Literature DB >> 34427180

Imaging of Prostate Cancer.

Heinz-Peter Schlemmer1, Bernd Joachim Krause, Viktoria Schütz, David Bonekamp, Sarah Marie Schwarzenböck, Markus Hohenfellner.   

Abstract

BACKGROUND: Prostate cancer is the most common type of solid tumor in men and the second most common cause of cancer-related death in males in Germany. The conventional strategy for its primary detection, i.e., systematic ultrasound-guided prostate biopsy in men who have elevated PSA levels and/or positive findings on digital rectal examination, fails to reveal all cases. The same is true of the use of conventional computed tomography (CT), magnetic resonance imaging (MRI), and skeletal scintigraphy for the early detection of recurrences and distant metastases.
METHODS: This review is based on pertinent publications retrieved by a selective search, including the German clinical practice guideline on prostate cancer and systematic review articles.
RESULTS: Prospective multicenter trials have shown that the detection of clinically significant prostate cancer is markedly improved with multiparametric MRI (mpMRI) and MR/TRUS fusion biopsy (TRUS = transrectal ultrasonography), compared to conventional systematic biopsy. A recent Cochrane review showed that the rate of overdiagnosis of low-risk prostate cancer was reduced with mpMRI and MR/TRUS fusion biopsy compared with conventional systematic biopsy (95/1000 vs. 139/1000), and that clinically significant prostate cancer was more reliably detected (sensitivity 72% vs. 63%), albeit with slightly lower specificity (96% vs. 100%). Prostate- specific membrane antigen (PSMA) hybrid imaging improves the detection of lymphogenic and bony metastases in patients with high-risk prostate cancer. PSMA hybrid imaging is most commonly used to detect biochemical recurrences. A metaanalysis showed that the detection rate depends on the PSA concentration: 74.1% overall, 33.7% with PSA <0.2 ng/mL, and 91.7% with PSA ≥= 2.0 ng/mL.
CONCLUSION: The appropriate use of mpMRI and MR/TRUS fusion biopsy improves the initial detection of prostate cancer as well as the assessment of the prognosis. PSMA hybrid imaging is useful for the staging of high-risk patients and for the detection of recurrences. These methods are now recommended in the German clinical practice guideline on prostate cancer as well as in guidelines from other countries.

Entities:  

Mesh:

Year:  2021        PMID: 34427180      PMCID: PMC8767150          DOI: 10.3238/arztebl.m2021.0309

Source DB:  PubMed          Journal:  Dtsch Arztebl Int        ISSN: 1866-0452            Impact factor:   8.251


  32 in total

1.  Combined Clinical Parameters and Multiparametric Magnetic Resonance Imaging for Advanced Risk Modeling of Prostate Cancer-Patient-tailored Risk Stratification Can Reduce Unnecessary Biopsies.

Authors:  Jan Philipp Radtke; Manuel Wiesenfarth; Claudia Kesch; Martin T Freitag; Celine D Alt; Kamil Celik; Florian Distler; Wilfried Roth; Kathrin Wieczorek; Christian Stock; Stefan Duensing; Matthias C Roethke; Dogu Teber; Heinz-Peter Schlemmer; Markus Hohenfellner; David Bonekamp; Boris A Hadaschik
Journal:  Eur Urol       Date:  2017-04-08       Impact factor: 20.096

2.  Upgrade in Gleason score between prostate biopsies and pathology following radical prostatectomy significantly impacts upon the risk of biochemical recurrence.

Authors:  Niall M Corcoran; Matthew K H Hong; Rowan G Casey; Antonio Hurtado-Coll; Justin Peters; Laurence Harewood; S Larry Goldenberg; Chris M Hovens; Anthony J Costello; Martin E Gleave
Journal:  BJU Int       Date:  2011-03-28       Impact factor: 5.588

3.  Prostate Magnetic Resonance Imaging, with or Without Magnetic Resonance Imaging-targeted Biopsy, and Systematic Biopsy for Detecting Prostate Cancer: A Cochrane Systematic Review and Meta-analysis.

Authors:  Frank-Jan H Drost; Daniel Osses; Daan Nieboer; Chris H Bangma; Ewout W Steyerberg; Monique J Roobol; Ivo G Schoots
Journal:  Eur Urol       Date:  2019-07-18       Impact factor: 20.096

4.  EAU-ESTRO-SIOG Guidelines on Prostate Cancer. Part 1: Screening, Diagnosis, and Local Treatment with Curative Intent.

Authors:  Nicolas Mottet; Joaquim Bellmunt; Michel Bolla; Erik Briers; Marcus G Cumberbatch; Maria De Santis; Nicola Fossati; Tobias Gross; Ann M Henry; Steven Joniau; Thomas B Lam; Malcolm D Mason; Vsevolod B Matveev; Paul C Moldovan; Roderick C N van den Bergh; Thomas Van den Broeck; Henk G van der Poel; Theo H van der Kwast; Olivier Rouvière; Ivo G Schoots; Thomas Wiegel; Philip Cornford
Journal:  Eur Urol       Date:  2016-08-25       Impact factor: 20.096

5.  Diagnostic performance of 68Ga-PSMA-11 (HBED-CC) PET/CT in patients with recurrent prostate cancer: evaluation in 1007 patients.

