Clinical trial · Interventional
Study on Female Patients' Mammographic Texture Features
A Cohort Study on feMale Patients' mammogRaphic texturE featureS: the COMPRESS Trial
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (3)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Artificial Intelligence | — | UNRESOLVED | — |
| Breast Cancer | Malignant Breast Neoplasm | CURATED_EXACT | 0.92 |
| Mammography | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| AI tool | Device | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- type
- EXPERIMENTAL
- label
- Participant diagnosed with breast cancer
- description
- Participants diagnosed with breast cancer who will undergo a mastectomy operation
- interventionNames
- Device: AI tool
- type
- EXPERIMENTAL
- label
- Participant not diagnosed with breast cancer
- description
- Participants who will undergo a mastectomy operation for a non-breast cancer related clinical indication
- interventionNames
- Device: AI tool
Primary outcomes (1)
- measure
- Mammographic texture features
- timeFrame
- Through study completion, an average of 5 year
Eligibility
Eligibility (as posted)
- Sex
- Female
- Minimum age
- 18 Years
Show eligibility criteria text
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
References
Publications (0)
Data not yet available