NCT03940846

CT-based Radiomic Signature Can Identify Adenocarcinoma Lung Tumor Histology

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 650 (estimated)
• Sponsor: Maastricht University · Academic / Other
• Sex: All
• Age: —
• Healthy volunteers: Not accepted

Summary

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.

Conditions

• Nonsmall Cell Lung Cancer

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Virtual biopsy	Radiomics -the high throughput extraction of quantitative features from medical imaging- extract features that might potentially decode biologic tumor information, which might ultimately reduce the need to use invasive procedure, such as tissue biopsy.

Timeline

• Start date: 2019-03-01
• Primary completion: 2020-10-31
• Completion: 2021-01-31
• First posted: 2019-05-07
• Last updated: 2020-04-06

Locations

1 site across 1 country: Netherlands