Document Detail


Dynamic magnetic resonance imaging in determining histopathological prognostic factors of invasive breast cancers.
MedLine Citation:
PMID:  15664283     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
OBJECTIVE: To evaluate the relation between morphological features and enhancement parameters in dynamic contrast-enhanced magnetic resonance (DCE-MR) imaging with histopathological prognostic factors. MATERIALS AND METHODS: Fifty-five patients with surgicopathological diagnosis of breast carcinoma were evaluated with 1.0 T MR scanner as a part of their preoperative diagnostic work-up. Dynamic studies were performed in axial plane using 3D fast low angle shot (FLASH) sequence. Time intensity curves (TICs) were obtained from the regions showing maximal enhancement in subtraction images. The correlations between enhancement parameters and histopathological findings were analyzed using stepwise multiple regression analysis, Student's t-test, chi(2)-tests and Pearson's moment correlation coefficient. RESULTS: Significant correlations were found between the presence of lymph node metastasis and tumor size (P < 0.05) and edge characteristics (P < 0.05). A highly significant correlation was found between histopathological grades and qualitative enhancement patterns (r = 0.403, P < 0.01). Statistically significant differences were found between the groups with and without lymph node metastasis regarding enhancement in the first minute (P < 0.01) and TIC slope (P < 0.05). A significant difference was found between the histopathological grades I and III regarding all quantitative enhancement parameters, whereas no difference was found between the grades I-II, and II-III. CONCLUSION: DCE-MR imaging helps to predict prognostic factors of breast cancer by revealing morphological features and enhancement parameters of the primary tumor. Additional morphological factors further improve our ability to predict lymphatic metastasis.
Authors:
Nermin Tuncbilek; Hakki Muammer Karakas; Ozerk Omur Okten
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  European journal of radiology     Volume:  53     ISSN:  0720-048X     ISO Abbreviation:  Eur J Radiol     Publication Date:  2005 Feb 
Date Detail:
Created Date:  2005-01-24     Completed Date:  2005-06-02     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8106411     Medline TA:  Eur J Radiol     Country:  Ireland    
Other Details:
Languages:  eng     Pagination:  199-205     Citation Subset:  IM    
Affiliation:
Department of Radiology, Trakya University Medical Faculty, Edirne, Turkey. drtuncbilek@hotmail.com
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MeSH Terms
Descriptor/Qualifier:
Adult
Aged
Aged, 80 and over
Analysis of Variance
Breast Neoplasms / pathology*
Chi-Square Distribution
Contrast Media
Female
Humans
Image Processing, Computer-Assisted
Imaging, Three-Dimensional
Magnetic Resonance Imaging / methods*
Middle Aged
Neoplasm Invasiveness
Prognosis
Regression Analysis
Chemical
Reg. No./Substance:
0/Contrast Media

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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