Title |
Multiparametric magnetic resonance imaging for transition zone prostate cancer: essential findings, limitations, and future directions
|
---|---|
Published in |
Abdominal Radiology, July 2017
|
DOI | 10.1007/s00261-017-1184-6 |
Pubmed ID | |
Authors |
Sara Lewis, Cecilia Besa, Ally Rosen, Ardeshir R. Rastinehad, Sahar Semaan, Stefanie Hectors, Bachir Taouli |
Abstract |
Review the multiparametric MRI (mpMRI) findings of transition zone (TZ) prostate cancer (PCa) using T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), and dynamic contrast-enhanced (DCE) MRI and to integrate mpMRI findings with clinical history, laboratory values, and histopathology. TZ prostate tumors are challenging to detect clinically and at MRI. mpMRI using the combination of sequences has the potential to improve accuracy of TZ cancer detection and staging. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Colombia | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 4 | 14% |
Researcher | 3 | 10% |
Student > Doctoral Student | 3 | 10% |
Student > Postgraduate | 3 | 10% |
Student > Bachelor | 2 | 7% |
Other | 7 | 24% |
Unknown | 7 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 10 | 34% |
Nursing and Health Professions | 1 | 3% |
Computer Science | 1 | 3% |
Agricultural and Biological Sciences | 1 | 3% |
Physics and Astronomy | 1 | 3% |
Other | 1 | 3% |
Unknown | 14 | 48% |