The international journal of cardiovascular imaging最新文献

We aimed to evaluate the effect of exercise echocardiography (EE) on Right ventricular (RV) deformation parameters in asymptomatic patients with severe rheumatic mitral stenosis (MS) (mitral valve area ≤ 1.5 cm², stage C) and to determine the relation between symptoms and severity of MS. 38 rheumatic MS patients in stage C underwent EE. 20 Patients were defined; as an exercise intolerance group who couldn't reach a maximum heart rate according to their age during exercise due to developing dyspnea The remaining 18 patients who reached a maximum heart rate without dyspnea were defined; as an exercise tolerance group. RV echocardiographic parameters at baseline and peak exercise were compared between the groups. While RV global strain (RV GLS) (21.02 ± 3.33 vs. 21.92 ± 3.03) and RV free wall longitudinal strain (RV FWLS) (23.41 ± 5.66 vs. 25.08 ± 5.00) at baseline were similar in both groups (P = 0.390 P = 0.343), RV GLS (23.38 ± 4.30 vs. 26.05 ± 3.24) and RV FWLS (24.24 ± 5.78 vs. 28.05 ± 4.62) at peak exercise were reduced in exercise intolerance group (P = 0.040 P = 0.033). The best correlations were found between exercise capacity and RV FWLS at baseline and peak exercise in all MS patients (respectively; r = 0.627 P < 0.001; r = 0.697 P < 0.001). RV mechanics has approved the reliability of EE in patients with asymptomatic patients with severe MS. During exercise RV contractile reserve could diminish in MS patients with stage C who develop dyspnea. Moreover, since our study has a close relationship between exercise capacity and RV mechanics, using RV mechanics during exercise echocardiography may be useful for risk stratification in MS patients with severe MS.

To investigate the diagnostic performance of cine magnetic resonance feature tracking (FT) for pericardial adhesions and hemodynamically significant constrictive pericarditis (CP). This retrospective study included patients who underwent cardiac magnetic resonance (CMR) imaging between 2011 and 2021. Twenty-four patients (median age, 73 years; seven females) suspected of having CP and undergoing CMR were selected (CP group). Age-matched 24 participants with heart failure (HF) and 24 healthy volunteers were also analyzed. The FT method assessed septal bounce, the presence of a dip or plateau pattern, and pericardial adhesions. The diagnostic performance, including the area under the receiver operating characteristic curve (AUC) for hemodynamically significant CP, was evaluated against catheterization results, and the adhesion detection in the combined CP and HF control was based on cine tagging or surgical records. Septal bounce was detected in 54% (13/24) of the patients by FT and 38% (9/24) of the patients by visual evaluation in the CP group but not in the HF or normal group (p < 0.001). To detect hemodynamically significant CP, the sensitivity and specificity of each finding were as follows: septal bounce, 85% (11/13) and 82% (9/11); adhesion, 100% (13/13) and 9% (1/11); dip, 77% (10/13) and 36% (4/11); and plateau, 69% (9/13) and 46% (5/11), respectively. The sensitivity and specificity of pericardial adhesion detection using FT and visual evaluation were 96% (23/24) and 100% (24/24), respectively, and the AUCs were 0.998 and 0.999, respectively. CMR-FT demonstrates high sensitivity and specificity for diagnosing hemodynamically significant CP and pericardial adhesions.

Acute chest pain (ACP) is a frequent cause of Emergency Department (ED) admissions, with millions of cases reported globally each year. Timely and accurate diagnosis is crucial due to the wide range of underlying causes, such as acute coronary syndrome (ACS), pulmonary embolism (PE), aortic dissection, and others. Misdiagnosis can lead to missed life-saving interventions or, alternatively, unnecessary hospitalizations, escalating healthcare costs. While risk stratification tools like the HEART, GRACE, and TIMI scores are useful, additional imaging is often required to achieve diagnostic precision. Coronary computed tomography angiography (CCTA) has shown significant potential in enhancing diagnostic accuracy and improving patient outcomes. In this review, we explore the challenges physicians encounter when evaluating ACP in the ED, emphasizing the utility of CCTA as a key diagnostic tool. Additionally, we present a clinical case that illustrates how CT scan effectively aids in diagnosing patients with ambiguous symptoms, with CT imaging playing a pivotal role in identifying the underlying pathology.

Purpose: This study evaluates the diagnostic performance of artificial intelligence (AI)-based coronary computed tomography angiography (CCTA) for detecting coronary artery disease (CAD) and assessing fractional flow reserve (FFR) in asymptomatic male marathon runners.

Material and methods: We prospectively recruited 100 asymptomatic male marathon runners over the age of 45 for CAD screening. CCTA was analyzed using AI models (CorEx and Spimed-AI) on a local server. The models focused on detecting significant CAD (≥ 50% diameter stenosis, CAD-RADS 3, 4, or 5) and distinguishing hemodynamically significant stenosis (FFR ≤ 0.8) from non-significant stenosis (FFR > 0.8). Statistical analysis included sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy.

