Since its first publication more than 35 years ago, Enzinger and Weiss’s Soft Tissue Tumors has established itself as the most comprehensive and authoritative reference available on soft tissue pathology. The 7th Edition from Drs. John R. Goldblum, Andrew L. Folpe, and Sharon W. Weiss, continues this tradition with detailed, well-written, logically organized coverage of the full spectrum of these often difficult and challenging tumors. It offers clear guidance to practicing and trainee pathologists on diagnosis of tumors by microscopy, immunohistochemistry, and molecular genetics, as well as a significant amount of clinically significant information of interest to the clinicians who most frequently see these diseases – dermatologists, orthopaedists, and oncologists.

• • Offers practical information on differential diagnosis of tumors of the skeletal muscles, connective tissue, fat, and related structures, helping you accurately diagnose and confidently sign out pathology reports on even the most challenging cases.
  • Provides unsurpassed scope and depth in this complex area with microscopic findings correlated with the latest developments in molecular biology, cytogenetics, and immunohistochemistry, for a comprehensive and integrated approach to evaluation and diagnosis.
  • Incorporates new knowledge on recently identified entities, next-generation sequencing (NGS), molecular diagnostic techniques, and immunohistochemical and genetic features of soft tissue tumors, providing up-to-date diagnostic and prognostic information that will inform day-to-day therapeutic decisions.
  • Features nearly 2,000 high-quality images that clearly capture the clinical, macroscopic and microscopic features of benign and malignant conditions, helping you relate these characteristics to their specific classifications.
  • Utilizes a logical, well-structured format including summary outlines at the beginning of each chapter, a color-coded page design, and a consistent approach to every entity, enabling you to navigate the text quickly, improve turnaround time when diagnosing a specimen, and clearly report on the prognosis and therapeutic management options.
  • Includes abundant algorithms, tables, and graphs to facilitate rapid decision making.