With its unique algorithmic and pattern-based approach, Diagnosis of Neoplasia in Endometrial Biopsies is an essential practical guide to interpreting endometrial biopsy samples. All potential entities are classified based on the dominant histologic pattern, with each resulting sub-group progressively sub-classified to reach a diagnosis. Decision tree flowcharts facilitate rapid narrowing of the differential diagnosis. Recent advancements are discussed and explained, and strengths and limitations of diagnostic tests are identified in the context of their application to the biopsy sample. Lavishly illustrated throughout, this book serves the practising pathologist as a scope-side assistant for quick reference, up-to-date guidance, and recommendations for ancillary testing. For the resident, this book facilitates quick and comprehensive mastery of the interpretation and diagnosis of endometrial biopsies. The book is packaged with a password, giving the user online access to all the text and images.