Ignite Creation Date:
2024-05-06 @ 8:13 PM
Last Modification Date:
2024-10-26 @ 3:22 PM
Study NCT ID:
NCT06290739
Status:
RECRUITING
Last Update Posted:
2024-03-04
First Post:
2024-02-26
Brief Title:
A Machine-learning Model to Predict Lymph Node Metastasis of Intrahepatic Cholangiocarcinoma
Sponsor:
West China Hospital
Organization:
West China Hospital
Study Overview
Official Title:
Development and Validation of a Machine-learning Model to Predict Lymph Node Metastasis of Intrahepatic Cholangiocarcinoma a Retrospective Cohort Study
Status:
RECRUITING
Status Verified Date:
2024-02
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 object of this study is to develop a model for prediction of lymph node metastasis among intrahepatic cholangiocarcinoma ICC patients Intrahepatic cholangiocarcinoma is the second most common kind of primary liver cancer accounting for approximately 10-15 There is a lack of agreement regarding the necessity of performing lymph node dissection LND in patients with ICC Currently the percentage of LND is below 50 and the rate of sufficient LND 6 has plummeted to less than 20 Consequently a large proportion of patients are unable to acquire LN status which hinders the following systematic treatment strategies after surgery Therefore our objective is to construct a LN metastasis model utilizing machine learning techniques including patients clinical data and pathology information with the goal of offering a reference for patients who have not undergone LND or have had inadequate LND
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