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Artificial Intelligence Multimodal Model-Assisted Identification of Sclerosing Pneumocytoma

Artificial Intelligence Multimodal Model-Assisted Identification of Sclerosing Pneumocytoma

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600120560
Enrollment
Unknown
Registered
2026-03-17
Start date
2026-04-01
Completion date
Unknown
Last updated
2026-03-23

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

Conditions

Sclerosing Pneumocytoma

Interventions

Observation group:none

Sponsors

The Affiliated Hospital of Xuzhou Medical University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Patients with pathologically confirmed PSP (sclerosing pneumocytoma); 2. Patients with completely resected and pathologically confirmed stage IA-IIIA lung adenocarcinoma; 3. Patients with completely resected and pathologically confirmed stage IA-IIIA pulmonary carcinoid; 4. Patients who underwent thin-section CT examination within 2 weeks prior to surgery.

Exclusion criteria

Exclusion criteria: 1. Lung malignancies with malignant CT features/signs; 2. Pure ground-glass nodules (pGGNs) and mixed ground-glass nodules (mGGNs); 3. Missing clinical, CT, or pathological data; 4. Lung cancer patients with evidence of distant metastasis.

Design outcomes

Primary

MeasureTime frame
Accuracy;—

Secondary

MeasureTime frame
Sensitivity;specificity;—

Countries

China

Contacts

Public ContactHao Zhang

The Affiliated Hospital of Xuzhou Medical University

zhanghao@xzhmu.edu.cn+86 177 9883 5177

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Apr 3, 2026