Lung Adenocarcinoma, Stage I
Conditions
Keywords
multi-modal information, lung adenocarcinoma, intraoperative diagnosis, invasiveness
Brief 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.
Interventions
DIAGNOSTIC_TESTInvasiveness diagnosis
To predict the invasiveness of patients with small-sized lung adenocarcinoma intraoperatively based on multi-modal information.
Sponsors
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
20 Years to 80 Years
Healthy volunteers
No
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Final pathology diagnosis of the paraffin section stained with HE | Immediately after operation | The final pathology diagnosis after resection |
Countries
China
Contacts
Primary ContactXueyun Tan, MD
Outcome results
None listed