Literature DB >> 26375726

Virtual Touch quantification using acoustic radiation force impulse (ARFI) technology for the evaluation of focal solid renal lesions: preliminary findings.

Q Lu1, J-X Wen1, B-J Huang2, L-Y Xue1, W-P Wang1.   

Abstract

AIM: To evaluate potential value of Virtual Touch quantification (VTQ) of acoustic radiation force impulse (ARFI) imaging for characterising focal solid renal lesions.
MATERIALS AND METHODS: Two independent operators performed 10 and five measurements of each lesion and adjacent renal cortex, respectively. Mean shear wave velocity (SWV) and shear wave velocity ratio (SWR) of histotypes were compared.
RESULTS: One hundred and ninety-seven renal lesions were evaluated, including 155 renal cell carcinomas (RCCs; 129 clear-cell RCCs [ccRCCs], 14 papillary RCCs [pRCCs], and 12 chromophobe RCCs [cRCCs]) and 42 angiomyolipomas (AMLs). The interoperator reproducibility of SWV of renal tumours and renal cortex were good (ICC=0.852, and 0.903, respectively). SWV of the renal cortex at a depth of <4 cm was significant higher than that at a depth of >4 cm. Regardless of the subtypes of RCC, SWV and SWR of RCCs differed significantly from those of AMLs (2.28±0.85 versus 1.98±0.85; 1.09±0.56 versus 0.78±0.34; p=0.045 and p<0.001, respectively). At cut-off points of SWV >1.87 m/s or SWR >0.84 to differentiate RCCs from AMLs, the sensitivity and specificity were 47.5%, 33.2% or 47.5%, 30.2%, respectively. When the subtypes of RCCs were taken into account, SWV and SWR of ccRCCs were significantly higher than those of pRCCs, cRCCs, and AMLs, while there was no significant difference among the latter. With SWV >1.98 m/s or SWR >0.80 as the cut-off point to differentiate ccRCCs from other renal tumours, the sensitivity and specificity were 69.8%, 65% or 76.8%, 73.4%, respectively.
CONCLUSION: The ARFI technique offers additional information regarding renal tumour elasticity with good reproducibility. SWV and SWR are potential biomarkers in this setting, helping to differentiate ccRCC from other renal tumour histotypes.
Copyright © 2015 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2015        PMID: 26375726     DOI: 10.1016/j.crad.2015.08.002

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  7 in total

1.  Point Shear Wave Elastography Using Machine Learning to Differentiate Renal Cell Carcinoma and Angiomyolipoma.

Authors:  Hersh Sagreiya; Alireza Akhbardeh; Dandan Li; Rosa Sigrist; Benjamin I Chung; Geoffrey A Sonn; Lu Tian; Daniel L Rubin; Jürgen K Willmann
Journal:  Ultrasound Med Biol       Date:  2019-05-25       Impact factor: 2.998

Review 2.  [Innovative ultrasound-based diagnosis of renal tumors].

Authors:  K F Stock; J Slotta-Huspenina; H Kübler; M Autenrieth
Journal:  Urologe A       Date:  2019-12       Impact factor: 0.639

3.  Can contrast-enhanced ultrasound and acoustic radiation force impulse imaging characterize CT-indeterminate renal masses? A prospective evaluation with histological confirmation.

Authors:  Wolfgang M Thaiss; Jens Bedke; Stephan Kruck; Daniel Spira; Arnulf Stenzl; Konstantin Nikolaou; Marius Horger; Sascha Kaufmann
Journal:  World J Urol       Date:  2018-10-15       Impact factor: 4.226

Review 4.  Principles of ultrasound elastography.

Authors:  Arinc Ozturk; Joseph R Grajo; Manish Dhyani; Brian W Anthony; Anthony E Samir
Journal:  Abdom Radiol (NY)       Date:  2018-04

5.  Differential diagnosis of <3 cm renal tumors by ultrasonography: a rapid, quantitative, elastography self-corrected contrast-enhanced ultrasound imaging mode beyond screening.

Authors:  Di Sun; Qijie Lu; Cong Wei; Yi Li; Yuanyi Zheng; Bing Hu
Journal:  Br J Radiol       Date:  2020-06-09       Impact factor: 3.039

6.  Intra- and inter-operator reproducibility of US point shear-wave elastography in various organs: evaluation in phantoms and healthy volunteers.

Authors:  Riwa Kishimoto; Katsuhiko Kikuchi; Atsuhisa Koyama; Jeff Kershaw; Tokuhiko Omatsu; Yasuhiko Tachibana; Mikio Suga; Takayuki Obata
Journal:  Eur Radiol       Date:  2019-05-14       Impact factor: 5.315

7.  Can acoustic radiation force impulse imaging (ARFI) accurately diagnose renal masses?: A protocol of systematic review and meta-analysis.

Authors:  Jiang-Feng Wu; Li-Jing Ge; Xiao-Bo Ye; Yue Sun; Yun-Lai Wang; Zheng-Ping Wang
Journal:  Medicine (Baltimore)       Date:  2020-07-31       Impact factor: 1.817

  7 in total

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