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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT06441357
Other study ID # TDFS20240328
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date June 1, 2024
Est. completion date June 30, 2026

Study information

Verified date May 2024
Source Tang-Du Hospital
Contact Cui Guangbin, Professor
Phone 18992898517
Email cgbtd@126.com
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

The core purpose of this study is to investigate whether the extracellular volume (ECV) fraction measured in delay phase by dual energy computed tomography (DECT) can distinguish precancerous lesions from early-stage lung adenocarcinomas, which could assist clinical decision making for surgery operation indication and strategy.


Description:

Although progression of lung adenocarcinoma (LUAD) depends on driver mutations, it is also affected by tumor microenvironment (TME), including vessels, immune cells and extracellular matrix (ECM). As major constituent of TME, ECM mediates interactions between cancer cells and stromal cells, promotes angiogenesis, epithelial-mesenchymal transition, causes metastasis and resistance to immune therapy. Along with the progression of LUAD histologic stages, from atypical adenomatous hyperplasia (AAH) and adenocarcinoma in situ (AIS) to minimally invasive adenocarcinoma (MIA), and finally to invasive adenocarcinoma (IA), the composition of the ECM changes a lot, which has some characterizations same as interstitial pulmonary fibrosis. Hence, identifying the pathological ECM status may help differentiating the invasiveness of lung adenocarcinomas. Based on the theory that in delay phase, the contrast medium is evenly distributed in the intravascular and extravascular-extracellular spaces and not entering the cell, extracellular volume (ECV) fraction is considered as a potential quantitative imaging parameter for ECM. It has been confirmed that ECV fraction is highly consistent with pathological fibrosis in cardiac and hepatic diseases. In other lesions with fibrosis such as pancreatic and thymic epithelial tumors, ECV fraction also has positive effects in malignancy prediction. It has been verified that ECV fraction is capable of differentiating lung cancer with benign lung lesions and classifying lung cancers into three subtypes. However, there has yet no study testified it as an invasion predictor. The core purpose of this study is to investigate whether ECV fraction can distinguish precancerous lesions from early-stage lung adenocarcinomas and compare it with other confirmed radiological features in prediction performance, which is clinically meaningful regarding optimal treatment selection and avoidance of unnecessary surgical procedures.


Recruitment information / eligibility

Status Recruiting
Enrollment 2000
Est. completion date June 30, 2026
Est. primary completion date December 30, 2025
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: - patients older than 18 years old with pulmonary nodules (diameter=3 cm). - pathologically confirmed as lung adenocarcinoma. - without history of other malignancies. - accurate hematocrit within 1 week before contrast enhanced dual energy CT examination. Exclusion Criteria: - with a history of allergy to iodine contrast agents and other reasons who are unable to complete the examination. - without histopathology of invasion stage, such as AAH, AIS, MIA and IAC. - history of chemotherapy, radiotherapy, or other anti-tumor therapy before contrast enhanced dual energy CT. - poor image quality. - contrast enhanced dual energy CT scans = 4 weeks before surgery.

Study Design


Related Conditions & MeSH terms


Locations

Country Name City State
China Tangdu Hospital Xi'an Shaanxi

Sponsors (1)

Lead Sponsor Collaborator
Tang-Du Hospital

Country where clinical trial is conducted

China, 

Outcome

Type Measure Description Time frame Safety issue
Other Acquire relative radiological features. Including consolidation tumor ratio (CTR), nodule's maximum diameter, spiculation, lobulation, fibrosis, distortion or cut-off of vessels and bronchi. 2 years
Primary Acquire DECT parameters in patients with pulmonary nodules. Including iodine concentration (IC) in delay phase, normalized IC (NIC), effective atomic number (Zeff), and CT attenuation values of nodules from virtual monochromatic images (VMIs) (energy range from 40 to 150 keV, 10keV as interval). 2 years
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