Includes bibliographical references and index.

Preinvasive disease of the cervix -- Preinvasive disease of the vagina and vulva and related disorders -- Invasive cervical cancer -- Endometrial hyperplasia, estrogen therapy, and the prevention of endometrial cancer -- Adenocarcinoma of the uterus -- Sarcoma of the uterus -- Gestational trophoblastic disease -- Invasive cancer of the vulva -- Invasive cancer of the vagina and urethra -- The adnexal mass and early ovarian cancer -- Epithelial ovarian cancer.

Germ cell, stromal, and other ovarian tumors -- Fallopian tube cancer -- Breast diseases -- Colorectal and bladder cancer -- Cancer in pregnancy -- Complications of disease and therapy -- Basic principles of chemotherapy -- Tumor immunology, host defense mechanisms, and biologic therapy -- Genes and cancer -- Palliative care and quality of life -- Role of laparoscopic surgery in gynecologic malignancies -- Epidemiology of commonly used statistical terms, and analysis of clinical studies.

Print version record.

Thanks to improved detection technologies, early diagnosis and treatment, and innovative research, the outlook for gynecologic oncology patients is steadily improving every day. Offer your patients the best in diagnosis and management with the help of this leading reference on gynecologic malignancies. In addition to cancers of the female reproductive tract, the 7th Edition of this essential resource also discusses breast and colorectal disease, equipping you with the skills you need to provide effective and compassionate care for every patient. Recognize the clinical presentation of gynecologic malignancies with the aid of detailed chapters organized by cancer type and size. Apply authoritative guidance on all aspects of gynecologic oncology with appendices covering staging, screening, nutritional therapy, toxicity criteria, blood component therapy, radiological therapy, and commonly used statistical terms. Easily identify and absorb key information with the aid of outlines at the beginning of each chapter. Choose the best management plan for each patient using algorithms within each chapter.

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