Prospective Observational Study for Breast Microcalcifications' Classification With Artificial Intelligence Techniques
1 other identifier
observational
1,426
1 country
1
Brief Summary
Breast microcalcifications are a common mammographic finding. Microcalcifications are considered suspicious signs of breast cancer and a breast biopsy is required, however, cancer is diagnosed in only a few patients. Reducing unnecessary biopsies and rapid characterization of breast microcalcifications are unmet clinical needs. This study intends to implement a classification method for breast microcalcifications (as begnin or malign) with Artificial Intelligence techniques on mammographic images, evaluating the diagnostic performance (accuracy) of this approach. Another aim is the development of a diagnostic tool able to determining in-situ the biomolecular characteristics of microcalcifications. Raman spectroscopy (RS) is a highly specific method from the biomolecular point of view and it is able to explore molecular composition of a given sample through its direct irradiation (through laser light) and the simultaneous acquisition of emission signals. RS information could be combined togheter with imaging features to implement an AI model for the combined classification of breast microcalcifications
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jul 2022
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 22, 2022
CompletedFirst Submitted
Initial submission to the registry
March 2, 2023
CompletedFirst Posted
Study publicly available on registry
March 14, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 25, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
July 25, 2028
ExpectedAugust 27, 2025
July 1, 2025
3 years
March 2, 2023
August 25, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Artificial Intellicence method for classification
Classification method of breast microcalcifications with Artificial Intelligence techniques on mammography images
36 months
Secondary Outcomes (2)
Radiological features extraction
36 months
Artificial Intellicence method for combined classification
36 months
Eligibility Criteria
Breast patological patients who experience microcalcification lesion
You may qualify if:
- Female subjects;
- Age between 18 and 88 years;
- Detection of microcalcifications on clinical and screening mammography with or without indication for histological assessment by biopsy;
- Subjects who agree to participate in the study by signing and dating the Informed Consent form
You may not qualify if:
- Personal history of breast cancer
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Istituti Clinici Scientifici Maugeri SpA
Pavia, Lombardy, 27100, Italy
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
March 2, 2023
First Posted
March 14, 2023
Study Start
July 22, 2022
Primary Completion
July 25, 2025
Study Completion (Estimated)
July 25, 2028
Last Updated
August 27, 2025
Record last verified: 2025-07