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Quantification of perfusion and permeability in breast tumors with a deconvolution‐based analysis of second‐bolus T1‐DCE data
Author(s) -
Makkat S.,
Luypaert R.,
Sourbron S.,
Stadnik T.,
De Mey J.
Publication year - 2007
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.20937
Subject(s) - nuclear medicine , perfusion , bolus (digestion) , medicine , breast mri , breast cancer , dynamic contrast enhanced mri , magnetic resonance imaging , radiology , cancer , mammography
Purpose To test the feasibility of using a second‐bolus injection, added to a routine breast MRI examination, to measure regional perfusion and permeability in human breast tumors. Materials and Methods In 30 patients with breast tumors, first a routine whole‐breast T1‐DCE sequence was applied, and the slice where the lesion enhanced maximally was located. At that slice position, T1‐weighted MR images were acquired at 0.3‐second resolution using a second‐bolus dynamic inversion recovery (IR)‐prepared turbo field echo (TFE) sequence. A pixel‐by‐pixel model‐independent deconvolution of the relative signal enhancement was performed to estimate the tumor blood flow (TBF), tumor volume of distribution (TVD), mean transit time (MTT), extraction flow product (EF), and extraction fraction (E). In addition to this pilot study, a first appraisal of its sensitivity to tissue type was made on the basis of a small patient cohort. Results In the malignant tumors, the parametric maps clearly delineated tumors from the breast tissue and enabled visualization of the heterogeneity. The deconvolution analysis provided objective parametric maps of tumor perfusion with a mean TBF (84 ± 48 mL/100 mL/minute) in malignant tumors in the high range of literature values. Conclusion In terms of these perfusion values, our method appears promising to quantitatively characterize tumor pathophysiology. However, the number of patients was limited, and the separation between malignant and benign groups was not clear‐cut. Additional parameters generated through compartment modeling may improve the tumor differentiation. J. Magn. Reson. Imaging 2007;25:1159–1167. © 2007 Wiley‐Liss, Inc.