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SWIFT MRI enhances detection of breast cancer metastasis to the lung.
- Source :
-
Magnetic resonance in medicine [Magn Reson Med] 2015 May; Vol. 73 (5), pp. 1812-9. Date of Electronic Publication: 2014 Jun 11. - Publication Year :
- 2015
-
Abstract
- Purpose: To evaluate the capability of longitudinal MR scans using sweep imaging with Fourier transformation (SWIFT) to detect breast cancer metastasis to the lung in mice.<br />Methods: Mice with breast cancer metastatic to the lung were generated by tail vein injection of MDA-MB-231-LM2 cells. Thereafter, MR imaging was performed every week using three different pulse sequences: SWIFT [echo time (TE) ∼3 μs], concurrent dephasing and excitation (CODE; TE ∼300 μs), and three-dimensional (3D) gradient echo (GRE; TE = 2.2 ms). Motion during the long SWIFT MR scans was compensated for by rigid-body motion correction. Maximum intensity projection (MIP) images were generated to visualize changes in lung vascular structures during the development and growth of metastases.<br />Results: SWIFT MRI was more sensitive to signals from the lung parenchyma than CODE or 3D GRE MRI. Metastatic tumor growth in the lungs induced a progressive increase in intensity of parenchymal signals in SWIFT images. MIP images from SWIFT clearly visualized lung vascular structures and their disruption due to progression of breast cancer metastases in the lung.<br />Conclusion: SWIFT MRI's sensitivity to fast-decaying signals and tolerance of magnetic susceptibility enhances its effectiveness at detecting structural changes in lung parenchyma and vasculature due to breast cancer metastases in the lung.<br /> (© 2014 Wiley Periodicals, Inc.)
- Subjects :
- Animals
Artifacts
Cell Line, Tumor
Female
Fourier Analysis
Humans
Longitudinal Studies
Lung pathology
Mice
Mice, Nude
Neoplasm Transplantation
Image Enhancement methods
Image Processing, Computer-Assisted methods
Imaging, Three-Dimensional methods
Lung Neoplasms diagnosis
Lung Neoplasms secondary
Magnetic Resonance Imaging methods
Mammary Neoplasms, Experimental diagnosis
Subjects
Details
- Language :
- English
- ISSN :
- 1522-2594
- Volume :
- 73
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Magnetic resonance in medicine
- Publication Type :
- Academic Journal
- Accession number :
- 24919566
- Full Text :
- https://doi.org/10.1002/mrm.25301