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AI-Driven Diagnostic Assistant Model for Early-Stage Lung Adenocarcinoma Using Frozen Section (CryoPathAI-Lung)

AI-Driven Diagnostic Assistant Model for Early-Stage Lung Adenocarcinoma Using Frozen Section (CryoPathAI-Lung)

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500112422
Enrollment
Unknown
Registered
2025-11-13
Start date
2024-11-26
Completion date
Unknown
Last updated
2025-11-17

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

Conditions

Lung cancer

Interventions

Invasive adenocarcinoma:None
MIA:None
AIS:None

Sponsors

Guangdong Provincial People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 18 Years

Inclusion criteria

Inclusion criteria: 1. Pathologically confirmed as lung adenocarcinoma patients. 2. Clinical stage I-II (TNM 9th edition). 3. Pathologically confirmed as AIS, MIA, or IAC. 4. Age between 18 and 80 years. 5. Frozen section images are available. 6. **Complete clinical data available.**

Exclusion criteria

Exclusion criteria: 1. Frozen section image quality control failed. 2. History of previous radiotherapy, chemotherapy, or targeted therapy for cancer. 3. No frozen pathology results available.

Design outcomes

Primary

MeasureTime frame
Sensitivity;Specificity;Concordance rate;—

Countries

China

Contacts

Public ContactZhou Haiyu

Guangdong Provincial People's Hospital

zhouhaiyu@gdph.org.cn+86 137 1034 2002

Outcome results

None listed

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