Literature DB >> 9571944

Contrast-enhanced MR imaging as a prognostic indicator of breast cancer.

B Boné1, P Aspelin, L Bronge, B Veress.   

Abstract

BACKGROUND: Using contrast-enhanced MR imaging in the diagnosis of breast cancer may provide additional information not only on tumor extension but also on the biological behavior of tumors. Thus certain characteristics such as tumor angiogenesis and the proliferating activity of the tumor, which have been shown to correlate significantly with prognosis, are both potentially amenable to analysis by MR imaging.
MATERIAL AND METHODS: We compared contrast enhancement in 50 malignant breast tumors at MR imaging to several prognostic factors, such as tumor size, lymph-node status, histological grade of malignancy, tumor angiogenesis, and proliferating activity as shown by the mitotic count and PCNA immunoreactivity.
RESULTS: There was significant correlation between contrast enhancement at MR imaging of breast cancer and both tumor angiogenesis and proliferative cellular activity as shown by PCNA immunoreactivity. Furthermore, there was a correlation between contrast enhancement and tumor malignancy grade as well as tumor invasiveness.
CONCLUSION: These observations suggest that contrast enhancement at MR imaging may be influenced by factors that have prognostic value. If this assumption is correct, contrast-enhanced MR imaging may become a valuable prognostic tool in the pre-operative evaluation of breast cancers.

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Year:  1998        PMID: 9571944     DOI: 10.1080/02841859809172195

Source DB:  PubMed          Journal:  Acta Radiol        ISSN: 0284-1851            Impact factor:   1.990


  11 in total

1.  Characterizing and eliminating errors in enhancement and subtraction artifacts in dynamic contrast-enhanced breast MRI: Chemical shift artifact of the third kind.

Authors:  Jamal J Derakhshan; Elizabeth S McDonald; Evan S Siegelman; Mitchell D Schnall; Felix W Wehrli
Journal:  Magn Reson Med       Date:  2017-08-24       Impact factor: 4.668

2.  Correlation between voxel-wise enhancement parameters on DCE-MRI and pathological prognostic factors in invasive breast cancers.

Authors:  Rubina Manuela Trimboli; Marina Codari; Katia Khouri Chalouhi; Ileana Ioan; Giovanna Lo Bue; Arianna Ottini; Daniela Casolino; Luca Alessandro Carbonaro; Francesco Sardanelli
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3.  Computerized three-class classification of MRI-based prognostic markers for breast cancer.

Authors:  Neha Bhooshan; Maryellen Giger; Darrin Edwards; Yading Yuan; Sanaz Jansen; Hui Li; Li Lan; Husain Sattar; Gillian Newstead
Journal:  Phys Med Biol       Date:  2011-08-22       Impact factor: 3.609

4.  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

5.  99mTc-sestamibi uptake and histological malignancy grade in invasive breast carcinoma.

Authors:  Rimma Danielsson; Alejandro Sánchez-Crespo; Anna Pegerfalk; Hanna Grabowska; Stig A Larsson; Beata Boné; Peter Aspelin
Journal:  Eur J Nucl Med Mol Imaging       Date:  2003-03-04       Impact factor: 9.236

6.  Invasive breast cancer: predicting disease recurrence by using high-spatial-resolution signal enhancement ratio imaging.

Authors:  Ka-Loh Li; Savannah C Partridge; Bonnie N Joe; Jessica E Gibbs; Ying Lu; Laura J Esserman; Nola M Hylton
Journal:  Radiology       Date:  2008-07       Impact factor: 11.105

7.  Diffusion magnetic resonance imaging in breast cancer characterisation: correlations between the apparent diffusion coefficient and major prognostic factors.

Authors:  Paolo Belli; Melania Costantini; Enida Bufi; Giuseppe Giovanni Giardina; Pierluigi Rinaldi; Gianluca Franceschini; Lorenzo Bonomo
Journal:  Radiol Med       Date:  2014-08-06       Impact factor: 3.469

8.  Invasive breast cancer: correlation of dynamic MR features with prognostic factors.

Authors:  Botond K Szabó; Peter Aspelin; Maria Kristoffersen Wiberg; Tibor Tot; Beata Boné
Journal:  Eur Radiol       Date:  2003-07-26       Impact factor: 5.315

9.  Correlation between high resolution dynamic MR features and prognostic factors in breast cancer.

Authors:  Shin Ho Lee; Nariya Cho; Seung Ja Kim; Joo Hee Cha; Kyung Soo Cho; Eun Sook Ko; Woo Kyung Moon
Journal:  Korean J Radiol       Date:  2008 Jan-Feb       Impact factor: 3.500

10.  Relationship between morphological features and kinetic patterns of enhancement of the dynamic breast magnetic resonance imaging and clinico-pathological and biological factors in invasive breast cancer.

Authors:  Oscar Fernández-Guinea; Alejandro Andicoechea; Luis O González; Salomé González-Reyes; Antonio M Merino; Luis C Hernández; Alfonso López-Muñiz; Paz García-Pravia; Francisco J Vizoso
Journal:  BMC Cancer       Date:  2010-01-08       Impact factor: 4.430

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