ABSTRACT
Non-invasive imaging biomarkers that assess angiogenic response and tumor microvascular environment at an early stage of therapy could provide useful insights into therapy planning. Tissue hypoxia is related to the insufficient supply of oxygen and is associated with tumor vasculature and perfusion. Thus, knowledge of the hypoxic areas could be of great importance. There is no golden standard for imaging tumor hypoxia yet, however Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is among the most promising non-invasive clinically relevant imaging modalities. In this work, DCE-MRI data from neck sarcoma are analyzed through a pattern recognition technique which results in the separation of the tumor area into well-perfused, hypoxic and necrotic regions.
- Höckel, M., Schlenger, K., Mitze, M., Schäffer, U., and Vaupel, P. 1996. Hypoxia and radiation response in human tumors. Seminars in radiation oncology 6, 1: 3--9. http://doi.org/10.1053/SRAO0060003Google Scholar
- Dhani, N., Fyles, A., Hedley, D., and Milosevic, M. 2015. The Clinical Significance of Hypoxia in Human Cancers. Seminars in Nuclear Medicine 45, 2: 110--121. http://doi.org/10.1053/j.semnuclmed.2014.11.002Google ScholarCross Ref
- Koh, W.J., Rasey, J.S., Evans, M.L., et al. 1992. Imaging of hypoxia in human tumors with {F-18}fluoromisonidazole. International journal of radiation oncology, biology, physics 22: 199--212. http://doi.org/10.1016/0360-3016(92)91001-4Google Scholar
- Kuhl, C.K., Mielcareck, P., Klaschik, S., et al. 1999. Dynamic breast MR imaging: are signal intensity time course data useful for differential diagnosis of enhancing lesions? Radiology 211: 101--110. http://doi.org/10.1148/radiology.211.1.r99ap38101Google ScholarCross Ref
- Kubassova, O., Boesen, M., Boyle, R.D., et al. 2007. Fast and robust analysis of dynamic contrast enhanced MRI datasets. Medical Image Computing and Computer-Assisted Intervention--MICCAI 2007. Springer Berlin Heidelberg. 10, Pt 2: 261--9. Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/18044577 Google ScholarDigital Library
- Van Rijswijk, C.S., Hogendoorn, P.C., Taminiau, a H., and Bloem, J.L. 2001. Synovial sarcoma: dynamic contrast-enhanced MR imaging features. Skeletal Radiology 30, 1: 25--30.Google ScholarCross Ref
- Eyal, E. and Degani, H. 2009. Model-based and model-free parametric analysis of Breast dynamic-contrast-enhanced MRI. NMR in Biomedicine 22, 40--53. http://doi.org/10.1002/nbm.1221Google ScholarCross Ref
- Cho, H., Ackerstaff, E., Carlin, S., et al. 2009. Noninvasive multimodality imaging of the tumor microenvironment: registered dynamic magnetic resonance imaging and positron emission tomography studies of a preclinical tumor model of tumor hypoxia. Neoplasia (New York, N.Y.) 11, 3: 247--259, 2p following 259. http://doi.org/10.1593/neo.81360Google Scholar
- Stoyanova, R., Huang, K., Sandler, K., et al. 2012. Mapping Tumor Hypoxia In Vivo Using Pattern Recognition of Dynamic Contrast-enhanced MRI Data. Translational Oncology 5, 6: 437--IN2. http://doi.org/10.1593/tlo.12319Google ScholarCross Ref
- Lee, D.D. and Seung, H.S. 1999. Learning the parts of objects by non-negative matrix factorization. Nature 401, 6755: 788--91. http://doi.org/10.1038/44565Google Scholar
- Jolliffe, I.T. 2002. Principal Component Analysis, Second Edition. Encyclopedia of Statistics in Behavioral Science 30, 3: 487. http://doi.org/10.2307/1270093Google Scholar
- Berry, M.W., Browne, M., Langville, A.N., Pauca, V.P., and Plemmons, R.J. 2007. Algorithms and applications for approximate nonnegative matrix factorization. Computational Statistics & Data Analysis 52, 1: 155--173. http://doi.org/10.1016/j.csda.2006.11.006Google ScholarCross Ref
- Xu, Y. and Yin, W. 2013. A block coordinate descent method for regularized multiconvex optimization with applications to nonnegative tensor factorization and completion. SIAM Journal on imaging sciences. Retrieved May 11, 2016 from http://epubs.siam.org/doi/abs/10.1137/120887795Google Scholar
- The block-coordinate update method. Retrieved May 14, 2016 from http://www.math.ucla.edu/~wotaoyin/papers/bcu/Google Scholar
Recommendations
Pattern recognition and pharmacokinetic methods on DCE-MRI data for tumor hypoxia mapping in sarcoma
The main purpose of this study is to analyze the intrinsic tumor physiologic characteristics in patients with sarcoma through model-free analysis of dynamic contrast enhanced MR imaging data (DCE-MRI). Clinical data were collected from three patients ...
A new algorithm for automatic vascular mapping of DCE-MRI of the breast
A validated algorithm quantifies breast vascularity through vascular maps (AVM).Breast DCE-MR exams are analyzed before and after neoadjuvant chemotherapy (NAC).Responders and non-responders show difference in vascularity before and after NAC.AVMs may ...
Comments