Das Positionspapier der Deutschen Gesellschaft für Nuklearmedizin (DGN) und der Deutschen Gesellschaft für Kardiologie (DGK) aktualisiert die gemeinsame Stellungnahme aus dem Jahr 2018. Es gibt einen Überblick über die Einsatzbereiche und den aktuellen Stellenwert der nuklearkardiologischen Bildgebung. Behandelt werden die Themenfelder chronisches Koronarsyndrom einschließlich der Vitalitätsdiagnostik und der besonderen Bedeutung der PET, Kardiomyopathien, kardiale Sarkoidose, Amyloidose, infektiöse Endokarditis und Entzündung kardialer Implantate.

OBJECTIVES:To compare conventional segmented white-blood (WB) late gadolinium enhancement (LGE) with fixed-inversion-time (TI) single-shot dark-blood (DB) LGE for myocardial scar assessment in patients with suspected ischemic or non-ischemic cardiomyopathy. MATERIAL AND METHODS:In this prospective single-center study, consecutive patients undergoing cardiac magnetic resonance (CMR) between May 2023 and January 2024 for suspected ischemic or non-ischemic cardiomyopathy received both segmented WB LGE and single-shot DB LGE at 1.5 T. Segmented WB imaging used manually optimized TIs, single-shot DB imaging used a fixed TI of 160 ms. Short-axis stacks were assessed for presence, localization, transmurality, and pattern of LGE using the American Heart Association 17-segment model, Visual Presence Score (VPS; 0-17), and Visual Transmurality Score (VTS; 0-68). RESULTS:Sixty-six patients (mean age 46 ± 16 years; 38% female) were included, with equal numbers referred for suspected ischemic and non-ischemic cardiomyopathy (n = 33 each). Final CMR diagnoses were ischemic heart disease in 11 patients (17%), non-ischemic cardiomyopathy in 25 (38%), mixed etiology in 3 (5%), and normal CMR in 27 (41%). Single-shot DB LGE required 95% less acquisition time (19 s vs. 375 s; p < 0.001). LGE was detected in 26 patients (39%) by both techniques; no discordant classifications. VPS and VTS showed excellent agreement between WB and DB (VPS: 5.5 ± 3.2 vs. 5.2 ± 3.2; VTS: 14.5 ± 10.9 vs. 13.7 ± 10.2; Spearman's ρ ≥ 0.95). CONCLUSION:Fixed-TI single-shot DB LGE provides scar detectability and characterization comparable to conventional segmented WB LGE with minimal additional acquisition time, and may be used as a rapid complementary sequence.

This updated position paper from the German Society of Nuclear Medicine (DGN) and the German Cardiac Society (DGK) replaces the original statement from 2018. It gives an overview of the fields of application and the current value of nuclear cardiological imaging. The topics covered include chronic coronary syndrome, including viability diagnostics and the special value of positron emission tomography (PET), cardiomyopathies, cardiac sarcoidosis, amyloidosis, infectious endocarditis and inflammation of cardiac implants.

