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Dive into the research topics where William Gregory Hundley is active.

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Featured researches published by William Gregory Hundley.


Journal of Cardiovascular Magnetic Resonance | 2010

The 20 year evolution of dobutamine stress cardiovascular magnetic resonance

Charaslak Charoenpanichkit; William Gregory Hundley

Over the past 20 years, investigators world-wide have developed and utilized dobutamine magnetic resonance stress testing procedures for the purpose of identifying ischemia, viability, and cardiac prognosis. This article traces these developments and reviews the data utilized to substantiate this relatively new noninvasive imaging procedure.


Nutrition Metabolism and Cardiovascular Diseases | 2011

Pericardial fat is associated with carotid stiffness in the Multi-Ethnic Study of Atherosclerosis

Tina E. Brinkley; Fang-Chi Hsu; J. Jeffrey Carr; William Gregory Hundley; David A. Bluemke; Joseph F. Polak; Jingzhong Ding

BACKGROUND AND AIMS Arterial stiffness is a prominent feature of vascular aging and a risk factor for cardiovascular disease (CVD). Fat around the heart and blood vessels (i.e. pericardial fat, Pfat) may contribute to arterial stiffness via a local paracrine effect of adipose tissue on the surrounding vasculature. Thus, we determined the association between Pfat and carotid stiffness in 5770 participants (mean age 62 years, 53% female, 25% African American, 24% Hispanic, and 13% Chinese) from the Multi-Ethnic Study of Atherosclerosis. METHODS AND RESULTS Pfat was measured by computed tomography, and ultrasonography of the common carotid artery was used to calculate the distensibility coefficient (DC) and Youngs modulus (YM). Lower DC and higher YM values indicate stiffer arteries. Pfat quartile was highly associated with demographic, behavioral, anthropometric, hemodynamic, metabolic, and disease variables in both men and women. After adjusting for height, clinical site, CVD risk factors, and medications, a 1 standard deviation (41.91 cm(3)) increment in Pfat was associated with a 0.00007±0.00002 1/mm Hg lower DC (p=0.0002) in men and a 48.1±15.1 mm Hg/mm higher YM in women (p=0.002). Additional adjustment for C-reactive protein, coronary artery calcification, and carotid intima-media thickness had only modest effects. More importantly, adjusting for body mass index and waist circumference did not significantly change the overall results. CONCLUSION Higher Pfat is associated with higher carotid stiffness, independent of traditional CVD risk factors and obesity.


Nutrition Metabolism and Cardiovascular Diseases | 2015

Visceral adiposity and left ventricular remodeling: The Multi-Ethnic Study of Atherosclerosis

Siddique A. Abbasi; William Gregory Hundley; David A. Bluemke; Michael Jerosch-Herold; Ron Blankstein; Steffen E. Petersen; Oliver J. Rider; João A.C. Lima; Matthew A. Allison; Venkatesh L. Murthy; Ravi V. Shah

BACKGROUND AND AIMS Visceral fat (VF) is a source of pro-inflammatory adipokines implicated in cardiac remodeling. We sought to determine the impact of visceral fat and subcutaneous fat (SQ) depots on left ventricular (LV) structure, function, and geometry in the Multi-Ethnic Study of Atherosclerosis (MESA). METHODS AND RESULTS We performed a post-hoc analysis on 1151 participants from MESA with cardiac magnetic resonance quantification of LV mass and LV mass-to-volume ratio (LVMV, an index of concentricity) and computed tomographic-derived SQ and VF area. Multivariable regression models to estimate association between height-indexed SQ and VF area (per cm(2)/m) with height-indexed LV mass (per height(2.7)) and LVMV were constructed, adjusted for clinical, biochemical, and demographic covariates. We found that both VF and SQ area were associated with height-indexed LV mass (ρ = 0.36 and 0.12, P < 0.0001, respectively), while only VF area was associated with LVMV (ρ = 0.28, P < 0.0001). Individuals with above-median VF had lower LV ejection fraction, greater indexed LV volumes and mass, and higher LVMV (all P < 0.001). In multivariable models adjusted for weight, VF (but not SQ) area was associated with LV concentricity and LV mass index, across both sexes. CONCLUSION Visceral adiposity is independently associated with LV concentricity, a precursor to heart failure. Further study into the role of VF in LV remodeling as a potential therapeutic target is warranted.


