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Item Advancing Patient-centered Outcomes in Emergency Diagnostic Imaging: A Research Agenda(Wiley, 2015-12) Kanzaria, Hemal K.; McCabe, Aileen M.; Meisel, Zachary M.; LeBlanc, Annie; Schaffer, Jason T.; Bellolio, Fernanda; Vaughan, William; Merck, Lisa H.; Applegate, Kimberly E.; Hollander, Judd E.; Grudzen, Corita R.; Mills, Angela M.; Carpenter, Christopher R.; Hess, Erik P.; Department of Emergency Medicine, IU School of MedicineDiagnostic imaging is integral to the evaluation of many emergency department (ED) patients. However, relatively little effort has been devoted to patient-centered outcomes research (PCOR) in emergency diagnostic imaging. This article provides background on this topic and the conclusions of the 2015 Academic Emergency Medicine consensus conference PCOR work group regarding “Diagnostic Imaging in the Emergency Department: A Research Agenda to Optimize Utilization.” The goal was to determine a prioritized research agenda to establish which outcomes related to emergency diagnostic imaging are most important to patients, caregivers, and other key stakeholders and which methods will most optimally engage patients in the decision to undergo imaging. Case vignettes are used to emphasize these concepts as they relate to a patient's decision to seek care at an ED and the care received there. The authors discuss applicable research methods and approaches such as shared decision-making that could facilitate better integration of patient-centered outcomes and patient-reported outcomes into decisions regarding emergency diagnostic imaging. Finally, based on a modified Delphi process involving members of the PCOR work group, prioritized research questions are proposed to advance the science of patient-centered outcomes in ED diagnostic imaging.Item Does providing routine liver volume assessment add value when performing CT surveillance in cirrhotic patients?(Springer, 2019-07-29) Patel, Milan; Puangsricharoen, Pimpitcha; Arshad, Hafiz Muhammad Sharjeel; Garrison, Sam; Techasatian, Witina; Ghabril, Marwan; Sandrasegaran, Kumar; Liangpunsakul, Suthat; Tann, Mark; Medicine, School of MedicineBackground: The measurement of liver volume (LV) is considered to be an effective prognosticator for postoperative liver failure in patients undergoing hepatectomy. It is unclear whether LV can be used to predict mortality in cirrhotic patients. Methods: We enrolled 584 consecutive cirrhotic patients who underwent computerized topography (CT) of the abdomen for hepatocellular carcinoma surveillance and 50 age, gender, race, and BMI-matched controls without liver disease. Total LV (TLV), functional LV (FLV), and segmental liver volume (in cm3) were measured from CT imaging. Cirrhotic subjects were followed until death, liver transplantation, or study closure date of July 31, 2016. The survival data were assessed with log-rank statistics and independent predictors of survival were performed using Cox hazards model. Results: Cirrhotic subjects had significantly lower TLV, FLV, and segmental (all except for segments 1, 6, 7) volume when compared to controls. Subjects presenting with hepatic encephalopathy had significantly lower TLV and FLV than those without HE (p=0.002). During the median follow up of 1,145 days, 112 (19%) subjects were transplanted and 131 (23%) died. TLV and FLV for those who survived were significantly higher than those who were transplanted or dead (TLV:1740 vs 1529 vs 1486, FLV 1691 vs 1487 vs 1444,p <0.0001). In the Cox regression model, age, MELD score, TLV or FLV were independent predictors of mortality. Conclusion: Baseline liver volume is an independent predictor of mortality in subjects with cirrhosis. Therefore it may be useful to provide these data while performing routine surveillance CT scan as an important added value. Further studies are needed to validate these findings and to better understand their clinical utility.Item Novel application of complementary imaging techniques to examine in vivo glucose metabolism in the kidney(American Physiological Society, 2016-04-15) Hato, Takashi; Friedman, Allon N.; Mang, Henry; Plotkin, Zoya; Dube, Shataakshi; Hutchins, Gary D.; Territo, Paul R.; McCarthy, Brian P.; Riley, Amanda A.; Pichumani, Kumar; Malloy, Craig R.; Harris, Robert A.; Dagher, Pierre C.; Sutton, Timothy A.; Medicine, School of MedicineThe metabolic status of the kidney is a determinant of injury susceptibility and a measure of progression for many disease processes; however, noninvasive modalities to assess kidney metabolism are lacking. In this study, we employed positron emission tomography (PET) and intravital multiphoton microscopy (MPM) to assess cortical and proximal tubule glucose tracer uptake, respectively, following experimental perturbations of kidney metabolism. Applying dynamic image acquisition PET with 2-(18)fluoro-2-deoxyglucose ((18)F-FDG) and tracer kinetic modeling, we found that an intracellular compartment in the cortex of the kidney could be distinguished from the blood and urine compartments in animals. Given emerging literature that the tumor suppressor protein p53 is an important regulator of cellular metabolism, we demonstrated that PET imaging was able to discern a threefold increase in cortical (18)F-FDG uptake following the pharmacological inhibition of p53 in animals. Intravital MPM with the fluorescent glucose analog 2-[N-(7-nitrobenz-2-oxa-1,3-diazol-4-yl)amino]-2-deoxyglucose (2-NBDG) provided increased resolution and corroborated these findings at the level of the proximal tubule. Extending our observation of p53 inhibition on proximal tubule glucose tracer uptake, we demonstrated by intravital MPM that pharmacological inhibition of p53 diminishes mitochondrial potential difference. We provide additional evidence that inhibition of p53 alters key metabolic enzymes regulating glycolysis and increases intermediates of glycolysis. In summary, we provide evidence that PET is a valuable tool for examining kidney metabolism in preclinical and clinical studies, intravital MPM is a powerful adjunct to PET in preclinical studies of metabolism, and p53 inhibition alters basal kidney metabolism.