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Various non-invasive images are used in clinical practice for the diagnosis and prognostication of chronic coronary syndromes. Notably, quantitative myocardial perfusion imaging (MPI) through positron emission tomography (PET) has seen significant technical advancements and a substantial increase in its use over the past two decades. This progress has generated an unprecedented wealth of clinical information, which, when properly applied, can diagnose and fine-tune the management of patients with different types of ischemic syndromes. This state-of-art review focuses on quantitative PET MPI, its integration into clinical practice, and how it holds up at the eyes of modern cardiac imaging and revascularization clinical trials, along with future perspectives.

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As patient exposure to ionizing radiation from medical imaging and its risks are continuing issues, this study aimed to evaluate DNA damage and repair markers after myocardial perfusion single-photon emission computed tomography (MPS). Thirty-two patients undergoing Tc-99m sestamibi MPS were studied. Peripheral blood was collected before radiotracer injection at rest and 60-90 min after injection. The comet assay (single-cell gel electrophoresis) was performed with peripheral blood cells to detect DNA strand breaks. Three descriptors were evaluated: the percentage of DNA in the comet tail, tail length, and tail moment (the product of DNA tail percentage and tail length). Quantitative PCR (qPCR) was performed to evaluate the expression of five genes related to signaling pathways in response to DNA damage and repair (ATM, ATR, BRCA1, CDKN1A, and XPC). Mann-Whitney's test was employed for statistical analysis; p < 0.05 was considered significant. Mean Tc-99m sestamibi dose was 15.1 mCi. After radiotracer injection, comparing post-exposure to pre-exposure samples of each of the 32 patients, no statistically significant differences of the DNA percentage in the tail, tail length or tail moment were found. qPCR revealed increased expression of BRCA1 and XPC, without any significant difference regarding the other genes. No significant increase in DNA strand breaks was detected after a single radiotracer injection for MPS. There was activation of only two repair genes, which may indicate that, in the current patient sample, the effects of ionizing radiation on the DNA were not large enough to trigger intense repair responses, suggesting the absence of significant DNA damage.

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Antecedentes. El valor pronóstico de una ergometría positiva en el contexto de imágenes tomográficas de perfusión miocárdica de estrés y reposo (SPECT) normales no está bien establecido. Objetivos. Documentar la incidencia de infarto, muerte y revascularización coronaria en pacientes con una ergometría positiva de riesgo intermedio e imágenes de perfusión SPECT normales, y explorar el potencial valor del puntaje de riesgo de Framingham en la estratificación pronóstica de estos pacientes. Métodos. Cohorte retrospectiva integrada por pacientes que habían presentado síntomas o hallazgos electrocardiográficos compatibles con enfermedad arterial coronaria durante la prueba de esfuerzo, con criterios de riesgo intermedio en la puntuación de Duke y perfusión miocárdica SPECT normal. Fueron identificados a partir de la base de datos del laboratorio de cardiología nuclear del Instituto de Cardiología y Cirugía Cardiovascular de la ciudad de Posadas, Argentina. Resultados. Fueron elegibles 217 pacientes. El seguimiento fue de 3 1,5 años. La sobrevida libre de eventos (muerte,infarto de miocardio no fatal, angioplastia coronaria o cirugía de bypass de arteria coronaria) a uno, tres y cinco años fue significativamente menor (Log-rank test, p= 0,001) en el grupo con puntaje de Framingham alto o muy alto (77, 71y 59 %, respectivamente) que en el grupo de puntaje bajo o intermedio (89, 87 y 83 %). Tomando como referencia a los pacientes con riesgo bajo en el puntaje de Framingham, luego de ajustar por edad, sexo y puntaje de Duke, los pacientes categorizados en los estratos alto y muy alto riesgo del puntaje de Framingham presentaron una incidencia del evento combinado cercana al triple (hazard ratio [HR] 2,81; intervalo de confianza [IC] del 95 % 0,91 a 8,72; p= 0,07 y HR 3,61;IC 95 % 1,23 a 10,56; p= 0,019 respectivamente). Conclusiones. La estimación de riesgo con el puntaje de Framingham sería de ayuda en la estratificación pronóstica de los pacientes con ergometría positiva y SPECT normal. (AU)

