Literature DB >> 32651770

Can strain US-elastography with strain ratio (SRE) improve the diagnostic accuracy in the assessment of breast lesions? Preliminary results.

Daniela Elia1, Daniele Fresilli2, Patrizia Pacini2, Sara Cardaccio2, Giorgia Polti2, Olga Guiban2, Ilaria Celletti2, Eriselda Kutrolli2, Carlo De Felice2, Rossella Occhiato2, Corrado De Vito3, Maria Ida Amabile4, Alessandro De Luca4, Vito D'Andrea4, Massimo Vergine4, Federica Pediconi2, Ferdinando D'Ambrosio2, Vito Cantisani2.   

Abstract

PURPOSE: To assess the diagnostic value of strain ratio elastography (SRE), a semiquantitative elastosonographic method based on the displacement of the tissue from an external source (manual compression with the transducer), as compared and in combination with conventional ultrasound for the differentiation of breast lesions.
METHODS: One hundred and eighty-two patients with breast lesions consecutively underwent B-mode, color Doppler US, and strain US-elastography. Each lesion was classified according to the BI-RADS lexicon by evaluating the size, the B-mode, and color Doppler features and then evaluated by SRE. Histology proven by biopsy was used as the gold standard and the patients with malignant lesions subsequently underwent operations. The diagnostic performance of each method was assessed with 2 × 2 contingency tables and ROC curve analysis. To maximize the SRE sensitivity and specificity, the SRE cut-off value was calculated using the Youden test.
RESULTS: Histological examination revealed 66 benign and 116 malignant breast lesions. The conventional ultrasound showed sensitivity and specificity for the differentiation of benign and malignant lesions of 86.2% and 75.8%, respectively. Similar results were found for strain US-elastography with a cut-off of 2.49, with sensitivity and specificity of 89.7% and 72.7%, respectively. The association of conventional ultrasound with the SRE value increased the sensitivity (98.3%) but decreased the specificity compared with conventional US alone (63.6%).
CONCLUSION: Strain US-elastography can be associated with BI-RADS US examination. According to our preliminary results, it helped increase the sensitivity although it decreased the specificity. However, further multicenter studies on a larger population are warranted.

Entities:  

Keywords:  BI-RADS; Breast lesions; Strain US-elastography; Strain ratio; Ultrasound

Mesh:

Year:  2020        PMID: 32651770      PMCID: PMC8137748          DOI: 10.1007/s40477-020-00505-3

Source DB:  PubMed          Journal:  J Ultrasound        ISSN: 1876-7931


  26 in total

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2.  Prospective Evaluation of Semiquantitative Strain Ratio and Quantitative 2D Ultrasound Shear Wave Elastography (SWE) in Association with TIRADS Classification for Thyroid Nodule Characterization.

Authors:  Vito Cantisani; Emanuele David; Hektor Grazhdani; Antonello Rubini; Maija Radzina; Christoph F Dietrich; Cosimo Durante; Livia Lamartina; Giorgio Grani; Ascoli Valeria; Daniela Bosco; Cira Di Gioia; Fabrizio Maria Frattaroli; Vito D'Andrea; Corrado De Vito; Daniele Fresilli; Ferdinando D'Ambrosio; Laura Giacomelli; Carlo Catalano
Journal:  Ultraschall Med       Date:  2019-05-28       Impact factor: 6.548

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Review 5.  Growing indications for CEUS: The kidney, testis, lymph nodes, thyroid, prostate, and small bowel.

Authors:  V Cantisani; M Bertolotto; H P Weskott; L Romanini; H Grazhdani; M Passamonti; F M Drudi; F Malpassini; A Isidori; F M Meloni; F Calliada; F D'Ambrosio
Journal:  Eur J Radiol       Date:  2015-05-14       Impact factor: 3.528

6.  The EFSUMB Guidelines and Recommendations for the Clinical Practice of Elastography in Non-Hepatic Applications: Update 2018.

