Absolute Quantitation for MR Molecular Imaging of Angiogenesis

Medical imaging is undergoing a transition from an art that is used to make static images of human physiology into a scientific tool that employs advanced techniques to measure clinically relevant data. Recently, the role of magnetic resonance imaging in cardiovascular and oncological research has grown, largely due to the implementation of new quantitative techniques in the clinic. Magnetic resonance imaging (MRI) and spectroscopy (MRS) are particularly rich in their capability to quantify both physiology and disease via biomarker detection. While this is true for many applications of MRI in cardiovascular and oncological research, 19F MR molecular imaging is particularly useful when coupled to the use of emerging site-targeted molecular imaging agents for diagnosis and therapy, such as αvβ3 integrin-targeted perfluorocarbon (PFC) nanoparticle (NP) emulsions. Unfortunately, the radiological world is realizing that although image quality may be consistently high, the absolute quantitative values being calculated vary widely across time, techniques, laboratories, and imaging platforms. The overall objective of this work is to advance the state of the art for 19F MR molecular imaging of perfluorocarbon nanoparticle emulsion contrast agents. To reach this objective, three specific aims have been identified: (1) to create new tools and techniques for 19F MR molecular imaging of PFC nanoparticles, (2) to develop translatable procedures for absolute quantification of 19F nuclei with MR molecular imaging, and (3) to evaluate the potential for clinical translation with ex vivo and in vivo preclinical experiments. Robust, standardized techniques are developed in this work to improve the accuracy of in vivo quantitative 19F MR molecular imaging, validate system performance, calibrate measurements to ensure repeatability of these quantitative metrics, and evaluate the potential for clinical translation. As these quantitative metrics become routine in medical imaging procedures, these standardized calibrations and techniques are expected to be critical for accurate interpretation of underlying pathophysiology. This will also impact the development of new therapies and diagnostic techniques/agents by reducing the variability of image-based measurements, thereby increasing the impact of the studies and reducing the overall time and cost to translate new technologies into the clinic

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A Model of Reference-Dependent Preferences

We develop a model of reference-dependent preferences and loss aversion where "gain-loss utility" is derived from standard "consumption utility" and the reference point is determined endogenously by the economic environment. We assume that a person's reference point is her rational expectations held in the recent past about outcomes, which are determined in a personal equilibrium by the requirement that they must be consistent with optimal behavior given expectations. In deterministic environments, choices maximize consumption utility, but gain-loss utility influences behavior when there is uncertainty. Applying the model to consumer behavior, we show that willingness to pay for a good is increasing in the expected probability of purchase and in the expected prices conditional on purchase. In within-day labor-supply decisions, a worker is less likely to continue work if income earned thus far is unexpectedly high, but more likely to show up as well as continue work if expected income is high. Copyright by the President and Fellows of Harvard College and the Massachusetts Institute of Technology.

Valuing Public Goods: The Life Satisfaction Approach

"This paper discusses a novel approach to elicit people's preferences fornpublic goods, namely the life satisfaction approach. Reported subjective well-beingndata are used to directly evaluate utility consequences of public goods. The strengthsnof this approach are compared to traditional approaches and identification issues arenaddressed. Moreover, it is applied to estimate utility losses caused by terroristnactivities in France, the UK and the Republic of Ireland. Terrorism in these countriesndepresses life satisfaction in a sizeable and robust way. However, the calculation ofnthe trade-off between terrorism and income requires improved measurement of thenmarginal utility of income.