Clinical Pre-Market, Observational, Prospective, Blinded, Controlled, Single-Center Study to Assess the Safety and Performance of Kenko Breast AI+ Medical Device as an Aid to Breast Cancer Diagnosis in Adult Women
Trial Snapshot
- Phase
- Not Applicable
- Status
- Recruiting
- Sponsor
- Enrollment
- 200
- Locations
- 2
Study Overview
Brief Summary
The goal of this observational study is to learn whether a new medical software tool called Kenko Breast AI+ can help healthcare professionals read breast magnetic resonance imaging (MRI) scans better to help diagnose breast cancer. The study includes adult women who may have breast cancer or who are being followed for the disease.
The main questions it aims to answer is:
- Does Kenko Breast AI+ help healthcare professionals find possible signs of breast cancer more accurately and efficiently when they read MRI scans?
- Does using the software cause any safety problems or software-related issues during the study?
Researchers will compare MRI readings done with the software to readings done without it.
Participants will attend their regularly scheduled breast MRI appointment. All diagnoses are based on standard medical care, not on the study software.
Detailed Description
This clinical investigation is a study designed to assess the safety, diagnostic performance, and usability of Kenko Breast AI+, a medical device software intended to support breast cancer diagnosis using breast MRI.
The study is includes adult women who undergo breast MRI as part of routine clinical care for suspected breast cancer or oncological surveillance. The study does not alter standard clinical management and does not introduce additional diagnostic or therapeutic procedures.
Independent radiologist readers assess MRI examinations either with or without assistance from Kenko Breast AI+. Each MRI case is evaluated once per reader during the first assessment phase and reassessed after a washout period using the alternate method. The sequence of assessments and reader allocation is randomized. Reader assessments are compared with a reference diagnosis established according to routine clinical practice.
MRI datasets acquired during routine care are reviewed for technical quality, pseudonymized at the study site, and uploaded to both the investigational software platform and the site's picture archiving and communication system (PACS). Readers access the assigned cases through the appropriate platform according to randomization. After study completion, readers complete usability evaluations of the investigational device.
The study is conducted in accordance with ISO 14155:2020, Good Clinical Practice, and applicable regulatory requirements (EU Medical Device Regulation 2017/745). Quality assurance measures include site qualification and initiation, staff training, predefined workflows, and documented delegation of responsibilities.
Study Design
- Study Type
- Observational
- Observational Model
- Cohort
- Time Perspective
- Prospective
Eligibility Criteria
- Ages
- 18 Years to — (Adult, Older Adult)
- Sex
- Female
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- •Women with suspected breast cancer or under surveillance for the disease who have undergone MRI including perfusion (DCE-MRI), diffusion (DTI-MRI) and T2 sequences, performed for the purposes of:
- •Assessment of response to neoadjuvant therapy,
- •High suspicion of breast cancer, or
- •For participants who have undergone MRI for follow-up purposes, prior breast MRI data collected at the most 12 months before the screening visit must be available.
- •Women age 18 and older.
- •Adult women able to understand the informed consent and participant information sheet and provide voluntary consent for the study.
Exclusion Criteria
- •Pregnant women.
- •Individuals with incomplete or invalid perfusion, diffusion or T2 MRI sequences.
- •Individuals for whom MRI is contraindicated or not feasible.
Arms & Interventions
Participants
Adult women with suspected breast cancer or under surveillance for the disease
Intervention: Kenko Breast AI+ (Device)