Literature DB >> 28154989

Can strain elastography combined with ultrasound breast imaging reporting and data system be a more effective method in the differentiation of benign and malignant breast lesions?

Serdar Arslan1,2, Nihal Uslu3, Funda Ulu Ozturk3, Eda Yilmaz Akcay4, Tugan Tezcaner5, Ahmet Muhtesem Agildere3.   

Abstract

PURPOSE: To investigate whether a novel method that combines breast imaging reporting and data system (BI-RADS) with strain elastography contributes to diagnostic performance in differentiation of malignant and benign breast lesions.
METHODS: In 81 patients, 81 breast lesions were prospectively investigated. Breast lesions were separately evaluated with ultrasonography and strain elastography. While evaluations with ultrasonography were based on 2003 BI-RADS-US, strain elastography evaluations were based on a 5-point scale and strain ratio. Diagnostic performances of ultrasonography, strain elastography, and the combined method were compared.
RESULTS: Among 81 lesions, 43 (53.1%) were benign and 38 (46.9%) were malignant. When a cutoff point of category 3 was used, sensitivity, specificity, positive and negative predictive values, and accuracy for BI-RADS were 100, 11.6, 50, 100, and 53%, respectively. When BI-RADS and strain ratio were combined, sensitivity, specificity, positive and negative predictive values, and accuracy were 89.5, 93, 91.9, 90.9, and 91.3%, respectively. When BI-RADS and elastography scores were combined, sensitivity, specificity, positive and negative predictive values, and accuracy were 86.8, 97.7, 97.1, 89.4, and 92.5%, respectively.
CONCLUSIONS: The combination of strain elastography and BI-RADS was found to have better diagnostic performances to diagnose breast lesions than BI-RADS alone.

Entities:  

Keywords:  Benign; Breast imaging reporting and data system; Breast lesions; Malignant; Strain elastography

Mesh:

Year:  2017        PMID: 28154989     DOI: 10.1007/s10396-017-0772-y

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


  22 in total

1.  Biopsy rate and positive predictive value for breast cancer in BI-RADS category 4 breast lesions.

Authors:  Cholatip Wiratkapun; Weeraya Bunyapaiboonsri; Bussanee Wibulpolprasert; Panuwat Lertsithichai
Journal:  J Med Assoc Thai       Date:  2010-07

2.  Clinical value of relative quantification ultrasound elastography in characterizing breast tumors.

Authors:  Alfonso Fausto; Domenico Rubello; Alice Carboni; Paola Mastellari; Sotirios Chondrogiannis; Luca Volterrani
Journal:  Biomed Pharmacother       Date:  2015-09-20       Impact factor: 6.529

3.  Ultrasound Elastography Combined With BI-RADS-US Classification System: Is It Helpful for the Diagnostic Performance of Conventional Ultrasonography?

Authors:  Shao-Yun Hao; Qiong-Chao Jiang; Wen-Jing Zhong; Xin-Bao Zhao; Ji-Yi Yao; Lu-Jing Li; Bao-Ming Luo; Bing Ou; Hui Zhi
Journal:  Clin Breast Cancer       Date:  2015-11-10       Impact factor: 3.225

4.  Elastography: a quantitative method for imaging the elasticity of biological tissues.

Authors:  J Ophir; I Céspedes; H Ponnekanti; Y Yazdi; X Li
Journal:  Ultrason Imaging       Date:  1991-04       Impact factor: 1.578

5.  Sonoelastography findings for idiopathic granulomatous mastitis.

Authors:  Afak Durur-Karakaya; Irmak Durur-Subasi; Mufide Nuran Akcay; Sare Sipal; Bülent Guvendi
Journal:  Jpn J Radiol       Date:  2014-12-03       Impact factor: 2.374

6.  Comparison of shear-wave and strain ultrasound elastography in the differentiation of benign and malignant breast lesions.

Authors:  Jung Min Chang; Jae-Kyung Won; Kyoung-Bun Lee; In Ae Park; Ann Yi; Woo Kyung Moon
Journal:  AJR Am J Roentgenol       Date:  2013-08       Impact factor: 3.959

7.  Ultrasonic elastography in breast cancer diagnosis: strain ratio vs 5-point scale.

Authors:  Hui Zhi; Xiao-Yun Xiao; Hai-Yun Yang; Bing Ou; Yan-Ling Wen; Bao-Ming Luo
Journal:  Acad Radiol       Date:  2010-07-22       Impact factor: 3.173

8.  Subcategorization of ultrasonographic BI-RADS category 4: positive predictive value and clinical factors affecting it.

Authors:  Jung Hyun Yoon; Min Jung Kim; Hee Jung Moon; Jin Young Kwak; Eun-Kyung Kim
Journal:  Ultrasound Med Biol       Date:  2011-03-31       Impact factor: 2.998

9.  Percutaneous imaging-guided core breast biopsy: 5 years' experience in a community hospital.

Authors:  F R Margolin; J W Leung; R P Jacobs; S R Denny
Journal:  AJR Am J Roentgenol       Date:  2001-09       Impact factor: 3.959

10.  Could ultrasonic elastography help the diagnosis of breast cancer with the usage of sonographic BI-RADS classification?

Authors:  Shao-Yun Hao; Bing Ou; 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; Hui Zhi; Bao-Ming Luo
Journal:  Eur J Radiol       Date:  2015-09-06       Impact factor: 3.528

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  3 in total

1.  Design and Implementation of a Heating Treatment System for Vitiligo Skin Disease Based on Medical Ultrasound.

Authors:  Juanjuan Gao; Fei Tian; Chong Lyu; Xianhua Qiao
Journal:  J Healthc Eng       Date:  2021-03-09       Impact factor: 2.682

2.  Diagnostic Value of Elastography, Strain Ratio, and Elasticity to B-Mode Ratio and Color Doppler Ultrasonography in Breast Lesions.

Authors:  Mahnaz Ranjkesh; Farid Hajibonabi; Fatemeh Seifar; Mohammad Kazem Tarzamni; Behzad Moradi; Zhila Khamnian
Journal:  Int J Gen Med       Date:  2020-05-25

3.  Interobserver and intermethod variability in data interpretation of breast strain elastography in suspicious breast lesions

Authors:  Hale Turnaoğlu; Kemal Murat Haberal; Serdar Arslan; Meriç Yavuz Çolak; Funda Ulu Öztürk; Nihal Uslu
Journal:  Turk J Med Sci       Date:  2021-04-30       Impact factor: 0.973

  3 in total

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