FindTrial
Sign In

Research on the rapid pathological diagnosis of lung nodules based on intraoperative tumor images and preoperative CT images based on deep learning

Research on the rapid pathological diagnosis of lung nodules based on intraoperative tumor images and preoperative CT images based on deep learning

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000037283
Enrollment
Unknown
Registered
2020-08-27
Start date
2020-10-01
Completion date
Unknown
Last updated
2020-10-13

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

Conditions

Lung Cancer

Interventions

Gold Standard:Pathological diagnosis
Index test:Rapid&#32
pathological&#32
diagnosis&#32
model&#32
based&#32
on&#32
deep&#32
learning&#32
of&#32
intraoperative&#32
tumor&#32
images&#32
and&#32
preoperative&#32
CT&#32
images.

Sponsors

Shanghai Chest Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Patients with pulmonary nodules.

Exclusion criteria

Exclusion criteria: Patients less than 6 weeks after major organ surgery.

Design outcomes

Primary

MeasureTime frame
Benign or Malignant Nodules;SEN, SPE, ACC, AUC of ROC;—

Countries

China

Contacts

Public ContactJia Huang

Shanghai Chest Hospital

dylan919@139.com+86 18017320257

Outcome results

None listed

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