BACKGROUND:No large registries of patients with acute eosinophilic myocarditis (EM) are available. However, EM is perceived as a cardiac disease with high mortality, affecting mainly young and middle-aged adults according to small series and case reports. Awareness of the clinical presentation, associated systemic conditions, treatments, and outcomes of this uncommon condition is an unmet need. METHODS:In this international, multicenter, retrospective cohort study, 53 centers screened 193 patients with histologically proven acute EM between 1992 and 2023. After the exclusion of patients with insufficient data (n=10), symptoms lasting >30 days (n=19), or histological diagnosis not confirmed after review (n=8), 156 patients were included. RESULTS:Median age at presentation was 48 years (first to third quartile, 34-59 years) with male predominance (67.3%), and only 2 were pediatric cases (≤16 years of age; 1.3%). The main signs and symptoms at presentation were dyspnea (75.6%), fever (61.3%), and chest pain (53.2%). Unexpectedly, peripheral eosinophilia was reported in only 57.4% of cases, with a median cell count of 630 eosinophils/μL. The median left ventricular ejection fraction at presentation was 32% (first to third quartile, 25%-48%). The disorders most frequently associated with EM were eosinophilic granulomatosis with polyangiitis (22.4% of cases) and hypersensitivity forms (14.1%). Idiopathic/undefined forms accounted for 44.9% of cases, and miscellaneous causes accounted for 18.6%. In-hospital death or need for heart transplantation (HTx) occurred in 23 patients (14.7%; 22 deaths and 1 HTx), despite 43.6% being treated with temporary mechanical circulatory support and 92.9% being treated with immunosuppressive agents. Estimated rates of death or HTx at 1 and 3 years were 19.0% and 23.8%. Increased age, decreased left ventricular ejection fraction on admission, and no immunosuppressive therapy during hospitalization were independent predictors of death or HTx. A nonsignificant higher occurrence of deaths or HTx was observed in the hypersensitivity form (46.1%) compared with the eosinophilic granulomatosis with polyangiitis-associated form (13.1%) at 3 years (P=0.15). CONCLUSIONS:Acute EM can often present without peripheral eosinophilia, and rates of in-hospital and midterm mortality or HTx are high. Endomyocardial biopsy is required to reach the final diagnosis of EM because relying on peripheral eosinophilia can lead to missing diagnosis. In-hospital immunosuppression is associated with HTx-free survival, although tailored immunosuppressive therapies are needed to improve outcomes. REGISTRATION:URL: https://www.clinicaltrials.gov; Unique identifier: NCT06447935.

BACKGROUND:Risk stratification in non-ischemic cardiomyopathies (NICM) remains challenging despite guideline-based phenotypic classification using multimodal diagnostics including endomyocardial biopsy (EMB). We aimed to identify EMB-derived histological and molecular markers that improve phenotypic characterization and long-term risk stratification in patients with NICM. METHODS:In this prospective cohort study, 703 consecutive patients with symptomatic NICM underwent standardized multimodal evaluation, including clinical assessment, cardiac imaging, and endomyocardial biopsy. Biopsy specimens were analyzed using histology, immunohistochemistry, and targeted myocardial mRNA profiling. Associations between endomyocardial markers, and fibroinflammatory remodeling, imaging parameters, and molecular signatures were assessed cross-sectionally. Long-term prognostic relevance was evaluated using survival and multivariable prediction analyses during follow-up of up to fifteen years for all-cause mortality, cardiovascular mortality, implantable cardioverter-defibrillator (ICD) implantation, and appropriate ICD discharge. RESULTS:Elevated myocardial Gremlin-1 expression was associated with increased fibrosis, adverse cardiac remodelling, reduced left ventricular function, and enrichment of pro-fibrotic and inflammatory mRNA signalling pathways. Myocardial and circulating Gremlin-1 expression was independently associated with all-cause and cardiovascular mortality, and ICD implantation and discharge. Machine learning-based phenotyping using histological EMB data identified Gremlin-1 as a key predictive feature of poor prognosis. Incorporation of Gremlin-1 into predictive models significantly improved long-term cardiovascular risk stratification in NICM patients. CONCLUSION:Our results unveil that Gremlin-1 is associated with inflammation and cardiac remodelling in patients with NICM, and patients with Gremlin-1+ EMB and high plasmatic Gremlin-1 concentrations are at elevated risk to develop adverse cardiovascular events. Thus, the histological evaluation of Gremlin-1 may help to improve risk discrimination and management of NICM and HF patients.

