Literature DB >> 31177155

Multiparametric MRI Versus Multiparametric US in the Detection of Prostate Cancer.

Francesco M Drudi1, Vito Cantisani2, Flavia Angelini2, Mauro Ciccariello2, Daniela Messineo2, Evaristo Ettorre3, Mauro Liberatore2, Michele Scialpi4.   

Abstract

BACKGROUND/AIM: The aim of the study was to compare the diagnostic accuracy of multiparametric magnetic resonance imaging (mpMRI), multiparametric ultrasound (mpUS) and US/MRI fusion imaging techniques in the detection of prostate cancer. PATIENTS AND METHODS: A total of 82 patients with persistently high prostate specific antigen (PSA) levels after medical therapy were prospectively evaluated. All patients underwent digital rectal examination, mpMRI, mpUS and prostate biopsy.
RESULTS: Histological outcome was positive for prostate cancer (PCa) in 46/82 patients (56.1%). MpMRI detected 54/82 lesions; histological analysis confirmed PCa in 44 lesions (sensitivity 91.3% and specificity 66.7%). Ratio estimation with semiquantitative elastography, between lesions and the peripheral portion showed a higher sensitivity and specificity compared to strain ration (SR) evaluation between lesions and adenomas (sensitivity 84.8% vs. 78.3%; specificity 66.6% vs. 61.1%). Quantitative analysis of contrast-enhanced ultrasound (CEUS) showed 40.0% sensitivity and 97.2% specificity. A total of 54 lesions detected by mpMRI and MRI/TRUS fusion targeted biopsy had a high number of positive samples (81.5%).
CONCLUSION: mpMRI is more accurate than mpUS which still remains a valuable technique used after MRI for prostate fusion-guided biopsy. Copyright
© 2019, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  Multiparametric MRI; diagnostic imaging; multiparametric US; prostate cancer

Mesh:

Year:  2019        PMID: 31177155     DOI: 10.21873/anticanres.13446

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  3 in total

Review 1.  Application of Multiple Ultrasonic Techniques in the Diagnosis of Prostate Cancer.

Authors:  Yushan Liu; Shi Zeng; Ran Xu
Journal:  Front Oncol       Date:  2022-06-27       Impact factor: 5.738

Review 2.  Current Value of Biparametric Prostate MRI with Machine-Learning or Deep-Learning in the Detection, Grading, and Characterization of Prostate Cancer: A Systematic Review.

Authors:  Henrik J Michaely; Giacomo Aringhieri; Dania Cioni; Emanuele Neri
Journal:  Diagnostics (Basel)       Date:  2022-03-24

Review 3.  Alternatives for MRI in Prostate Cancer Diagnostics-Review of Current Ultrasound-Based Techniques.

Authors:  Adam Gurwin; Kamil Kowalczyk; Klaudia Knecht-Gurwin; Paweł Stelmach; Łukasz Nowak; Wojciech Krajewski; Tomasz Szydełko; Bartosz Małkiewicz
Journal:  Cancers (Basel)       Date:  2022-04-07       Impact factor: 6.575

  3 in total

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