Radiographic Pathology for Technologists - E-Book
Author | : Nina Kowalczyk |
Publisher | : Elsevier Health Sciences |
Total Pages | : 474 |
Release | : 2017-08-08 |
ISBN-10 | : 9780323544115 |
ISBN-13 | : 0323544118 |
Rating | : 4/5 (118 Downloads) |
Download or read book Radiographic Pathology for Technologists - E-Book written by Nina Kowalczyk and published by Elsevier Health Sciences. This book was released on 2017-08-08 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using an essentials approach, Radiographic Pathology for Technologists, 7th Edition concisely covers the injuries and abnormalities most frequently encountered in practice. This new edition has been updated to reflect the latest ACR appropriateness criteria and ASRT curriculum guidelines. It also features background discussions of key anatomy and physiology principles, along with imaging considerations for each disease categorized by type followed by a description of its radiographic appearance, signs and symptoms, and treatment. - Essential level of coverage presents approximately 150 injuries and abnormalities most frequently diagnosed using medical imaging. - Summary tables at the end of each chapter list pathologies covered and the preferred imaging modalities for diagnosis. - Correlative and differential diagnosis discussions explain the diagnostic process and demonstrate the importance of high quality images. - Chapter outlines and objectives, key terms, and multiple choice and discussion questions for each chapter with answers provided in the back of the text highlight the most important concepts within each chapter. - NEW! Updated content reflects the latest ACR Appropriateness criteria and ASRT curriculum guidelines. - NEW! Current digital radiography practices and images covered throughout text. - NEW! Radiographic images illustrate gastrointestinal, hepatobiliary, and urinary pathologies - NEW! Replacement images and illustrations reflect current practice for general radiography and alternative modalities, such as CT, MR, and fusion imaging to help you understand how pathologies are demonstrated.