Literature DB >> 15896081

Pharmacokinetic parameters analyzed from mr contrast enhancement kinetics of multiple malignant and benign breast lesions detected in the same patients.

Min-Y Su1, Hon J Yu, Phillip M Carpenter, Christine E McLaren, Orhan Nalcioglu.   

Abstract

Ninety-nine patients with confirmed breast cancer were reviewed to identify patients who had two confirmed malignant lesions of identical pathology (Group-1, N = 17), and patients who had one malignant lesion and the second benign lesion (Group-2, N = 8). Contrast enhancement kinetics from every lesion was measured and analyzed using three different models to obtain fitting parameters related to up-slope, enhancement amplitude, and wash-out, including Model-1: modified Tofts model (v(p), Ktrans, k(ep)), Model-2: standard Tofts model (Ktrans, k(ep)), and Model-3: a 3-parameter heuristic model (Tc, A, C). By analyzing lesions from same patients, the differences in whole body hemodynamics thus the blood kinetics could be controlled. Two questions were addressed in this study: i) What is the association between pharmacokinetic parameters analyzed from multiple cancers of identical pathology in same patients?; and ii) What is the difference between secondary malignant lesions and secondary benign lesions with reference to the primary cancer? All three models could fit the enhancement kinetics satisfactorily. Regardless of the analysis model the parameter obtained from the primary cancer and the secondary cancer showed significant correlations. In comparison between Group-1 and Group-2 subjects, the wash-out parameter kep in Models-1 and 2 could significantly differentiate benign from malignant lesions, but not the magnitude parameters, Ktrans in Model-2 or the parameter A in Model-3. If analyzed using appropriate models the early up-slope parameters, v(p) in Model-1 and Tc in Model-3, might be able to distinguish between benign and malignant lesions. When more data are available a reference database can be established with the method described in this study, and from which to determine the likelihood of malignancy for each incidental lesion found in preoperative MRI, with reference to the primary cancer.

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Year:  2005        PMID: 15896081     DOI: 10.1177/153303460500400305

Source DB:  PubMed          Journal:  Technol Cancer Res Treat        ISSN: 1533-0338


  6 in total

1.  Fibrocystic change of the breast presenting as a focal lesion mimicking breast cancer in MR imaging.

Authors:  Jeon-Hor Chen; Orhan Nalcioglu; Min-Ying Su
Journal:  J Magn Reson Imaging       Date:  2008-12       Impact factor: 4.813

2.  Correlation between Choline Peak at MR Spectroscopy and Calcium-Sensing Receptor Expression Level in Breast Cancer: A Preliminary Clinical Study.

Authors:  Gabriella Baio; Giuseppe Rescinito; Francesca Rosa; Daniele Pace; Simona Boccardo; Luca Basso; Sandra Salvi; Massimo Calabrese; Mauro Truini; Carlo Emanuele Neumaier
Journal:  Mol Imaging Biol       Date:  2015-08       Impact factor: 3.488

3.  Angiogenesis in the progression of breast ductal proliferations.

Authors:  Philip M Carpenter; Wen-Pin Chen; Aaron Mendez; Christine E McLaren; Min-Ying Su
Journal:  Int J Surg Pathol       Date:  2009-04-29       Impact factor: 1.271

4.  Quantitative correlation between (1)H MRS and dynamic contrast-enhanced MRI of human breast cancer.

Authors:  Hyeon-Man Baek; Hon J Yu; Jeon-Hor Chen; Orhan Nalcioglu; Min-Ying Su
Journal:  Magn Reson Imaging       Date:  2007-12-03       Impact factor: 2.546

5.  Magnetic resonance imaging features of fibrocystic change of the breast.

Authors:  Jeon-Hor Chen; Hui Liu; Hyeon-Man Baek; Orhan Nalcioglu; Min-Ying Su
Journal:  Magn Reson Imaging       Date:  2008-04-23       Impact factor: 2.546

6.  Diagnostic value of breast proton magnetic resonance spectroscopy at 1.5T in different histopathological types.

Authors:  Hyeon-Man Baek
Journal:  ScientificWorldJournal       Date:  2012-05-01
  6 in total

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