Literature DB >> 24371107

Strain elastography for prediction of breast cancer tumor grades.

Joseph R Grajo1, Richard G Barr.   

Abstract

OBJECTIVES: The purpose of this study was to determine whether the elasticity imaging/B-mode ratio on strain elastography can predict breast cancer tumor grades.
METHODS: A retrospective review of patients with breast lesions who underwent strain elastography and had a diagnosis of breast cancer by image-guided or surgical biopsy was performed. The axis of the maximum elastographic dimension was compared to the B-mode dimension to form an elasticity imaging/B-mode ratio. Lesions were categorized according to their pathologic type, including atypical ductal hyperplasia (ADH), mucinous or colloid cancer, ductal carcinoma in situ (DCIS), grade I invasive ductal carcinoma (IDC), grade II IDC, grade III IDC, invasive lobular carcinoma (ILC), and lymphoma. The mean elasticity imaging/B-mode ratio of each tumor type was calculated. The elasticity imaging/B-mode ratio of the tumor was compared to the tumor type by Kruskal-Wallis and Tukey-Kramer tests (lymphoma and ADH excluded because of small numbers).
RESULTS: Tumor grades included lymphoma (n = 3), ADH (n = 2), mucinous cancer (n = 11), DCIS (n = 19), IDC (grades I-III; n = 200), and ILC (n = 31). The mean elasticity imaging/B-mode ratio varied with increasing tumor grade. Tumor grades could not have been selected at random from one population (P < .0001, χ(2) test). Invasive lobular carcinoma and grade III IDC were statistically different from mucinous or colloid cancer, DCIS, and grade I and II IDC.
CONCLUSIONS: The elasticity imaging/B-mode ratio on strain elastography is related to the tumor grade.

Entities:  

Keywords:  breast; breast cancer; breast ultrasound; elastography; strain; tumor grade

Mesh:

Year:  2014        PMID: 24371107     DOI: 10.7863/ultra.33.1.129

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  6 in total

Review 1.  Strain Elastography - How To Do It?

Authors:  Christoph F Dietrich; Richard G Barr; André Farrokh; Manjiri Dighe; Michael Hocke; Christian Jenssen; Yi Dong; Adrian Saftoiu; Roald Flesland Havre
Journal:  Ultrasound Int Open       Date:  2017-12-07

2.  Combining Virtual Touch Tissue Imaging and BI-RADS May Improve Solid Breast Lesion Evaluation.

Authors:  Size Wu; Xiaojing Cui; Li Huang; Xuefei Bai
Journal:  Breast Care (Basel)       Date:  2017-04-20       Impact factor: 2.860

3.  Development and Validation of an MRI Radiomics-Based Signature to Predict Histological Grade in Patients with Invasive Breast Cancer.

Authors:  Shihui Wang; Yi Wei; Zhouli Li; Jingya Xu; Yunfeng Zhou
Journal:  Breast Cancer (Dove Med Press)       Date:  2022-10-14

Review 4.  Principles of ultrasound elastography.

Authors:  Arinc Ozturk; Joseph R Grajo; Manish Dhyani; Brian W Anthony; Anthony E Samir
Journal:  Abdom Radiol (NY)       Date:  2018-04

5.  Diagnostic and Predictive Values of Strain Ratios in the Regions of Interests in Reference Tissue for Breast Tumor.

Authors:  Hui Wang; Cui-Ying Li; Hai-Ling Zha; Di Xu; Zhi-Bin Hu
Journal:  Cancer Manag Res       Date:  2021-02-04       Impact factor: 3.989

Review 6.  Ultrasound elastography.

Authors:  Xin-Wu Cui; Kang-Ning Li; Ai-Jiao Yi; Bin Wang; Qi Wei; Ge-Ge Wu; Christoph F Dietrich
Journal:  Endosc Ultrasound       Date:  2022-05-02       Impact factor: 5.275

  6 in total

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