
The PI-RADS 2.0 classification was established by an international collaboration of the European Society of Urogenital Radiology (ESUR), the American College of Radiology (ACR), and AdMetech Foundation to globally standardize the acquisition and interpretation of multiparametric prostate magnetic resonance imaging (MRI). The PI-RADS 2.0 aims to improve the detection, localization, staging and risk stratification of patients with suspected or histologically confirmed prostate cancer. Suspicious areas on T2-weighted (T2w) MRI, diffusion-weighted MRI (DWI) and dynamic contrast-enhanced MRI (DCE-MRI) were assessed for the presence of a clinically significant prostate cancer with scale from 1 to 5 with 5 being most likely to represent clinically significant prostate cancer. The dominant sequence to detect significant prostate cancer in the peripheral zone is DWI and for the transition zone T2w images. For the local staging of prostate cancer criteria for the assessment of an extracapsular growth were formulated.
Male, Diffusion Magnetic Resonance Imaging, Prostate, Contrast Media, Humans, Prostatic Neoplasms, Magnetic Resonance Imaging
Male, Diffusion Magnetic Resonance Imaging, Prostate, Contrast Media, Humans, Prostatic Neoplasms, Magnetic Resonance Imaging
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 9 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
