Springer Surgical Oncology: An Algorithmic Approach

This user-friendly definitive reference work presents the full spectrum of current cancer treatment options available to the practicing general surgeon or trainee. Through the pairing of 4-color algorithms and concise, clinically oriented text, the reader can quickly visualize and understand the decision-making process. Separate algorithmic branches highlight surgical treatment, adjuvant therapies such as chemotherapy and radiation therapy, as well as combined modality treatment. Over 90 chapters address organ systems from head to toe and tackle special topics, including oncologic emergencies and diagnostic and therapeutic challenges, and surgical adjuncts. More than 200 illustrations augment the textbook.