Journal of Magnetic Resonance Imaging | 2006

Dobutamine cardiovascular magnetic resonance: a review.

Sangeeta Mandapaka; William Gregory Hundley

Dobutamine cardiovascular magnetic resonance (DCMR) is useful for identifying myocardial ischemia and viability in patients with known or suspected coronary artery disease (CAD). This article reviews the performance and utility of DCMR, its association with dobutamine stress echocardiography (DSE), and areas of active investigative research. J. Magn. Reson. Imaging 2006.


Journal of Computer Assisted Tomography | 2011

Assessment of left ventricular diastolic function using 4-dimensional phase-contrast cardiac magnetic resonance.

Kumar R; Charonko J; William Gregory Hundley; Craig A. Hamilton; Stewart Kc; McNeal Gr; Vlachos Pp; William C Little

Objectives: Phase-contrast magnetic resonance imaging can potentially assess the dynamics of left ventricular (LV) early diastolic filling. Methods: Fifteen participants underwent phase-contrast magnetic resonance imaging on a 1.5-T whole-body Avanto scanner (Siemens Healthcare, Erlangen, Germany). Left ventricular intracavitary velocities were measured in 3 orthogonal directions. Imaging parameters included a repetition time of 92.45 milliseconds, an echo time of 2.88 milliseconds, a flip angle of 30 degrees, and a velocity-encoding range of 100 to 150 cm/s. Results: The color vector analysis provided a visual assessment of LV diastolic flow. In normal subjects, there was rapid organized early diastolic flow that extended from the mitral valve to the LV apex. In patients with LV diastolic dysfunction, organized high-velocity flow stopped in the mid-left ventricle. Conclusions: Four-dimensional phase-contrast cardiovascular magnetic resonance can differentiate between normal and abnormal diastolic flow propagation within the left ventricle.


Heart | 2017

Left ventricular hypertrophy by ECG versus cardiac MRI as a predictor for heart failure

Abdullahi O Oseni; Waqas T. Qureshi; Mohamed Faher Almahmoud; Alain G. Bertoni; David A. Bluemke; William Gregory Hundley; Joao A.C. Lima; David M. Herrington; Elsayed Z. Soliman

Objective To determine if there is a significant difference in the predictive abilities of left ventricular hypertrophy (LVH) detected by ECG-LVH versus LVH ascertained by cardiac MRI-LVH in a model similar to the Framingham Heart Failure Risk Score (FHFRS). Methods This study included 4745 (mean age 61±10 years, 53.5% women, 61.7% non-whites) participants in the Multi-Ethnic Study of Atherosclerosis. ECG-LVH was defined using Cornell voltage product while MRI-LVH was derived from left ventricular mass. Cox proportional hazard regression was used to examine the association between ECG-LVH and MRI-LVH with incident heart failure (HF). Harrells concordance C-index was used to estimate the predictive ability of the model when either ECG-LVH or MRI-LVH was included as one of its components. Results ECG-LVH was present in 291 (6.1%), while MRI-LVH was present in 499 (10.5%) of the participants. Both ECG-LVH (HR 2.25, 95% CI 1.38 to 3.69) and MRI-LVH (HR 3.80, 95% CI 1.56 to 5.63) were predictive of HF. The absolute risk of developing HF was 8.81% for MRI-LVH versus 2.26% for absence of MRI-LVH with a relative risk of 3.9. With ECG-LVH, the absolute risk of developing HF 6.87% compared with 2.69% for absence of ECG-LVH with a relative risk of 2.55. The ability of the model to predict HF was better with MRI-LVH (C-index 0.871, 95% CI 0.842 to 0.899) than with ECG-LVH (C-index 0.860, 95% CI 0.833 to 0.888) (p<0.0001). Conclusions ECG-LVH and MRI-LVH are predictive of HF. Substituting MRI-LVH for ECG-LVH improves the predictive ability of a model similar to the FHFRS.


