Literature DB >> 24700068

Multiparametric magnetic resonance imaging in the detection of prostate cancer.

T Durmus1, A Baur1, B Hamm1.   

Abstract

Prostate cancer is the most common malignancy in men, but only about 10% of patients die from that cancer. Recent studies suggest that not all patients benefit from a radical therapeutic approach. When prostate cancer is suspected, magnetic resonance imaging (MRI) can make an important contribution to cancer localization within the prostate. Many studies show that T2-weighted morphologic imaging should be supplemented by multiparametric MRI techniques including diffusion-weighted imaging, contrast-enhanced sequences, and MR spectroscopy. This approach detects aggressive prostate cancer with high sensitivity and specificity. The findings of multiparametric MRI additionally contribute information to the assessment of cancer aggressiveness. The use of these multiparametric MRI techniques will gain an increasing role in the clinical management of prostate cancer patients. They can help in establishing a definitive diagnosis with a minimum of invasiveness and may also contribute to optimal individualized treatment. This review article presents the different techniques of multiparametric MRI and discusses their contribution to the detection of prostate cancer. Moreover, this review outlines an objective approach to image interpretation and structured reporting of MRI findings using the PI-RADS criteria. The review concludes with an outline of approaches to prostate biopsy on the basis of MRI (transrectal ultrasound, direct MRI guidance of tissue sampling, and MRI-ultrasound fusion biopsy) and emerging future uses of MRI in the planning of focal treatment options and in the active surveillance of patients diagnosed with prostate cancer. © Georg Thieme Verlag KG Stuttgart · New York.

Entities:  

Mesh:

Year:  2014        PMID: 24700068     DOI: 10.1055/s-0034-1371875

Source DB:  PubMed          Journal:  Aktuelle Urol        ISSN: 0001-7868            Impact factor:   0.658


  4 in total

Review 1.  Computer-aided Detection of Prostate Cancer with MRI: Technology and Applications.

Authors:  Lizhi Liu; Zhiqiang Tian; Zhenfeng Zhang; Baowei Fei
Journal:  Acad Radiol       Date:  2016-04-25       Impact factor: 3.173

2.  Molecular imaging and fusion targeted biopsy of the prostate.

Authors:  Baowei Fei; Peter T Nieh; Viraj A Master; Yun Zhang; Adeboye O Osunkoya; David M Schuster
Journal:  Clin Transl Imaging       Date:  2016-12-01

3.  Diagnostic value of SFRP1 as a favorable predictive and prognostic biomarker in patients with prostate cancer.

Authors:  Lei Zheng; Dongchen Sun; Wentao Fan; Zhiwei Zhang; Quanlin Li; Tao Jiang
Journal:  PLoS One       Date:  2015-02-26       Impact factor: 3.240

4.  A Supervised Learning Tool for Prostate Cancer Foci Detection and Aggressiveness Identification using Multiparametric magnetic resonance imaging/magnetic resonance spectroscopy imaging.

Authors:  John Papadimitrou; Gokhan Kirlik; Rao Gullapalli; Warren D'Souza; Gazi Md Daud Iqbal; Michael Naslund; Jade Wong; Steve Roys; Nilesh Mistry; Hao Zhang
Journal:  Cancer Inform       Date:  2018-07-10
  4 in total

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