Skip to content

Based on multimodal CT, PET, radiomics and clinical features, deep learning technology was used to predict airway dissemination of subsolid nodules

Based on multimodal CT, PET, radiomics and clinical features, deep learning technology was used to predict airway dissemination of subsolid nodules

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500106940
Enrollment
Unknown
Registered
2025-07-31
Start date
2025-05-16
Completion date
Unknown
Last updated
2025-08-18

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

Conditions

lung cancer

Interventions

STAS+/STAS-: No

Sponsors

The First Medical Center, Chinese PLA General Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: (1) Single lesion accompanied by complete surgical resection; (2) CT and PET scans were performed within 3 months before the operation, and pulmonary function, blood routine and tumor marker tests were conducted one week before the operation. No treatment was received. (3) CT and PET images are clear and comprehensive, without artifacts. (4) Well-preserved pathological specimens suitable for STAS assessment.

Exclusion criteria

Exclusion criteria: (1) Multiple pulmonary lesions and solid nodules; (2) The CT and PET imaging were incomplete. There was no preoperative lung function, blood routine and tumor marker examination one week before the operation. (3) The pathological samples used for STAS assessment are insufficient. (4) Incomplete clinical data. (5) Patients with a history of other malignant tumors

Design outcomes

Primary

MeasureTime frame
Combined prediction AUC values;

Secondary

MeasureTime frame
Combined prediction Accuracy;Combined prediction Precision;Combined prediction Recall;Combined prediction F1-score;Combined prediction NPV;Combined prediction F1-score PPV;

Countries

China

Contacts

Public ContactWang Yuqi

The First Medical Center, Chinese PLA General Hospital

wyq301@qq.com+86 136 0127 9155

Outcome results

None listed

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