Overview
The goal of this observational study is to improve the intraoperative diagnosis accuracy of invasiveness for small-sized lung adenocarcinoma by combining multi-modal information. The main question it aims to answer is whether multi-modal information have great value of prediction on the invasiveness for small-sized lung adenocarcinoma. Since a promising limited resection is largely based on intraoperative frozen section diagnosis, there is a growing demand on the high-accuracy of timely pathology diagnosis. The multi-modal information of participants will be collected retrospectively.
Eligibility
Inclusion Criteria:
CT examination within 3 months before surgery Patients with operable clinical stage I lung
cancer No previous treatment in the lungs or any other organ
≥ 20 years and ≤ 80 years old Tumor less than 3cm in diameter on thin-slice (0.625-1 mm) CT
images Lung adenocarcinoma confirmed by surgical resection and histopathological diagnosis
Exclusion Criteria:
Marked artifacts on CT images History of preoperative treatment Incomplete clinical
information or DICOM images History of other malignant tumors Lung cancer associated with
cystic airspaces