(Download) "Imaging in Oncological Urology" by Jean J. M. C. H. Rosette, Michael J. Manyak, Mukesh G. Harisinghani & Hessel Wijkstra * eBook PDF Kindle ePub Free
eBook details
- Title: Imaging in Oncological Urology
- Author : Jean J. M. C. H. Rosette, Michael J. Manyak, Mukesh G. Harisinghani & Hessel Wijkstra
- Release Date : January 23, 2008
- Genre: Medical,Books,Professional & Technical,
- Pages : * pages
- Size : 30474 KB
Description
Thepastdecadehasseendramaticadvances inurologyandimaging. Thesechangesareevident in improvements in laparoscopic surgery as well as in the emergence of multidetector CT, with multiplanar reformatting and FDG-PET-CT as routine imaging methods. The new minimally invasive procedures often require more exacting imaging as the surgeon does not have the same visual ?eld of view as was possible with open procedures. Thus, it is appropriate now to p- vide an update on imaging advances for the bene?t of urologists and radiologists alike. The increasing number of innovative imaging approaches to urologic tumors including CT, MRI, PET, SPECT, and endoscopic imaging can be perplexing and lead to over- and underesti- tions of the capabilities of modern imaging on the part of those who interpret them and those who use the information they provide for patient management. There is a growing “exp- tations gap” between what is expected and what is possible that needs to be closed. While previous books have focused on the more common urologic tumors such as bladder, prostate, andkidneycancer,nonehasattemptedacomprehensivereviewofthestateoftheartofimaging in most of the tumors involved in urologic oncology. Imaging in Urologic Oncology addresses these challenges. In the modern imaging department it is easy to forget how useful conventional plain rad- graphy can be in urologic diagnosis. Much of our current understanding of urologic disease is based on the “classic appearance” on intravenous urograms, cystograms, or retrograde pye- grams. Therefore, conventional imaging provides the ?rst “layer” in our understanding of u- logic tumors. The next layer is cross-sectional imaging.