Literature DB >> 31765445

Value of shear wave elastography for diagnosis of primary prostate cancer: a systematic review and meta-analysis.

Ye Yang1, Xinxin Zhao2, Xinxin Zhao2, Jingwen Shi1, Ying Huang3.   

Abstract

AIM: To evaluate the difference in stiffness between prostate cancer (PCa) and benign tissue based on Young's modulus determined by shear wave elastography (SWE). In addition, the diagnostic accuracy of SWE for the detection of PCa was evaluated comprehensively.
MATERIAL AND METHODS: We conducted our systematic review and meta-analysis based on databases of PubMed, Embase and Web of Science. Relevant studies regarding to the diagnostic accuracy of SWE for detecting PCa compared to a reference standard of histopathology were included. The pooled weighted mean difference (WMD) of Young's modulus, sensitivity (SEN) and specificity (SPE), and area under the curve (AUC) were calculated using Stata software.
RESULTS: Based on our search strategy, 9 studies were ultimately included. The pooled results indicated that the mean Young's modulus for detecting prostate cancer was significantly higher than that for prostate benign tissue (WMD = 38.01, 95%CI = 25.59-50.44, p<0.01). In addition, the pooled SEN was 0.86 (95%CI = 0.75-0.92), and the SPE was 0.89 (95%CI = 0.82-0.93). Moreover, an overall high degree of accuracy was indicated by the summary receiver operator characteristic curve with an AUC of 0.94 (95%CI = 0.91-0.95).
CONCLUSION: Our study indicated that SWE is a useful technique for differentiating PCa and benign tissue with a high degree of diagnostic accuracy.

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Mesh:

Year:  2019        PMID: 31765445     DOI: 10.11152/mu-2051

Source DB:  PubMed          Journal:  Med Ultrason        ISSN: 1844-4172            Impact factor:   1.611


  6 in total

1.  Advanced ultrasound in the diagnosis of prostate cancer.

Authors:  Jean-Michel Correas; Ethan J Halpern; Richard G Barr; Sangeet Ghai; Jochen Walz; Sylvain Bodard; Charles Dariane; Jean de la Rosette
Journal:  World J Urol       Date:  2020-04-18       Impact factor: 4.226

Review 2.  Causal contributors to tissue stiffness and clinical relevance in urology.

Authors:  Laura Martinez-Vidal; Valentina Murdica; Chiara Venegoni; Filippo Pederzoli; Marco Bandini; Andrea Necchi; Andrea Salonia; Massimo Alfano
Journal:  Commun Biol       Date:  2021-08-26

3.  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 4.  Multiparametric ultrasound and micro-ultrasound in prostate cancer: a comprehensive review.

Authors:  Adriano Basso Dias; Ciara O'Brien; Jean-Michel Correas; Sangeet Ghai
Journal:  Br J Radiol       Date:  2021-11-09       Impact factor: 3.629

5.  Wave Propagation in a Fractional Viscoelastic Tissue Model: Application to Transluminal Procedures.

Authors:  Antonio Gomez; Guillermo Rus; Nader Saffari
Journal:  Sensors (Basel)       Date:  2021-04-15       Impact factor: 3.576

Review 6.  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

  6 in total

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