Background. The prognostic value of positive exercise testing with normal SPECT myocardial perfusion imaging is not well established. Objectives. To document the incidence of infarction, death, and coronary revascularization in patients with a positive intermediate-risk exercise test and normal SPECT perfusion images and to explore the potential value of the Framingham Risk Score in the prognostic stratification of these patients. Methods. A retrospective cohort comprised patients who presented symptoms or electrocardiographic findings compatible with coronary artery disease during the stress test, with intermediate risk criteria in the Duke score and normal SPECT myocardial perfusion. They were identified from the database of the nuclear cardiology laboratory of the Instituto de Cardiología y Cirugía Cardiovascular of Posadas, Argentina. Results. 217 patients were eligible. Follow-up was 3 1.5 years. Event-free survival (death, non-fatal myocardial infarction, coronary angioplasty, or coronary artery bypass surgery) at one, three, and five years was significantly lower (Log-ranktest, p: 0.001) in the group with a score of Framingham high or very high (77, 71 and 59 %, respectively) than in the lowor intermediate score group (89, 87 and 83 %). Taking as reference the low-risk patients in the Framingham score, after adjusting for age, sex, and Duke score, the patients categorized in the high-risk and very high-risk strata showed about three times higher incidence of the combined event (hazard ratio [HR] 2.81; 95 % confidence interval [CI] 0.91 to 8.72;p=0.07 and HR 3.61; 95 % CI 1.23 to 10.56; p=0.019 respectively). Conclusions. Risk estimation with the Framingham score would be helpful in the prognostic stratification of patients with positive exercise testing and normal SPECT. (AU)

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La evaluación de la perfusión miocárdica con SPECT combina una prueba de esfuerzo (ergometría o estrés farmacológico) junto a imágenes de perfusión con radioisótopos. Este estudio es útil para establecer el diagnóstico de enfermedad arterial coronaria, estratificar el riesgo de infarto y tomar decisiones terapéuticas. Un resultado normal aporta un alto valor predictivo negativo, es decir, una muy baja probabilidad de que el paciente presente eventos cardiovasculares. El hallazgo de signos de isquemia en la ergometría podría poner en jaque el valor predictivo negativo de una perfusión normal. En presencia de este resultado, el paso siguiente es evaluar los predictores de riesgo en la ergometría, el riesgo propio del paciente en función de los antecedentes clínicos y el puntaje cálcico coronario, cuando este se encuentra disponible. Ante la presencia concomitante de otros marcadores de riesgo se sugiere completar la evaluación con un estudio anatómico.El uso de nuevas tecnologías podría mejorar la precisión en la predicción de eventos. (AU)

Assessment of myocardial perfusion with SPECT combines a stress test (ergometry or pharmacological stress) with radioisotope perfusion imaging. This test is helpful to diagnose coronary artery disease, stratify the risk of heart attack, and make therapeutic decisions. A normal result provides a high negative predictive value; therefore, the probability of cardiovascular events is very low. Signs of ischemia on an ergometry could jeopardize the negative predictive value of normal perfusion. In this clinical setting, the next step is to evaluate the risk predictors in the stress test, the individual risk based on the clinical history, and the coronary calcium score when available. Given the simultaneous presence of other risk markers,completing the evaluation with an anatomical study is suggested. The use of new technologies could improve the accuracy of event prediction. (AU)

