MR Elastography in Cancer
- PMID: 36897804
- DOI: 10.1097/RLI.0000000000000971
MR Elastography in Cancer
Abstract
The mechanical traits of cancer include abnormally high solid stress as well as drastic and spatially heterogeneous changes in intrinsic mechanical tissue properties. Whereas solid stress elicits mechanosensory signals promoting tumor progression, mechanical heterogeneity is conducive to cell unjamming and metastatic spread. This reductionist view of tumorigenesis and malignant transformation provides a generalized framework for understanding the physical principles of tumor aggressiveness and harnessing them as novel in vivo imaging markers. Magnetic resonance elastography is an emerging imaging technology for depicting the viscoelastic properties of biological soft tissues and clinically characterizing tumors in terms of their biomechanical properties. This review article presents recent technical developments, basic results, and clinical applications of magnetic resonance elastography in patients with malignant tumors.
Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.
Conflict of interest statement
Conflicts of interest and sources of funding: J.G., L.J.S., and I.S. received funding from the German Research Foundation (DFG) CRC1340. J.G. and I.S. received funding from the DFG GRK2260 BIOQIC. J.G. and I.S. hold patents related to MRE and are shareholder of Time Harmonic Elastography Applications and Devices. L.J.S. and K.H.H are fellows of the BIH Clinician Scientist Program funded by the Charité– Universitätsmedizin Berlin and the Berlin Institute of Health.
References
-
- Sung H, Ferlay J, Siegel RL, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin . 2021;71(3):209–249.
-
- Dolgin E. Cancer's cost conundrum. Nature . 2018;555:26–29.
-
- Jamin Y, Boult JK, Li J, et al. Exploring the biomechanical properties of brain malignancies and their pathologic determinants in vivo with magnetic resonance elastography. Cancer Res . 2015;75(7):1216–1224.
-
- Miles K. Radiomics for personalised medicine: the long road ahead. Br J Cancer . 2020;122(7):929–930.
-
- Li M, Guo J, Hu P, et al. Tomoelastography based on multifrequency MR elastography for prostate cancer detection: comparison with multiparametric MRI. Radiology . 2021;299(7):362–370.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical