Ignite Creation Date:
2024-05-06 @ 7:11 PM
Last Modification Date:
2024-10-26 @ 3:02 PM
Study NCT ID:
NCT05925751
Status:
RECRUITING
Last Update Posted:
2023-06-29
First Post:
2023-05-12
Brief Title:
Deep Learning Signature for Predicting Complete Pathological Response to Neoadjuvant Chemoimmunotherapy in Non-small Cell Lung Cancer
Sponsor:
Shanghai Pulmonary Hospital Shanghai China
Organization:
Shanghai Pulmonary Hospital Shanghai China
Study Overview
Official Title:
An Integration of a Computed TomographyPositron Emission TomographyWhole Slide Image CTPETWSI Based Deep Learning Signature for Predicting Complete Pathological Response to Neoadjuvant Chemoimmunotherapy in Non-small Cell Lung Cancer A Multicenter Study
Status:
RECRUITING
Status Verified Date:
2023-06
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
The purpose of this study is to evaluate the performance of a CTPET WSI-based deep learning signature for predicting complete pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None