Literature DB >> 33558449

Characterisation of Prostate Lesions Using Transrectal Shear Wave Elastography (SWE) Ultrasound Imaging: A Systematic Review.

Thineskrishna Anbarasan1, Cheng Wei2, Jeffrey C Bamber3, Richard G Barr4, Ghulam Nabi2.   

Abstract

BACKGROUND: ultrasound-based shear wave elastography (SWE) can non-invasively assess prostate tissue stiffness. This systematic review aims to evaluate SWE for the detection of prostate cancer (PCa) and compare diagnostic estimates between studies reporting the detection of all PCa and clinically significant PCa (csPCa).
METHODS: a literature search was performed using the MEDLINE, EMBASE, Cochrane Library, ClinicalTrials.gov, and CINAHL databases. Studies evaluating SWE for the detection of PCa using histopathology as reference standard were included.
RESULTS: 16 studies including 2277 patients were included for review. Nine studies evaluated SWE for the detection of PCa using systematic biopsy as a reference standard at the per-sample level, with a pooled sensitivity and specificity of 0.85 (95% CI = 0.74-0.92) and 0.85 (95% CI = 0.75-0.91), respectively. Five studies evaluated SWE for the detection of PCa using histopathology of radical prostatectomy (RP) specimens as the reference standard, with a pooled sensitivity and specificity of 0.71 (95% CI = 0.55-0.83) and 0.74 (95% CI = 0.42-0.92), respectively. Sub-group analysis revealed a higher pooled sensitivity (0.77 vs. 0.62) and specificity (0.84 vs. 0.53) for detection of csPCa compared to all PCa among studies using RP specimens as the reference standard.
CONCLUSION: SWE is an attractive imaging modality for the detection of PCa.

Entities:  

Keywords:  prostate cancer; shear wave elastography; ultrasound

Year:  2021        PMID: 33558449     DOI: 10.3390/cancers13010122

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  3 in total

1.  [Image-guided biopsy of the prostate gland].

Authors:  August Sigle; Jakob Michaelis; Dominik Schöb; Matthias Benndorf; Lars Schimmöller; Benedikt Becker; Maximilian Pallauf; Andreas J Gross; Thomas R W Herrmann; Jan-Thorsten Klein; Lukas Lusuardi; Christopher Netsch; Axel Häcker; Jens Westphal; Cordula Jilg; Christian Gratzke; Arkadiusz Miernik
Journal:  Urologie       Date:  2022-08-30

2.  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 3.  The challenge of prostate biopsy guidance in the era of mpMRI detected lesion: ultrasound-guided versus in-bore biopsy.

Authors:  Auke Jager; Joan C Vilanova; Massimo Michi; Hessel Wijkstra; Jorg R Oddens
Journal:  Br J Radiol       Date:  2021-07-29       Impact factor: 3.039

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.