The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
MR Elastography of Breast Cancer: Preliminary Results
Abstract
OBJECTIVE: Motivated by the long-recognized value of palpation in detecting breast cancer, we tested the feasibility of a technique for quantitatively evaluating the mechanical properties of breast tissues on the basis of direct MR imaging visualization of acoustic waves. SUBJECTS AND METHODS: The prototypic elasticity imaging technique consists of a device for generating acoustic shear waves in tissue, an MR imaging-based method for imaging the propagation of these waves, and an algorithm for processing the wave images to generate quantitative images depicting tissue stiffness. After tests with tissue-simulating phantom materials and breast cancer specimens, we used the prototypic breast MR elastography technique to image six healthy women and six patients with known breast cancer. RESULTS: Acoustic shear waves were clearly visualized in phantoms, breast cancer specimens, healthy volunteers, and patients with breast cancer. The elastograms of the tumor specimens showed focal areas of high shear stiffness. MR elastograms of healthy volunteers revealed moderately heterogeneous mechanical properties, with the shear stiffness of fibroglandular tissue measuring slightly higher than that of adipose tissue. The elastograms of patients with breast cancer showed focal areas of high shear stiffness corresponding to the locations of the known tumors. The mean shear stiffness of breast carcinoma was 418% higher than the mean value of surrounding breast tissues. CONCLUSION: The results confirm the hypothesis that the prototypic breast MR elastographic technique can quantitatively depict the elastic properties of breast tissues in vivo and reveal high shear elasticity in known breast tumors. Further research is needed to evaluate the potential applications of MR elastography, such as detecting breast carcinoma and characterizing suspicious breast lesions.
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Landis, S. H., Murray, T., Bolden, S., & Wingo, P. A. (1999) · CA: A Cancer Journal for Clinicians · doi:10.3322/canjclin.49.1.8 · Cited by 3,068
Magnetic Resonance Elastography by Direct Visualization of Propagating Acoustic Strain Waves
Muthupillai, R., Lomas, D. J., Rossman, P. J., Greenleaf, J. F., Manduca, A., & Ehman, R. L. (1995) · Science · doi:10.1126/science.7569924 · Cited by 2,116
Self-citationFung, Y.-C. (1993) · Springer eBooks · doi:10.1007/978-1-4757-2257-4 · Cited by 2,051
Elastic Moduli of Breast and Prostate Tissues under Compression
Krouskop, T. A., Wheeler, T. M., Kallel, F., Garra, B. S., & Hall, T. (1998) · Ultrasonic Imaging · doi:10.1177/016173469802000403 · Cited by 1,703
Elastography of breast lesions: initial clinical results.
Garra, B. S., Cespedes, E. I., Ophir, J., Spratt, S. R., Zuurbier, R. A., Magnant, C. M., & Pennanen, M. F. (1997) · Radiology · doi:10.1148/radiology.202.1.8988195 · Cited by 940
Analysis of cancers missed at screening mammography.
Bird, R. E., Wallace, T. W., & Yankaskas, B. C. (1992) · Radiology · doi:10.1148/radiology.184.3.1509041 · Cited by 820
High-resolution tensor MR elastography for breast tumour detection
Sinkus, R., Lorenzen, J., Schrader, D., Lorenzen, M., Dargatz, M., & Holz, D. (2000) · Physics in Medicine and Biology · doi:10.1088/0031-9155/45/6/317 · Cited by 481
Boetes, C., Barentsz, J. O., Mus, R. D. M., van der Sluis, R. F., van Erning, L. J. T. O., Hendriks, J. H. C. L., Holland, R., & Ruys, S. H. (1994) · Radiology · doi:10.1148/radiology.193.3.7972823 · Cited by 377
Tissue characterization using magnetic resonance elastography: preliminary results*
Kruse, S. A., Smith, J. A., Lawrence, A. J., Dresner, M. A., Manduca, A., Greenleaf, J. F., Ehman, R. L., Kruse, S. A., Smith, J. A., Lawrence, A. J., et al. (2000) · Physics in Medicine and Biology · doi:10.1088/0031-9155/45/6/313 · Cited by 340
Self-citationPlewes, D. B., Bishop, J., Samani, A., & Sciarretta, J. (2000) · Physics in Medicine and Biology · doi:10.1088/0031-9155/45/6/314 · Cited by 318
Cited by
Tissue Cells Feel and Respond to the Stiffness of Their Substrate
Discher, D. E., Janmey, P., & Wang, Y.-L. (2005) · Science · doi:10.1126/science.1116995 · Cited by 6,382
Nanomechanical analysis of cells from cancer patients
Cross, S. E., Jin, Y.-S., Rao, J., & Gimzewski, J. K. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.388 · Cited by 1,908
Samani, A., Zubovits, J., & Plewes, D. (2007) · Physics in Medicine and Biology · doi:10.1088/0031-9155/52/6/002 · Cited by 707
Viscoelastic shear properties of in vivo breast lesions measured by MR elastography
Sinkus, R., Tanter, M., Xydeas, T., Catheline, S., Bercoff, J., & Fink, M. (2005) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2004.11.060 · Cited by 503
Imaging the elastic properties of tissue: the 20 year perspective
Parker, K. J., Doyley, M. M., & Rubens, D. J. (2011) · Physics in Medicine and Biology · doi:10.1088/0031-9155/56/1/r01 · Cited by 477
Metadata
- Authors
- McKnight, A. L., Kugel, J. L., Rossman, P. J., Manduca, A., Hartmann, L. C., & Ehman, R. L.
- Venue
- American Journal of Roentgenology
- Publisher
- American Roentgen Ray Society
- Published
- 2002-06
- Volume
- 178
- Issue
- 6
- Pages
- 1411-1417
- ISSN
- 0002-9580 (ISSN-L)
- 0361-803X
- 1546-3141
- OpenAlex
- W1975135842
- Cited by
- 381
- References
- 18
- FWCI
- 6.64
- Type
- journal article
- Language
- en
- Open access
- closed
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