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Resumo Fundamento O nível socioeconômico tem sido associado à doença isquêmica do coração (DIC). Bairros de alta renda podem expor os indivíduos a um ambiente construído que promova caminhadas para atividades diárias (caminhabilidade). Faltam dados sobre a associação entre renda e DIC em países de renda média. Também é incerto se a caminhabilidade medeia essa associação. Objetivos Investigar se a renda está associada à DIC em um país de renda média e se a caminhabilidade dos bairros medeia a associação entre renda e DIC. Métodos O presente estudo transversal avaliou 44.589 pacientes encaminhados para imagem de perfusão miocárdica (SPECT-MPI). A renda e a caminhabilidade foram derivadas do setor censitário residencial dos participantes. A pontuação quantitativa da caminhabilidade combinou as seguintes 4 variáveis: conectividade viária, densidade residencial, densidade comercial e uso misto do solo. A DIC foi definida pela presença de perfusão miocárdica anormal durante um estudo SPECT-MPI. Utilizamos modelos ajustados com efeitos mistos para avaliar a associação entre nível de renda e DIC e realizamos uma análise de mediação para medir o percentual da associação entre renda e DIC mediada pela caminhabilidade. Consideramos valores de p abaixo de 0,01 como estatisticamente significativos. Resultados Dos 26.415 participantes, aqueles que residiam no setor censitário do tercil de menor renda eram mais fisicamente inativos (79,1% versus 75,8% versus 72,7%) quando comparados aos setores censitários do tercil de maior renda (p < 0,001). A renda foi associada à DIC (odds ratio: 0,91 [intervalo de confiança de 95%: 0,87 a 0,96] para cada aumento de 1000,00 dólares internacionais na renda), para homens e mulheres igualmente (p para interação = 0,47). Os setores censitários com maior renda estiveram associados a uma melhor caminhabilidade (p < 0,001); no entanto, a caminhabilidade não mediou a associação entre renda e DIC (porcentagem mediada = −0,3%). Conclusões A renda foi independentemente associada a maior prevalência de DIC em um país de renda média, independentemente de gênero. Embora a caminhabilidade tenha sido associada à renda do setor censitário, ela não mediou a associação entre renda e DIC.

Abstract Background Socioeconomic status has been linked to ischemic heart disease (IHD). High-income neighborhoods may expose individuals to a walking-promoting built environment for daily activities (walkability). Data from the association between income and IHD is lacking in middle-income countries. It is also uncertain whether walkability mediates this association. Objectives To investigate whether income is associated with IHD in a middle-income country and whether neighborhood walkability mediates the income-IHD association. Methods This cross-sectional study evaluated 44,589 patients referred for myocardial perfusion imaging (SPECT-MPI). Income and walkability were derived from participants' residential census tract. Walkability quantitative score combined 4 variables: street connectivity, residential density, commercial density, and mixed land use. IHD was defined by abnormal myocardial perfusion during a SPECT-MPI study. We used adjusted mixed effects models to evaluate the association between income level and IHD, and we performed a mediation analysis to measure the percentage of the income-IHD association mediated by walkability. We considered p values below 0.01 as statistically significant. Results From 26,415 participants, those living in the lowest-income tertile census tract were more physically inactive (79.1% versus 75.8% versus 72.7%) when compared to higher-income tertile census tracts (p < 0.001). Income was associated with IHD (odds ratio: 0.91 [95% confidence interval: 0.87 to 0.96] for each 1,000.00 international dollars increase in income) for both men and women equally (p for interaction = 0.47). Census tracts with a higher income were associated with better walkability (p < 0.001); however, walkability did not mediate the income-IHD association (percent mediated = −0.3%). Conclusions Income was independently associated with higher prevalence of IHD in a middle-income country irrespective of gender. Although walkability was associated with census tract income, it did not mediate the income-IHD association.

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Resumo Fundamento A contagem corrigida de quadros TIMI (CTFC), o grau de blush miocárdico (MBG) e a resolução do segmento ST (STR) são parâmetros utilizados para avaliar a reperfusão em nível microvascular em pacientes submetidos à intervenção coronária percutânea primária (ICPp). A relação fibrinogênio/albumina (FAR) tem sido associada a eventos trombóticos em pacientes com infarto do miocárdio com elevação do segmento ST (IAMCSST) e insuficiência venosa crônica. Objetivos Investigar a relação do FAR com CTFC, MBG e STR.Métodos: O estudo incluiu 167 pacientes consecutivos que foram submetidos a ICPp com sucesso para IAMCSST e alcançaram fluxo TIMI-3. Os casos foram divididos em dois grupos, FAR alto (> 0,0765) e FAR baixo (≤ 0,0765), de acordo com o valor de corte desse parâmetro na análise característica do operador do receptor (ROC). STR, CTFC e MBG foram utilizados para avaliar a reperfusão miocárdica. Valores de p<0,05 foram considerados estatisticamente significativos. Resultados O valor CTFC, escore SYNTAX, relação neutrófilos/linfócitos, lipoproteína de baixa densidade, glicose e pico de cTnT foram significativamente maiores, enquanto STR, MBG e FEVE foram menores no grupo FAR alto. A análise de correlação de Spearman revelou relação significativa entre FAR e STR (r=-0,666, p<0,001), MBG (-0,523, p<0,001) e CTFC (r=0,731, p≤0,001). De acordo com a análise de regressão logística, FAR, glicose, pico de cTnT e dor até o tempo de Balão foram os preditores independentes mais importantes de MBG 0/1, CTFC>28 e STR<50%). A análise ROC revelou que o ponto de corte o valor de FAR≥0,0765 foi preditor de STR incompleto com sensibilidade de 71,9% e especificidade de 69,8%, MBG0/1 com sensibilidade de 72,6% e especificidade de 68,6%, e CTFC>28 com sensibilidade de 76% e uma especificidade de 65,8%. Conclusões A FAR é um importante preditor independente de perfusão microvascular em pacientes submetidos a ICPp por IAMCSST.

