Literature DB >> 17541358

[Elastography of the breast: a prospective study of 122 lesions].

A Tardivon1, C El Khoury, F Thibault, A Wyler, B Barreau, S Neuenschwander.   

Abstract

OBJECTIVE: To evaluate elastography in the characterization of breast nodules.
MATERIAL AND METHODS: Elastography (Hitachi, 7.5- to 13-MHz probe; Ueno classification, scores 1-3=benign, 4-5=malignant) was evaluated in 125 subclinical lesions in 114 patients. The results were compared to those of the ACR's BI-RADS sonography categories (benign=2 and 3, malignant=4 and 5) and to the results of the percutaneous samples taken and/or surgery (122 lesions evaluated, 59%<10 mm, 61 cancers, 61 benign lesions).
RESULTS: There were three technical failures (2.4%). The elastography was in agreement with histology for 101 lesions, with 13 false-negative results and eight false-positive results (sensitivity, 78.7%; specificity, 86.9%; PPV, 85.7%; NPV, 80.3%); versus agreement with the BI-RADS classification for 98 lesions with one false-negative result and 23 false-positive results (sensitivity, 98.4%; specificity, 47.5%; PPV, 65.2%; NPV, 96.7%).
CONCLUSION: Elastography is a simple and rapid complementary method that can improve the specificity and the PPV of morphological imaging studies of breast nodules with a low level of suspicion (BI-RADS categories 3 and 4a), which should decrease the rate of unnecessary benign biopsies.

Entities:  

Mesh:

Year:  2007        PMID: 17541358     DOI: 10.1016/s0221-0363(07)89872-6

Source DB:  PubMed          Journal:  J Radiol        ISSN: 0221-0363


  10 in total

1.  Sonoelastography for 1,786 non-palpable breast masses: diagnostic value in the decision to biopsy.

Authors:  Ann Yi; Nariya Cho; Jung Min Chang; Hye Ryoung Koo; Bo La Yun; Woo Kyung Moon
Journal:  Eur Radiol       Date:  2011-11-25       Impact factor: 5.315

2.  Role of sonoelastography in characterising breast nodules. Preliminary experience with 120 lesions.

Authors:  E Regini; S Bagnera; D Tota; P Campanino; A Luparia; F Barisone; M Durando; G Mariscotti; G Gandini
Journal:  Radiol Med       Date:  2010-02-22       Impact factor: 3.469

3.  Ultrasonographic elastography of the breast using acoustic radiation force impulse technology: preliminary study.

Authors:  Mitsuhiro Tozaki; Sachiko Isobe; Miki Yamaguchi; Yukari Ogawa; Kanako Homma; Masahiro Saito; Chanwoong Joo; Eisuke Fukuma
Journal:  Jpn J Radiol       Date:  2011-07-24       Impact factor: 2.374

4.  Value of Strain Elastography Ultrasound in Differentiation of Breast Masses and Histopathologic Correlation.

Authors:  Aysun Okar Atabey; Erkin Arıbal; Rabia Ergelen; Handan Kaya
Journal:  J Breast Health       Date:  2014-10-01

5.  Combination of elastography and tissue quantification using the acoustic radiation force impulse (ARFI) technology for differential diagnosis of breast masses.

Authors:  Mitsuhiro Tozaki; Sachiko Isobe; Masaaki Sakamoto
Journal:  Jpn J Radiol       Date:  2012-07-18       Impact factor: 2.374

6.  In-vitro Strain and Modulus Measurements in Porcine Cervical Lymph Nodes.

Authors:  Queeny Wing-Han Yuen; Yong-Ping Zheng; Yan-Ping Huang; Jun-Feng He; James Chung-Wai Cheung; Michael Ying
Journal:  Open Biomed Eng J       Date:  2011-03-30

7.  Sonoelastography in distinguishing benign from malignant complex breast mass and making the decision to biopsy.

Authors:  Mi Young Kim; Nariya Cho; Ann Yi; Hye Ryoung Koo; Bo La Yun; Woo Kyung Moon
Journal:  Korean J Radiol       Date:  2013-07-17       Impact factor: 3.500

8.  Ultrasonic Elastography Research Based on a Multicenter Study: Adding Strain Ratio after 5-Point Scoring Evaluation or Not.

Authors:  Wen-Jie Mu; Wen-Jing Zhong; Ji-Yi Yao; Lu-Jing Li; Yu-Lan Peng; Yi Wang; Li-Sha Liu; Ying Xiao; Shou-Jun Liu; Chang-Jun Wu; Yu-Xin Jiang; Shyam Sundar Parajuly; Ping Xu; Yi Hao; Jing Li; Bao-Ming Luo; Hui Zhi
Journal:  PLoS One       Date:  2016-02-10       Impact factor: 3.240

9.  The Added Value of Color Parameters in Analyzing Elastographic Images of Ultrasound Detected Breast Focal Lesions.

Authors:  Maria Magdalena Duma; Angelica Rita Chiorean; Diana Sorina Feier; Madalina Florea; Marco Chiorean; Georgeta Mihaela Rusu; Sorin Marian Dudea; Silviu Andrei Sfrangeu
Journal:  Clujul Med       Date:  2015-01-28

10.  Breast Diagnosis: Concordance Analysis Between the BI-RADS Classification and Tsukuba Sonoelastography Score.

Authors:  Maria Magdalena Duma; Angelica Rita Chiorean; Marco Chiorean; Sorana Daniela Bolboaca; Madalina Florea; Diana Sorina Feier; Georgeta Mihaela Rusu; Silviu Andrei Sfrangeu
Journal:  Clujul Med       Date:  2014-11-12
  10 in total

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