Gaston A Rodriguez-Granillo, Juan Cirio, Jose F Vila, Eran Langzam, Thomas Ivanc, Lucia Fontana, Amalia Descalzo, Bibiana Rubilar, Pedro Lylyk
{"title":"Noncontrast Myocardial Characterization in Acute Myocardial Infarction Using Electron Density Imaging.","authors":"Gaston A Rodriguez-Granillo, Juan Cirio, Jose F Vila, Eran Langzam, Thomas Ivanc, Lucia Fontana, Amalia Descalzo, Bibiana Rubilar, Pedro Lylyk","doi":"10.1097/RTI.0000000000000749","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Spectral computed tomography (CT) enables improved tissue characterization, although virtually all research has focused on contrast-enhanced examinations. We hypothesized that changes in myocardial tissue related to acute myocardial infarction (AMI) might potentially be identified without the need for contrast administration using electron density (ED) imaging.</p><p><strong>Patients and methods: </strong>This retrospective observational study involved a small series (n = 15) of patients admitted to our institution with a first AMI without signs of hemodynamic instability and identification of a culprit vessel with invasive coronary angiography during the same admission, who also underwent a noncontrast, low-dose chest CT using a dual-layer spectral CT scanner. Images were assessed in search of dark areas with low density on ED imaging, and the mean percentage ED relative to water (%EDW) was calculated.</p><p><strong>Results: </strong>Using a qualitative approach, ED assessment enabled the identification of 11/15 (73%) affected coronary territories, with a sensitivity of 73% (95% CI: 45; 92%) and a specificity of 87% (95% CI: 69; 96%). AMI segments showed significantly lower ED values than the remote myocardium (103.8 ± 0.8 vs 104.3 ± 0.6 %EDW, P < 0.0001), and a threshold below 103.9 %EDW had a sensitivity of 66% and specificity of 79% for the identification of AMI. In a control group of patients without a history of cardiovascular disease, none had areas with focal reduction of ED following the shape of the myocardial wall.</p><p><strong>Conclusions: </strong>In our preliminary series, ED imaging showed the potential to enable the identification of myocardial tissue changes related to AMI without iodinated contrast requirement.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":"173-177"},"PeriodicalIF":2.0000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Thoracic Imaging","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/RTI.0000000000000749","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/9/27 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: Spectral computed tomography (CT) enables improved tissue characterization, although virtually all research has focused on contrast-enhanced examinations. We hypothesized that changes in myocardial tissue related to acute myocardial infarction (AMI) might potentially be identified without the need for contrast administration using electron density (ED) imaging.
Patients and methods: This retrospective observational study involved a small series (n = 15) of patients admitted to our institution with a first AMI without signs of hemodynamic instability and identification of a culprit vessel with invasive coronary angiography during the same admission, who also underwent a noncontrast, low-dose chest CT using a dual-layer spectral CT scanner. Images were assessed in search of dark areas with low density on ED imaging, and the mean percentage ED relative to water (%EDW) was calculated.
Results: Using a qualitative approach, ED assessment enabled the identification of 11/15 (73%) affected coronary territories, with a sensitivity of 73% (95% CI: 45; 92%) and a specificity of 87% (95% CI: 69; 96%). AMI segments showed significantly lower ED values than the remote myocardium (103.8 ± 0.8 vs 104.3 ± 0.6 %EDW, P < 0.0001), and a threshold below 103.9 %EDW had a sensitivity of 66% and specificity of 79% for the identification of AMI. In a control group of patients without a history of cardiovascular disease, none had areas with focal reduction of ED following the shape of the myocardial wall.
Conclusions: In our preliminary series, ED imaging showed the potential to enable the identification of myocardial tissue changes related to AMI without iodinated contrast requirement.
目的:光谱计算机断层扫描(CT)能够改善组织特征,尽管几乎所有的研究都集中在对比增强检查上。我们假设,与急性心肌梗死(AMI)相关的心肌组织变化可能在不需要使用电子密度(ED)成像进行对比剂给药的情况下被识别。患者和方法:这项回顾性观察性研究涉及一小组(n=15)患者,他们因首次AMI入院,没有血液动力学不稳定的迹象,并在同一入院期间通过有创冠状动脉造影确定了罪魁祸首血管,他们还使用双层光谱CT扫描仪进行了非光栅低剂量胸部CT检查。在ED成像中评估图像以寻找低密度的暗区,并计算ED相对于水的平均百分比(%EDW)。结果:采用定性方法,ED评估能够识别11/15(73%)受影响的冠状动脉区域,敏感性为73%(95%CI:45;92%),特异性为87%(95%CI:69;96%)。AMI段的ED值明显低于远端心肌(103.8±0.8 vs 104.3±0.6 %EDW,P<0.0001),阈值低于103.9 %EDW对AMI的敏感性为66%,特异性为79%。在没有心血管病史的对照组患者中,没有一个区域的ED随心肌壁的形状而局部减少。结论:在我们的初步系列中,ED成像显示出在不需要碘化造影剂的情况下能够识别与AMI相关的心肌组织变化的潜力。
期刊介绍:
Journal of Thoracic Imaging (JTI) provides authoritative information on all aspects of the use of imaging techniques in the diagnosis of cardiac and pulmonary diseases. Original articles and analytical reviews published in this timely journal provide the very latest thinking of leading experts concerning the use of chest radiography, computed tomography, magnetic resonance imaging, positron emission tomography, ultrasound, and all other promising imaging techniques in cardiopulmonary radiology.
Official Journal of the Society of Thoracic Radiology:
Japanese Society of Thoracic Radiology
Korean Society of Thoracic Radiology
European Society of Thoracic Imaging.