participate in the project.
  4. Other situations considered by investigators not meet the inclusion criteria.

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

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
MSCT and MRI staging in Gastric Cancer.
大体时间：up to 2 year
To evaluate the staging of gastric cancer treated with systematic therapy through MSCT and 3 T MRI which using multiple sequences.
up to 2 year

次要结果测量

结果测量
措施说明
大体时间
MSCT and MRI prediction of prognosis in gastric cancer
大体时间：up to 2 year
To construct a model,a depth convolution neural network based on MSCTand multi-modal MR quantitative images which can automatically mine key images characterization, combined with imaging features and prognosis,could further help to improve the prediction of response and OS of gastric cancer treated with systematic therapy.
up to 2 year

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

Henan Cancer Hospital

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)

2019年9月1日

初级完成 (预期的)

2023年12月1日

研究完成 (预期的)

2023年12月1日

研究注册日期

首次提交

2019年7月17日

首先提交符合 QC 标准的

2019年7月19日

首次发布 (实际的)

2019年7月22日

研究记录更新

最后更新发布 (实际的)

2020年4月1日

上次提交的符合 QC 标准的更新

2020年3月31日

最后验证

2019年7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

  • FSK002

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.

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医疗条件

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条件

罕见疾病

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