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
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
3,000 participants
Jan 1, 2023
OBSERVATIONAL
Conditions
Summary
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
Plain Language Summary
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Interventions
To predict the invasiveness of patients with small-sized lung adenocarcinoma intraoperatively based on multi-modal information.
Locations(1)
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NCT05830812