Pathology of the Prostate : An Algorithmic Approach Multiple-component retail product
by Antonio Lopez-Beltran, Liang Cheng, Rodolfo Montironi, Maria Rosaria Raspollini
Multiple-component retail product
Description
Prostate cancer is the most commonly diagnosed noncutaneous neoplasm in men in the United States and is the second leading cause of cancer mortality.
It poses diagnostic challenges in day-to-day practice in misdiagnosis of tumor-like lesions and secondary tumors.
This book is a concise, practical guide to prostate pathology and is structured to guide pathologists, both practicing and trainees, in the diagnostic process.
Numerous color images and algorithms show, in a practical manner, how to integrate pathologic and immunohistochemical features to reach a correct diagnosis in prostate tumors and tumor-like lesions.
The book incorporates recent developments in biomarkers applied to immunohistochemistry, representing the best immunohistochemistry practice applied to current diagnosis of prostate cancer in biopsies and surgical specimens.
It takes a multidisciplinary approach to the clinical management of prostate cancer and will also appeal to all healthcare professionals treating patients, particularly urologists, oncologists, biomedical scientists, and researchers.
This book provides access to an online version on Cambridge Core, accessed via the code printed on the inside of the cover.
Information
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Multiple-component retail product
- Pages:220 pages, Worked examples or Exercises; 393 Halftones, color; 50 Line drawings, color
- Publisher:Cambridge University Press
- Publication Date:30/11/2017
- Category:
- ISBN:9781108185653
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Multiple-component retail product
- Pages:220 pages, Worked examples or Exercises; 393 Halftones, color; 50 Line drawings, color
- Publisher:Cambridge University Press
- Publication Date:30/11/2017
- Category:
- ISBN:9781108185653
