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Application of deep learning in multi-modal medical imaging intelligent diagnosis of peripheral lung cancer and construction of clinical decision support system

Research on multi-modal medical image intelligent recognition and clinical decision support system for subpleural pulmonary space-occupying lesions based on artificial intelligence

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300078539
Enrollment
Unknown
Registered
2023-12-12
Start date
2023-12-12
Completion date
Unknown
Last updated
2023-12-19

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

Conditions

Peripheral lung cancer

Interventions

Gold Standard:Pathological results
Index test:Multimodal radiomics combined with machine learning methods

Sponsors

Depariment of Ultrasound, Tongji Hospital, Tongji Medical University, Huazhong University of Science and Technology, Wuhan, China
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 85 Years

Inclusion criteria

Inclusion criteria: 1. There is solid subpleural mass; 2. Have pathological results; 3. Have undergone laparoscopic surgery or thoracotomy; 4. The imaging and clinical data are complete.

Exclusion criteria

Exclusion criteria: 1. Ultrasound cannot show the lesion; 2. The renal lesions have been treated before imaging examination; 3. Suffering from other diseases that affect the test results, such as mental illness.

Design outcomes

Primary

MeasureTime frame
Ultrasound imaging features;CT radiomic characteristics;—

Secondary

MeasureTime frame
clinical serological parameters;—

Countries

China

Contacts

Public ContactXinwu Cui

Tongji Hospital Affiliated to Tongji University

cuixinwu@live.cn+86 159 2710 3161

Outcome results

None listed

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