Literature DB >> 29541458

Novel application of three-dimensional shear wave elastography in the detection of clinically significant prostate cancer.

Sunao Shoji1, Akio Hashimoto2, Tomoya Nakamura2, Shinichiro Hiraiwa3, Haruhiro Sato4, Yoshinobu Sato5, Takuma Tajiri3, Akira Miyajima6.   

Abstract

The present study evaluated three-dimensional shear wave elastography (3D SWE) in the detection of clinically significant prostate cancer. Clinically significant prostate cancer was defined by a minimum of one biopsy core with a Gleason score of 3+4 or 6 with a maximum cancer core length >4 mm. Patients with serum prostate-specific antigen levels of 4.0-20.0 ng/ml who were suspected of having prostate cancer from multi-parametric magnetic resonance imaging (mpMRI) were prospectively recruited. The 3D SWE was performed pre-biopsy, after which patients underwent MRI-transrectal ultrasound image-guided targeted biopsies for cancer-suspicious lesions and 12-core systematic biopsies. The pathological biopsy results were compared with the mpMRI and 3D SWE images. A total of 12 patients who were suspected of having significant cancer on mpMRI were included. The median pre-biopsy PSA value was 5.65 ng/ml. Of the 12 patients, 10 patients were diagnosed as having prostate cancer. In the targeted biopsy lesions, there was a significant difference in Young's modulus between the cancer-detected area (median 64.1 kPa, n=20) and undetected area (median 30.8 kPa, n=8; P<0.0001). On evaluation of receiver operating characteristics, a cut-off value of the Young's modulus of 41.0 kPa was used for the detection of clinically significant cancer, with which the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of cancer detection were 58, 97, 86 and 87%, respectively. When combining this cut-off tissue elasticity value with Prostate Imaging Reporting and Data System (PI-RADS) scores, the sensitivity, specificity, positive predictive value and negative predictive value of cancer detection were improved to 70, 98, 91 and 92%, respectively. In the cancer-detected lesions, a significant correlation was identified between the tissue elasticity value of the lesions and Gleason score (r=0.898, P<0.0001). In conclusion, PI-RADS combined with measurement of Young's modulus by 3D SWE may improve the diagnosis of clinically significant prostate cancer.

Entities:  

Keywords:  cancer detection; clinically significant cancer; fusion image-guided biopsy; magnetic resonance imaging; prostate cancer; shear wave elastography; three-dimensional ultrasonography

Year:  2018        PMID: 29541458      PMCID: PMC5838310          DOI: 10.3892/br.2018.1059

Source DB:  PubMed          Journal:  Biomed Rep        ISSN: 2049-9434


  21 in total

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Review 1.  Development and future prospective of treatment for localized prostate cancer with high-intensity focused ultrasound.

Authors:  Sunao Shoji; Norihiro Koizumi; Soichiro Yuzuriha; Tatsuo Kano; Takahiro Ogawa; Mayura Nakano; Masayoshi Kawakami; Masahiro Nitta; Masanori Hasegawa; Akira Miyajima
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2.  Shear wave elastography as a potential additional diagnostic tool in primary Sjögren's syndrome: an observational study.

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Journal:  Rheumatol Int       Date:  2022-05-04       Impact factor: 3.580

Review 3.  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

4.  Experimental evidence of shear waves in fractional viscoelastic rheological models.

Authors:  Antonio Gomez; Antonio Callejas; Guillermo Rus; Nader Saffari
Journal:  Sci Rep       Date:  2022-05-06       Impact factor: 4.996

5.  Automated multiparametric localization of prostate cancer based on B-mode, shear-wave elastography, and contrast-enhanced ultrasound radiomics.

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

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Authors:  Adam Gurwin; Kamil Kowalczyk; Klaudia Knecht-Gurwin; Paweł Stelmach; Łukasz Nowak; Wojciech Krajewski; Tomasz Szydełko; Bartosz Małkiewicz
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Review 8.  Ultrasound elastography.

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Authors:  Wael Ageeli; Cheng Wei; Xinyu Zhang; Magdalena Szewcyk-Bieda; Jennifer Wilson; Chunhui Li; Ghulam Nabi
Journal:  Insights Imaging       Date:  2021-07-08
  9 in total

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