Literature DB >> 32768322

Correlation Analysis of Conventional Ultrasound Characteristics and Strain Elastography with Ki-67 Status in Breast Cancer.

Jianqiang Fang1, Weian Zhao1, Qing Li1, Binyu Zhang1, Cui Pu1, Hao Wang2.   

Abstract

Our objectives were to measure the relationships between conventional ultrasound features, strain elastography in breast cancer and Ki-67 index and to identify parameters that predict Ki-67 index. We included 181 lesions of 178 patients who underwent surgery for breast cancer at Xianyang Central Hospital. In multivariate logistic regression analysis, strain elastography and axillary-node metastasis showed significant Ki-67 index values; the overall theoretical prediction percentage correct was 75.7%. Strain elastography showed that the median Ki-67 index in the hard group was higher than that in the soft group, and the Ki-67 index increased with increasing elasticity score. This finding may guide ultrasound-guided breast tumor biopsy for selection of puncture regions. The combined use of the Ki-67 index for strain-elastography prediction and puncture-biopsy pathology reports may increase the accuracy of clinical treatment.
Copyright © 2020. Published by Elsevier Inc.

Entities:  

Keywords:  Axillary-node metastasis; Breast cancer; Ki-67; Strain imaging; Ultrasound elastography

Year:  2020        PMID: 32768322     DOI: 10.1016/j.ultrasmedbio.2020.06.024

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  2 in total

1.  Evaluation of the Property of Axillary Lymph Nodes and Analysis of Lymph Node Metastasis Factors in Breast Cancer by Ultrasound Elastography.

Authors:  Jia Zhou; Qingyu Zhang; Qi Zhang; Lei Yan; Qing Gao
Journal:  Comput Math Methods Med       Date:  2022-06-03       Impact factor: 2.809

2.  Multimodal Imaging under Artificial Intelligence Algorithm for the Diagnosis of Liver Cancer and Its Relationship with Expressions of EZH2 and p57.

Authors:  Yamin Zhang; Jie Cui; Wei Wan; Jinpeng Liu
Journal:  Comput Intell Neurosci       Date:  2022-03-14
  2 in total

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