Abstract Background Correct TIMI frame count (CTFC), myocardial blush grade (MBG), and ST-segment resolution (STR) are parameters used to evaluate reperfusion at the microvascular level in patients that have undergone primary percutaneous coronary intervention (pPCI). Fibrinogen-to-albumin ratio (FAR) has been associated with thrombotic events in patients with ST-elevation myocardial infarction (STEMI) and chronic venous insufficiency. Objectives To investigate the relationship of FAR with CTFC, MBG, and STR. Methods: The study included 167 consecutive patients who underwent successful pPCI for STEMI and achieved TIMI-3 flow. The cases were divided into two groups, high (>0.0765) and low FAR (≤0.0765), according to the cut-off value of this parameter in the receiver operator characteristic analysis (ROC). STR, CTFC, and MBG were used to evaluate myocardial reperfusion. P values<0.05 were considered statistically significant. Results CTFC value, SYNTAX score, neutrophil/lymphocyte ratio, low-density lipoprotein, glucose, and peak cTnT were significantly higher, whereas STR, MBG, and LVEF were lower in the high FAR group. Spearman's correlation analysis revealed a significant relationship between the FAR and STR (r=-0.666, p<0.001), MBG (-0.523, p<0.001), and CTFC (r=0.731, p≤0.001). According to the logistic regression analysis, FAR, glucose, peak cTnT, and pain to balloon time were the most important independent predictors of MBG 0/1, CTFC>28, and STR<50%).ROC analysis revealed that the cut-off value of FAR≥0.0765 was a predictor of incomplete STR with a sensitivity of 71.9 % and a specificity of 69.8 %, MBG0/1 with a sensitivity of 72.6 % and a specificity of 68.6 %, and CTFC >28 with a sensitivity of 76 % and a specificity of 65.8 %. Conclusions FAR is an important independent predictor of microvascular perfusion in patients undergoing pPCI for STEMI.

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BACKGROUND: As patient exposure to ionizing radiation raises concern about malignancy risks, this study evaluated the effect of ionizing radiation on patients undergoing myocardial perfusion imaging (MPI) using the comet assay, a method for detection of DNA damage. METHODS: Patients without cancer, acute or autoimmune diseases, recent surgery or trauma, were studied. Gated single-photon myocardial perfusion imaging was performed with Tc-99m sestamibi. Peripheral blood was collected before radiotracer injection at rest and 60-90 min after injection. Single-cell gel electrophoresis (comet assay) was performed with blood lymphocytes to detect strand breaks, which determine a "comet tail" of variable size, visually scored by 3 observers in a fluorescence microscope after staining (0: no damage, no tail; 1: small damage; 2: large damage; 3: full damage). A damage index was calculated as a weighted average of the cell scores. RESULTS: Among the 29 individuals included in the analysis, age was 65.3 ± 9.9 years and 18 (62.1%) were male. The injected radiotracer dose was 880.6 ± 229.4 MBq. Most cells (approximately 70%) remained without DNA fragmentation (class 0) after tracer injection. There were nonsignificant increases of classes 1 and 2 of damage. Class 3 was the least frequent both before and after radiotracer injection, but displayed a significant, 44% increase after injection. CONCLUSION: While lymphocytes mostly remained in class 0, an increase in class 3 DNA damage was detected. This may suggest that, despite a probable lack of biologically relevant DNA damage, there is still a need for tracer dose reductions in MPI.

