Viewing Study NCT06469606



Ignite Creation Date: 2024-07-17 @ 11:01 AM
Last Modification Date: 2024-10-26 @ 3:32 PM
Study NCT ID: NCT06469606
Status: NOT_YET_RECRUITING
Last Update Posted: 2024-06-21
First Post: 2024-05-30

Brief Title: Study on Female Patients Mammographic Texture Features
Sponsor: Tampere University Hospital
Organization: Tampere University Hospital

Study Overview

Official Title: A Cohort Study on feMale Patients mammogRaphic texturE featureS the COMPRESS Trial
Status: NOT_YET_RECRUITING
Status Verified Date: 2024-06
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: COMPRESS
Brief Summary: Mammography is the most common method for breast imaging and it provides information for model building and analysis Radiomics applied to mammography has the potential to revolutionize clinical decision-making by providing valuable insights into risk assessment and disease detection Despite this the influence of imaging parameters and clinical and biological factors on radiological texture features remains poorly understood There is a pressing need to overcome the obstacle of system-inherent effects on mammographic images to facilitate the translation of radiological texture features into routine clinical practice by enabling reliable and robust AI-based or AI-aided decision-making Furthermore understanding the relationship between imaging parameters textural features and clinical and biological information supports the clinical use of AI The objective of this study is to evaluate AI methods for clinical practice and to study how it relates to clinical factors and biological features
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?: False
Is an FDA AA801 Violation?: None