Authors:  Ali Afshar-Oromieh; Tim Holland-Letz; Frederik L Giesel; Clemens Kratochwil; Walter Mier; Sabine Haufe; Nils Debus; Matthias Eder; Michael Eisenhut; Martin Schäfer; Oliver Neels; Markus Hohenfellner; Klaus Kopka; Hans-Ulrich Kauczor; Jürgen Debus; Uwe Haberkorn
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-05-12       Impact factor: 9.236

6.  F-18 labelled PSMA-1007: biodistribution, radiation dosimetry and histopathological validation of tumor lesions in prostate cancer patients.

Authors:  Frederik L Giesel; B Hadaschik; J Cardinale; J Radtke; M Vinsensia; W Lehnert; C Kesch; Y Tolstov; S Singer; N Grabe; S Duensing; M Schäfer; O C Neels; W Mier; U Haberkorn; K Kopka; C Kratochwil
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-11-26       Impact factor: 9.236

7.  Multiparametric MRI - local staging of prostate cancer and beyond.

Authors:  Iztok Caglic; Viljem Kovac; Tristan Barrett
Journal:  Radiol Oncol       Date:  2019-05-08       Impact factor: 2.991

8.  The Value of Prostate-specific Antigen Density for Prostate Imaging-Reporting and Data System 3 Lesions on Multiparametric Magnetic Resonance Imaging: A Strategy to Avoid Unnecessary Prostate Biopsies.

Authors:  Magdalena Görtz; Jan Philipp Radtke; Gencay Hatiboglu; Viktoria Schütz; Georgi Tosev; Maximilian Güttlein; Jonas Leichsenring; Albrecht Stenzinger; David Bonekamp; Heinz-Peter Schlemmer; Markus Hohenfellner; Joanne Nyaboe Nyarangi-Dix
Journal:  Eur Urol Focus       Date:  2019-12-12

9.  Fully Automatic Deep Learning in Bi-institutional Prostate Magnetic Resonance Imaging: Effects of Cohort Size and Heterogeneity.

Authors:  Nils Netzer; Cedric Weißer; Patrick Schelb; Xianfeng Wang; Xiaoyan Qin; Magdalena Görtz; Viktoria Schütz; Jan Philipp Radtke; Thomas Hielscher; Constantin Schwab; Albrecht Stenzinger; Tristan Anselm Kuder; Regula Gnirs; Markus Hohenfellner; Heinz-Peter Schlemmer; Klaus H Maier-Hein; David Bonekamp
Journal:  Invest Radiol       Date:  2021-12-01       Impact factor: 6.016

10.  Prostate-specific membrane antigen PET-CT in patients with high-risk prostate cancer before curative-intent surgery or radiotherapy (proPSMA): a prospective, randomised, multicentre study.

Authors:  Michael S Hofman; Nathan Lawrentschuk; Roslyn J Francis; Colin Tang; Ian Vela; Paul Thomas; Natalie Rutherford; Jarad M Martin; Mark Frydenberg; Ramdave Shakher; Lih-Ming Wong; Kim Taubman; Sze Ting Lee; Edward Hsiao; Paul Roach; Michelle Nottage; Ian Kirkwood; Dickon Hayne; Emma Link; Petra Marusic; Anetta Matera; Alan Herschtal; Amir Iravani; Rodney J Hicks; Scott Williams; Declan G Murphy
Journal:  Lancet       Date:  2020-03-22       Impact factor: 79.321

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  4 in total

1.  In Reply.

Authors:  Bernd Joachim Krause
Journal:  Dtsch Arztebl Int       Date:  2022-04-15       Impact factor: 8.251

2.  Qualitative Data Are Lacking.

Authors:  Wolfgang Bruder
Journal:  Dtsch Arztebl Int       Date:  2022-04-15       Impact factor: 8.251

Review 3.  [Artificial intelligence (AI) in radiology? : Do we need as many radiologists in the future?]

Authors:  David Bonekamp; H-P Schlemmer
Journal:  Urologe A       Date:  2022-03-11       Impact factor: 0.639

4.  Contrast-Enhanced Ultrasound-Magnetic Resonance Imaging Radiomics Based Model for Predicting the Biochemical Recurrence of Prostate Cancer: A Feasibility Study.

Authors:  Yong Wang; Guoyan Feng; Jianru Wang; Peng An; Peng Duan; Yan Hu; Yingjian Ye; Yang Li; Ping Qin; Ping Song
Journal:  Comput Math Methods Med       Date:  2022-04-28       Impact factor: 2.809

  4 in total

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