Breast mass algorithm
Palpable breast masses are common and usually benign, but efficient Diagnostic algorithm for patients with palpable breast masses. Approximately American women are diagnosed with breast cancer annually, and women die from this DIAGNOSTIC ALGORITHMS . Benign versus malignant solid breast masses: US differentiation. Initial evaluation of breast mass. Algorithm provides plan for initial clinical detection of mass and differentiation between cystic and solid masses, and further. Oct 04, · Algorithm for breast mass. desiboston. desiboston. Post Oct 04, #1 T sexbokep.infoy and physical examination. * Primary care evaluation is initiated with history taking aimed at uncovering and characterizing any breast-related symptom. A risk assessment should also be undertaken for identified risk factors, including. Aug 17, · Evaluation of a palpable breast mass requires a systematic approach to the history, physical examination, and radiographic imaging studies to ensure a correct diagnosis. A missed diagnosis of breast cancer is one of the most frequent causes of malpractice claims in the United States. Results. An automatic breast mass detection algorithm is applied with mass detection sensitivity of % at false positives per case, quite comparable to the results in previous research, and we note that in the case of malignant breast mass detection, every malignant mass is detected with false positives per case at a rate of Cited by: 2.