stage IA invasive lung adenocarcinoma
Conditions
Interventions
Index test:A deep neural network model
Sponsors
West China Hospital of Sichuan University
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: Patients with primary invasive lung adenocarcinoma who underwent complete resection in the Department of Thoracic Surgery, West China Hospital, Sichuan University from November 2017 to October 2023 were retrospectively analyzed. (1) Age =18 years (2) Stage IA invasive lung adenocarcinoma was confirmed by postoperative pathology (3) Postoperative pathology reported STAS status (4) Thin-slice CT imaging data were found within 1 month before surgery (5) Chest CT image tumor diameter =3cm
Exclusion criteria
Exclusion criteria: (1) Multiple lung cancer nodules (2) Previous ipsilateral lung surgery history (3) Previous history of lung tumor disease (4) Previous/current history of other systemic malignancies (5) Preoperative neoadjuvant therapy (6) Preoperative pathological biopsy was performed (7) Pathological sections are not suitable for STAS detection (8) Poor image quality or images cannot be used for modeling (9) Incomplete clinical information (10) mucinous carcinoma or mucinous adenocarcinoma
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| AUC;sensitivity/recall;specificity;balanced accuracy;precision/PPV;NPV;MCC; | — |
Countries
China
Contacts
Public ContactJiandong Mei
West China Hospital of Sichuan University
Outcome results
None listed