Role of Multiparametric Magnetic Resonance Imaging in Predicting Pathologic Outcomes in Prostate Cancer.
Niklas HarlandArnulf StenzlTilman TodenhöferPublished in: The world journal of men's health (2020)
Multiparametric magnetic resonance imaging (mpMRI) and the introduction of standardized protocols for its interpretation have had a significant impact on the field of prostate cancer (PC). Multiple randomized controlled trials have shown that the sensitivity for detection of clinically significant PC is increased when mpMRI results are the basis for indication of a prostate biopsy. The added value with regards to sensitivity has been strongest for patients with persistent suspicion for PC after a prior negative biopsy. Although enhanced sensitivity of mpMRI is convincing, studies that have compared mpMRI with prostatectomy specimens prepared by whole-mount section analysis have shown a significant number of lesions that were not detected by mpMRI. In this context, the importance of an additional systematic biopsy (SB) is still being debated. While SB in combination with targeted biopsies leads to an increased detection rate, most of the tumors detected by SB only are considered clinically insignificant. Currently, multiple risk calculation tools are being developed that include not only clinical parameters but mpMRI results in addition to clinical parameters in order to improve risk stratification for PC, such as the Partin tables. In summary, mpMRI of the prostate has become a standard procedure recommended by multiple important guidelines for the diagnostic work-up of patients with suspicion of PC.
Keyphrases
- prostate cancer
- radical prostatectomy
- ultrasound guided
- magnetic resonance imaging
- fine needle aspiration
- randomized controlled trial
- computed tomography
- loop mediated isothermal amplification
- benign prostatic hyperplasia
- radiation therapy
- clinical trial
- type diabetes
- drug delivery
- cancer therapy
- systematic review
- magnetic resonance
- label free
- clinical practice
- insulin resistance
- glycemic control
- diffusion weighted imaging
- breast cancer risk