Literature DB >> 26576788

Stereoscopic images of breast tumors using 3D real-time tissue elastography.

Sachiyo Konno1, Etsuo Takada2, Natsuki Ejiri2, Misaki Kawamata2, Naotoshi Takase2, Yoshimasa Nakazato3, Keisuke Suzuki4, Hidehiro Takekawa2,4.   

Abstract

PURPOSE: This study aimed at evaluating the usefulness of 3D real-time tissue elastography (RTE) images for diagnosing breast tumors.
METHODS: A total of 166 breast tumor patients who underwent conventional ultrasound and 2D and 3D RTE examinations were retrospectively analyzed. The 3D RTE images were divided into three types according to the occupancy of blue contrast images. Elastic scores (ES) were obtained by 2D RTE examination. The diagnostic accuracy of 3D and 2D RTE images in differentiating malignant from benign breast tumors was evaluated.
RESULTS: Of all cases, 89.4 % of the malignant cases were Type 3 and 86.6 % of the benign cases were Type 1 or 2 according to 3D RTE images. 3D RTE Type 3 and ES ≥ 4 on 2D RTE examination diagnosed malignant tumors with an accuracy of 87.4 and 88.6 %, respectively. In addition, among 34 patients with an ES of 3, the presence of 3D RTE Type 3 diagnosed malignant tumors with an accuracy of 82.4 %.
CONCLUSION: In this study, the utility of 3D RTE images was comparable to that of ES on 2D RTE examination in differentiating malignant from benign breast tumors. In addition, utilizing 3D RTE images in cases with an ES of 3 on 2D RTE may increase the diagnostic accuracy for breast tumors.

Entities:  

Keywords:  3D elastography; 3D imaging; Breast ultrasonography; Elastography

Mesh:

Year:  2015        PMID: 26576788     DOI: 10.1007/s10396-015-0618-4

Source DB:  PubMed          Journal:  J Med Ultrason (2001)        ISSN: 1346-4523            Impact factor:   1.314


  7 in total

1.  Current improvements in breast ultrasound, with a special focus on elastography.

Authors:  Eriko Tohno; Ei Ueno
Journal:  Breast Cancer       Date:  2008       Impact factor: 4.239

2.  Real time tissue elasticity imaging using the combined autocorrelation method.

Authors:  Tsuyoshi Shiina; Naotaka Nitta; Ei Ueno; Jeffrey C Bamber
Journal:  J Med Ultrason (2001)       Date:  2002-09       Impact factor: 1.314

3.  A role for elastography in the diagnosis of breast lesions by measuring the maximum fat lesion ratio (max-FLR) by tissue Doppler imaging.

Authors:  Katsumi Ikeda; Yoshinari Ogawa; Mamiko Takii; Kenji Sugano; Tetsuro Ikeya; Shinya Tokunaga; Yukio Nishiguchi; Teruyuki Ikehara
Journal:  Breast Cancer       Date:  2011-05-13       Impact factor: 4.239

4.  2005 Guidelines for ultrasonic diagnosis of breast diseases regarding the mass image-forming types.

Authors: 
Journal:  J Med Ultrason (2001)       Date:  2005-09       Impact factor: 1.314

5.  Elastographic evaluation of mucinous carcinoma of the breast.

Authors:  Miki Mori; Hiroko Tsunoda; Nobue Kawauchi; Mari Kikuchi; Satoshi Honda; Koyu Suzuki; Hideko Yamauchi
Journal:  Breast Cancer       Date:  2011-06-04       Impact factor: 4.239

6.  Breast disease: clinical application of US elastography for diagnosis.

Authors:  Ako Itoh; Ei Ueno; Eriko Tohno; Hiroshi Kamma; Hideto Takahashi; Tsuyoshi Shiina; Makoto Yamakawa; Takeshi Matsumura
Journal:  Radiology       Date:  2006-02-16       Impact factor: 11.105

7.  Ultrasound real-time elastography can predict malignancy in BI-RADS®-US 3 lesions.

Authors:  Sebastian Wojcinski; Esther Boehme; André Farrokh; Philipp Soergel; Friedrich Degenhardt; Peter Hillemanns
Journal:  BMC Cancer       Date:  2013-03-27       Impact factor: 4.430

  7 in total

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