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Research on Artificial Intelligence for Intraoperative Pathological Diagnosis of Lung Adenocarcinoma

Research and Application of an Intelligent Recognition Model for Invasive Lesions in Intraoperative Frozen Sections of Lung Adenocarcinoma

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600117941
Enrollment
Unknown
Registered
2026-01-30
Start date
2026-02-01
Completion date
Unknown
Last updated
2026-02-02

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

Conditions

Pulmonary minimally invasive adenocarcinoma (MIA)

Interventions

Gold Standard:Pathology diagnosis by a senior pathologist
Index test:Develop an AI model for intraoperative pathology diagnosis based on whole-slide imaging (WSI) to identify invasive adenocarcinoma lesions in frozen-section WSIs, perform histopathological s

Sponsors

Huzhou Center Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: 1. Patients who underwent lung surgery at Huzhou Central Hospital after January 1, 2020; 2. with intraoperative rapid pathology diagnostic records and archived pathology slides.

Exclusion criteria

Exclusion criteria: 1.none;

Design outcomes

Primary

MeasureTime frame
Sensitivity;Negative Predictive Value;—

Secondary

MeasureTime frame
ROC-AUC;Precision Recall -AUC;—

Countries

China

Contacts

Public ContactDonghua Gu

Huzhou Center Hospital

13857292103@163.com+86 572 2555233

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 7, 2026