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BACKGROUND: Machine learning (ML) models can improve prediction of major adverse cardiovascular events (MACE), but in clinical practice some values may be missing. We evaluated the influence of missing values in ML models for patient-specific prediction of MACE risk. METHODS: We included 20,179 patients from the multicenter REFINE SPECT registry with MACE follow-up data. We evaluated seven methods for handling missing values: 1) removal of variables with missing values (ML-Remove), 2) imputation with median and unique category for continuous and categorical variables, respectively (ML-Traditional), 3) unique category for missing variables (ML-Unique), 4) cluster-based imputation (ML-Cluster), 5) regression-based imputation (ML-Regression), 6) missRanger imputation (ML-MR), and 7) multiple imputation (ML-MICE). We trained ML models with full data and simulated missing values in testing patients. Prediction performance was evaluated using area under the receiver-operating characteristic curve (AUC) and compared with a model without missing values (ML-All), expert visual diagnosis and total perfusion deficit (TPD). RESULTS: During mean follow-up of 4.7 ± 1.5 years, 3,541 patients experienced at least one MACE (3.7% annualized risk). ML-All (reference model-no missing values) had AUC 0.799 for MACE risk prediction. All seven models with missing values had lower AUC (ML-Remove: 0.778, ML-MICE: 0.774, ML-Cluster: 0.771, ML-Traditional: 0.771, ML-Regression: 0.770, ML-MR: 0.766, and ML-Unique: 0.766; p < 0.01 for ML-Remove vs remaining methods). Stress TPD (AUC 0.698) and visual diagnosis (0.681) had the lowest AUCs. CONCLUSION: Missing values reduce the accuracy of ML models when predicting MACE risk. Removing variables with missing values and retraining the model may yield superior patient-level prediction performance.

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BACKGROUND: Exercise tests are an important tool in the investigation of myocardial ischemia. The ramp protocol has gained increasing importance in clinical practice because of the possibility of individualizing its exercise intensity. OBJECTIVE: To assess and compare the sensitivity, specificity, and accuracy of Bruce and ramp protocols for exercise testing in the diagnosis of myocardial ischemia considering myocardial perfusion scintigraphy as the reference standard. Secondary objectives included the assessment of hemodynamic profiles, functional capacity, and the incidence of arrhythmias in each of the protocols. METHODS: Participants underwent exercise testing using the ramp and Bruce protocols, and the tests' diagnostic power was assessed. For testing the difference between data provided by both protocols, we used a paired Student's t-test or Wilcoxon test, depending on the assumption of data normality. The level of significance adopted for all tests was 5%. RESULTS: The ramp protocol showed sensitivity, specificity, and accuracy values of 55.6%, 82.4%, and 76.7%, respectively, whereas the Bruce protocol had results of 77.8%, 64.7%, and 67.4%, respectively. The maximum heart rate and double product at peak exercise were significantly higher in the Bruce protocol (p = 0.043 and p = 0.040, respectively). No differences were observed between the incidence of arrhythmias in both protocols. CONCLUSION: The Bruce protocol presented higher sensitivity for detecting ischemia on the exercise test, while the ramp protocol presented higher specificity and accuracy.

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Myocardial perfusion imaging (MPI) plays an important role in patients with suspected and documented coronary artery disease (CAD). Machine Learning (ML) algorithms have been developed for many medical applications with excellent performance. This study used ML algorithms to discern normal and abnormal gated Single Photon Emission Computed Tomography (SPECT) images. We analyzed one thousand and seven polar maps from a database of patients referred to a university hospital for clinically indicated MPI between January 2016 and December 2018. These studies were reported and evaluated by two different expert readers. The image features were extracted from a specific type of polar map segmentation based on horizontal and vertical slices. A senior expert reading was the comparator (gold standard). We used cross-validation to divide the dataset into training and testing subsets, using data augmentation in the training set, and evaluated 04 ML models. All models had accuracy >90% and area under the receiver operating characteristics curve (AUC) >0.80 except for Adaptive Boosting (AUC = 0.77), while all precision and sensitivity obtained were >96 and 92%, respectively. Random Forest had the best performance (AUC: 0.853; accuracy: 0,938; precision: 0.968; sensitivity: 0.963). ML algorithms performed very well in image classification. These models were capable of distinguishing polar maps remarkably into normal and abnormal.

