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临床试验/NCT03940846
NCT03940846Unknown不适用

CT-based Radiomic Signature Can Identify Adenocarcinoma Lung Tumor Histology

Maastricht University1 个研究点 分布在 1 个国家目标入组 650 人开始时间: 2019年3月1日最近更新:
适应症

试验速览

阶段
不适用
入组人数
650
试验地点
1
主要终点
Lung histology

研究概览

简要总结

Lung cancer remains the leading cause of cancer related mortality worldwide, with more than 1.5 million related deaths annually. Lung cancer is divided into two main groups: Small Cell Lung Carcinoma (SCLC) and Non-Small Cell Lung Carcinoma (NSCLC), with prevalence of ~20% and 80% respectively. NSCLC is further subdivided into adenocarcinoma (the most common), squamous cell carcinoma (SCC), and large cell carcinoma. Furthermore, each subtype is likely to have specific mutations, which could be targeted for treatment.

Medical imaging and radiomics feature extraction represent a candidate alternative to conventional tissue biopsy, a theory that is investigated in this study.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Retrospective

入排标准

性别
All
接受健康志愿者

入选标准

  • Availability of diagnostic non-contrast enhanced CT scan.
  • Availability of histologic tumor analysis results

排除标准

  • 未提供

结局指标

主要结局

Lung histology

时间窗: December 2019

Is the tumor under investigation an adenocarcinoma of the lung?

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

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