Ignite Creation Date:
2024-05-06 @ 8:06 PM
Last Modification Date:
2024-10-26 @ 3:20 PM
Study NCT ID:
NCT06258044
Status:
COMPLETED
Last Update Posted:
2024-02-14
First Post:
2024-01-04
Brief Title:
The Application Value of Deep Learning-Based Nomograms in Benign-Malignant Discrimination of TI-RADS Category 4 Thyroid Nodules
Sponsor:
Ma Zhe
Organization:
Qianfoshan Hospital
Study Overview
Official Title:
The Application Value of Deep Learning-Based Nomograms in Benign-Malignant Discrimination of TI-RADS Category 4 Thyroid Nodules
Status:
COMPLETED
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:
This retrospective study focuses on benign and malignant classification of thyroid nodules using deep learning techniques and evaluates the value of deep learning based nomograms in the classification of TI-RADS category 4 thyroid nodules to improve the accuracy of benign and malignant identification of TI-RADS category 4 thyroid nodules
Materials and methods Patients who visited in The First Affiliated Hospital of Shandong First Medical University Shandong Provincial Qianfoshan Hospital were collected Their general clinical features information on preoperative ultrasound diagnosis and postoperative pathologic data were reviewed
Materials and methods Patients who visited in The First Affiliated Hospital of Shandong First Medical University Shandong Provincial Qianfoshan Hospital were collected Their general clinical features information on preoperative ultrasound diagnosis and postoperative pathologic data were reviewed
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