Ignite Creation Date:
2024-05-06 @ 7:11 PM
Last Modification Date:
2024-10-26 @ 3:02 PM
Study NCT ID:
NCT05925764
Status:
RECRUITING
Last Update Posted:
2023-06-29
First Post:
2023-05-12
Brief Title:
WSI Based DL for Diagnosing the IASLC Grading System of Lung Adenocarcinoma
Sponsor:
Shanghai Pulmonary Hospital Shanghai China
Organization:
Shanghai Pulmonary Hospital Shanghai China
Study Overview
Official Title:
Whole Slide Image Based Deep Learning for Diagnosing the International Association for the Study of Lung Cancer Proposed Grading System of Lung Adenocarcinoma
Status:
RECRUITING
Status Verified Date:
2024-10
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 whole slide image based deep learning model for diagnosing the IASLC grading system in resected lung adenocarcinoma based on a multicenter prospective cohort
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