Neoplasms Clinical Trial
Official title:
Radiomics and Clinical Variables Can Differentiate Malignant Nodules and Detect Invasive Adenocarcinoma in Pulmonary Nodules: a Multi-center Study
The investigators aim to investigate the utility of radiomics to differentiate malignant nodules from benign nodules and invasive adenocarcinoma from non-invasive adenocarcinoma.
With the development of computed tomography (CT) equipment and the increasing use of lung
cancer screening programs with low-dose CT, a growing number of early-stage lung cancers were
detected so that a large number of patients have undergone surgery.
Although a number of radiological studies have been used morphological signs so-called
semantic features to make a differential diagnosis, it is still hard to apply by clinician
because pulmonary nodules especially ground-glass nodules and small size nodules have
atypical radiology signs and have strong subjectivity from different observers. Recently,
CT-based radiomics, extracting the quantitative high-throughput features from medical images
and facilitating clinical decision-making system, showed a good performance to predict
diagnosis and prognosis of diverse cancer.
Therefore, the proposed project aims to develop and validate radiomics models based on CT
images to identify malignant nodules and then to discriminate the different types of lung
adenocarcinoma in patients with pulmonary nodules.
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