The International Journal of Cardiovascular Imaging

Echocardiographic evaluation of the cardiopulmonary unit is difficult in case of tricuspid regurgitation (TR) and combined echocardiographic parameters could be useful. This study aimed to assess the variation of simple and combined echocardiographic parameters analysing the cardiopulmonary unit according to the severity of TR. TR was graded according to Hahn’s classification in 179 patients. Classical morphological, function and load parameters analysing right ventricle were assessed. Combined parameters of function and load; morphology and load; and morphology-load-function index were calculated. We used ROC curve analysis to analyze the diagnostic value of echocardiographic parameters to predict potential high or low surgical risk of mortality according to TRISCORE in 82 patients. Simple parameters were significatively different among groups with a nonlinear progression between the 5 levels of severity of TR. Combined parameters were also significatively different among groups. Among them, myomechanical index (MMI = RV-RA mean pressure gradient x RVFWS/indexed RAED area × 10–2) and morphology-load-function index (MLF = RVED length/area x TR TVI x RVFWS) had a linear progression between the 5 groups and had the best predictive value for TRISCORE high and low risk. Combined parameters are relevant to evaluate cardiopulmonary unit in patients with various degrees of TR, especially when combining morphology, function, and load parameters, and are potentially interesting in their prognostic assessment, as shown by the good predictive value for TRISCORE risk.Graphical abstract[graphic not available: see fulltext]

Atrial fibrillation (AF) poses substantial challenges in cardiovascular diseases, impacting patient health and economic burdens. Understanding the mechanical effects of AF on the left atrium (LA) and assessing the influence of treatment modalities on LA functions are critical. This study aims to assess the efficacy of echocardiographic and biochemical parameters in predicting AF recurrence following second generation cryoballoon ablation (CB-2). Ninety-two patients with symptomatic AF, treated with CB-2 at Istanbul University-Cerrahpaşa, Faculty of Medicine, Department of Cardiology, were prospectively examined from January 2021 to July 2023. The study endeavors to develop a predictive model for AF recurrence, investigating the relationship between echocardiographic measurements and serum biomarkers with recurrence. The follow-up duration for echocardiographic assessments and biochemical analyses was systematically documented. The study revealed a significant enhancement in LA mechanical functions during echocardiographic follow-ups three months post-procedure. Specifically, LA strain parameters emerged as significant predictors of recurrence (LAsr: 95%CI 1.004–1.246, p = 0.047; LAsct: 95%CI 1.040–1.750, p = 0.024). Biochemical analyses demonstrated a correlation between elevated PRO-BNP levels and an increased risk of recurrence (95%CI 1.000–1.003, p = 0.012). Moreover, specific biomarkers such as MYBPHL, which demonstrated increased levels post-procedure, were deemed indicative of atrial damage, suggesting potential additional atrial substrate modification beyond PVI. Consequently, improvements in LA function post-cryoballoon ablation and biochemical markers have surfaced as potential indicators for predicting AF recurrence. This study elucidates the effectiveness of CB-2 in treating AF and its impact on LA functions. Notably, LA strain measurements and PRO-BNP levels have emerged as reliable indicators for predicting recurrence. Beyond clinical implications, our research establishes a foundation for a deeper understanding of the role of CB-2 in AF management and factors associated with recurrence.

This study was conducted to develop and validate a deep learning model for delineating intravascular ultrasound (IVUS) images of coronary arteries.Using a total of 1240 40-MHz IVUS pullbacks with 191,407 frames, the model for lumen and external elastic membrane (EEM) segmentation was developed. Both frame- and vessel-level performances and clinical impact of the model on 3-year cardiovascular events were evaluated in the independent data sets. In the test set, the Dice similarity coefficients (DSC) were 0.966 ± 0.025 and 0.982 ± 0.017 for the lumen and EEM, respectively. Even at sites of extensive attenuation, the frame-level performance was excellent (DSCs > 0.96 for the lumen and EEM). The model (vs. the expert) showed a better temporal consistency for contouring the EEM. The agreement between the model- vs. the expert-derived cross-sectional and volumetric measurements was excellent in the independent retrospective cohort (all, intra-class coefficients > 0.94). The model-derived percent atheroma volume > 52.5% (area under curve 0.70, sensitivity 71% and specificity 67%) and plaque burden at the minimal lumen area site (area under curve 0.72, sensitivity 72% and specificity 66%) best predicted 3-year cardiac death and nonculprit-related target vessel revascularization, respectively. In the stented segment, the DSCs > 0.96 for contouring lumen and EEM were achieved. Applied to the 60-MHz IVUS images, the DSCs were > 0.97. In the external cohort with 45-MHz IVUS, the DSCs were > 0.96. The deep learning model accurately delineated vascular geometry, which may be cost-saving and support clinical decision-making.

To preliminarily verify the feasibility of a deep-learning (DL) artificial intelligence (AI) model to localize pulmonary embolism (PE) on unenhanced chest-CT by comparison with pulmonary artery (PA) CT angiography (CTA). In a monocentric study, we retrospectively reviewed 99 oncological patients (median age in years: 64 (range: 28–92 years); percentage of female: 39.4%) who received unenhanced and contrast-enhanced chest CT examinations in one session between January 2020 and October 2022 and who were diagnosed incidentally with PE. Findings in the unenhanced images were correlated with the contrast-enhanced images, which were considered the gold standard for central, segmental and subsegmental PE. The new algorithm was trained and tested based on the 99 unenhanced chest-CT image data sets. Based on them, candidate boxes, which were output by the model, were post-processed by evaluating whether the predicted box intersects with the patient’s lung segmentation at any position. The AI-based algorithm proved to have an overall sensitivity of 54.5% for central, of 81.9% for segmental and 80.0% for subsegmental PE if taking n = 20 candidate boxes into account. Depending on the localization of the pulmonary embolism, the detection rate for only one box was: 18.1% central, 34.7% segmental and 0.0% subsegmental. The median volume of the clots differed significantly between the three subgroups and was 846.5 mm3 (IQR:591.1-964.8) in central, 201.3 mm3 (IQR:98.3-390.9) in segmental and 110.6 mm3 (IQR:94.3–128.0) in subsegmental PA (p < 0.05). The new algorithm proved to have high sensitivity in detecting PE in particular in segmental/subsegmental localization and may guide to decide whether a second contrast enhanced CT is necessary.

