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1.  CMR Quantification of Myocardial Scar Provides Additive Prognostic Information in Nonischemic Cardiomyopathy 
JACC. Cardiovascular imaging  2013;6(9):944-954.
OBJECTIVES
This study sought to determine whether the extent of late gadolinium enhancement (LGE) can provide additive prognostic information in patients with a nonischemic dilated cardiomyopathy (NIDC) with an indication for implantable cardioverter-defibrillator (ICD) therapy for the primary prevention of sudden cardiac death (SCD).
BACKGROUND
Data suggest that the presence of LGE is a strong discriminator of events in patients with NIDC. Limited data exist on the role of LGE quantification.
METHODS
The extent of LGE and clinical follow-up were assessed in 162 patients with NIDC prior to ICD insertion for primary prevention of SCD. LGE extent was quantified using both the standard deviation–based (2-SD) method and the full-width half-maximum (FWHM) method.
RESULTS
We studied 162 patients with NIDC (65% male; mean age: 55 years; left ventricular ejection fraction [LVEF]: 26 ± 8%) and followed up for major adverse cardiac events (MACE), including cardiovascular death and appropriate ICD therapy, for a mean of 29 ± 18 months. Annual MACE rates were substantially higher in patients with LGE (24%) than in those without LGE (2%). By univariate association, the presence and the extent of LGE demonstrated the strongest associations with MACE (LGE presence, hazard ratio [HR]: 14.5 [95% confidence interval (CI): 6.1 to 32.6; p < 0.001]; LGE extent, HR: 1.15 per 1% increase in volume of LGE [95% CI: 1.12 to 1.18; p < 0.0001]). Multivariate analyses showed that LGE extent was the strongest predictor in the best overall model for MACE, and a 7-fold hazard was observed per 10% LGE extent after adjustments for patient age, sex, and LVEF (adjusted HR: 7.61; p < 0.0001). LGE quantitation by 2-SD and FWHM both demonstrated robust prognostic association, with the highest MACE rate observed in patients with LGE involving >6.1% of LV myocardium.
CONCLUSIONS
LGE extent may provide further risk stratification in patients with NIDC with a current indication for ICD implantation for the primary prevention of SCD. Strategic guidance on ICD therapy by cardiac magnetic resonance in patients with NIDC warrants further study.
doi:10.1016/j.jcmg.2013.05.013
PMCID: PMC3952043  PMID: 23932642
cardiac magnetic resonance; implantable cardioverter-defibrillators; late gadolinium enhancement; nonischemic cardiomyopathy
3.  Association of pericardial fat and coronary high-risk lesions as determined by cardiac CT 
Atherosclerosis  2012;222(1):129-134.
Objective
Pericardial adipose tissue (PAT) is a pathogenic fat depot associated with coronary atherosclerosis and cardiovascular events. We hypothesized that higher PAT is associated with coronary high-risk lesions as determined by cardiac CT.
Methods
We included 358 patients (38% female; median age 51 years) who were admitted to the ED with acute chest pain and underwent 64-slice CT angiography. The cardiac CT data sets were assessed for presence and morphology of CAD and PAT. Coronary high-risk lesions were defined as >50% luminal narrowing and at least two of the following characteristics: positive remodeling, low-density plaque, and spotty calcification. PAT was defined as any pixel with CT attenuation of −190 to −30 HU within the pericardial sac.
Results
Based on cardiac CT, 50% of the patients (n = 180) had no CAD, 46% (n = 165) had CAD without high-risk lesions, and 13 patients had CAD with high-risk lesions. The median PAT in patients with high-risk lesions was significantly higher compared to patients without high-risk lesions and without any CAD (151.9 [109.0–179.4] cm3 vs. 110.0 [81.5–137.4] cm3, vs. 74.8 [58.2–111.7] cm3, respectively p = 0.04 and p < 0.0001). These differences remained significant after adjusting for traditional risk factors including BMI (all p < 0.05). The area under the ROC curve for the identification of high-risk lesions was 0.756 in a logistic regression model with PAT as a continuous predictor.
Conclusion
PAT volume is nearly twice as high in patients with high-risk coronary lesions as compared to those without CAD. PAT volume is significantly associated with high risk coronary lesion morphology independent of clinical characteristics and general obesity.
doi:10.1016/j.atherosclerosis.2012.02.029
PMCID: PMC3738181  PMID: 22417843
Coronary artery disease; Cardiac CT angiography; Pericardial fat; Adipose tissue; Vulnerable plaque; High-risk lesions
4.  A Computed Tomography Based Coronary Lesion Score to Predict Acute Coronary Syndrome Among Patients With Acute Chest Pain and a Significant Coronary Stenosis on Coronary Computed Tomography Angiography 
The American Journal of Cardiology  2012;110(2):183-189.
We tested the hypothesis that the assessment of lesion morphology helped to detect acute coronary syndrome (ACS) during index hospitalization among patients with acute chest pain who had a significant stenosis on coronary computed tomography angiography (CTA). Patients who presented to the emergency department with chest pain but no objective signs of myocardial ischemia (non-diagnostic ECG and negative initial biomarkers) underwent CTA. CTA was analyzed for the degree and length of stenosis, plaque area and volume, remodeling index, CT attenuation of plaque, and spotty calcium in all patients with a significant stenosis (>50% in diameter) in CTA. ACS during the index hospitalization was determined by the panel of 2 physicians blinded to results of CTA. For lesion characteristics associated with ACS, we determined cutpoints optimized for diagnostic accuracy and created lesion scores. For each score, we determined odds ratio and discriminatory capacity for the prediction of ACS. Of the overall population of 368 patients, 34 had significant stenosis and among those 21 had ACS. Score A (remodeling index+spotty calcium: OR 3.5, 95%CI 1.2–10.1, AUC 0.734), B (remodeling index+spotty calcium+stenosis length: OR 4.6, 95%CI 1.6–13.7, AUC 0.824) and C (remodeling index+spotty calcium+stenosis length+volume of <90HU plaque: OR 3.4, 95%CI 1.5–7.9, AUC 0.833) were significantly associated with ACS. In conclusion, among patients presenting with acute chest pain and with a stenosis on coronary CTA, a CT-based score incorporating morphologic characteristics of coronary lesions had a good discriminatory value for the detection ACS during index hospitalization.
