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.
Study Type
OBSERVATIONAL
Enrollment
3,000
To predict the invasiveness of patients with small-sized lung adenocarcinoma intraoperatively based on multi-modal information.
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Wuhan, Hubei, China
RECRUITINGFinal pathology diagnosis of the paraffin section stained with HE
The final pathology diagnosis after resection
Time frame: Immediately after operation
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