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Myocardial perfusion imaging (MPI) is an essential tool used to diagnose and manage patients with suspected or known coronary artery disease. Additionally, the General Data Protection Regulation (GDPR) represents a milestone about individuals' data security concerns. On the other hand, Machine Learning (ML) has had several applications in the most diverse knowledge areas. It is conceived as a technology with huge potential to revolutionize health care. In this context, we developed ML models to evaluate their ability to distinguish an individual's sex from MPI assessment. We used 260 polar maps (140 men/120 women) to train ML algorithms from a database of patients referred to a university hospital for clinically indicated MPI from January 2016 to December 2018. We tested 07 different ML models, namely, Classification and Regression Tree (CART), Naive Bayes (NB), K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Adaptive Boosting (AB), Random Forests (RF) and, Gradient Boosting (GB). We used a cross-validation strategy. Our work demonstrated that ML algorithms could perform well in assessing the sex of patients undergoing myocardial scintigraphy exams. All the models had accuracy greater than 82%. However, only SVM achieved 90%. KNN, RF, AB, GB had, respectively, 88, 86, 85, 83%. Accuracy standard deviation was lower in KNN, AB, and RF (0.06). SVM and RF had had the best area under the receiver operating characteristic curve (0.93), followed by GB (0.92), KNN (0.91), AB, and NB (0.9). SVM and AB achieved the best precision. Our results bring some challenges regarding the autonomy of patients who wish to keep sex information confidential and certainly add greater complexity to the debate about what data should be considered sensitive to the light of the GDPR.

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RESUMEN Fundamento la cardiopatía isquémica presenta una gran prevalencia y mortalidad en Cuba y en países desarrollados. La gammagrafía de perfusión miocárdica es un método diagnóstico no invasivo que facilita el diagnóstico y la toma de decisiones médicas. Objetivo: demostrar el valor de la gammagrafía de perfusión miocárdica en el pronóstico de la cardiopatía isquémica. Método se realizó un estudio descriptivo, de corte longitudinal, prospectivo en un universo de 180 pacientes, que se realizaron estudios de perfusión miocárdica para detectar isquemia, desde enero del 2018 a diciembre del 2019 en el Centro de Investigaciones Médico Quirúrgicas. Las variables estudiadas fueron: características clínico-demográficas (edad, sexo), los factores de riesgo aterogénicos y el dolor torácico. Las variables cualitativas se expresaron en frecuencia y porcentaje y las variables cuantitativas continuas en valores de media y desviación estándar según su distribución y Chi cuadrado. Se tomó como intervalo de confianza el 95 %, con una p < 0,05 para la aceptación e interpretación de los resultados. Resultados el 53,3 % de los pacientes fueron hombres y el 78,3 % padecían hipertensión arterial. Se realizó la prueba de estrés físico para la detección de isquemia al 76,1 %. Predominó el resultado negativo en el 58,9 %; con una evolución clínica al año de solo el 2,8 % con eventos isquémicos. Se demostró isquemia en la perfusión miocárdica al 41,1 %, confirmándose lesiones obstructivas coronarias significativas al 82,4 %. Al año de evolución clínica el 97,3 % desarrolló eventos isquémicos. La caída >10 % de la fracción de eyección ventricular izquierda post-estrés evidenció eventos isquémicos en el 100 % de los pacientes. Conclusiones la gammagrafía de perfusión miocárdica es una técnica no invasiva confiable en el diagnóstico de la cardiopatía isquémica. Aportó seguridad pronóstica a largo plazo tras el resultado negativo de la perfusión miocárdica. La caída de la fracción de eyección ventricular izquierda post-estrés se comportó como una variable predictiva de realizar futuros eventos cardiacos.