Authors:  Adrian Săftoiu; Odd Helge Gilja; Paul S Sidhu; Christoph F Dietrich; Vito Cantisani; Dominique Amy; Michael Bachmann-Nielsen; Flaviu Bob; Jörg Bojunga; Marko Brock; Fabrizio Calliada; Dirk André Clevert; Jean-Michel Correas; Mirko D'Onofrio; Caroline Ewertsen; André Farrokh; Daniela Fodor; Pietro Fusaroli; Roald Flesland Havre; Michael Hocke; André Ignee; Christian Jenssen; Andrea Sabine Klauser; Christian Kollmann; Maija Radzina; Kumar V Ramnarine; Luca Maria Sconfienza; Carolina Solomon; Ioan Sporea; Horia Ștefănescu; Mickael Tanter; Peter Vilmann
Journal:  Ultraschall Med       Date:  2019-06-25       Impact factor: 6.548

7.  Semi-quantitative and qualitative assessment of breast ultrasound elastography in differentiating between malignant and benign lesions.

Authors:  Sharifah Majedah Idrus Alhabshi; Kartini Rahmat; Nurazidawati Abdul Halim; Suraya Aziz; Sridharan Radhika; Gek Choo Gan; Anushya Vijayananthan; Caroline Judy Westerhout; Mohammad Nazri Mohd-Shah; Saladina Jaszle; Nani Harlina Mohd Latar; Rohaizak Muhammad
Journal:  Ultrasound Med Biol       Date:  2013-02-04       Impact factor: 2.998

8.  EFSUMB guidelines and recommendations on the clinical use of ultrasound elastography. Part 2: Clinical applications.

Authors:  D Cosgrove; F Piscaglia; J Bamber; J Bojunga; J-M Correas; O H Gilja; A S Klauser; I Sporea; F Calliada; V Cantisani; M D'Onofrio; E E Drakonaki; M Fink; M Friedrich-Rust; J Fromageau; R F Havre; C Jenssen; R Ohlinger; A Săftoiu; F Schaefer; C F Dietrich
Journal:  Ultraschall Med       Date:  2013-04-19       Impact factor: 6.548

9.  Computer-aided diagnostic system for thyroid nodule sonographic evaluation outperforms the specificity of less experienced examiners.

Authors:  Daniele Fresilli; Giorgio Grani; Maria Luna De Pascali; Gregorio Alagna; Eleonora Tassone; Valeria Ramundo; Valeria Ascoli; Daniela Bosco; Marco Biffoni; Marco Bononi; Vito D'Andrea; Fabrizio Frattaroli; Laura Giacomelli; Yana Solskaya; Giorgia Polti; Patrizia Pacini; Olga Guiban; Raffaele Gallo Curcio; Marcello Caratozzolo; Vito Cantisani
Journal:  J Ultrasound       Date:  2020-04-03

10.  S-Detect characterization of focal solid breast lesions: a prospective analysis of inter-reader agreement for US BI-RADS descriptors.

Authors:  Tommaso Vincenzo Bartolotta; Alessia Angela Maria Orlando; Maria Laura Di Vittorio; Francesco Amato; Mariangela Dimarco; Domenica Matranga; Raffaele Ienzi
Journal:  J Ultrasound       Date:  2020-05-23
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  2 in total

Review 1.  Methods for the segmentation and classification of breast ultrasound images: a review.

Authors:  Ademola E Ilesanmi; Utairat Chaumrattanakul; Stanislav S Makhanov
Journal:  J Ultrasound       Date:  2021-01-11

2.  Ultrasound evaluation of ductal carcinoma in situ of the breast.

Authors:  Marco Moschetta; Angela Sardaro; Adriana Nitti; Michele Telegrafo; Nicola Maggialetti; Arnaldo Scardapane; Maria Chiara Brunese; Valentina Lavelli; Cristina Ferrari
Journal:  J Ultrasound       Date:  2021-01-06
  2 in total

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