Quantitative contrast-enhanced mammography for contrast medium kinetics studies.
Quantitative contrast-enhanced mammography, based on a dual-energy approach, aims to extract quantitative and temporal information of the tumour enhancement after administration of iodinated vascular contrast media. Simulations using analytical expressions and optimization of critical parameters essential for the development of quantitative contrast-enhanced mammography are presented. The procedure has been experimentally evaluated using a tissue-equivalent phantom and an amorphous silicon active matrix flat panel imager. The x-ray beams were produced by a tungsten target tube and spectrally shaped using readily available materials. Measurement of iodine projected thickness in mg cm(-2) has been performed. The effect of beam hardening does not introduce nonlinearities in the measurement of iodine projected thickness for values of thicknesses found in clinical investigations. However, scattered radiation introduces significant deviations from slope equal to unity when compared with the actual iodine projected thickness. Scatter correction before the analysis of the dual-energy images provides accurate iodine projected thickness measurements. At 10% of the exposure used in clinical mammography, signal-to-noise ratios in excess of 5 were achieved for iodine projected thicknesses less than 3 mg cm(-2) within a 4 cm thick phantom. For the extraction of temporal information, a limited number of low-dose images were used with the phantom incorporating a flow of iodinated contrast medium. The results suggest that spatial and temporal information of iodinated contrast media can be used to indirectly measure the tumour microvessel density and determine its uptake and washout from breast tumours. The proposed method can significantly improve tumour detection in dense breasts. Its application to perform in situ x-ray biopsy and assessment of the oncolytic effect of anticancer agents is foreseeable.
Department of Medical Physics and Bioengineering, University College London, London WC1E 6BT, UK. costas.arvanitis@eng.ox.ac.uk
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D000970:Antineoplastic Agents / Q000494:pharmacology; D001706:Biopsy; D001940:Breast / Q000473:pathology; D003198:Computer Simulation; D003287:Contrast Media / Q000494:pharmacology*; D006801:Humans; D007455:Iodine / Q000494:pharmacology; D007700:Kinetics; D008327:Mammography / Q000295:instrumentation* / Q000379:methods*; D015233:Models, Statistical; D019047:Phantoms, Imaging; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods; D012542:Scattering, Radiation; D013997:Time Factors; D014965:X-Rays
D000970:Antineoplastic Agents; D003287:Contrast Media; D007455:Iodine