Literature DB >> 26895755

Evaluation of Malignancy Grade of Breast Cancer Using Perflubutane-Enhanced Ultrasonography.

Norio Masumoto1, Takayuki Kadoya1, Ai Amioka1, Keiko Kajitani1, Hideo Shigematsu1, Akiko Emi1, Kazuo Matsuura1, Koji Arihiro2, Morihito Okada3.   

Abstract

Whether the contrast effects of perflubutane on contrast-enhanced ultrasonography can predict the malignancy grade of breast cancer is unknown. We analyzed associations between perfusion parameters created from time-intensity curves based on enhancement intensity and temporal changes in contrast-enhanced ultrasonography and clinicopathologic factors in 100 consecutive patients with invasive breast cancer. Values of perfusion parameters were significantly greater in estrogen receptor-negative than -positive tumors (peak intensity, p = 0.0002; ascending slope, p = 0.006; area under the curve, p = 0.0006). Variations in the peak intensity of Ki-67 were significantly correlated in all tumors (r = 0.54, p < 0.0001) and in luminal (r = 0.43, p = 0.0002), human epidermal growth factor receptor type 2-positive (r = 0.47, p = 0.047) and triple-negative (r = 0.55, p = 0.043) tumors. Perfusion parameters on contrast-enhanced ultrasonography can provide excellent predictive value for high-grade malignancy and might help to determine appropriate therapeutic strategies.
Copyright © 2016 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast cancer; Estrogen receptor; Molecular subtype; Time–intensity curve; Ultrasonography

Mesh:

Substances:

Year:  2016        PMID: 26895755     DOI: 10.1016/j.ultrasmedbio.2015.12.023

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


  5 in total

1.  Ultrasonography Combined With Contrast-enhanced Ultrasonography Can Predict Lymphocyte-predominant Breast Cancer.

Authors:  Kayo Fukui; Norio Masumoto; Erika Yokoyama; Akiko Kanou; Michiya Yokozaki; Shinsuke Sasada; Akiko Emi; Takayuki Kadoya; Koji Arihiro; Morihito Okada
Journal:  Cancer Diagn Progn       Date:  2021-07-03

2.  Identify the triple-negative and non-triple-negative breast cancer by using texture features of medicale ultrasonic image: A STROBE-compliant study.

Authors:  Qingyu Chen; Jianguo Xia; Jun Zhang
Journal:  Medicine (Baltimore)       Date:  2021-06-04       Impact factor: 1.817

Review 3.  Progress in the clinical detection of heterogeneity in breast cancer.

Authors:  Jun-Long Song; Chuang Chen; Jing-Ping Yuan; Sheng-Rong Sun
Journal:  Cancer Med       Date:  2016-10-24       Impact factor: 4.452

4.  Association between contrast-enhanced ultrasonography and histopathological findings of the metastatic lymph nodes of patients with head and neck cancer: A preliminary study.

Authors:  Shin-Ichi Oikawa; Kiyoto Shiga; Daisuke Saito; Katsunori Katagiri; Aya Ikeda; Kodai Tuchida; Jun Miyaguchi; Kazuyuki Ishida; Tamotsu Sugai
Journal:  Oncol Lett       Date:  2018-01-22       Impact factor: 2.967

5.  Theranostic Attributes of Acoustic Cluster Therapy and Its Use for Enhancing the Effectiveness of Liposomal Doxorubicin Treatment of Human Triple Negative Breast Cancer in Mice.

Authors:  Nigel Bush; Andrew Healey; Anant Shah; Gary Box; Vladimir Kirkin; Sue Eccles; Per Christian Sontum; Spiros Kotopoulis; Svein Kvåle; Annemieke van Wamel; Catharina de Lange Davies; Jeffrey Bamber
Journal:  Front Pharmacol       Date:  2020-02-20       Impact factor: 5.810

  5 in total

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