Sarcoidosis is a systemic granulomatous inflammatory disease and patients with cardiac involvement are at increased risk of adverse events. Pathophysiologic processes leading to myocardial inflammation and fibrosis are yet to be determined. Therefore, characterization of the immune response leading to enhanced disease activity and portending poor prognosis of patients with cardiac sarcoidosis (CS) is crucial. Twenty-six patients with biopsy-proven sarcoidosis were prospectively enrolled for evaluation of suspected CS and disease activity was determined by hybrid cardiac PET/MR imaging. We then analyzed the peripheral blood of individuals with active CS (aCS), chronic CS (cCS), extracardiac sarcoidosis (noCS), and healthy controls using a 36-color spectral flow cytometry and immunoassay panel. Analysis of the inflammatory fingerprint in patients with CS uncovered 56 characteristic immune cell populations. Immunophenotyping of the inflammatory cells revealed distinctive differences between healthy individuals and patients with sarcoidosis. Further, the abundance of the cell populations was associated with cardiac manifestation and disease activity. A critical shift of lymphocytes, innate immune cells, and monocyte subsets occurred in patients with CS compared to extracardiac sarcoidosis and healthy individuals. In addition, cytokine/chemokine expression was aberrant in patients with CS and may contribute to the cardiac pathophysiology of sarcoidosis. Comprehensive characterization of the inflammatory fingerprint reveals changes in frequency and phenotype of several immune cell populations associated with cardiac sarcoidosis. Our results may add further knowledge to the pathophysiology of cardiac sarcoidosis, allowing a better stratification of patients with high disease activity who seem to benefit most from immunosuppressive therapy.

This updated position paper from the German Society of Nuclear Medicine (DGN) and the German Cardiac Society (DGK) replaces the original statement from 2018. It gives an overview of the fields of application and the current value of nuclear cardiological imaging. The topics covered include chronic coronary syndrome, including viability diagnostics and the special value of positron emission tomography (PET), cardiomyopathies, cardiac sarcoidosis, amyloidosis, infectious endocarditis and inflammation of cardiac implants.

Background/Objectives: Myocardial injury is linked to poor outcomes in respiratory infections. This study evaluated the prognostic value of high-sensitivity troponin I (hsTnI) in predicting 30-day outcomes in patients hospitalized with seasonal influenza. Methods: In this single-center retrospective study, 277 adults with laboratory-confirmed influenza were analyzed. Myocardial injury was defined by elevated hsTnI. The primary composite endpoint included 30-day mortality, intensive care unit (ICU) admission, and mechanical ventilation. Results: Patients with myocardial injury had significantly higher event rates for the composite endpoint than those without (p < 0.0001). Dynamic hsTnI elevations, reflecting acute myocardial injury, were also associated with worse outcomes (p = 0.026). Machine learning models incorporating hsTnI and laboratory data achieved excellent predictive performance (AUC = 0.99) and improved risk classification compared with conventional scores (p < 0.0001). Conclusions: Among hospitalized influenza patients, myocardial injury identified by hsTnI strongly predicted short-term adverse outcomes. Routine hsTnI assessment enhances risk stratification beyond standard clinical scores and may facilitate early identification and management of high-risk patients.

BACKGROUND:Detecting ongoing inflammation in myocarditis patients has prognostic relevance, but there are limited data on the detection of chronic myocarditis and its differentiation from healed myocarditis. OBJECTIVES:This study sought to assess the performance of cardiac magnetic resonance (CMR) for the detection of ongoing inflammation and the discrimination of chronic myocarditis from healed myocarditis. METHODS:Consecutive patients with persistent symptoms (>30 days) suggestive of myocarditis were prospectively enrolled from a single tertiary center. All patients underwent a multiparametric 1.5-T CMR protocol including biventricular strain, T1/T2 mapping, and late gadolinium enhancement (LGE). Endomyocardial biopsy was chosen for the reference standard diagnosis. RESULTS:Among 452 consecutive patients, 103 (median age: 50 years; 66 men) had evaluable CMR and cardiopathologic reference diagnosis: 53 (51%) with chronic lymphocytic myocarditis and 50 (49%) with healed myocarditis. T2 mapping as a single parameter showed the best accuracy in detecting chronic myocarditis, if abnormal in ≥3 segments (92%; 95% CI: 85-97), and provided the best discrimination from healed myocarditis, as defined by the area under the receiver-operating characteristic curve (0.87 [95% CI: 0.79-0.93]; P < 0.001), followed by radial peak systolic strain rate of the left ventricle (0.86) and the right ventricle (0.84); T1 mapping (0.64), extracellular volume fraction (0.62), and LGE (0.57). Specificity increased when T2 mapping was combined with elevation of either troponin or C-reactive protein. CONCLUSIONS:A multiparametric CMR protocol allows detection of ongoing myocardial inflammation and discrimination of chronic myocarditis from healed myocarditis, with segmental T2 mapping and biventricular strain analysis showing higher diagnostic accuracy compared with T1 mapping, extracellular volume fraction, and LGE. The use of biomarkers (troponin or C-reactive protein) may improve specificity.

