A Double Blind Observational Study to Validate the SpotitEarly Test for the Detection of Breast Cancer (The PINK Study)
Summary
The goal of this study is to find out whether a system that uses trained detection dogs and artificial intelligence (AI) can identify breast cancer from a person's breath. Women who are scheduled to have routine breast cancer screening, such as a mammogram, ultrasound, or a biopsy for a possible cancer, will be invited to take part. Participants will be asked to breathe into a surgical mask to collect a breath sample. The mask will be sent to a special laboratory, where trained dogs and an AI-based system will check the sample for signs of breast cancer. The results from the dogs and AI will be compared to the actual results from the medical screening or biopsy to see how accurate the system is at detecting breast cancer.
Arms & interventions
- Diagnostic TestBreath test
Breath sample collection using a sample collection kit
Outcome measures
Primary
Test Performance Evaluation
The test performance will be determined by analysis of the sensitivity and the specificity of the primary endpoint sample set, where sensitivity is the number of participants with a true positive result divided by the number of participants with a positive clinical diagnosis (positive biopsy), and specificity is the number of participants with a true negative result divided by the number of participants with a negative clinical diagnosis.
Time frame: 24 months
Secondary
Test Performance Evaluation in different subgroups
Time frame: 24 months
Test Performance in early-stage cancer
Time frame: 24 months
Test Performance in the clinic vs. at patients' home
Time frame: 24 months
Effect of psychological impacts on performance in the enriched arm
Time frame: 12 months
Eligibility criteria
Study locations (2)
Hackensack Meridian Health
Totowa, New Jersey, 07512
Hospital of the University of Pennsylvania
Philadelphia, Pennsylvania, 19104