Improving the Intraoperative Diagnosis Accuracy of Invasiveness for Small-sized Lung Adenocarcinoma

Improving the Intraoperative Diagnosis Accuracy for Pre-invasive and Invasive Small-sized Lung Adenocarcinoma Node by Combining Multi-modal Information

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.

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