Background The Viabahn stent graft has emerged as an integral tool for managing vascular diseases, but there is limited long-term data on its performance in emergency endovascular treatment. This study aimed to assess safety, technical success, and long-term efficacy of the Viabahn stent graft in emergency treatment of arterial injury. Methods We conducted a retrospective single tertiary centre analysis of patients who underwent Viabahn emergency arterial injury treatment between 2015 and 2020. Indication, intraoperative complications, technical and clinical success, and major adverse events at 30 days were evaluated. Secondary efficacy endpoints were the primary and secondary patency rates assessed by Kaplan–Meier analysis. Results Forty patients (71 ± 13 years, 19 women) were analyzed. Indications for Viabahn emergency treatment were extravasation (65.0%), arterio-venous fistula (22.5%), pseudoaneurysm (10.0%), and arterio-ureteral fistula (2.5%). No intraoperative adverse events occurred, technical and clinical success rates were 100%. One acute stent graft occlusion occurred in the popliteal artery on day 9, resulting in a 30-day device-related major-adverse-event rate of 2.5%. Median follow-up was 402 days [IQR, 43–1093]. Primary patency rate was 97% (95% CI: 94–100) in year 1, and 92% (95% CI: 86–98) from years 2 to 6. One stent graft occlusion occurred in the external iliac artery at 18 months; successful revascularization resulted in secondary patency rates of 97% (95% CI: 94–100) from years 1 to 6. Conclusion Using Viabahn stent graft in emergency arterial injury treatment had 100% technical and clinical success rates, a low 30-day major-adverse-event rate of 2.5%, and excellent long-term patency rates.

Purpose: The purpose of this study was to evaluate the capabilities of photon-counting (PC) CT combined with artificial intelligence-derived coronary computed tomography angiography (PC-CCTA) stenosis quantification and fractional flow reserve prediction (FFRai) for the assessment of coronary artery disease (CAD) in transcatheter aortic valve replacement (TAVR) work-up. Materials and methods: Consecutive patients with severe symptomatic aortic valve stenosis referred for preTAVR work-up between October 2021 and June 2023 were included in this retrospective tertiary single-center study. All patients underwent both PC-CCTA and ICA within three months for reference standard diagnosis. PC-CCTA stenosis quantification (at 50% level) and FFRai (at 0.8 level) were predicted using two deep learning models (CorEx, Spimed-AI). Diagnostic performance for global CAD evaluation (at least one significant stenosis >= 50% or FFRai <= 0.8) was assessed. Results: A total of 260 patients (138 men, 122 women) with a mean age of 78.7 +/- 8.1 (standard deviation) years (age range: 51-93 years) were evaluated. Significant CAD on ICA was present in 126/260 patients (48.5%). Per-patient sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy were 96.0% (95% confidence interval [CI]: 91.0-98.7), 68.7% (95% CI: 60.1-76.4), 74.3 % (95% CI: 69.1 -78.8), 94.8% (95% CI: 88.5-97.8), and 81.9% (95% CI: 76.7-86.4) for PC-CCTA, and 96.8% (95% CI: 92.1-99.1), 87.3% (95% CI: 80.5-92.4), 87.8% (95% CI: 82.2-91.8), 96.7% (95% CI: 91.7-98.7), and 91.9% (95% CI: 87.9 -94.9) for FFRai. Area under the curve of FFRai was 0.92 (95% CI: 0.88-0.95) compared to 0.82 for PC-CCTA (95% CI: 0.77-0.87) (P < 0.001). FFRai-guidance could have prevented the need for ICA in 121 out of 260 patients (46.5%) vs. 97 out of 260 (37.3%) using PC-CCTA alone (P < 0.001). Conclusion: Deep learning-based photon-counting FFRai evaluation improves the accuracy of PC-CCTA >= 50% stenosis detection, reduces the need for ICA, and may be incorporated into the clinical TAVR work-up for the assessment of CAD. (c) 2024 The Author(s). Published by Elsevier Masson SAS on behalf of Soci & eacute;t & eacute; fran & ccedil;aise de radiologie. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

