Current and emerging quantitative magnetic resonance imaging methods for assessing and predicting the response of breast cancer to neoadjuvant therapy
Year: 2012
Type: article
Abstract: Reliable early assessment of breast cancer response to neoadjuvant therapy (NAT) would provide considerable benefit to patient care and ongoing research efforts, and demand for accurate and noninvasive early-response biomarkers is likely to increase. Response assessment techniques derived from quantitative magnetic resonance imaging (MRI) hold great potential for integration into treatment algorithms and clinical trials. Quantitative MRI techniques already available for assessing breast cancer response to neoadjuvant therapy include lesion size measurement, dynamic contrast-enhanced MRI, diffusion-weighted MRI, and proton magnetic resonance spectroscopy. Emerging yet promising techniques include magnetization transfer MRI, chemical exchange saturation transfer MRI, magnetic resonance elastography, and hyperpolarized MR. Translating and incorporating these techniques into the clinical setting will require close attention to statistical validation methods, standardization and reproducibility of technique, and scanning protocol design.
DOI: 10.2147/bctt.s35882
Authors: Richard Abramson, Arlinghaus, Weis, Li, Dula, Chekmenev, Smith, Miga, Abramson, Yankeelov
Language: English
Topic: MRI in cancer diagnosis
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,320
Funders: U.S. Department of Defense, Vanderbilt University, Robert J. Kleberg, Jr. and Helen C. Kleberg Foundation, Georgia Clinical and Translational Science Alliance, National Institutes of Health, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering, National Center for Research Resources, National Center for Advancing Translational Sciences
Awards: G1531600799, G153582612, G1815062656, G1951620746, G2043477120, G2703310063, G292747457, G3321193713, G3433274139, G4107354744, Vanderbilt In Vivo Cellular and Molecular Imaging Center, G4207094879, G4484162060, G4513176822, G560889077, G563474107, The Vanderbilt Institute for Clinical and Translational Research (VICTR) KL2, G5853943267, G6622383250, G681389622, G725763919, G7277430106, G7653134492, The Vanderbilt Institute for Clinical and Translational Research (VICTR), G807112143, Novel hyperpolarized C-13 and N-15 biomarkers for metabolic MR imaging of cancer, G9000001553, G9000033693, G9000043901, G9000054219, G9000081609, G9000083539, G9000148039, G9000204559, G9000234569, G9000300101, G946978917, G949362299, G959610197
OpenAlex ID: W1815915384