Results: The AI model demonstrated high sensitivity, with 91.2% for any CAD and 100% for significant CAD, and high NPV, with 92.7% for any CAD and 100% for significant CAD. The diagnostic accuracy was 73.4% for any CAD and 90.4% for significant CAD. However, the PPV was lower, particularly for significant CAD (25.0%), indicating a higher incidence of false positives.

Conclusion: AI-enhanced CCTA is a valuable non-invasive tool for detecting CAD in asymptomatic, low-risk populations. The AI model exhibited high sensitivity and NPV, particularly for identifying significant stenosis, reinforcing its potential role in screening. However, limitations such as a lower PPV and overestimation of disease indicate that further refinement of AI algorithms is needed to improve specificity. Despite these challenges, AI-based CCTA offers significant promise when integrated with clinical expertise, enhancing diagnostic accuracy and guiding patient management in low-risk groups.

Purpose: We aimed to determine the prevalence and radiological characteristics of myocardial bridging (MB) and intra-atrial course anomaly (IARCA), which are rare course variations of the right coronary artery (RCA), in the adult patient population.

Methods: Radiological images of cases over the age of 18 who underwent coronary CT angiography (CTA) examination in our clinic were scanned from the archives retrospectively, and cases with MB of the RCA and IARCA detection were included in the study. The number, age and gender distribution of the cases, whether there were any other accompanying vascular anomalies, whether there was atherosclerosis in the coronary arteries (calculation of Agatston total calcium score, calculation of atherosclerotic stenosis as a percentage, if any) were evaluated.

Results: The prevalence of MB in the RCA was 2.06%, and the prevalence of IARCA was 0.44%. In one case, both anomalies were detected together. The average MB segment length in RCA was 21.9 mm, and the average IARCA segment length was 37.9 mm. There was no atherosclerotic disease in the RCA segment where anomaly was detected.

Conclusion: Recognition of rare course anomalies of RCA before treatment procedures such as ablation and surgery is important to prevent complications that may have potentially fatal consequences.

Purpose: Differentiation of the cause of left ventricular hypertrophy (LVH) is challenging in cases with co-existing hypertension. CMR offers assessment of diffuse myocardial abnormalities via T1 mapping with extracellular volume fraction (ECV) and macroscopic fibrosis via late gadolinium enhancement imaging (LGE). The goal of the study was to understand if CMR parameters can differentiate hypertensive cardiomyopathy (HC) from cardiac amyloidosis (CA) in patients with hypertension and heart failure, using endomyocardial biopsy (EMB) as the gold standard.

Methods: We retrospectively analyzed patients with hypertension, LVH, and heart failure undergoing EMB due to uncertain diagnosis. CMR parameters including cine, LGE characteristics, T1 mapping, and ECV were analyzed.

Results: A total of 34 patients were included (mean age 66.5 ± 10.7 years, 79.4% male). The final EMB-based diagnosis was HC (10, 29%), light chain (AL) CA (7, 21%), and transthyretin (ATTR) CA (17, 50%). There was a significant difference in subendocardial LGE (p = 0.03) and number of AHA segments with subendocardial LGE (p = 0.005). The subendocardial LGE pattern was most common in AL-CA (85.7%) and African American with HC (80%). ECV elevation (≥ 29%) was present in all patients with CA (AL-CA: 57.6 ± 5.2%, ATTR-CA: 59.1 ± 15.3%) and HC (37.3 ± 4.5%).

Conclusions: Extensive subendocardial LGE pattern is not pathognomonic for CA but might also be present in African American patients with longstanding or poorly controlled HTN. The ECV elevation in HC with HF might be more significant than previously reported with an overlap of ECV values in HC and CA, particularly in younger African American patients.

Infective endocarditis (IE) is a severe cardiac condition associated with substantial morbidity and mortality. Traditionally, the modified Duke's criteria have been used to establish the diagnosis of IE, which includes using transthoracic and transesophageal echocardiography. While echocardiography performs well in diagnosing native valve endocarditis, its diagnostic accuracy decreases in patients with prosthetic valves or implanted cardiac devices such as pacemakers and defibrillators. Given these limitations and advancements in cardiac imaging, including multimodal computed tomography, magnetic resonance imaging, and positron emission tomography, there has been growing interest in the utility of these techniques for diagnosing prosthetic valve endocarditis (PVE) and Cardiovascular implantable electronic device infection (CIEDI). Although numerous studies have investigated the value of these imaging modalities, their findings have been inconsistent. This article aims to reevaluate the role of advanced imaging in diagnosing PVE and CIEDI and its impact on managing prosthetic valves and device-related infective endocarditis. Methods A comprehensive literature search was conducted in PubMed, Cochrane library, Google Scholar, Embase, and other relevant databases. Key terms such as 'infective endocarditis,' 'multimodal imaging,' 'prosthetic valve endocarditis,' '18F-FDG PET,' 'cardiac MRI,' and 'cardiac CT' were used to identify studies that investigated the role of these imaging modalities in diagnosing PVE and CIEDI. Publications with full text including randomized controlled trials, retrospective studies, case reports, case series, reviews of literature, and society guidelines were included.