Introduction: Benign diseases account for approximately ninety percent of all clinical presentations related to breast internationally. Aim of The study: it is a trial to plan a proposed algorithm in dealing with benign breast lesions to differentiate cases that need just follow up or medical treatment from cases that need surgical intervention . Methods: 50 female patients had benign breast lesions between age of 15 and 75 years old were included in this study, all patients were subjected to clinical examination, mammography and (or) US and tru-cut needle biopsy, we excluded patients with breast lesions proved to be malignant. Results: in comparison to results of histopathology examinations, we found that for clinical examination; the sensitivity was 83.73%, specificity was 92.15%, positive predictive value (PPV) was 83.73% and negative predictive value (NPV) was 92.15%, For combined radiological approach (mammography and/or US); sensitivity was 98.7%, specificity was 98.61%, PPV was 98.7% and NPV was 98.6%. Conclusion: pathological examinations had the best sensitivity followed by radiology, while the clinical examination had the lowest sensitivity, so in most cases we should not relay on results of the clinical examination alone without radiological investigations.Recommendations: benign breast lesions can be diagnosed clinically and confirmed by radiological imaging and tru-cut biopsy for early, reliable and accurate diagnosis.