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Radiomics-based predictive modeling of visceral pleural invasion in early stage lung adenocarcinoma

Radiomics-based predictive modeling of visceral pleural invasion in early stage lung adenocarcinoma

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500105640
Enrollment
Unknown
Registered
2025-07-08
Start date
2024-03-01
Completion date
Unknown
Last updated
2025-07-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Lung adenocarcinoma

Interventions

Gold Standard:The classification was conducted according to the International Association for the Study of Lung Cancer (IASLC) Lung Cancer Staging Manual, Eighth Edition, dividing into PL0 (no tumor i
Index test:The model was built and then the following metrics were used to evaluate the model: Akaike information criterion (AIC) and Bayesian Information Criterion (BIC) were employed to gauge the ef

Sponsors

The First People's Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: (1) Histologically verified invasive lung adenocarcinoma with pleural invasion assessment; (2) Clinical T1 staging of the tumor; (3) Undergoing preoperative plain CT scans; (4) Presence of one or more of the following on CT scans: contact with the pleura, pleural retraction, or pleural tags, with pleural tags defined according to previous literature.

Exclusion criteria

Exclusion criteria: (1) Incomplete clinical, CT, or pathological records; (2) Cases of glandular precursor lesions or minimally invasive adenocarcinomas; (3) Confirmation of multiple primary lung cancers (2) either surgically or pathologically; (4) Prior treatments such as chemotherapy, radiation therapy, or biopsies; (5) A history of lung or other malignancies; (6) Lack of thin-section CT scans (reconstruction layer thickness = 1mm) within two weeks prior to surgery; (7) Significant respiratory motion artifacts on the scans.

Design outcomes

Primary

MeasureTime frame
the area under the receiver operating characteristics (ROC) curve (AUC);

Secondary

MeasureTime frame
accuracy;sensitivity;specificity;

Countries

China

Contacts

Public ContactHao Dong

The First People's Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou

donghao88828@163.com+86 189 6714 6398

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026