International Journal of Obesity | 2014

Periaortic fat and cardiovascular risk: a comparison of high-risk older adults and age-matched healthy controls.

Tina E. Brinkley; Xiaoyan Leng; Haroon Chughtai; Barbara J. Nicklas; S. B. Kritchevsky; Jingzhong Ding; Dalane W. Kitzman; William Gregory Hundley

Objective:Fat accumulation around the heart and aorta may impact cardiovascular (CV) health. The purpose of this study was to conduct a systematic investigation to examine potential associations of these fat depots with risk factors for CV events, which has not been done before.Methods:Pericardial fat, periaortic fat around the ascending aorta (AA), descending aorta (DA) and aortic arch, and abdominal subcutaneous and visceral fat were measured by MRI in older adults with (n=385, 69±8 years, 52% female) and without (n=50, 69±8 years, 58% female) risk factors for a CV event.Results:Individuals with CV risk factors exhibited greater fat volumes across all fat depots compared with those without risk factors. In analysis of covariance accounting for age, gender, race/ethnicity, diabetes, hypertension, coronary artery disease, smoking and body mass index (BMI), individuals with risk factors possessed higher epicardial, pericardial, AA, DA and abdominal visceral fat (P<0.05). When matched one-to-one on age, gender, race/ethnicity and BMI, AA and DA fat were higher in those with versus without CV risk factors (P<0.01).Conclusions:Older adults with a high risk for CV events have greater periaortic fat than low-risk adults, even after accounting for BMI. More studies are needed to determine whether greater periaortic fat predicts future CV events.


Journal of the American Geriatrics Society | 2017

Effect of Spironolactone on Exercise Tolerance and Arterial Function in Older Adults with Heart Failure with Preserved Ejection Fraction

Bharathi Upadhya; William Gregory Hundley; Peter H. Brubaker; Timothy M. Morgan; Kathryn P. Stewart; Dalane W. Kitzman

To evaluate the effects of an aldosterone antagonist on exercise intolerance in older adults with heart failure and preserved ejection fraction (HFpEF).


Journal of Cardiovascular Magnetic Resonance | 2012

Comparison of systolic and diastolic criteria for isolated left ventricular noncompaction in cardiac MRI

Brandon Stacey; William Gregory Hundley; Vinay Thohan

Background Interest in left ventricular non-compaction (LVNC) as a distinct clinical form of cardiomyopathy is supported by recent publications. Echocardiographic and select cardiac MRI criteria have been established which are used to facilitate the diagnosis and have led to concerns of diagnostic accuracy. We used cardiac magnetic resonance imaging (cMRI) to assess standard criteria for LVNC.


Journals of Gerontology Series A-biological Sciences and Medical Sciences | 2015

Increased Cardiovascular Stiffness and Impaired Age-related Functional Status

Mousumi M. Andersen; Stephen B. Kritchevsky; Timothy M. Morgan; Don Hire; Sujethra Vasu; Tina E. Brinkley; Dalane W. Kitzman; Craig A. Hamilton; Sandra Soots; William Gregory Hundley

Our objective was to determine if increased cardiovascular (CV) stiffness is associated with disability in middle-aged and older adults at risk for congestive heart failure. CV stiffness (brachial pulse pressure/left ventricular stroke volume indexed to body surface area) and total disability (the summed assessment of activities of daily living, mobility, and instrumental activities of daily living) were measured in 445 individuals. A subset of 109 randomly selected individuals also underwent physical function testing. Total disability was associated with CV stiffness (p = .01), driven by an association with mobility (p = .005), but not activities of daily living (p = .13) or instrumental activities of daily living (p = .61). After accounting for age, these correlations remained significant for men (p = .04), but not for women. CV stiffness was also associated with increased 400-m walk time (p = .02). In middle-aged and elderly men at risk for congestive heart failure, CV stiffness is associated with decreased mobility and physical function, and increased overall disability.

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David A. Bluemke

National Institutes of Health

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Joao A.C. Lima

Johns Hopkins University

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Frank M. Torti

University of Connecticut Health Center

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