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Constructing a deep learning model for determining the nature of ground glass nodules in the lungs based on multi-omics features: a prospective, single-center clinical study

Constructing a deep learning model for determining the nature of ground glass nodules in the lungs based on multi-omics features: a prospective, single-center clinical study

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100044999
Enrollment
Unknown
Registered
2021-04-03
Start date
2021-06-01
Completion date
Unknown
Last updated
2021-11-02

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

Conditions

subsolid nodules

Interventions

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Sponsors

Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1. Aged 18-75 years, gender is not limited; 2. Patients who plan to undergo complete resection of lung nodules or needle biopsy in our hospital; 3. Preoperative thin-slice CT examination found that the diameter of subsolid nodules of a single lung is <= 3cm ; 4. No history of malignant tumors in the past 5 years, and no neoadjuvant treatment before surgery; 5. No distant metastasis or patients with pleural and ascites found in preoperative evaluation; 6. The pathological diagnosis was clear after surgery; 7. Voluntary to sign the informed consent.

Exclusion criteria

Exclusion criteria: 1. Imaging examination cannot be performed due to pregnancy, breastfeeding, etc.; 2. No thin-slice CT examination records in the clinical center receiving treatment at the time of enrollment evaluation; 3. With a history of lung infection one month before enrollment; 4. Have received blood transfusion treatment one month before enrollment, or have a history of alcohol or drug abuse; 5. Patients who cannot obtain enough blood samples (>=12ml); 6. Any conditions that are not suitable for blood sampling, such as anemia, fever, low autoimmunity, insufficiency of blood coagulation, etc.; 7. Patients with autoimmune diseases, blood system diseases, and infectious diseases.

Design outcomes

Primary

MeasureTime frame
Accuracy;

Secondary

MeasureTime frame
Area under receiver operating curve (AUC);Sensitivity;Specificity;

Countries

China

Contacts

Public ContactChen Chang

Shanghai Pulmonary Hospital Affiliated to Tongji University

1151697503@qq.com+86 19916941894

Outcome results

None listed

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