Hot Topics in Cardiopulmonary Imaging

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: closed (31 October 2018) | Viewed by 4575

Special Issue Editor


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Guest Editor
Universita Cattolica del Sacro Cuore, Rome, Department of Bioimaging and Radiological Sciences, Roma, Italy
Interests: cardiovascular MR; cardiovascular CT; ischemic heart disease; cardiomyopathies; valvular heart diseases; oncologic imaging

Special Issue Information

Dear colleagues,

This Special Issue on “Hot Topics in Cardiopulmonary Imaging” has its unique motivation in the always more-and-more strict correlations between cardiac imaging and chest imaging. Pathophysiologic links have been well known for many decades, but the most recent technical developments, both in CT and MRI, have led to the unique opportunity of fast assessment of heart and lung at the same time, particularly in regards to the many diseases that can affect both of them.

This holistic vision of cardiopulmonary imaging probably also needs to revise the role and the background of the radiologist, not compartmentalized in a single organ; in other words, neither two black areas around the heart for the cardiac radiologist, nor a black hole between the lungs for the chest radiologist.

To gather these results, the first step is an up-to-date knowledge of technical improvements.

This issue will cover the most recent advances in the fields of computed tomography (CT) and magnetic resonance imaging (MRI), focusing on the role of morphologic and functional techniques in evaluating heart and lung diseases.

Submission are invited for papers covering the role of imaging in the newest applications of spectral CT imaging, CT tissue characterization of the myocardium, and imaging of combined lung and heart diseases.

Prof. Luigi Natale
Guest Editor

Manuscript Submission Information

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Keywords

  • CT, lung
  • CT, myocardium
  • CT, spectral
  • MR, myocardium
  • Tissue characterization
  • Pulmonary hypertension
  • Pulmonary embolism
  • Systemic diseases
  • Ischemic Heart disease
  • Cardiomyopathies
  • Acute chest pain

Published Papers (1 paper)

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Research

10 pages, 3435 KiB  
Article
Can 3D RVEF be Prognostic for the Non-Ischemic Cardiomyopathy Patient but Not the Ischemic Cardiomyopathy Patient? A Cardiovascular MRI Study
by Sartaj S. Gill, Mark Doyle, Diane V. Thompson, Ronald Williams, June Yamrozik, Saundra B. Grant and Robert W. W. Biederman
Diagnostics 2019, 9(1), 16; https://doi.org/10.3390/diagnostics9010016 - 23 Jan 2019
Cited by 4 | Viewed by 4363
Abstract
Background: While left ventricular ejection fraction (LVEF) has been shown to have prognostic value in ischemic cardiomyopathy (ICMX) patients, right ventricular ejection fraction (RVEF) has not been systematically evaluated in either ICMX or non-ischemic cardiomyopathy (NICMX) patients. Moreover, an accurate estimation of RVEF [...] Read more.
Background: While left ventricular ejection fraction (LVEF) has been shown to have prognostic value in ischemic cardiomyopathy (ICMX) patients, right ventricular ejection fraction (RVEF) has not been systematically evaluated in either ICMX or non-ischemic cardiomyopathy (NICMX) patients. Moreover, an accurate estimation of RVEF is problematic due to the geometry of the right ventricle (RV). Over the years, there have been improvements in the resolution, image acquisition and post-processing software for cardiac magnetic resonance imaging (CMR), such that CMR has become the “gold standard” for measuring RV volumetrics and RVEF. We hypothesize that CMR defines RVEF more so than LVEF and might have prognostic capabilities in ischemic and non-ischemic cardiomyopathy patients (ICMX and NICMX). Methods: Patients that underwent CMR at our institution between January 2005 and October 2012 were retrospectively selected if three-dimensional (3D) LVEF < 35%. Patients were further divided into ICMX and NICMX groups. The electronic medical record (EMR) database inquiry determined all-cause mortality and major adverse cardiovascular events (MACE). Additionally, a Social Security Death Index (SSI) database inquiry was performed to determine all-cause mortality in patients who were lost to follow-up. Patients were further sub-grouped on the basis of 3D RVEF ≥ 20%. Separately, patients were sub-grouped by LVEF ≥ 20% in both ICMX and NICMX cases. A cut-off of ≥20% was chosen for the RVEF based on the results of prior studies showing significance based on Kaplan–Meier (KM) survival curves. Cumulative event rates were estimated for each subgroup using the KM analysis and were compared using the log-rank test. The 3D RV/LVEFs were compared to all-cause mortality and MACE. ICMX patients were defined using the World Health Organization (WHO) criteria. Results: From a 7000-patient CMR database, 753 heart failure patients were selected. Eighty-seven patients met WHO definition of ICMX and NICMX (43 ICMX and 44 NICMX). The study patients were followed for a median of 3 years (Interquartile range or IQR 1.5–6.5 years). The mean age of patients was 58 ± 13 years; 79% were male. In ICMX, mean 3D LVEF was 21% ± 6% and mean 3D RVEF was 38% ± 14%, while for NICMX, mean 3D LVEF was 16% ± 6% and mean 3D RVEF was 30% ± 14% (p < 0.005 for intra- and inter-group comparison). It should be noted that LVEF < RVEF in both groups and the ejection fraction (EF) in NICMX was less than the corresponding EF in ICMX. Overall mortality was higher in ICMX than NICMX (12/40, 30% vs. 7/43, 16%; p < 0.05). Patients were stratified based on both RVEF and LVEF with a threshold of EF ≥ 20% separately. RVEF but not LVEF was a significant predictor of death for NICMX (χ2 = 8; p < 0.005), while LVEF did not predict death in ICMX (χ2 = 2, p = not significant). Similarly, time to MACE was predicted by RVEF for NICMX (χ2 = 9; p < 0.005) but not by LVEF in ICMX (χ2 = 1; p = NS). Importantly, RVEF, while predictive of NICMX MACE, did not emerge as a predictor of survival or MACE in ICMX. Conclusions: Via 3D CMR in non-ischemic CMX patients, RVEF has important value in predicting death and time to first MACE while 3D LVEF is far less predictive. Full article
(This article belongs to the Special Issue Hot Topics in Cardiopulmonary Imaging)
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