Ignite Creation Date:
2025-12-24 @ 11:45 PM
Ignite Modification Date:
2026-01-03 @ 4:34 AM
Study NCT ID:
NCT05925751
Status:
UNKNOWN
Last Update Posted:
2023-06-29
First Post:
2023-05-12
Is NOT Gene Therapy:
True
Has Adverse Events:
False
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:
Study Overview
Official Title:
An Integration of a Computed Tomography/Positron Emission Tomography/Whole Slide Image (CT/PET/WSI) Based Deep Learning Signature for Predicting Complete Pathological Response to Neoadjuvant Chemoimmunotherapy in Non-small Cell Lung Cancer: A Multicenter Study
Status:
UNKNOWN
Status Verified Date:
2023-06
Last Known Status:
RECRUITING
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 CT/PET/ 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:
False
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?: