Trials / Unknown
UnknownNCT05736991
Deep Learning Signature for Predicting the Novel Grading System of Clinical Stage I Lung Adenocarcinoma
Deep Learning Signature Based on PET-CT Images for Predicting the Novel Grading System of Clinical Stage I Lung Adenocarcinoma
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 600 (estimated)
- Sponsor
- Shanghai Pulmonary Hospital, Shanghai, China · Academic / Other
- Sex
- All
- Age
- 20 Years – 75 Years
- Healthy volunteers
- Accepted
Summary
The purpose of this study is to evaluate the performance of a PET/ CT-based deep learning signature for predicting the grade 3 tumors based on the novel grading system in clinical stage stage I lung adenocarcinoma based on a multicenter prospective cohort.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DIAGNOSTIC_TEST | PET/CT-based Radiomics Signature | Radiomics Signature Based on PET-CT for Predicting the Novel Grading System of Clinical Stage I Lung Adenocarcinoma |
Timeline
- Start date
- 2022-11-01
- Primary completion
- 2023-04-30
- Completion
- 2023-04-30
- First posted
- 2023-02-21
- Last updated
- 2023-02-21
Locations
4 sites across 1 country: China
Source: ClinicalTrials.gov record NCT05736991. Inclusion in this directory is not an endorsement.