Literature DB >> 26550070

Positive impact of elastography in breast cancer diagnosis: an institutional experience.

Andrea Botticelli1, Eva Mazzotti1, Domenica Di Stefano2, Viviana Petrocelli3, Federica Mazzuca1, Marco La Torre4, Francesca Romana Ciabatta1, Rosaria Maria Giovagnoli1, Paolo Marchetti1, Adriana Bonifacino3.   

Abstract

Elastography (ES) is a technique that, when associated with traditional B mode ultrasound (US), allows the degree of elasticity of tissue to be evaluated according to a color scale system. The aims of the study were to compare the diagnostic characteristics of two widely used techniques adopted in breast cancer screening; US and color Doppler (CD), with those of the same two techniques plus ES, and assessment of the same diagnostic characteristics when the three methods were applied to lesions < or >1 cm. Methods used included subjecting 212 women to investigations aimed at the early diagnosis of breast cancer outside the screening model, whereby 395 lesions were detected by US, ES, and CD, with a definitive diagnosis proved by histological exam. The diagnostic performance of US, ES, CD, and their combinations was calculated. The results showed that comparing the diagnostic characteristics of the three methods with reference to the definitive histological results for malignant breast lesions, the best diagnostic accuracy was obtained when US, ES, and CD were combined (0.837). For lesions <1 cm, diagnostic accuracy was 0.782, and for those >1 cm, it was 0.886. In the lesions <1 cm, which were more difficult to study, a positive ES score (>4) appeared to be sufficient to deepen the diagnosis, even though 35 % of the ES or US positive lesions were not malignant. By contrast, in lesions >1 cm, the probability of having a malignant lesion when all three tests were positive was very high (97 %). It was concluded that early diagnosis is a key factor in breast cancer, so an economically sustainable, non-invasive pathway is the target of diagnostic breast imaging.

Entities:  

Keywords:  Breast cancer; Diagnostic accuracy; Elastography; ROC analysis; Screening

Year:  2015        PMID: 26550070      PMCID: PMC4630277          DOI: 10.1007/s40477-015-0177-y

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


  18 in total

Review 1.  Sonographic breast elastography: a primer.

Authors:  Richard G Barr
Journal:  J Ultrasound Med       Date:  2012-05       Impact factor: 2.153

2.  Real-time ultrasound elasticity of the breast: initial clinical results.

Authors:  Richard G Barr
Journal:  Ultrasound Q       Date:  2010-06       Impact factor: 1.657

Review 3.  Imaging the elastic properties of tissue: the 20 year perspective.

Authors:  K J Parker; M M Doyley; D J Rubens
Journal:  Phys Med Biol       Date:  2010-11-30       Impact factor: 3.609

4.  Differentiating benign from malignant solid breast masses with US strain imaging.

Authors:  Elizabeth S Burnside; Timothy J Hall; Amy M Sommer; Gina K Hesley; Gale A Sisney; William E Svensson; Jason P Fine; Jinfeng Jiang; Nicholas J Hangiandreou
Journal:  Radiology       Date:  2007-11       Impact factor: 11.105

5.  Evaluation of breast lesions using sonographic elasticity imaging: a multicenter trial.

Authors:  Richard G Barr; Stamatia Destounis; Logan B Lackey; William E Svensson; Corinne Balleyguier; Carmel Smith
Journal:  J Ultrasound Med       Date:  2012-02       Impact factor: 2.153

6.  Elastosonography in the diagnosis of the nodular breast lesions: preliminary report.

Authors:  Gian Marco Giuseppetti; Alberto Martegani; Barbara Di Cioccio; Silvia Baldassarre
Journal:  Radiol Med       Date:  2005 Jul-Aug       Impact factor: 3.469

Review 7.  Core needle biopsy (CNB) as a diagnostic method for breast lesions: comparison with fine needle aspiration cytology (FNA).

Authors:  Tetsunari Oyama; Yukio Koibuchi; Grace McKee
Journal:  Breast Cancer       Date:  2004       Impact factor: 4.239

8.  Use of BI-RADS 3-probably benign category in the American College of Radiology Imaging Network Digital Mammographic Imaging Screening Trial.

Authors:  Janet K Baum; Lucy G Hanna; Suddhasatta Acharyya; Mary C Mahoney; Emily F Conant; Lawrence W Bassett; Etta D Pisano
Journal:  Radiology       Date:  2011-04-18       Impact factor: 11.105

9.  Breast tumor classification using axial shear strain elastography: a feasibility study.

Authors:  Arun Thitaikumar; Louise M Mobbs; Christina M Kraemer-Chant; Brian S Garra; Jonathan Ophir
Journal:  Phys Med Biol       Date:  2008-08-13       Impact factor: 3.609

Review 10.  Guidelines from the European Society of Breast Imaging for diagnostic interventional breast procedures.

Authors:  Matthew Wallis; Anne Tardivon; Anne Tarvidon; Thomas Helbich; Ingrid Schreer
Journal:  Eur Radiol       Date:  2007-02       Impact factor: 7.034

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  5 in total

1.  Automated classification of focal breast lesions according to S-detect: validation and role as a clinical and teaching tool.

Authors:  Mattia Di Segni; Valeria de Soccio; Vito Cantisani; Giacomo Bonito; Antonello Rubini; Gabriele Di Segni; Sveva Lamorte; Valentina Magri; Corrado De Vito; Giuseppe Migliara; Tommaso Vincenzo Bartolotta; Alessio Metere; Laura Giacomelli; Carlo de Felice; Ferdinando D'Ambrosio
Journal:  J Ultrasound       Date:  2018-04-21

2.  Speed of sound in rubber-based materials for ultrasonic phantoms.

Authors:  A Cafarelli; P Miloro; A Verbeni; M Carbone; A Menciassi
Journal:  J Ultrasound       Date:  2016-04-21

3.  Evaluating the role of strain ratio elastography in determining malignancy potential and calculating objective BIRADS US scores using ultrasonography and elastography features.

Authors:  Deniz Özel; Betül Duran Özel
Journal:  Pol J Radiol       Date:  2018-06-08

4.  A multicenter study of a contrast-enhanced ultrasound diagnostic classification of breast lesions.

Authors:  Lina Tang; Yijie Chen; Zhongshi Du; Zhaoming Zhong; Qin Chen; Lichun Yang; Ruoxia Shen; Yan Cheng; Zizhen Zhang; Ehui Han; Zhihong Lv; Lijun Yuan; Yong Yang; Yinrong Cheng; Lei Yang; Shengli Wang; Baoyan Bai; Jun Luo
Journal:  Cancer Manag Res       Date:  2019-03-15       Impact factor: 3.989

5.  Median nerve evaluation by shear wave elastosonography: impact of "bone-proximity" hardening artifacts and inter-observer agreement.

Authors:  Chandra Bortolotto; Elena Turpini; Paolo Felisaz; Daniele Fresilli; Ilaria Fiorina; Maria Vittoria Raciti; Elena Belloni; Olivia Bottinelli; Vito Cantisani; Fabrizio Calliada
Journal:  J Ultrasound       Date:  2017-11-17
  5 in total

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