Study on Female Patients' Mammographic Texture Features
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: AI tool.
- Who it may be relevant to
- Registry conditions: Breast Cancer, Artificial Intelligence, Mammography. Basic parameters: from 18 years · Female.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Finland
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Unsure about the terms? Read our patient guide →
Official title
A Cohort Study on feMale Patients' mammogRaphic texturE featureS: the COMPRESS Trial
Overview
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.
Interventions
- Device AI tool
Both the arms will undergo the use of "AI tool" developed in the group. The tool will be trained to detect outcomes.
Primary outcome measures
- Mammographic texture features [Time frame: Through study completion, an average of 5 year]
Secondary outcome measures (1)
- Biological features [Time frame: through study completion, an average of 10 year]
Eligibility criteria
Inclusion criteria
- Candidate is a biological female aged 18 years or above;
- Candidate is willing and able to give informed consent and gives their written consent for the participation in the study;
- There is a clinical indication for a uni- or bilateral mastectomy
Exclusion criteria
- Candidate lacks the capacity to provide informed consent;
- Candidate has breast implants
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Allocation
- Non-randomized
- Model
- Single group
- Masking
- Single blind
- Primary purpose
- Diagnostic
Study locations
Finland · 1 center
- Wellbeing Services County of Pirkanmaa — Tampere
Identifiers
NCT: NCT06469606 · R23077