An artificial intelligence model for histopathological image analysis of small cell lung cancer (SCLC)

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2600127237

Enrollment

Unknown

Registered

2026-06-27

Start date

2026-07-04

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

Small cell lung cancer

Interventions

Gold Standard:International histopathological diagnostic criteria for small cell lung cancer.

Index test:Medical image classification method based on multi-scale feature fusion and Transformer

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1.Control group: histological pathology diagnosed as non-cancer, and the negative diagnostic ability of the model was verified. 2.Experimental group: cases diagnosed as primary small cell lung cancer (SCLC) by histopathology.

Exclusion criteria

Exclusion criteria: 1.Cases without clear histological evidence; 2.Non-primary malignant tumor cases; 3.Other subtypes of pulmonary malignancy; 4.Small cell lung cancer was diagnosed but the section lesion area was too small (the largest lesion site had less than 4 cancer cells aggregated);

Design outcomes

Primary

Measure	Time frame
Diagnostic coincidence rate ;	—

Secondary

Measure	Time frame
The rate of missed diagnoses in model diagnosis;	—

Countries

China

Contacts

Public ContactLiang Shumei

Guabgzhou First People‘s Hospital

leungsukmui@163.com+86 20 81045130

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jul 3, 2026