Literature DB >> 12968962

Evaluation of tumor angiogenesis with contrast-enhanced dynamic magnetic resonance mammography.

Nermin Tuncbilek1, Ercument Unlu, Hakki M Karakas, Bilge Cakir, Filiz Ozyilmaz.   

Abstract

The goal of this research was to correlate dynamic magnetic resonance (MR) mammographic contrast enhancement and microvessel densities in breast masses. Forty-six female patients with breast masses detected by mammography and/or ultrasonography were included in the study. MR contrast enhancements of the lesions were investigated dynamically using axial three-dimensional fast low-angle shot sequences. After excisional biopsy or mastectomy, immunohistochemical staining with factor VIII-RA was performed, followed by microvessel density measurements. Contrast enhancement patterns in dynamic MR mammography were compared with microvessel density measurements using Student's t-test, Pearson's moment correlation coefficients, and one-way analysis of variance (ANOVA). Malignant lesions exhibited three different enhancement patterns: 1) a peak enhancement within 120 seconds (early phase), followed by a decrease in the delayed phase (25 cases); 2) an increase in the early phase, followed by a plateau in the delayed phase (9 cases); and 3) an increase throughout the examination without any peak (5 cases). In benign lesions, signal intensity did not exhibited a peak in five cases, whereas in two cases enhancement was increased in the early phase and made a plateau in the delayed phase. A significant correlation was found between microvessel density and the percentage of maximal signal increase following paramagnetic contrast administration (r=0.322, p<0.05). Dynamic enhancement patterns and rates of maximal signal increase predict microvessel density in breast malignancies and may possibly be used as prognostic indicators.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12968962     DOI: 10.1046/j.1524-4741.2003.09508.x

Source DB:  PubMed          Journal:  Breast J        ISSN: 1075-122X            Impact factor:   2.431


  12 in total

1.  Computed tomography for imaging the breast.

Authors:  John M Boone; Alex L C Kwan; Kai Yang; George W Burkett; Karen K Lindfors; Thomas R Nelson
Journal:  J Mammary Gland Biol Neoplasia       Date:  2006-04       Impact factor: 2.673

2.  Pharmacokinetic analysis of ductal carcinoma in situ of the breast using dynamic MR mammography.

Authors:  Keiko Oshida; Takeshi Nagashima; Takuya Ueda; Hiroshi Yagata; Naoto Tanabe; Shigeharu Nakano; Takashi Nikaidou; Hiroyuki Funatsu; Hideyuki Hashimoto; Masaru Miyazaki
Journal:  Eur Radiol       Date:  2005-03-24       Impact factor: 5.315

3.  MRI kinetics with volumetric analysis in correlation with hormonal receptor subtypes and histologic grade of invasive breast cancers.

Authors:  Lester Chee Hao Leong; Eva C Gombos; Jayender Jagadeesan; Stephanie Man Chung Fook-Chong
Journal:  AJR Am J Roentgenol       Date:  2015-03       Impact factor: 3.959

4.  Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage.

Authors:  Elizabeth S Burnside; Karen Drukker; Hui Li; Ermelinda Bonaccio; Margarita Zuley; Marie Ganott; Jose M Net; Elizabeth J Sutton; Kathleen R Brandt; Gary J Whitman; Suzanne D Conzen; Li Lan; Yuan Ji; Yitan Zhu; Carl C Jaffe; Erich P Huang; John B Freymann; Justin S Kirby; Elizabeth A Morris; Maryellen L Giger
Journal:  Cancer       Date:  2015-11-30       Impact factor: 6.860

Review 5.  The choice of the correct imaging modality in breast cancer management.

Authors:  Emilio Bombardieri; Luca Gianni
Journal:  Eur J Nucl Med Mol Imaging       Date:  2004-05-04       Impact factor: 9.236

6.  Real-time electrical impedance variations in women with and without breast cancer.

Authors:  Ryan J Halter; Alex Hartov; Steven P Poplack; Roberta diFlorio-Alexander; Wendy A Wells; Kari M Rosenkranz; Richard J Barth; Peter A Kaufman; Keith D Paulsen
Journal:  IEEE Trans Med Imaging       Date:  2014-07-24       Impact factor: 10.048

7.  Significance of breast lesion descriptors in the ACR BI-RADS MRI lexicon.

Authors:  Garima Agrawal; Min-Ying Su; Orhan Nalcioglu; Stephen A Feig; Jeon-Hor Chen
Journal:  Cancer       Date:  2009-04-01       Impact factor: 6.860

8.  Adding contrast-enhanced ultrasound markers to conventional axillary ultrasound improves specificity for predicting axillary lymph node metastasis in patients with breast cancer.

Authors:  Li-Wen Du; Hong-Li Liu; Hai-Yan Gong; Li-Jun Ling; Shui Wang; Cui-Ying Li; Min Zong
Journal:  Br J Radiol       Date:  2020-12-22       Impact factor: 3.039

9.  Comparison of Dynamic Contrast-Enhanced MRI and PET/CT in the Evaluation of Laryngeal Cancer After Inadequate CT Results.

Authors:  Serdal Citil; Serap Dogan; Hasan Ikbal Atilgan; Mehmet Sait Menzilcioglu; Tuna Sahin; Ummuhan Abdulrezzak; Mahmut Duymus; Mustafa Ozturk
Journal:  Pol J Radiol       Date:  2015-09-13

10.  Preoperative dynamic breast magnetic resonance imaging kinetic features using computer-aided diagnosis: Association with survival outcome and tumor aggressiveness in patients with invasive breast cancer.

Authors:  Sang Yu Nam; Eun Sook Ko; Yaeji Lim; Boo-Kyung Han; Eun Young Ko; Ji Soo Choi; Jeong Eon Lee
Journal:  PLoS One       Date:  2018-04-12       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.