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Radiology reports generally consist of narrative text. It has been envisioned that structured medical content can be leveraged to clinical applications. Text-mining techniques can be utilized to realize this vision. We created a pipeline for automatic sentence classification of narrative breast cancer radiology reports. A corpus of 353 reports and 8166 sentences was annotated with seven sentence classes related to laterality, modality and recommendation. [ABSTRACT FROM PUBLISHER]