ABSTRACT Background: ischemic heart disease has a high prevalence and mortality in Cuba and in developed countries. Myocardial perfusion scintigraphy is a non-invasive diagnostic method that facilitates diagnosis and medical decision-making. Objective: to demonstrate the value of myocardial perfusion scintigraphy in the ischemic heart disease prognosis. Method: a descriptive, prospective longitudinal section study was carried out in 180 patients, in which myocardial perfusion studies were performed to detect ischemia, from January 2018 to December 2019 at the Center for Surgical Medical Research. The variables studied were: clinical-demographic characteristics (age, sex), atherogenic risk factors and chest pain. The qualitative variables were expressed in frequency and percentage and the continuous quantitative variables in mean and standard deviation values according to their distribution and chi square. The 95 % confidence interval was taken, with a p <0.05 for the acceptance and interpretation of the results. Results: the 53.3 % of the patients were men and 78.3 % suffered from arterial hypertension. The physical stress test was performed to detect ischemia at 76.1 %. The negative result predominated in 58.9 %; with a clinical evolution at one year of only 2.8 % with ischemic events. Ischemia was demonstrated in myocardial perfusion in 41.1 %, confirming significant coronary obstructive lesions in 82.4 %. After one year of clinical evolution, 97.3 % developed ischemic events. The drop> 10 % in the post-stress left ventricular ejection fraction showed ischemic events in 100 % of the patients. Conclusions: myocardial perfusion scintigraphy is a reliable non-invasive technique in the ischemic heart disease diagnosis. It provided long-term prognostic security after the negative myocardial perfusion result. The fall in the post-stress left ventricular ejection fraction behaved as a predictive variable of future cardiac events.

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Transient alterations in ventricular conduction and synchronized cardiac performance have been reported in experimental models of myocardial ischemia. In post-stress 99mTc-sestamibi-gated-SPECT myocardial perfusion imaging (MPI), the time elapsed between tracer injection and image acquisition could influence the detection of ischemic left ventricular mechanical dyssynchrony (LVMD). We aimed at evaluating whether early vs. delayed post-stress MPI improve ischemic LVMD detection using the phase analysis parameters standard deviation (SD) and histogram bandwidth (HB) and to assess the correlation between stress-induced changes in SD and HB and other functional parameters. We prospectively studied 32 control subjects (Group-1) and 60 ischemic patients (Group-2). Stress-induced changes were calculated as stress minus rest (Δ). LVMD was defined as post-stress increases of either SD or HB. Group-2 showed higher ΔSD and ΔHB in early than in delayed images: early ΔSD: 1.63 (- 0.37 to 4.83) vs. delayed ΔSD: - 0.39 (- 3.82 to 1.74); early ΔHB: 2.50 (- 4 to 12) vs. ΔHB delayed: - 4 (- 15.75 to 4), all p < 0.01. ΔSD and ΔHB correlated linearly with ΔLV-ejection-fraction (EF) and ΔLV-end systolic-volume (ESV) in early images, all p < 0.01. Early images detected LVMD in more patients than delayed scans (78% vs. 38%; p < 0.01) All patients with LVEF drop in early post-stress evaluation had LVMD. Early post-stress images improve ischemic LVMD detection. Ischemic LVEF and LVESV changes correlate with ΔSD and ΔHB.

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BACKGROUND: To detect ischemia in patients with angina and normal coronaries frequently represents a complex diagnosis. METHODS: To investigate whether left ventricular mechanical dyssynchrony by phase analysis contributes in the evaluation of patients with chest pain and normal coronaries, gated-SPECT myocardial perfusion imaging (MPI) at rest and 30 minutes post-stress was performed in 218 patients with normal epicardial coronaries, who were divided into two groups: those with summed difference score (SDS) ≥ 4 (54 patients, Group 1), and those with SDS < 4 (164 patients, Group 2). Intraventricular synchronism-phase standard deviation (PSD) and histogram bandwidth (HBW)-was evaluated by phase analysis. RESULTS: Women were significantly more frequent in Group 2 (those without ischemia in SPECT MPI): 113 (69%) vs 25 (46%), P = .00001. In males, left ventricular ejection fraction (LVEF) and ventricular volumes were not significantly different between patients with or without ischemia. However, ischemic females showed significantly higher ventricular volumes, minor post-stress LVEF and more negative delta LVEF (- 3.9 vs 0.34, P = .0008) than the non-ischemic ones. There was a significant post-stress increase of PSD and HBW among males, although not among females. According to SSS (≥ 4, with ischemia/necrosis; < 4, without ischemia/necrosis), post-stress PSD and HBW significantly increase both in male and female, and PSD and HBW were significantly higher in females with SSS ≥ 4 compared to those with SSS < 4 (PSD rest: 19.04° vs 11.72°, P < .0001; HBW rest: 58.85° vs 38.21°, P < .0001). PSD and HBW were also higher among males with SSS ≥ 4 compared to those with SSS < 4, although not significantly. CONCLUSION: Higher ventricular volumes in females and dyssynchrony are associated with inducible ischemia in MPI in patients with chest pain and normal coronaries. Stress-induced ischemia increases degree of dyssynchrony.

