Literature DB >> 20524513

Clinical and imaging tools in the early diagnosis of prostate cancer, a review.

P De Visschere1, W Oosterlinck, G De Meerleer, G Villeirs.   

Abstract

Measurement of serum Prostate Specific Antigen (PSA) level is useful to detect early prostate cancer. PSA-screening may reduce the mortality rate from prostate cancer, but this is associated with a high rate of overdiagnosis and overtreatment. To improve the detection of clinically significant cancers, several auxiliary clinical and imaging tools can be used. The absolute PSA value can be complemented with parameters such as PSA velocity, PSA density and free/total PSA. Transrectal Ultrasound (TRUS) has only moderate accuracy in the detection of prostate carcinoma, but is very useful in the estimation of prostate volume and thus calculation of PSA-density. The role of Magnetic Resonance Imaging (MRI) in diagnosis and staging of prostate carcinoma is rapidly increasing. Morphologic T2-weighted MR images (T2-WI), preferably with an endorectal coil, depict the prostatic anatomy with high resolution and can detect tumoral areas within the peripheral zone of the prostate. Addition of MR spectroscopic imaging (MRSI), dynamic contrast enhanced MRI (DCE-MRI) and/or diffusion weighted imaging (DWI) further increase the diagnostic performance of MRI. The gold standard for diagnosis of prostate carcinoma is histological assessment obtained by transrectal ultrasound-guided systematic core needle biopsy. In the future, imaging-based targeted biopsies may improve the biopsy yield and decrease the number of biopsy cores. Computed Tomography (CT) and positron emission tomography (PET) have no value in early prostate cancer detection and the indications are limited to lymph node staging and detection of distant metastases.

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Year:  2010        PMID: 20524513     DOI: 10.5334/jbr-btr.121

Source DB:  PubMed          Journal:  JBR-BTR        ISSN: 0302-7430


  18 in total

Review 1.  [Magnetic resonance imaging. Density equalizing mapping analysis of global research architecture].

Authors:  D Ohlendorf; B Schwarze; D A Groneberg; M Schwarzer
Journal:  Radiologe       Date:  2015-09       Impact factor: 0.635

2.  Magnetic resonance imaging for prostate cancer clinical application.

Authors:  Bing Li; Yong Du; Hanfeng Yang; Yayong Huang; Jun Meng; Dongmei Xiao
Journal:  Chin J Cancer Res       Date:  2013-04       Impact factor: 5.087

3.  What kind of prostate cancers do we miss on multiparametric magnetic resonance imaging?

Authors:  Pieter Julien Luc De Visschere; Leslie Naesens; Louis Libbrecht; Charles Van Praet; Nicolaas Lumen; Valérie Fonteyne; Eva Pattyn; Geert Villeirs
Journal:  Eur Radiol       Date:  2015-07-03       Impact factor: 5.315

4.  MRI-targeted biopsy cores from prostate index lesions: assessment and prediction of the number needed.

Authors:  Nick Lasse Beetz; Franziska Dräger; Charlie Alexander Hamm; Seyd Shnayien; Madhuri Monique Rudolph; Konrad Froböse; Sefer Elezkurtaj; Matthias Haas; Patrick Asbach; Bernd Hamm; Samy Mahjoub; Frank Konietschke; Maximilian Wechsung; Felix Balzer; Hannes Cash; Sebastian Hofbauer; Tobias Penzkofer
Journal:  Prostate Cancer Prostatic Dis       Date:  2022-10-08       Impact factor: 5.455

5.  Prostate cancer in PI-RADS scores 1 and 2 version 2.1: a comparison to previous PI-RADS versions.

Authors:  Katja Bogner; Karl Engelhard; Wolfgang Wuest; Sajad Hamel
Journal:  Abdom Radiol (NY)       Date:  2022-03-21

6.  Relationship between T2 relaxation and apparent diffusion coefficient in malignant and non-malignant prostate regions and the effect of peripheral zone fractional volume.

Authors:  C J Simpkin; V A Morgan; S L Giles; S F Riches; C Parker; N M deSouza
Journal:  Br J Radiol       Date:  2013-02-20       Impact factor: 3.039

7.  Multiparametric magnetic resonance imaging characteristics of normal, benign and malignant conditions in the prostate.

Authors:  Pieter J L De Visschere; Anne Vral; Gianpaolo Perletti; Eva Pattyn; Marleen Praet; Vittorio Magri; Geert M Villeirs
Journal:  Eur Radiol       Date:  2016-08-04       Impact factor: 5.315

Review 8.  The application of SELDI-TOF-MS in clinical diagnosis of cancers.

Authors:  Chibo Liu
Journal:  J Biomed Biotechnol       Date:  2011-05-23

9.  Pathobiological implications of the expression of EGFR, pAkt, NF-κB and MIC-1 in prostate cancer stem cells and their progenies.

Authors:  Murielle Mimeault; Sonny L Johansson; Surinder K Batra
Journal:  PLoS One       Date:  2012-02-23       Impact factor: 3.240

10.  Regulation of the tumor suppressor PTEN through exosomes: a diagnostic potential for prostate cancer.

Authors:  Kathleen Gabriel; Alistair Ingram; Richard Austin; Anil Kapoor; Damu Tang; Fadwa Majeed; Talha Qureshi; Khalid Al-Nedawi
Journal:  PLoS One       Date:  2013-07-25       Impact factor: 3.240

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