scholarly journals T1 MAPPING FOR MYOCARDIAL TISSUE EVALUATION IN PATIENTS WITH ISCHEMIA AND STABLE CORONARY ARTERY DISEASE: MASS V-TRIAL STUDY GROUP

2020 ◽  
Vol 75 (11) ◽  
pp. 1683
Author(s):  
Matheus Ribeiro ◽  
Whady Hueb ◽  
Paulo Rezende ◽  
Carlos Rochitte ◽  
Cesar Nomura ◽  
...  
2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
M Ribeiro ◽  
W Hueb ◽  
P.C Rezende ◽  
C.E Rochitte ◽  
C.H Nomura ◽  
...  

Abstract Background T1 mapping is a magnetic resonance imaging (MRI) technique that enables the identification of myocardial structural changes during acute ischemic injury. However, it is not known whether these structural changes are present in patients with chronic effort induced ischemia.Thus, we sought to document the possible T1 mapping changes in chronic coronary artery disease (CAD) patients with documented myocardial ischemia. Methods Multivessel CAD patients from MASS V Trial with indication of myocardial revascularization, were evaluated for the presence of ischemia by myocardial scintigraphy. MRI with T1 mapping was performed in all patients. Based on the results of the scintigraphy, the myocardial segments were identified as ischemic and non-ischemic segments. The corresponding segments of scintigraphy and MRI were compared in relation to native T1 map (NT1), post-contrast T1 (CAT1) and extracellular volume (ECV). Results Of the 720 myocardial segments analyzed, there were 161 ischemic and 559 non-ischemic segments. Comparing ischemic vs non-ischemic segments, respectively, NT1 was 1022.7 (980.0–1052.0) versus 1029.3 (985.0–1066.3), p=0.57, ECV results were 25.4 (24.0–28.1) versus 26.4 (25.3–29.9), p=0.75 and CAT1 results were 492 (461.9–515.4) versus 488 (469.2–521.7), p=0.09. Myocardial segments supplied by obstructive coronary arteries were compared to those supplied by non-obstructive coronary arteries in relation to NT1 and ECV. NT1 values in obstructive and non-obstructive territories were, respectively, 1024.7 (998.5–1043.5) versus 1036.8 (1008.6–1046.9), p=0.30 and ECV results were 26.8 (24.4–29.9) versus 26.8 (24.4–30.0), p=0.90. Conclusion In this study, MRI identified structural similarities between chronic ischemic myocardium compared to the non-ischemic myocardium. This finding supports myocardial tissue stability in the presence of stress induced ischemia. Funding Acknowledgement Type of funding source: Foundation. Main funding source(s): Zerbini Foundation and also by the FAPESP (2011/ 20876-2)


Diabetes ◽  
1997 ◽  
Vol 46 (9) ◽  
pp. 1491-1496 ◽  
Author(s):  
M. Maki ◽  
P. Nuutila ◽  
H. Laine ◽  
L. M. Voipio-Pulkki ◽  
M. Haaparanta ◽  
...  

2020 ◽  
Vol 27 (7) ◽  
pp. 1052-1080 ◽  
Author(s):  
Evangelos Oikonomou ◽  
Gerasimos Siasos ◽  
Vasiliki Tsigkou ◽  
Evanthia Bletsa ◽  
Maria-Evi Panoilia ◽  
...  

Coronary artery disease is the leading cause of morbidity and mortality worldwide. The most common pathophysiologic substrate is atherosclerosis which is an inflammatory procedure that starts at childhood and develops throughout life. Endothelial dysfunction is associated with the initiation and progression of atherosclerosis and is characterized by the impaired production of nitric oxide. In general, endothelial dysfunction is linked to poor cardiovascular prognosis and different methods, both invasive and non-invasive, have been developed for its evaluation. Ultrasound evaluation of flow mediated dilatation of the branchial artery is the most commonly used method to assessed endothelial function while intracoronary administration of vasoactive agents may be also be used to test directly endothelial properties of the coronary vasculature. Endothelial dysfunction has also been the subject of therapeutic interventions. This review article summarizes the knowledge about evaluation of endothelial function in acute coronary syndromes and stable coronary artery disease and demonstrates the current therapeutic approaches against endothelial dysfunction.


BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e047677
Author(s):  
Pierpaolo Mincarone ◽  
Antonella Bodini ◽  
Maria Rosaria Tumolo ◽  
Federico Vozzi ◽  
Silvia Rocchiccioli ◽  
...  

ObjectiveExternally validated pretest probability models for risk stratification of subjects with chest pain and suspected stable coronary artery disease (CAD), determined through invasive coronary angiography or coronary CT angiography, are analysed to characterise the best validation procedures in terms of discriminatory ability, predictive variables and method completeness.DesignSystematic review and meta-analysis.Data sourcesGlobal Health (Ovid), Healthstar (Ovid) and MEDLINE (Ovid) searched on 22 April 2020.Eligibility criteriaWe included studies validating pretest models for the first-line assessment of patients with chest pain and suspected stable CAD. Reasons for exclusion: acute coronary syndrome, unstable chest pain, a history of myocardial infarction or previous revascularisation; models referring to diagnostic procedures different from the usual practices of the first-line assessment; univariable models; lack of quantitative discrimination capability.MethodsEligibility screening and review were performed independently by all the authors. Disagreements were resolved by consensus among all the authors. The quality assessment of studies conforms to the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2). A random effects meta-analysis of area under the receiver operating characteristic curve (AUC) values for each validated model was performed.Results27 studies were included for a total of 15 models. Besides age, sex and symptom typicality, other risk factors are smoking, hypertension, diabetes mellitus and dyslipidaemia. Only one model considers genetic profile. AUC values range from 0.51 to 0.81. Significant heterogeneity (p<0.003) was found in all but two cases (p>0.12). Values of I2 >90% for most analyses and not significant meta-regression results undermined relevant interpretations. A detailed discussion of individual results was then carried out.ConclusionsWe recommend a clearer statement of endpoints, their consistent measurement both in the derivation and validation phases, more comprehensive validation analyses and the enhancement of threshold validations to assess the effects of pretest models on clinical management.PROSPERO registration numberCRD42019139388.


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