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The use of artificial intelligence technology to detect pulmonary nodules and analysis their pathological feature

The use of artificial intelligence technology to detect pulmonary nodules and analysis their pathological feature

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300075777
Enrollment
Unknown
Registered
2023-09-15
Start date
2020-10-01
Completion date
Unknown
Last updated
2023-09-18

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

Conditions

Lung Nodule

Interventions

Gold Standard:Based on the pathological diagnosis of surgical resection of pulmonary nodules as the gold standard, it is divided into benign nodule group and malignant nodule group.300 cases
Index test:Extracting Imagomics features of pulmonary nodules by AI

Sponsors

The Second Affiliated Hospital of Anhui Medical University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: HRCT examination of the chest in our hospital revealed pulmonary nodules (diameter 1-3cm); No previous history of pulmonary nodule treatment or surgical procedures; Perform lung wedge resection or segmental resection within 1 month after HRCT examination; The postoperative pathological specimens are complete

Exclusion criteria

Exclusion criteria: Incomplete clinical, pathological, and imaging data; Individuals with a history of underlying diseases, malignant tumors, and signs of distant metastasis in the past; Poor HRCT image quality

Design outcomes

Primary

MeasureTime frame
Area Under Curve;sensitivity;specificity;accuracy;Positive predictive value;Negative predictive value;—

Countries

China

Contacts

Public ContactZhao Hong

The Second Affiliated Hospital of Anhui Medical University

178331090@qq.com+86 136 4551 4207

Outcome results

None listed

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