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BACKGROUND: Patient exposure to radiation during the management of coronary heart disease (CHD) can be reduced with more efficient technologies in nuclear medicine, such as the Cadmium-Zinc-Telluride (CZT) gamma-camera for myocardial perfusion imaging (MPI) studies. However, it has been suggested that CZT has lower specificity, which might lead to more downstream radiological procedures, particularly among obese individuals. METHODS AND RESULTS: We evaluated 244 patients with suspected CHD who underwent CZT-SPECT and matched 1:1 according to sex, age, and body mass index (BMI) with those undergoing MPI study with the Anger gamma-camera (Anger-SPECT). The outcome was the total radiation exposure from the MPI study added to the radiation exposure from all subsequent cardiac examinations during a 90-day follow-up. The total radiation dose after 90 days was significantly lower in the CZT-SPECT group (6.4 ± 4.8 vs 9.5±4.9 mSv, P < .001). After adjusting for potential confounders, CZT-SPECT remained associated with lower total radiation dose, but it significantly attenuated among obese individuals (Beta coefficient - 3.73 ± 0.86 for BMI < 30 vs - 2.30 ± 0.92 for BMI ≥ 30 Kg/m2, P for interaction < 0.032). CONCLUSIONS: CZT-SPECT was associated with lower total radiation doses compared to Anger-SPECT, albeit this benefit may be attenuated in obese individuals.

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Abstract Background Hyperglycemia at the time of admission is related to increased mortality and poor prognosis in patients diagnosed with ST-segment elevation myocardial infarction (STEMI). Objective We aimed to investigate whether tight glucose control during the first 24 hours of STEMI decreases the scintigraphic infarct size. Methods The study population consisted of 56 out of 134 consecutive patients hospitalized with STEMI in a coronary care unit. Twenty-eight patients were treated with continuous insulin infusion during the first 24 hours of hospitalization, while the other 28 patients were treated with subcutaneous insulin on an as-needed basis. The final infarct size was evaluated with single-photon emission computed tomography (SPECT) in all patients on days 4 to 10 of hospitalization. The groups were compared and then predictors of final infarct size were analyzed with univariate and multivariate linear regression analysis. A p-value < 0.05 was considered statistically significant. Results The mean glucose level in the first 24 hours was 130 ± 20 mg/dL in the infusion group and 152 ± 31 mg/dL in the standard care group (p = 0.002), while the mean final infarct size was 20 ± 12% and 27 ± 15% (p = 0.06), respectively. The multivariate linear regression analysis demonstrated that the mean 24-hour glucose level was an independent predictor of the final infarct size (beta 0.29, p = 0.026). Conclusion Tight glucose control with continuous insulin infusion was not associated with smaller infarct size when compared to standard care in STEMI patients. (Int J Cardiovasc Sci. 2020; [online].ahead print, PP.0-0)

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BACKGROUND: Soft tissue attenuation artifacts are the most common cause of misinterpretation in myocardial perfusion Imaging (MPI). Few studies assessing the value of prone imaging in women have been published. Breast attenuation artifacts can be present in up to 40% of the MPI studies in women. OBJECTIVES: This study aimed at evaluating the potential impact of prone MPI on breast attenuation, with a critical analysis of activity optimization and breast size influence. METHODS: MPI of an Anthropomorphic Torso Phantom with silicone breast prostheses and equivalent adipose tissue was compared to a standard MPI database. RESULTS: A medical qualitative and semiquantitative analysis demonstrated higher uptake in the LV anterior segments in the prone position for all injected activities. An artificial myocardium lesion was diagnosable in the right segment in all images, which shows that prone positioning would not mask a true lesion and it assists the cardiologist with a more accurate analysis. These results showed that it is possible to optimize the activity to be injected by up to 55.6% when using combined supine-prone images. CONCLUSION: Prone position has a high impact on the interpretation of MPI in female patients since it reduces the breast attenuation artifacts, and optimizes the radiation protection of the patient and all staff involved in the procedure, making it more cost-effective.

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