Nuclear magnetic resonance (NMR) is used to produce metabolic profiles of cancer tissue. The large amounts of data acquired necessitate the use of sophisticated statistical methods for analysis. We apply a Statistical Classification Strategy, developed in our institute, to data for fine needle aspirate biopsies of breast tumours, tissue biopsies from the prostate gland, and head and neck tumours. In all cases the diagnostic accuracy for cancer is very high (>95%). For the breast biopsies we can also diagnose if the cancer has spread to the lymphatic system, and if the tumour has established a vascular system. For the head and neck tumours we can predict which will respond to radiation therapy. We propose that high field (>/ = 3 Tesla) in vivo magnetic resonance spectroscopy will play a significant role in the non-invasive diagnosis of cancer.
Keywords: in vivo magnetic resonance spectroscopy, cancer (prostate, breast, head and neck)
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Smith, I.C.P., Baert, R. (2007). MR Spectroscopy and the Early Detection of Cancer in Human Subjects. In: Pifat-Mrzljak, G. (eds) Supramolecular Structure and Function 9. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6466-1_14
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