PhiΦ Breast New Diagnostic Techniques for Breast Cancer Detection

Abstract

Today, breast cancer is one of the most aggressive cancers in women and new cases continue to increase worldwide.In order to reduce mortality we need to detect this life threatening disease at an earlier stage. We have conducted a study for the identification and characterization of suspicious breast lesions using a new diagnostic technique applied to ultrasonography and mammography called "PhiΦBreast." Identification and characterization of category C4-C5 lesions of the breast with high Predictive Positive PPV value, with a new innovative method called "PhiΦBreast" using the Golden Ratio (Phi, or Φ 1.618...) Fibonacci sequence and a Predictive Algorithm, applied to the ultrasonography and mammography with subsequent deepening with cytological examination using Fine Needle Aspiration Cytology (FNAC), according to evaluation criteria of the Breast Imaging Report Data System (BI-RADS) and the American College of Radiology (ACR). Usefulness of this research and the use of this new diagnostic tecnique is to detect the breast cancer in early stage. In addition to develop a classification model of the histological type identified in the section areas and the percentage of probability in relation between the Golden Ratio (Φ) and Fibonacci sequence. This amazing intuition and research has given contribution to the new Theory of Spiral Cancer. This innovative diagnostic technique has shown a sensitivity of 95%, a specificity of 97%, a positive predictive value (PPV) of 97%, and negative predictive value (NPV) of 96%. Furthermore with a Predictive Algorithm associated with malignant cytology after FNAC, we have classified different types of potentially life threatening cancers for patients.