doi:10.1016/j.amjcard.2012.02.066
PMCID: PMC3383897  PMID: 22481015
cardiac computed tomography; coronary computed tomography angiography; acute coronary syndrome; coronary atherosclerotic plaque
6.  Clinical experiences of delayed contrast enhancement with cardiac computed tomography: case series 
BMC Research Notes  2013;6:2.
Background
Myocardial delayed enhancement (MDE) by gadolinium-enhanced cardiac MRI is well established for myocardial scar assessment in ischemic and non-ischemic heart disease. The role of MDE by cardiac CT (CT-MDE) is not yet defined.
Findings
We reviewed all clinical cases of CT-MDE at a tertiary referral center to present the cases as a case series. All clinical cardiac CT exams which utilized CT-MDE imaging between January 1, 2005 and October 1, 2010 were collected as a series and their findings were also compared with available myocardial imaging to assess for myocardial abnormalities, including echocardiography (wall motion, morphology), cardiac MRI (delayed enhancement, morphology), SPECT MPI (perfusion defects). 5,860 clinical cardiac CT exams were performed during the study period. CT-MDE was obtained in 18 patients and was reported to be present in 9 patients. The indications for CT-MDE included ischemic and non-ischemic heart diseases. In segments positive for CT-MDE, there was excellent agreement of CT with other modalities: echocardiography (n=8) demonstrated abnormal morphology and wall motion (k=1.0 and k=0.82 respectively); prior MRI (n=2) demonstrated abnormal delayed enhancement (MR-MDE) (k=1.0); SPECT MPI (n=1) demonstrated fixed perfusion defects (k=1.0). In the subset of patients without CT-MDE, no abnormal segments were identified by echocardiography (n=8), MRI (n=1) and nuclear MPI (n=0).
Conclusions
CT-MDE was performed in rare clinical situations. The indications included both ischemic and non-ischemic heart disease and there was an excellent agreement between CT-MDE and abnormal myocardium by echocardiography, cardiac MRI, and nuclear MPI.
doi:10.1186/1756-0500-6-2
PMCID: PMC3548708  PMID: 23281746
7.  Using Keynote to Present Radiology Images 
Journal of Digital Imaging  2010;24(5):844-847.
Numerous articles have offered instructions for working with advanced radiology images in Microsoft PowerPoint (Redmond, WA); however, no articles have detailed instructions to do the same on alternative presentation software. Apple Macintosh (Cupertino, CA) computers are gaining popularity with many radiologists, due in part to the availability of a powerful, free, open-source Digital Imaging and Communications in Medicine (DICOM) viewing and manipulating software OsiriX (http://www.osirix-viewer.com). Apple’s own presentation software, Keynote, is particularly effective in dealing with medical images and cine clips. This article demonstrates how to use Apple’s Keynote software to present radiology images and scrollable image stacks, without third-party add-on software. The article also illustrates how to compress media files and protect patient information in Keynote presentations. Lastly, it addresses the steps to converting between PowerPoint and Keynote file formats. Apple’s Keynote software enables quick and efficient addition of multiple static images or scrollable image stacks, compression of media files, and removal of patient information. These functions can be accomplished by inexperienced users with no software modifications.
doi:10.1007/s10278-010-9345-y
PMCID: PMC3180549  PMID: 20978920
Computers in medicine; Radiology Information Systems (RIS); Radiology teaching file; Image processing; Image display; Productivity; Keynote
10.  Direct comparison of rest and adenosine stress myocardial perfusion CT with rest and stress SPECT 
Introduction
We have recently described a technique for assessing myocardial perfusion using adenosine-mediated stress imaging (CTP) with dual source computed tomography. SPECT myocardial perfusion imaging (SPECT-MPI) is a widely utilized and extensively validated method for assessing myocardial perfusion. The aim of this study was to determine the level of agreement between CTP and SPECT-MPI at rest and under stress on a per-segment, per-vessel, and per-patient basis.
Methods
Forty-seven consecutive patients underwent CTP and SPECT-MPI. Perfusion images were interpreted using the 17 segment AHA model and were scored on a 0 (normal) to 3 (abnormal) scale. Summed rest and stress scores were calculated for each vascular territory and patient by adding corresponding segmental scores.
Results
On a per-segment basis (n = 799), CTP and SPECT-MPI demonstrated excellent correlation: Goodman-Kruskall γ = .59 (P < .0001) for stress and .75 (P < .0001) for rest. On a per-vessel basis (n = 141), CTP and SPECT-MPI summed scores demonstrated good correlation: Pearson r = .56 (P < .0001) for stress and .66 (P < .0001) for rest. On a per-patient basis (n = 47), CTP and SPECT-MPI demonstrated good correlation: Pearson r = .60 (P < .0001) for stress and .76 (P < .0001) for rest.
Conclusions
CTP compares favorably with SPECT-MPI for detection, extent, and severity of myocardial perfusion defects at rest and stress.
doi:10.1007/s12350-009-9156-z
PMCID: PMC2946891  PMID: 19936863
Adenosine; computed tomography (CT); ischemia; myocardial; sestamibi; SPECT

Results 1-10 (10)