Existing evidence of the effect of spinal anesthesia (SA) on cardiac systolic function is scarce and inconclusive. This study aimed to evaluate the effects induced by a single injection of SA for elective vascular surgery on left (LV) and right (RV) ventricular systolic performance using transthoracic echocardiography (TTE). A prospective study. Single-center study, university hospital. Adult patients undergoing elective vascular surgery with SA. During patients’ evaluations fluid administration was targeted using arterial waveform monitoring. All patients underwent TTE studies before and after SA induction for the assessment of indices reflective of LV and RV systolic function. Blood samples were drawn to measure troponin and brain natriuretic peptide (BNP) levels. A total of 62 patients (88.7% males, 71.00 ± 9.42 years) were included in the study. The primary outcome was the difference before and after SA in LV ejection fraction (LVEF) and tricuspid annular plane systolic excursion (TAPSE). In total population, LVEF significantly increased after SA 53.07% [16.51]vs 53.86% [13.28]; p < 0.001). End-systolic volume (ESV, 69.50 [51.50] vs. 65.00 [29.50] ml; p < 0.001) decreased while stroke volume (SV) insignificantly increased (70.51 ± 16.70 vs. 73.00 ± 18.76 ml; p = 0.131) during SA. TAPSE remained unchanged (2.23 [0.56] vs. 2.25 [0.69] mm; p = 0.558). In patients with impaired compared to those with preserved LV systolic function, the changes evidenced in LVEF (7.49 ± 4.15 vs. 0.59 ± 2.79; p < 0.001), ESV (-18.13 ± 18.20 vs-1.53 ± 9.09; p < 0.001) and SV (8.71 ± 11.96 vs-1.43 ± 11.89; p = 0.002) were greater. This study provides evidence that SA in patients undergoing elective vascular surgery improved LV systolic function, while changes in RV systolic function are minimal.Graphical abstract[graphic not available: see fulltext]

AimTo assess in a phantom and in a clinical study the influence of different reconstruction parameters on quantitative SPECT/CT values in the assessment of cardiac transthyretin amyloidosis (ATTR-CA).MethodA hybrid SPECT/CT camera with a proprietary software for SPECT/CT-based quantification of myocardial uptake of 99mTc-DPD was used. Images were reconstructed with 6 different protocols, differing in iterations, subset and Gaussian filter. Quantitative values were tested in phantom and clinical studies across different reconstruction protocols. Values were automatically calculated both as kBq/ml and as maximum, mean and peak standardized uptake value (SUV).ResultsThe standard parameters provided by the manufacturer (reconstruction 1) yielded higher accuracy in quantifying, with measuring 97.1% of the expected activity in the phantom. Reconstructions with higher Gaussian filter caused a systematic underestimation of quantified values of 27.2% (p < 0.01). Results were replicated in the clinical study consisting of 155 patients with suspected ATTR-CA, wherein changing the number of iterations and subsets was not associated with a statistically significant difference in quantitative values compared to reconstruction 1, while a higher Gaussian filter caused inaccurate quantification with up to 24% of difference measured.ConclusionDifferent reconstruction parameters can impact quantitative values on 99mTc-DPD SPECT/CT. Therefore, parameters should be maintained consistently across different acquisitions and different centres.

doi: 10.1007/s10554-024-03233-5pmid: 39235726

IntroductionThe ratio between tricuspid annular plane systolic excursion (TAPSE) and estimated pulmonary artery systolic pressure (PASP) has been shown to be a reliable, non-invasive surrogate of the right ventricular-pulmonary artery (RV-PA) coupling. The present study analysed the association between TAPSE/PASP and response to cardiac resynchronization therapy (CRT) and the prognostic role of RV-PA in patients undergoing CRT implantation. The primary endpoints were: the association between baseline TAPSE/PASP and CRT response/cardiovascular and all-cause death.Methods and ResultsAll patients having undergone CRT implantation in our Center from 2016 to 2020 were included in our retrospective analysis. The RV-PA coupling was assessed by echocardiography at baseline and 1 year follow up in CRT recipients. The cut-off value of TAPSE/PASP resulted from ROC curve analysis (i.e.<0.33 mm/mmHg). A total of 229 patients (age 69.9 ± 10.1 years; 77.7% men) were included. During a mean follow-up of 44.2 ± 17.9 months, 40 (17.5%) patients died. The baseline value of TAPSE/PASP was not significantly associated with CRT response. Patients with a more impaired TAPSE/PASP ratio had significantly worse survival rates. On multivariate Cox regression, only TAPSE/PASP ratio and estimated glomerular filtration rate were independently associated with all-cause death. Finally, the TAPSE/PASP ratio significantly increased after CRT implantation in the group of “responders” whereas it did not change in ‘non-responders’.ConclusionsThe baseline value of TAPSE/PASP ratio was not associated with CRT response. However, the TAPSE/PASP ratio was a strong predictor of both all-cause and cardiovascular death in CRT recipients.