We aimed to recommend an efficient algorithm to detect the presence of specific pathologies of the lacrimal sac (LS). The charts of 296 patients who had undergone LS biopsy were reviewed retrospectively. The age, gender, history, examination and radiological findings, sac appearance, and pathology results of the patients were recorded. The power of our data to predict the presence of potential specific pathology was identified by regression analysis. After the causality evaluation of the statistical results, an algorithm was created to differentiate specific LS pathologies from chronic dacryocystitis. Our algorithm was mainly formed by deciding on radiological examination and biopsy according to the risk scoring created by the examination findings. A specific LS pathology was observed in 11 (3.7%) patients. When we applied the recommended algorithm to cases with a suspicion of specific pathology and/or found to have a specific pathology, 36.4% of