Adenocarcinoma of Lung
Conditions
Keywords
ECV, invasion, lung adenocarcinoma, DECT
Brief 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.
Detailed 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.
Interventions
None listed
Sponsors
Tang-Du Hospital
Study design
Observational model
CASE_ONLY
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Acquire DECT parameters in patients with pulmonary nodules. | 2 years | 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). |
Other
| Measure | Time frame | Description |
|---|---|---|
| Acquire relative radiological features. | 2 years | Including consolidation tumor ratio (CTR), nodule's maximum diameter, spiculation, lobulation, fibrosis, distortion or cut-off of vessels and bronchi. |
Countries
China
Contacts
Primary ContactCui Guangbin, Professor
Outcome results
None listed