NCT05542992

Deep Learning Model for Pure Solid Nodules Classification

Deep Learning Model Supplementary PET-CT as a More Effectively Diagnostic Method for Pure Solid Nodules Classification: a Multicenter Observational Study

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 260 (estimated)
• Sponsor: Chang Chen · Academic / Other
• Sex: All
• Age: 18 Years – 75 Years
• Healthy volunteers: Not accepted

Summary

The purpose of this study is to compare the predictive performance of a CT-based deep learning model for pure-solid nodules classification and compared with the tumor maximum standardized uptake value on PET in a multicenter prospective cohort.

Conditions

• Lung Cancer

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	CT-based deep learning model	CT-based deep learning model for pure-solid nodules classifications

Timeline

• Start date: 2022-01-01
• Primary completion: 2023-12-31
• Completion: 2023-12-31
• First posted: 2022-09-16
• Last updated: 2022-09-16

Locations

5 sites across 1 country: China