Literature DB >> 31144072

Shear-wave elastography: role in clinically significant prostate cancer with false-negative magnetic resonance imaging.

Li-Hua Xiang1,2, Yan Fang1,2, Jing Wan1,2, Guang Xu1,2, Ming-Hua Yao1,2, Shi-Si Ding1,2, Hui Liu1,2, Rong Wu3,4.   

Abstract

OBJECTIVES: To analyze the diagnostic value of adding SWE to MRI for the diagnosis of clinically significant prostate cancer with false-negative MRI results.
METHODS: This was a retrospective study of 367 patients who underwent MRI, SWE, and prostate biopsy between March 2016 and November 2018 at the Shanghai Tenth People's Hospital. Serum prostate-specific antigen (PSA) and free PSA (fPSA) were measured preoperatively. Diagnostic value and accuracy was determined for MRI alone and MRI + SWE using the receiver operator characteristic curve (ROC) analysis.
RESULTS: MRI misdiagnosed 17.9% (21/117) clinically significant prostate cancers, including 15 lesions in the peripheral zone and 6 in the central zone. Both qualitative and quantitative SWE could help detect 66.7% (10/15) significant prostate cancers with false-negative MRI, but there was no association with the Gleason score (p > 0.05). When considering the sextant of the peripheral zone, a significant association was not seen with histopathology in qualitative SWE (p = 0.071) and quantitative SWE (p = 0.598). Among age, PSA, fPSA, volume of the prostate gland, fPSA/PSA, and PSAD, only PSAD (p = 0.019) was associated with SWE results in patients with negative MRI.
CONCLUSIONS: Adding SWE to MRI in patients with negative MRI for prostate examination could allow the correct diagnosis of additional patients and reduce the false-negative rate. KEY POINTS: • MRI plays an important role in clinically significant prostate cancers diagnosis. • SWE plays an important role in clinically significant prostate cancers with negative MRI. • Adding SWE to MRI in patients with negative MRI for prostate examination could allow the correct diagnosis of additional patients and reduce the false-negative rate.

Entities:  

Keywords:  Biopsy; Magnetic resonance imaging; Prostate cancer

Mesh:

Substances:

Year:  2019        PMID: 31144072     DOI: 10.1007/s00330-019-06274-w

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  32 in total

1.  Why and Where do We Miss Significant Prostate Cancer with Multi-parametric Magnetic Resonance Imaging followed by Magnetic Resonance-guided and Transrectal Ultrasound-guided Biopsy in Biopsy-naïve Men?

Authors:  Martijn G Schouten; Marloes van der Leest; Morgan Pokorny; Martijn Hoogenboom; Jelle O Barentsz; Les C Thompson; Jurgen J Fütterer
Journal:  Eur Urol       Date:  2017-01-04       Impact factor: 20.096

2.  Accuracy of multiparametric MRI for prostate cancer detection: a meta-analysis.

Authors:  Maarten de Rooij; Esther H J Hamoen; Jurgen J Fütterer; Jelle O Barentsz; Maroeska M Rovers
Journal:  AJR Am J Roentgenol       Date:  2014-02       Impact factor: 3.959

3.  Role of multi-parametric (mp) MRI in prostate cancer.

Authors:  Syed Muhammad Nazim; Muhammad Hammad Ather; Basit Salam
Journal:  J Pak Med Assoc       Date:  2018-01       Impact factor: 0.781

Review 4.  Multiparametric MR imaging of the Prostate: Interpretation Including Prostate Imaging Reporting and Data System Version 2.

Authors:  Alessandro Furlan; Amir A Borhani; Antonio C Westphalen
Journal:  Radiol Clin North Am       Date:  2017-11-29       Impact factor: 2.303

5.  [Preliminary applicability evaluation of Prostate Imaging Reporting and Data System version 2 diagnostic score in 3.0T multi-parameters magnetic resonance imaging combined with prostate specific antigen density for prostate cancer].

Authors:  M Z Zuo; W L Zhao; C G Wei; C Y Zhang; R Wen; Y F Gu; M J Li; Y Y Zhang; J F Wu; X Li; J K Shen
Journal:  Zhonghua Yi Xue Za Zhi       Date:  2017-12-19

6.  The impact of real-time elastography guiding a systematic prostate biopsy to improve cancer detection rate: a prospective study of 353 patients.

Authors:  Marko Brock; Christian von Bodman; Rein Jüri Palisaar; Björn Löppenberg; Florian Sommerer; Thomas Deix; Joachim Noldus; Thilo Eggert
Journal:  J Urol       Date:  2012-04-11       Impact factor: 7.450

Review 7.  Tissue elasticity properties as biomarkers for prostate cancer.

Authors:  Kenneth Hoyt; Benjamin Castaneda; Man Zhang; Priya Nigwekar; P Anthony di Sant'agnese; Jean V Joseph; John Strang; Deborah J Rubens; Kevin J Parker
Journal:  Cancer Biomark       Date:  2008       Impact factor: 4.388

8.  Comparison of Prostate Imaging Reporting and Data System versions 1 and 2 for the Detection of Peripheral Zone Gleason Score 3 + 4 = 7 Cancers.

Authors:  Satheesh Krishna; Matthew McInnes; Christopher Lim; Robert Lim; Shaheed W Hakim; Trevor A Flood; Nicola Schieda
Journal:  AJR Am J Roentgenol       Date:  2017-10-05       Impact factor: 3.959

9.  Estimates of cancer incidence and mortality in China, 2013.

Authors:  Rongshou Zheng; Hongmei Zeng; Siwei Zhang; Wanqing Chen
Journal:  Chin J Cancer       Date:  2017-08-17

10.  Accuracy of shear wave elastography for the diagnosis of prostate cancer: A meta-analysis.

Authors:  Liang Sang; Xue-Mei Wang; Dong-Yang Xu; Yun-Fei Cai
Journal:  Sci Rep       Date:  2017-05-16       Impact factor: 4.379

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  4 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.  [Sonography of the prostate : Relevance for urologists in daily clinical routine].

Authors:  Maria Apfelbeck; Dirk-André Clevert; Christian G Stief; Michael Chaloupka
Journal:  Urologe A       Date:  2022-03-04       Impact factor: 0.639

3.  A Nomogram Based on a Multiparametric Ultrasound Radiomics Model for Discrimination Between Malignant and Benign Prostate Lesions.

Authors:  Lei Liang; Xin Zhi; Ya Sun; Huarong Li; Jiajun Wang; Jingxu Xu; Jun Guo
Journal:  Front Oncol       Date:  2021-03-02       Impact factor: 6.244

4.  The effect of regions-of-interest and elasticity modulus selection on differentiating benign and malignant cervical lymph nodes with shear wave elastography.

Authors:  Yong-Mei Sun; Hai Dong; Zong-Yan Du; Zong-Li Yang; Cheng Zhao; Jing Chong; Ping Li
Journal:  Clinics (Sao Paulo)       Date:  2020-10-26       Impact factor: 2.365

  4 in total

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