Literature DB >> 23345347

Assessing the role of ultrasound in predicting the biological behavior of breast cancer.

Abid Irshad1, Rebecca Leddy, Etta Pisano, Nathaniel Baker, Madelene Lewis, Susan Ackerman, Amy Campbell.   

Abstract

OBJECTIVE: The purpose of this article is to correlate various ultrasound features of breast cancer with tumor grade, and with estrogen, progesterone, and ERRB2 (formerly HER2) receptor status as well as to assess the predictive value of these features.
MATERIALS AND METHODS: The features of breast cancers found by using ultrasound between January 2010 and June 2011 were reviewed for tumor size, margins, and posterior acoustic features. The tumor margins were classified into spiculated, angular, indistinct, lobulated or microlobulated, and circumscribed. The posterior acoustic features were classified into shadowing, enhancement, mixed pattern, and no change. The individual features were correlated with the estrogen receptor (ER)-progesterone receptor (PR) and ERRB2 receptor status and tumor grade.
RESULTS: Among 160 patients with breast cancer, 102 (63.8%) were ER-positive/PR-positive, 32 (20.0%) were ER-positive/PR-negative, and 26 (16.3%) were ER-negative/PR-negative (22 were triple-negative). Tumors with posterior shadowing have greater than nine times the odds of having ER-positive findings (95% CI, 2.09-40.81; p = 0.011) and greater than 13 times the odds of having a lower-grade tumor (I or II vs III; 95% CI, 4.90-36.54; p < 0.001) than those without posterior shadowing. Tumors with posterior enhancement have greater than eight times the odds of having at least one negative receptor (95% CI, 3.97-18.11; p < 0.001) and 24 times the odds of having a high-grade tumor (95% CI, 9.91-58.14; p < 0.001) than those without posterior enhancement.
CONCLUSION: The presence of posterior shadowing is strongly associated with an ER-positive and low-grade tumor, whereas the presence of posterior enhancement is strongly associated with a high-grade tumor and with moderate risk of being receptor negative.

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Year:  2013        PMID: 23345347     DOI: 10.2214/AJR.12.8781

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  17 in total

1.  The role of ultrasonographic findings to predict molecular subtype, histologic grade, and hormone receptor status of breast cancer.

Authors:  Filiz Çelebi; Kezban Nur Pilancı; Çetin Ordu; Filiz Ağacayak; Gül Alço; Serkan İlgün; Dauren Sarsenov; Zeynep Erdoğan; Vahit Özmen
Journal:  Diagn Interv Radiol       Date:  2015 Nov-Dec       Impact factor: 2.630

2.  Ultrasound evaluation of ductal carcinoma in situ of the breast.

Authors:  Marco Moschetta; Angela Sardaro; Adriana Nitti; Michele Telegrafo; Nicola Maggialetti; Arnaldo Scardapane; Maria Chiara Brunese; Valentina Lavelli; Cristina Ferrari
Journal:  J Ultrasound       Date:  2021-01-06

3.  Computer-aided assessment of tumor grade for breast cancer in ultrasound images.

Authors:  Dar-Ren Chen; Cheng-Liang Chien; Yan-Fu Kuo
Journal:  Comput Math Methods Med       Date:  2015-02-24       Impact factor: 2.238

4.  Identifying ultrasound and clinical features of breast cancer molecular subtypes by ensemble decision.

Authors:  Lei Zhang; Jing Li; Yun Xiao; Hao Cui; Guoqing Du; Ying Wang; Ziyao Li; Tong Wu; Xia Li; Jiawei Tian
Journal:  Sci Rep       Date:  2015-06-05       Impact factor: 4.379

Review 5.  Molecular subtypes and imaging phenotypes of breast cancer.

Authors:  Nariya Cho
Journal:  Ultrasonography       Date:  2016-07-21

6.  Predicting the molecular subtype of breast cancer based on mammography and ultrasound findings.

Authors:  S Rashmi; S Kamala; S Sudha Murthy; Swapna Kotha; Y Suhas Rao; K Veeraiah Chaudhary
Journal:  Indian J Radiol Imaging       Date:  2018 Jul-Sep

7.  Association between Ultrasound Features and the 21-Gene Recurrence Score Assays in Patients with Oestrogen Receptor-Positive, HER2-Negative, Invasive Breast Cancer.

Authors:  Eun Young Chae; Woo Kyung Moon; Hak Hee Kim; Won Hwa Kim; Joo Hee Cha; Hee Jung Shin; Woo Jung Choi; Wonshik Han; Dong-Young Noh; Sae Byul Lee; Sei Hyun Ahn
Journal:  PLoS One       Date:  2016-06-30       Impact factor: 3.240

8.  Sonographic features of invasive ductal breast carcinomas predictive of malignancy grade.

Authors:  Kanika Gupta; Meenakshisundaram Kumaresan; Bhuvaneswari Venkatesan; Tushar Chandra; Aruna Patil; Maya Menon
Journal:  Indian J Radiol Imaging       Date:  2018 Jan-Mar

9.  Triple-negative invasive breast carcinoma: the association between the sonographic appearances with clinicopathological feature.

Authors:  Jia-Wei Li; Kai Zhang; Zhao-Ting Shi; Xun Zhang; Juan Xie; Jun-Ying Liu; Cai Chang
Journal:  Sci Rep       Date:  2018-06-13       Impact factor: 4.379

10.  Radiomics of US texture features in differential diagnosis between triple-negative breast cancer and fibroadenoma.

Authors:  Si Eun Lee; Kyunghwa Han; Jin Young Kwak; Eunjung Lee; Eun-Kyung Kim
Journal:  Sci Rep       Date:  2018-09-10       Impact factor: 4.379

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