Literature DB >> 16684920

Differentiating benign from malignant solid breast masses: comparison of two-dimensional and three-dimensional US.

Nariya Cho1, Woo Kyung Moon, Joo Hee Cha, Sun Mi Kim, Boo-Kyung Han, Eun-Kyung Kim, Mi Hye Kim, Soo Young Chung, Hye-Young Choi, Jung-Gi Im.   

Abstract

PURPOSE: To compare prospectively obtained static two-dimensional (2D) and three-dimensional (3D) ultrasonographic (US) images in the diagnostic performance of radiologists with respect to the differentiation of benign from malignant solid breast masses with histopathologic examination as the reference standard.
MATERIALS AND METHODS: This study had institutional review board approval, and patient informed consent was obtained. Conventional 2D and 3D US images were obtained from 141 patients (age range, 25-71 years; mean age, 46 years) with 150 solid breast masses (60 cancers and 90 benign lesions) before excisonal or needle biopsy. Four radiologists who had not performed the examinations independently reviewed 2D US images and stored 3D US data and provided a level of suspicion concerning probability of malignancy. The sensitivity, specificity, and negative predictive values of 2D images were compared with those of 3D US images.
RESULTS: For all readers, 3D US images were the same as or better than 2D US images in terms of sensitivity (100% vs 100% for reader 1; 100% vs 98% for reader 2; 98% vs 93% for reader 3; 93% vs 92% for reader 4), specificity (58% vs 56% for reader 1; 51% vs 46% for reader 2; 83% vs 72% for reader 3; 86% vs 84% for reader 4), and negative predictive values (100% vs 100% for reader 1; 100% vs 98% for reader 2; 99% vs 94% for reader 3; 95% vs 94% for reader 4). These differences, however, were not statistically significant (P > .05).
CONCLUSION: The performance of the radiologists with respect to the characterization of solid breast masses with static 2D US images was similar to that with 3D US data. RSNA, 2006

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Year:  2006        PMID: 16684920     DOI: 10.1148/radiol.2401050743

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  12 in total

1.  Classification of benign and malignant breast masses based on shape and texture features in sonography images.

Authors:  Fahimeh Sadat Zakeri; Hamid Behnam; Nasrin Ahmadinejad
Journal:  J Med Syst       Date:  2010-11-17       Impact factor: 4.460

2.  Off-site evaluation of three-dimensional ultrasound for the diagnosis of thyroid nodules: comparison with two-dimensional ultrasound.

Authors:  Soo Chin Kim; Ji-Hoon Kim; Seung Hong Choi; Tae Jin Yun; Jae Yeon Wi; Sun Ah Kim; Hye Young Sun; Inseon Ryoo; Sun-Won Park; Chul-Ho Sohn
Journal:  Eur Radiol       Date:  2016-01-22       Impact factor: 5.315

3.  Comparison between different imaging techniques in the evaluation of malignant breast lesions: can 3D ultrasound be useful?

Authors:  Paola Clauser; Viviana Londero; Giuseppe Como; Rossano Girometti; Massimo Bazzocchi; Chiara Zuiani
Journal:  Radiol Med       Date:  2013-12-03       Impact factor: 3.469

4.  Breast Sonography - 2D, 3D, 4D Ultrasound or Elastography?

Authors:  Christian Weismann; Christian Mayr; Heike Egger; Alena Auer
Journal:  Breast Care (Basel)       Date:  2011-04-29       Impact factor: 2.860

5.  Three-dimensional shear-wave elastography for differentiating benign and malignant breast lesions: comparison with two-dimensional shear-wave elastography.

Authors:  Ji Hyun Youk; Hye Mi Gweon; Eun Ju Son; Jin Chung; Jeong-Ah Kim; Eun-Kyung Kim
Journal:  Eur Radiol       Date:  2012-12-02       Impact factor: 5.315

6.  Differentiation of benign from malignant solid breast masses: comparison of two-dimensional and three-dimensional shear-wave elastography.

Authors:  Su Hyun Lee; Jung Min Chang; Won Hwa Kim; Min Sun Bae; Nariya Cho; Ann Yi; Hye Ryoung Koo; Seung Ja Kim; Jin You Kim; Woo Kyung Moon
Journal:  Eur Radiol       Date:  2012-10-20       Impact factor: 5.315

7.  Comparison of automated breast volume scanning to hand-held ultrasound and mammography.

Authors:  Zhi Li Wang; Jian Hong Xu; Jian Hong Xw; Jun Lai Li; Yan Huang; Jie Tang
Journal:  Radiol Med       Date:  2012-06-28       Impact factor: 3.469

8.  Acoustic beam anomalies in automated breast imaging.

Authors:  Rungroj Jintamethasawat; Xiaohui Zhang; Paul L Carson; Marilyn A Roubidoux; Oliver D Kripfgans
Journal:  J Med Imaging (Bellingham)       Date:  2017-10-12

9.  Correlation between three-dimensional ultrasound features and pathological prognostic factors in breast cancer.

Authors:  Jun Jiang; Ya-qing Chen; Yi-zhuan Xu; Ming-li Chen; Yun-kai Zhu; Wen-bin Guan; Xiao-jin Wang
Journal:  Eur Radiol       Date:  2014-04-12       Impact factor: 5.315

10.  The Spatial Relationship of Malignant and Benign Breast Lesions with Respect to the Fat-Gland Interface on Magnetic Resonance Imaging.

Authors:  Won Hwa Kim; MuLan Li; Wonshik Han; Han Suk Ryu; Woo Kyung Moon
Journal:  Sci Rep       Date:  2016-12-14       Impact factor: 4.379

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