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A retrospective case study clinical study to explore the image analysis capability of Gen-AI on CT images of patients with lung diseases

A retrospective case study clinical study to explore the image analysis capability of Gen-AI on CT images of patients with lung diseases

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400094818
Enrollment
Unknown
Registered
2024-12-27
Start date
2024-07-30
Completion date
Unknown
Last updated
2025-01-06

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

Conditions

Lung Neoplasms

Interventions

Patients with lung disease:None

Sponsors

Zhujiang Hospital, Southern Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: Inclusion criteria for malignant tumor lesions: (1) Male or female, 30 years 38°C/10mg/l, white blood cell count >10g/l, percentage of neutrophils >85%) on a baseline basis; Normal lung imaging images: (1) Male or female, 30 years <= age <= 80 years; (2) A single session has been done with chest spiral CT scanning + post-scanning enhancement (thin layer <= 1mm), suggesting no obvious abnormalities in chest CT;

Exclusion criteria

Exclusion criteria: (1) CT examination is used only for performing guided thoracentesis without continuous image layers; (2) No thin-layer CT images; (3) No pathologic diagnosis or pathologic diagnosis name with words such as non-primary lung cancer or benign lesion; (4) Laboratory results consistent with respiratory symptoms and infections associated with pneumonia are not met

Design outcomes

Primary

MeasureTime frame
AUC;

Secondary

MeasureTime frame
Sensitivity;Specificity;Accuracy;

Countries

China

Contacts

Public ContactWei Ting

Zhujiang Hospital, Southern Medical University

weitingyouyou@qq.com+86 150 8673 1877

Outcome results

None listed

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