POC Medical Systems has developed a Point of Care system for the screening of breast cancer in the general population. Via a proprietary algorithm, the MammoAlert™ is expected to determine breast cancer's risk level for a subject by identifying the presence in plasma of known biomarkers. The present study aims to determine the Sensitivity and Specificity of the test in plasma samples of subjects of whom the status vis-à-vis breast cancer is known.
2400 subjects will be screened for breast cancer in seven enrolling sites across the country to ensure diverse ethnicity. "Positive" subjects should be confirmed breast cancer positive by Mammography and/or biopsy. Breast cancer positive samples will be compared to the control group of samples obtained from women attending clinics for non-cancerous related pathology. Both Positive and Negative Predictive Values will be evaluated to determine accuracy and sensitivity of the screening test. Subjects whose known cancer positive or negative status do not match the test report will be followed up as appropriate, on case by case basis to identify false positive and false negative results.
Study Type
OBSERVATIONAL
Enrollment
2,458
Plasma obtained from blood samples will be analyzed with the MammoAlert Screening Test for the presence of known breast cancer bio-markers.
KIMS USHALAKSHMI Centre for Breast Diseases KIMS Hospitals
Hyderabad, Andhra Pradesh, India
Indo American Cancer Hospital and Research Institute
Hyderabad, Andhra Pradesh, India
HCG MULTI Specialty Hospital HCG Cancer Center
Ahmedabad, Gujarat, India
Manipal Hospital
Bangalore, Karnataka, India
Screening performance (i.e., sensitivity and specificity)
Screening performance: comprises the sensitivity and specificity of MammoAlert™. It represents the performance of the diagnostic test and is therefore independent of the prevalence of the disease in the studied sample of patients.
Time frame: Screening performance will be calculated at 4-months
Predictive values & likelihood ratios
Positive predictive value: the probability that a subject has the disease given that the test result is positive will be estimated by: TP/(TP+FP). Negative predictive value: the probability that a subject does not have the disease given that the result of the test is negative will be estimated by TN/(TN+FN). Likelihood ratio (LR): the likelihood that a given test result would be expected in a patient with the target disorder compared to the likelihood that that same result would be expected in a patient without the target disorder.
Time frame: Predictive values & likelihood ratios will be calculated at 4-months
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Amrita Institute of Medical Sciences and Research Centre
Kochi, Kerala, India
Tata Medical Center
Kolkata, West Bengal, India
Maulana Azad Medical College University of Delhi & Associated Lok Nayak Hospital
New Delhi, India