Literature DB >> 30253431

Correlations Between Ultrasonographic Findings of Invasive Lobular Carcinoma of the Breast and Intrinsic Subtypes.

Xin Wen1,2, Yingjiao Yu3, Xiwen Yu4, Wen Cheng2, Zhuozhong Wang5, Lin Liu6, Lei Zhang1, Ling Qin7, Jiawei Tian1.   

Abstract

PURPOSE: To analyze the ultrasonographic findings of invasive lobular carcinoma (ILC) of the breast in 360 women and the correlations between the characteristics and the intrinsic subtypes.
MATERIALS AND METHODS: We evaluated the imaging findings according to the lexicon of the American College of Radiology Breast Imaging Reporting and Data System (BI-RADS). The included ultrasonographic features were shape, orientation, margin, echo pattern, posterior features, calcifications, the vascularity of the masses and the presence of architectural distortions. The associations between those features and the intrinsic ILC subtypes were investigated.
RESULTS: The most common manifestations of ILC on ultrasound (US) were hypoechoic masses with irregular shape, parallel orientation, spiculated margin, posterior acoustic shadowing, no calcification and blood vessels in the rim. The patients in the luminal A subtype were the youngest, and the patients in the HER2 overexpression subtype were the oldest (p = 0.01). On US, the HER2 overexpression subtype was characterized by microlobulated margins (p = 0.002), while the luminal A subtype and the luminal B subtype mostly had spiculated margins. The basal-like subtype was distinctive in that it had no posterior features (p = 0.041), rather than acoustic shadowing, and the masses in the HER2 and basal-like subtypes were larger than in the other two groups (p = 0.03).
CONCLUSION: There were significant differences and several trends in the ultrasonographic characteristics of different intrinsic subtypes, which may supply accurate imaging diagnostic criteria to assist in the management of individuals with ILC. © Georg Thieme Verlag KG Stuttgart · New York.

Entities:  

Year:  2018        PMID: 30253431     DOI: 10.1055/a-0715-1668

Source DB:  PubMed          Journal:  Ultraschall Med        ISSN: 0172-4614            Impact factor:   6.548


  5 in total

1.  Preoperative Non-Invasive Prediction of Breast Cancer Molecular Subtypes With a Deep Convolutional Neural Network on Ultrasound Images.

Authors:  Chunxiao Li; Haibo Huang; Ying Chen; Sihui Shao; Jing Chen; Rong Wu; Qi Zhang
Journal:  Front Oncol       Date:  2022-07-18       Impact factor: 5.738

2.  Multimodality imaging in lobular breast cancer: Differences in mammography, ultrasound, and MRI in the assessment of local tumor extent and correlation with molecular characteristics.

Authors:  Bartosz Dołęga-Kozierowski; Michał Lis; Hanna Marszalska-Jacak; Mateusz Koziej; Marcin Celer; Małgorzata Bandyk; Piotr Kasprzak; Bartłomiej Szynglarewicz; Rafał Matkowski
Journal:  Front Oncol       Date:  2022-08-22       Impact factor: 5.738

3.  Prediction model of axillary lymph node status using automated breast ultrasound (ABUS) and ki-67 status in early-stage breast cancer.

Authors:  Qiucheng Wang; Bo Li; Zhao Liu; Haitao Shang; Hui Jing; Hua Shao; Kexin Chen; Xiaoshuan Liang; Wen Cheng
Journal:  BMC Cancer       Date:  2022-08-28       Impact factor: 4.638

4.  Invasive lobular carcinoma mammographic findings: correlation with age, breast composition, and tumour size.

Authors:  Corrado Tagliati; Federico Cerimele; Antonietta Di Martino; Fabrizio Capone; Marialuisa Di Matteo; Nevia Caputo; Gabriella Lucidi Pressanti; Ying Mingliang; Silvia Baldassarre; Andrea Giovagnoni; Gian Marco Giuseppetti
Journal:  Pol J Radiol       Date:  2021-06-11

5.  Ultrasonographic appearance of triple-negative invasive breast carcinoma is associated with novel molecular subtypes based on transcriptomic analysis.

Authors:  Jia-Wei Li; Na Li; Yi-Zhou Jiang; Yi-Rong Liu; Zhao-Ting Shi; Cai Chang; Zhi-Ming Shao
Journal:  Ann Transl Med       Date:  2020-04
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.