Ignite Creation Date:
2024-05-06 @ 8:25 PM
Last Modification Date:
2024-10-26 @ 3:27 PM
Study NCT ID:
NCT06373029
Status:
NOT_YET_RECRUITING
Last Update Posted:
2024-04-18
First Post:
2024-04-15
Brief Title:
Deep-learning Enabled Ultrasound Diagnosis of Anterior Talofibular Ligament Injury
Sponsor:
Peking University Peoples Hospital
Organization:
Peking University Peoples Hospital
Study Overview
Official Title:
Deep Learning-enabled Ultrasound Classification of Anterior Talofibular Ligament Injury in China A Prospective Multicentre Diagnostic Study
Status:
NOT_YET_RECRUITING
Status Verified Date:
2024-04
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:
Ultrasound US is a more cost-effective accessible and available imaging technique to assess anterior talofibular ligament ATFL injuries compared with magnetic resonance imaging MRI However challenges in using this technique and increasing demand on qualified musculoskeletal MSK radiologists delay the diagnosis The investigators have already developed a deep convolutional network DCNN model that automates detailed classification of ATFL injuries The investigators hope to use the DCNN in real-world clinical setting to test its diagnostic accuracy
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