Abstract Background Cardiomyopathies are the main cause of progressive heart failure (HF) and despite outstanding advances of diagnostics and therapies, mortality remains high.1,2 The current phenotype-based classification of non-ischemic cardiomyopathies (NICM) is based on a clinical workflow including endomyocardial biopsy (EMB).3-5 Inflammation and fibrosis are essentially involved in progression of HF and lead to development of adverse cardiovascular (CV) events.6,7 The diagnostic algorithm facilitates risk stratification of HF patients but nonetheless risk factors often remain inapparent prior to disease incidence. Objective In this study we investigate EMB patters in patients with NICM and elucidate alterations associated with phenotypic diversity and progression of HF. Methods We prospectively enrolled patients with HF due to NICM in a large-scale all-comers cohort (n=703). All patients underwent guideline-based phenotypic classification including EMB, and RNA data were acquired alongside histological analyses within the myocardium. We then performed a ten-year follow-up to screen for disease progression. Results A guideline-based classification of patients with NICM resulted in a phenotyping of aetiological risk groups (Figure 1A). We found that characteristic expression of fibroinflammatory mediators within the myocardium occurred in patients with symptomatic NICM (Figure 1B). We found that elevated expression of Gremlin-1 (Grem), a potent downstream profibrotic mediator of TGFß pathway, was associated with pro-fibrotic cardiac remodelling (Figure 1C). Further, Gremlin-1 was associated with a significant decrease of left ventricular functional capacity and inversely correlated with late gadolinium enhancement (LGE) (Figure 1D&E). Moreover, the expression of Gremlin-1 was enriched with pro-fibrotic and inflammatory RNA signalling pathways hinting at underlying pathophysiological cascades (Figure 2A&B). Most strikingly, the expression of Gremlin-1 was independently associated with an increased CV risk during the ten-year follow-up (Figure 2C). Thus, patients with Gremlin-1+ EMB were at elevated risk to suffer from all-cause mortality and number of patients eligible for ICD implantation was critically enhanced in patients with Gremlin-1+ EMB (Figure 2D-F). In addition, the estimation of an elevated CV risk by machine learning including Gremlin-1 improved the ten-year risk stratification among all patients with NICM (Figure 2G). Thus, Gremlin-1 was associated with cardiac remodelling and disease activity in HF patients (Figure 2H). Conclusion Our results unveiled that Gremlin-1 is associated with inflammation and cardiac remodelling in patients with symptomatic cardiomyopathy and patients with Gremlin-1+ EMB are at elevated risk to develop adverse CV events. Thus, the histological evaluation of Gremlin-1 may help to identify pathophysiological cascades and improve early risk discrimination and management of HF patients.Figure 1Figure 2

BACKGROUND:Signs and symptoms of myocarditis may vary among men and women. OBJECTIVES:This study aimed to analyze sex-specific differences in the presentation and outcomes of patients with suspected myocarditis. METHODS:Patients meeting clinical ESC criteria for suspected myocarditis were included from two tertiary centers between 2002 and 2021. Baseline characteristics, cardiac magnetic resonance (CMR), and outcomes (i.e. major adverse cardiovascular events (MACE), including all-cause death, ventricular tachycardia, hospitalization for heart failure, and recurrent myocarditis) in women and men were compared. RESULTS:776 consecutive patients (mean age 48 ± 16 years, 286 [36.9 %] women) were followed for a median of 3.7 years. Compared to men, women presented more often with severe dyspnea (NYHA III-IV: 25.9 % versus 19.2 % of men; p = 0.029), while chest pain was more frequent in men (39.8 % versus 32.2 % in women; p = 0.037). There was no difference in left ventricular ejection fraction at the time of presentation (women: 48.5 ± 15.4 % versus men: 48.6 ± 15.1 %;p = 0.954). Further, no sex-specific difference in the occurrence of MACE was noted; however, women were more often hospitalized for heart failure than men (women: 9.8 % versus men: 5.3 %, p = 0.018). Accordingly, female sex was independently associated with heart failure hospitalization in an adjusted model (HR: 2.31, 95 % CI:1.25-4.26; p = 0.007). The prognostic value of CMR markers was similar in both sex. CONCLUSION:Significant sex-specific differences in presentations and imaging findings are found in patients with suspected myocarditis. Female sex is associated with a twofold increase in the risk of heart failure hospitalization, which should be considered in risk stratification.

