Prediction of invasiveness of invasive ductal carcinoma of the breast using contrast-enhanced ultrasound perfusion defect characteristics combined with EMT gene and angiogenesis regulatory network

Xinrong LI, Jiayi REN, Daoxiu HU, Jingwei CAO, Yaodong CHEN, Wu CHEN

PDF(1344 KB)
  • 中国科技核心期刊（中国科技论文统计源期刊）
  • 《中国学术期刊（光盘版）》收录期刊
  • 《中国核心期刊（遴选）数据库》收录期刊
  • 中国学术期刊综合评价数据库（CAJCED）统计源期刊
  • 美国《乌利希期刊指南》（Ulrichsweb）来源期刊
Journal of Molecular Imaging ›› 2025, Vol. 48 ›› Issue (5) : 562-568. DOI: 10.12122/j.issn.1674-4500.2025.05.05

Prediction of invasiveness of invasive ductal carcinoma of the breast using contrast-enhanced ultrasound perfusion defect characteristics combined with EMT gene and angiogenesis regulatory network

    {{javascript:window.custom_author_en_index=0;}}
  • {{article.zuoZhe_EN}}
Author information +
History +

HeighLight

{{article.keyPoints_en}}

Abstract

{{article.zhaiyao_en}}

Key words

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations
{{article.zuoZheEn_L}}. {{article.title_en}}. {{journal.qiKanMingCheng_EN}}. 2025, 48(5): 562-568 https://doi.org/10.12122/j.issn.1674-4500.2025.05.05

References

Publishing order | Descend order by publishing year | Descend order by cited within

References

{{article.reference}}

Funding

RIGHTS & PERMISSIONS

{{article.copyrightStatement_en}}
{{article.copyrightLicense_en}}
PDF(1344 KB)

Accesses

Citation

Detail
Sections
Recommended

Website copyright © 2022 Journal of Molecular Imaging

Address: No. 1838, North Guangzhou Avenue, Guangzhou, Guangdong. Tel: 020-61648176

This system is developed by Beijing magtec Technology Development Co., Ltd

/

〈 〉