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Research on Predicting Diagnosis and Treatment of Non-Small Cell Lung Cancer Patients Based on Multimodal Deep Learning Models

Research on Predicting Diagnosis and Treatment of Non-Small Cell Lung Cancer Patients Based on Multimodal Deep Learning Models

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500113621
Enrollment
Unknown
Registered
2025-12-01
Start date
2025-12-01
Completion date
Unknown
Last updated
2025-12-08

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

Conditions

Lung adenocarcinoma

Interventions

Experimental Group (High-risk pathological factors):None
Control group:None

Sponsors

Northern Jiangsu People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: 1. The pathological diagnosis is confirmed after surgical resection, with a clear pathological subtype; 2. The pathological diagnosis is benign nodules, and the malignant nodules are non-small cell lung cancer; 3. Complete CT imaging data within 1 month before surgery are available; 4. There is >= 1 pulmonary nodule undergoing surgical intervention, and the maximum diameter of the nodule is <= 3 cm; 5. The pulmonary nodules have not received anti-tumor treatment such as radiotherapy or chemotherapy before surgery.

Exclusion criteria

Exclusion criteria: 1. Patients with incomplete medical records or imaging data; 2. Patients whose imaging images do not meet the conditions for imaging analysis due to significant respiratory motion artifacts; 3. Patients whose imaging images interfere with the conditions for imaging analysis due to complicated pulmonary infection; 4. Patients with unclear corresponding relationship between the nodule location in the postoperative pathological report and that in the preoperative imaging; 5. Patients with a history of other malignant tumors.

Design outcomes

Primary

MeasureTime frame
STAS;Progression Free Survival, PFS;

Secondary

MeasureTime frame
Overall survival, OS;

Countries

China

Contacts

Public Contactyang wenlong

Northern Jiangsu People's Hospital

ywl15705275014@163.com+86 755 1234567

Outcome results

None listed

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