Literature DB >> 31246546

Multiparametric Ultrasound for Prostate Cancer Detection and Localization: Correlation of B-mode, Shear Wave Elastography and Contrast Enhanced Ultrasound with Radical Prostatectomy Specimens.

Christophe K Mannaerts1,2, Rogier R Wildeboer3, Sebastiaan Remmers2, Rob A A van Kollenburg1, Amir Kajtazovic4, Johanna Hagemann5, Arnoud W Postema1, Ruud J G van Sloun3, Monique J Roobol2, Derya Tilki5, Massimo Mischi3, Hessel Wijkstra1,3, Georg Salomon5.   

Abstract

PURPOSE: Similar to multiparametric magnetic resonance imaging, multiparametric ultrasound represents a promising approach to prostate cancer imaging. We determined the diagnostic performance of B-mode, shear wave elastography and contrast enhanced ultrasound with quantification software as well as the combination, multiparametric ultrasound, for clinically significant prostate cancer localization using radical prostatectomy histopathology as the reference standard.
MATERIALS AND METHODS: From May 2017 to July 2017, 50 men with biopsy proven prostate cancer underwent multiparametric ultrasound before radical prostatectomy at 1 center. Three readers independently evaluated 12 anatomical regions of interest for the likelihood of clinically significant prostate cancer on a 5-point Likert scale for all separate ultrasound modalities and multiparametric ultrasound. A logistic linear mixed model was used to estimate diagnostic performance for the localization of clinically significant prostate cancer (any tumor with Gleason score 3 + 4 = 7 or greater, tumor volume 0.5 ml or greater, extraprostatic extension or stage pN1) using a Likert score of 3 or greater and 4 or greater as the threshold. To detect the index lesion the readers selected the 2 most suspicious regions of interest.
RESULTS: A total of 48 men were included in the final analysis. The region of interest specific sensitivity of multiparametric ultrasound (Likert 3 or greater) for clinically significant prostate cancer was 74% (95% CI 67-80) compared to 55% (95% CI 47-63), 55% (95% CI 47-63) and 59% (95% CI 51-67) for B-mode, shear wave elastography and contrast enhanced ultrasound, respectively. Multiparametric ultrasound sensitivity was significantly higher for Likert thresholds and all different clinically significant prostate cancer definitions (all p <0.05). Multiparametric ultrasound improved the detection of index lesion prostate cancer.
CONCLUSIONS: Multiparametric ultrasound of the prostate, consisting of B-mode, shear wave elastography and contrast enhanced ultrasound with parametric maps, improved localization and index lesion detection of clinically significant prostate cancer compared to single ultrasound modalities, yielding good sensitivity.

Entities:  

Keywords:  contrast media; diagnostic imaging; elasticity imaging techniques; prostatic neoplasms; ultrasonography

Mesh:

Substances:

Year:  2019        PMID: 31246546     DOI: 10.1097/JU.0000000000000415

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  5 in total

1.  Artificial Intelligence System for Predicting Prostate Cancer Lesions from Shear Wave Elastography Measurements.

Authors:  Ciprian Cosmin Secasan; Darian Onchis; Razvan Bardan; Alin Cumpanas; Dorin Novacescu; Corina Botoca; Alis Dema; Ioan Sporea
Journal:  Curr Oncol       Date:  2022-06-10       Impact factor: 3.109

Review 2.  All change in the prostate cancer diagnostic pathway.

Authors:  Derek J Lomas; Hashim U Ahmed
Journal:  Nat Rev Clin Oncol       Date:  2020-02-28       Impact factor: 66.675

3.  A systematic review and meta-analysis of Histoscanning™ in prostate cancer diagnostics.

Authors:  Andrey Morozov; Vasiliy Kozlov; Juan Gomez Rivas; Jeremy Yuen-Chun Teoh; Evgeniy Bezrukov; Alexander Amosov; Eric Barret; Mark Taratkin; Georg Salomon; Thomas R W Herrmann; Ali Gozen; Dmitry Enikeev
Journal:  World J Urol       Date:  2021-04-07       Impact factor: 4.226

4.  Multiparametric transrectal ultrasound for the diagnosis of peripheral zone prostate cancer and clinically significant prostate cancer: novel scoring systems.

Authors:  Tong Chen; Fei Wang; Hanbing Chen; Meng Wang; Peiqing Liu; Songtao Liu; Yibin Zhou; Qi Ma
Journal:  BMC Urol       Date:  2022-04-19       Impact factor: 2.264

Review 5.  Optimal biopsy approach for detection of clinically significant prostate cancer.

Authors:  Simona Ippoliti; Peter Fletcher; Luca Orecchia; Roberto Miano; Christof Kastner; Tristan Barrett
Journal:  Br J Radiol       Date:  2021-08-06       Impact factor: 3.039

  5 in total

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