ImportanceAccurate risk stratification of nonischemic dilated cardiomyopathy (NIDCM) remains challenging.ObjectiveTo evaluate the association of cardiac magnetic resonance (CMR) imaging–derived measurements with clinical outcomes in NIDCM.Data SourcesMEDLINE, Embase, Cochrane Library, and Web of Science Core Collection databases were systematically searched for articles from January 2005 to April 2023.Study SelectionProspective and retrospective nonrandomized diagnostic studies reporting on the association between CMR imaging–derived measurements and adverse clinical outcomes in NIDCM were deemed eligible.Data Extraction and SynthesisPrespecified items related to patient population, CMR imaging measurements, and clinical outcomes were extracted at the study level by 2 independent reviewers. Random-effects models were fitted using restricted maximum likelihood estimation and the method of Hartung, Knapp, Sidik, and Jonkman.Main Outcomes and MeasuresAll-cause mortality, cardiovascular mortality, arrhythmic events, heart failure events, and major adverse cardiac events (MACE).ResultsA total of 103 studies including 29 687 patients with NIDCM were analyzed. Late gadolinium enhancement (LGE) presence and extent (per 1%) were associated with higher all-cause mortality (hazard ratio [HR], 1.81 [95% CI, 1.60-2.04]; P < .001 and HR, 1.07 [95% CI, 1.02-1.12]; P = .02, respectively), cardiovascular mortality (HR, 2.43 [95% CI, 2.13-2.78]; P < .001 and HR, 1.15 [95% CI, 1.07-1.24]; P = .01), arrhythmic events (HR, 2.69 [95% CI, 2.20-3.30]; P < .001 and HR, 1.07 [95% CI, 1.03-1.12]; P = .004) and heart failure events (HR, 1.98 [95% CI, 1.73-2.27]; P < .001 and HR, 1.06 [95% CI, 1.01-1.10]; P = .02). Left ventricular ejection fraction (LVEF) (per 1%) was not associated with all-cause mortality (HR, 0.99 [95% CI, 0.97-1.02]; P = .47), cardiovascular mortality (HR, 0.97 [95% CI, 0.94-1.00]; P = .05), or arrhythmic outcomes (HR, 0.99 [95% CI, 0.97-1.01]; P = .34). Lower risks for heart failure events (HR, 0.97 [95% CI, 0.95-0.98]; P = .002) and MACE (HR, 0.98 [95% CI, 0.96-0.99]; P < .001) were observed with higher LVEF. Higher native T1 relaxation times (per 10 ms) were associated with arrhythmic events (HR, 1.07 [95% CI, 1.01-1.14]; P = .04) and MACE (HR, 1.06 [95% CI, 1.01-1.11]; P = .03). Global longitudinal strain (GLS) (per 1%) was not associated with heart failure events (HR, 1.06 [95% CI, 0.95-1.18]; P = .15) or MACE (HR, 1.03 [95% CI, 0.94-1.14]; P = .43). Limited data precluded definitive analysis for native T1 relaxation times, GLS, and extracellular volume fraction (ECV) with respect to mortality outcomes.ConclusionThe presence and extent of LGE were associated with various adverse clinical outcomes, whereas LVEF was not significantly associated with mortality and arrhythmic end points in NIDCM. Risk stratification using native T1 relaxation times, extracellular volume fraction, and global longitudinal strain requires further evaluation.

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. 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